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One of BCA's long-standing clients, Ms. Mea, recently paid us a visit at our Montreal office. Ms. Mea is an experienced and successful investor who has been reading different BCA products for many years. She noted that over the years she has both agreed and disagreed with our market views, but that she appreciates our thematic approach including themes, analysis and views, as they are important to her investment process. Like many of our clients, Ms. Mea has been disappointed by the Emerging Markets Strategy (EMS) team's EM/China call, which has not been correct over the past 18 months. My team and I spent a few hours with Ms. Mea detailing our views and methodology. Despite some tough discussions, she said she found the dialogue valuable. Reflecting on our meeting, I thought it would be beneficial to share the key points with all of EMS clients. This report is a summary of that. Ms. Mea and I agreed to continue the debate as the story plays out, so I will be meeting with her occasionally in Europe when I travel there. Ms. Mea: Clearly your recommended strategy has been wrong for some time. I am aware that your negative view on EM/China and strategy was right and profitable from 2011 until early 2016. Nevertheless, since early last year EM risk assets have rallied considerably, and not participating in this rally has been painful - not to mention being short EM risk assets. For our global equity funds, underweighting EM within the global universe did not hurt performance in 2016. However, this year the EM equity benchmark has considerably outperformed the global averages (Chart I-1). So, what has gone wrong, and why haven't you changed your view already? Chart I-1EMS's Big Picture Asset Allocation Strategy: EM Relative To DM Stock Prices EMS's Big Picture Asset Allocation Strategy: EM Relative To DM Stock Prices EMS's Big Picture Asset Allocation Strategy: EM Relative To DM Stock Prices Answer: My objective today is not to dispute your comments - my view and investment strategy have clearly gone wrong. Rather, I would like to highlight what has gone wrong as well as elaborate on my methodology and thought process. Let me be clear, if I thought in 2016 or early 2017 that the market would rally for more than six months and - in the case of EM equities - by more than 20%, I would have recommended clients to play this rally regardless of my big picture themes and views. The same is true today. My general view has been based on two pillars: Chinese growth and Federal Reserve policy/the U.S. dollar. 1. The first pillar of my argument has been that China's growth improvement would prove unsustainable due to lingering credit imbalances/excesses. In the April 13, 2016 report,1 I laid out the case that China's 2015-16 fiscal stimulus of RMB 850 billion would be offset by a potential slowdown in credit growth from an annual growth rate of 11.5% to 9-9.5%. Chart I-2China: Borrowing Costs Have Been Rising China: Borrowing Costs Have Rising China: Borrowing Costs Have Rising This thesis of credit growth deceleration was based on the natural tendency of credit growth to gravitate toward nominal GDP growth, especially since the credit-to-GDP ratio had massively overshot in the preceding seven years. Besides, since 2013 high-profile policymakers in China had been talking about the need for deleveraging, containing financial excesses, and not repeating the mistakes of 2009-2010, when money and credit was allowed to run at an extremely strong pace. In first half of 2016, I downplayed the recovery in money and credit aggregates arguing that they are temporary and unsustainable. When a country has a lingering credit bubble - which has been the case in China, I am biased to downplay upticks in money and credit growth and easing in monetary policy. At the same time, I put a greater emphasis on both monetary tightening and slowdown in money/credit when the economy suffers from credit excesses. The opposite is also true in cases where there are no excesses/imbalances. Since November 2016, the People Bank of China (PBoC) has been tightening liquidity and pushing money market rates and corporate bond yields higher (Chart I-2). This has been taking place in addition to regulatory tightening on both bank and shadow banking activities. As a result, I have been predicting that regulatory and liquidity tightening amid lingering credit and speculative excesses would weigh on money, credit and capital spending. Importantly, I reckoned that financial markets would be forward-looking and would reverse their rally in anticipation of weaker growth down the road instead of reacting to robust - yet backward looking - growth data. Indeed, money and credit growth have already slowed to all-time lows (Chart I-3). Nevertheless, broad economic growth has not slowed (Chart I-4). This has also been true for China's impact on the rest of the world - the mainland's imports have remained robust (Chart I-5). Chart I-3China: Money And Credit Aggregates China: Money And Credit Aggregates China: Money And Credit Aggregates Chart I-4China: Business Cycle Perspective China: Business Cycle Perspective China: Business Cycle Perspective Chart I-5China: Money Impulses And Imports China: Money Impulses And Imports China: Money Impulses And Imports Not only have I been surprised by the mainland economy's ability to withstand the slowdown in money/credit so far, but I have also been caught off guard by how financial markets have shrugged off the rise in onshore interest rates and the deceleration in money/credit. That said, liquidity tightening works with a time lag. The fact that it has not yet had an impact on the real economy does not mean it won't going forward. 2. The second pillar of my view has been that the Fed's dovish stance would prove transitory. The global market rally began in February 2016 when the Fed sounded dovish in the face of a surging U.S. dollar, collapsing commodities prices, very weak global trade and plunging global risk assets. Remarkably, global growth and corporate profits have recovered very strongly, the U.S. dollar has weakened considerably and commodities and global tradable goods prices have rebounded. As such, I expected that U.S. interest rate expectations would move higher, dampening the carry trade. Unfortunately, markets' reactionary functions does not always follow a symmetrical logic. The decline in U.S. inflation rate amid a weak dollar, rising import prices and robust U.S. growth - especially the tight labor market and some wages pressures (Chart I-6) - has puzzled me. Ms. Mea: Why have you disregarded the clear improvements in EM profits and global trade in 2017? Answer: I have been aware of improving economic data and corporate profits. Yet, these types of data are backward looking and are not a guarantee of future trends. Even though the released economic data and corporate profits have been strong, our forward-looking indicators for both EM and China have been heralding and continue to point to a major downtrend in EM profits (Chart I-7). Chart I-6Subtle Upside Risks To U.S. Inflation Subtle Upside Risks To U.S. Inflation Subtle Upside Risks To U.S. Inflation Chart I-7EM Profits Are At Risk EM Profits Are At Risk EM Profits Are At Risk Importantly, I presume stock prices lead profits. Hence, it is dangerous to turn bullish when forward-looking indicators that lead profits are already flashing red. These are empirical indicators and have a great track record. As such, I have placed substantial weight on them rather than on backward-looking economic and profit data. Since early 2017, I have been facing the following dilemma: Should I change my view based on strong, yet backward-looking, profit data, or remain cautious based on forward-looking growth indicators as well as our big-picture themes. I chose the latter, which in retrospect was wrong. Looking back, the biggest mistake I made was putting little weight on how markets have been trading. EM and global stocks continue to trade as they would in a genuine bull market: they have looked past negative news and rallied a lot in response to positives. Ms. Mea: You mentioned big-picture themes. Can you elaborate on your framework and methodology? Answer: At the core of my analytical framework lies investment themes. I formulate these themes based on a series of in-depth research reports. These themes have multi-year relevance - I expect them to have staying power beyond one year. These themes represent an anchor to my view and strategy. Without anchor themes, I would tend to change my views back and forth based on fluctuations in economic data or swings in financial markets. Having established themes, my team and I monitor cyclical data, market dynamics/signposts and any type of evidence to prove or refute those established themes. Clients have recently been asking why I only show charts/evidence that confirm my view, and rarely entertain the alternative scenario. Indeed, there are always contradictory signals, signposts and data that I identify every week. Yet, I still choose to show those that support my ongoing themes and views. Why? Because I opt to convey a well-argued coherent message to my clients. In this context, I use the limited client-time allocated to reading our reports to highlight the reasons supporting my current themes and high-conviction views. It would also be unhelpful for readers if I demonstrate several charts that herald a bullish stance, and then conclude the opposite. If I were to utilize the alternative approach, i.e., present data and evidence on both sides of the debate, the report would be ambiguous. As a result, readers would gain little conviction and would likely be left confused. Each of these approaches has advantages and disadvantages: when the view plays out, investors see the correct angle and, thereby, develop a strong conviction on the strategy, and hopefully act upon it. Conversely, when the view goes wrong, investors typically wish they had seen the opposite side as well. Chart I-8China: No Deleveraging So Far China: No Deleveraging So Far China: No Deleveraging So Far In short, my goal is to leave clients with a clear and well-argued message when I have high conviction. As to conviction level, like all investors, I am dealing with a black box when gauging the outlook for financial markets. I am never 100% certain; I make investment recommendations only when my conviction level is somewhere around 65-75%. Generally, I do not discuss the areas where my conviction level is less than 60%. Less than 60% means "I do not know". An example of this is whether the current tech rally will persist. Importantly, I try to bring to clients' attention data and evidence that they may not be aware of and analytical points that differ from commonly known market narratives. Investors are aware of overall global financial market dynamics and ongoing narratives. My goal is to add value to their knowledge with the framework of thematic investment research, and to highlight new and potentially market moving charts, data and evidence. My major theme on China in the past several years has been the following: Chinese banks have originated too much money, and the corporate sector has taken on a large amount of leverage. This, in tandem with speculative excesses in the shadow banking and property markets, pose considerable downside risks to capital spending growth in the mainland. This is especially the case given that both liquidity and regulatory tightening of banks and non-banks already begun in late 2016. While financial markets, economic data and corporate profits have gone against this theme, this does not mean credit/money excesses in China have disappeared or do not exist. On the contrary, they have gotten even bigger now (Chart I-8, top panel). The Chinese economy has recovered and benefited commodities prices and the rest of EM due to another round of substantial money/credit injection. Broad money and broad credit have surged by about RMB 45-50 trillion since the middle of 2015 - depending on which measure one uses (Chart I-8, bottom panel). In the context of mushrooming leverage, ongoing policy tightening entails a poor risk-reward profile for bullish bets on mainland growth. This is why I am reluctant to abandon this theme and the bearish view. Ms. Mea: What would it take to change your big picture theme on China? To fundamentally reverse my view on China and commodities on a multi-year time line, I would need to reject my theme that China has meaningful credit excesses and imbalances, or buy into the view that these imbalances are a natural outcome of China's excess savings and will never correct. I have strong conviction in my big picture theme and I have not seen convincing arguments to change it. That said, if I come to the conclusion that EM risk assets and China-related plays will rally for six months or longer, I will change the investment strategy and recommend playing that rally. In this case my market strategy will change even though the big picture theme remains intact. As to the relationship between national and household savings, credit, and money, I have elaborated at great length that money creation and credit excesses do not originate from excess savings.2 Hence, it is simply not natural for a country with excess savings to experience and sustain credit bubbles. Importantly, adjustments in terms of credit excesses/deleveraging in China have not even started (Chart 8, top panel). This does not imply that investors should wait until deleveraging ends before turning positive on mainland growth. Markets are forward looking and will bottom when they see the light at the end of tunnel. But it is very dangerous to be positive when the adjustment has not yet began. It appears China's capital spending in general and construction in particular - the most vulnerable and credit-dependent segments - have in recent years been fluctuating in mini-cycles, similar to what played out in Japan during the 1990s and 2000s. I am not suggesting that China resembles Japan entirely, but comparing their mini cycles is a worthwhile exercise. Chart I-9 shows that the Japanese economy, money, credit and share prices were on a rollercoaster ride in the 1990s and 2000s. Notably, the profile of Chinese H shares fits the profile of Japan's stock market during that period (Chart I-10). On average, the recovery phase of these mini-cycles/equity rallies lasted about 20-24 months. Chart I-9Mini-Cycles In Japan In The 1990-2000s Mini-Cycles In Japan In The 1990-2000s Mini-Cycles In Japan In The 1990-2000s Chart I-10Chinese H-Shares Now And Nikkei In 1990s Chinese H-Shares Now And Nikkei In 1990s Chinese H-Shares Now And Nikkei In 1990s My judgment is that the recovery in the Chinese economy and related financial markets over the past 18 months resembles the mini cycles Japan experienced in the 1990s and 2000s. If so, after the rally in the past 18 months, forward-looking investment strategy should be focused on identifying signposts of a reversal. Consistently, given my bias stemming from our core themes and the fact that financial markets are forward looking and have already rallied a lot, I have been looking for signs of a top in China's business cycle and Asia's trade flows. It is pointless for me to change the view if my bias is that markets will reverse their trend in the next couple of months. Investors who are bullish and long but are somewhat concerned about China's growth sustainability still may want to monitor and be aware when the business cycle and markets will reverse. This is where I believe our research is helpful and relevant to investors with a bullish bias. It is hard to forecast what would be an inflection point to overturn the current financial market trend. It could be an unambiguous message from China's Communist Party Congress in the coming days that containing financial risks - a code word for deleveraging - is a major policy priority, or it could be weak economic data in China, or lower commodities prices and weaker EM currencies, being the flipside of a stronger dollar. Chart I-11China: Beware Of Rising Inflation China: Beware Of Rising Inflation China: Beware Of Rising Inflation Ms. Mea: It seems there is no silver lining in your view. Does this mean Chinese policymakers cannot do much to generate a positive outcome for the economy and financial markets? Answer: Chinese policymakers are in a very tough position. Yet it does not mean there is no silver lining. I assign a 20-25% probability that policymakers can stabilize leverage in the economy and financial system without a meaningful growth slump. If this scenario transpires, my negative view on EM and China-related plays will continue to be wrong. There is a 40-45% probability that growth will slump as the authorities focus on deleveraging and structural reforms (allowing markets to play a greater role in resource/capital allocation), and that policy tightening will begin biting. This heralds a deflationary outcome from a cyclical perspective, but it also represents a necessary adjustment to ensure efficiency gains and productivity-led growth over the long run. In fact, this would make me structurally bullish on China's growth again. There is also a 30-35% probability that policymakers - having no tolerance for any kind of growth slump - will continue to stimulate via money/credit and fiscal deficits. The outcome of this scenario will be an inflation outbreak Notably, as I argued in the October 4th 2017 report,3 underlying inflationary pressures are rising, as shown in Chart I-11. Unless growth decelerates meaningfully, inflation will need to be tackled. If not, capital outflows from residents will escalate again, and the currency will come under depreciation pressure given that the deposit rate is at a very low 1.5%. Rising inflation limits policymakers' maneuvering room: they have to tighten and cannot stimulate rapidly and considerably when growth slows. In short, a silver-lining scenario - which would include the authorities curbing out excesses while preserving overall growth, and especially capital spending growth - is always there and is a well-known narrative in the investment community. I do not write about it because I assign a 20-25% probability of it actually panning out. Why not more? Because the imbalances and excesses are currently so large that it will be difficult to contain them without jeopardizing growth. Finally, my view on China does not spread to the entire economy - our focal point has been and remains capital expenditures in general and construction in particular. These areas are being financed by credit, and consume a lot of raw materials and capital goods. Mainland imports - which are heavy in commodities and capital goods (the two account for 95% of total imports) - are the link between mainland investment expenditures and the rest of the world in general, and EM in particular. The latter will suffer if Chinese imports contract. Ms. Mea: It seems your big-picture themes have considerable influence on your views and strategy. How have your big-picture investment themes evolved over time? Last decade, my overreaching theme was that EM and China were structurally sound and that EM/China/commodities were in a bull market. So, I went from being a staunch bull to a resolute bear. I took over the EMS strategy service in 2005, and was bullish on EM, China and commodities up until 2010 (Chart I-1 on page 1). In 2005, I published an in-depth report arguing that commodities were in secular bull market due to demand from China.4 In April 2006, I pioneered a new theme that in the case of a U.S./DM recession, EM could stimulate and boost domestic demand - an out-of-consensus thesis5 at the time. Having these themes in mind, I recommended upgrading/accumulating Chinese stocks amid the Lehman crisis in the fall of 2008.6 The message was that Chinese policymakers could and would stimulate, and that such stimulus would succeed in lifting Chinese growth, corporate profits, commodities prices and EM risk assets. That was a non-consensus trade at the time, and the exact opposite of my current view. Following the credit boom in EM/China in 2009-10, excesses and imbalances emerged, and I shifted to a negative stance on EM/China in 2010 (Chart I-1 on page 1). Furthermore, in our June 8, 2010 Special Report titled, 'How to Play EM This Decade,' I made a call on a major top and forthcoming bear market in commodities arguing that the 2010-decade leaders in terms of growth and share price performance would be the healthcare and technology sectors. I speculated that during the current decade mania will unfold either in the technology or heath care sectors or some combination of both. Since 2010, the technology and healthcare equity sectors have been the best equity sectors, while commodities have been the worst performing ones within both the global and EM equity space. Consistent with this theme, I have been overweighing EM technology stocks and bourses where tech has a large weight, such as Taiwan, China and Korea. Besides, since 2010 I have maintained a pair strategy recommendation of being long tech and short materials. Ms. Mea: It seems you have been changing the goalposts lately, using new data on Chinese money and credit instead of relying on traditional ones. Our research is an ongoing effort to understand the macro landscape better. Our objective is always to find new variables and indicators that better lead business cycles and corporate profits while continuing to track the existing ones. Thus, it is not about changing goalposts but refining existing indicators or examining alternative ones that have a better track record. The following aspects have led usintroduce new broad money measures in China: Over the past two years, official M2 has been much weaker than various credit and money measures, as illustrated in the top panel of Chart I-8 on page 8. Broad money, and hence new purchasing power, is created when banks originate credit - by lending to or buying claims on non-bank entities. Therefore, properly measuring broad money is vital to assessing the new purchasing power that is created in the economy. In brief, in 2016 and early this year I relied on China's official broad money M2 measure, but it has underestimated the amount of new purchasing power created in the past two years. This was one of the reasons we misjudged the duration and magnitude of this equity rally. In addition, the regulatory clampdown on banks and non-banks may have prompted them to shift credit assets from off balance sheet to on balance sheet, or vice versa. Banks and shadow bank entities can obscure or hide credit by classifying it differently, but the banking system cannot conceal the amount of money in the system. Therefore, by tracing broad money creation, one can trail new purchasing power originated by banks. For these reasons, we have begun calculating new broad money aggregates for China - we produced our measure of M3 (M2 plus some other banks liabilities that are not included in M2) and credit-money (broad money calculated using the asset side of commercial banks' balance sheets). Chart I-3 on page 3 illustrates that all measures of money and credit have slowed in late 2016 and this year. On balance, having examined various measures of money and credit, including official M2, we have concluded that in the past 12 months money/credit creation has been slowing in China, irrespective of which aggregate we focus on (please refer to Chart I-3 on page 3). Ms. Mea: How do you explain strong September money and credit numbers out of China? Money, credit and business activity data for September were indeed strong, but they should be adjusted for working days. In China, the annual Mid-Autumn Festival fell in October this year versus September over the past several years. During this festival, business activity grinds to a halt for several days. I conjecture that money, credit and growth data out of China and Asia in general was strong in September partially due to the increase in the number of business days in September this year versus September a year ago. We need to wait for October data and average the two months to get a better picture of the trajectory of the business cycle in Asia. Chart I-12China: Velocity Of Money Has Been Declining China: Velocity Of Money Has Been Declining China: Velocity Of Money Has Been Declining Ms. Mea: Your view on China, commodities and EM is largely contingent on very weak money growth. Is it possible that the correlation between money and economic growth has diminished or completely broken down in China? The only reason why broad money growth could deviate from nominal GDP growth is due to the rising velocity of money. Let's remind ourselves: Nominal GDP = Money Supply x Velocity of Money. For nominal GDP growth to rise, a considerable decelaration in money supply growth needs to be offset by an even larger acceleration in the velocity of money. It is extremely difficult to forecast velocity of money. I assume money velocity will be steady (constant) and, consequently, nominal GDP growth to be affected primarily by changes in broad money growth. Chart I-12 demonstrates that the velocity of money in China has been declining over the past eight years. So, it would be odd for the velocity of money to suddenly rise going forward, in turn making money growth a less reliable indicator for nominal GDP growth. Overall, while it is always possible that the correlation between money growth and economic activity can break down, it is not something that one can forecast or bet on with high conviction. Chart I-13EM Ex-China, Korea And Taiwan: ##br##Broad Money And Bank Loan Growth Is Weak EM Ex-China, Korea And Taiwan: Broad Money And Bank Loan Growth Is Weak EM Ex-China, Korea And Taiwan: Broad Money And Bank Loan Growth Is Weak Ms. Mea: What about other emerging markets? How dependent are they on China? Where are they in the business cycle? The link from China to other emerging markets is via commodities and EM countries' other exports to the mainland. Even non-commodity countries like Korea and Taiwan sell a lot to China. If Chinese growth decelerates, commodities prices relapse, the U.S. dollar rallies or the RMB comes under selling pressure, the outlook for other EM countries and their risk assets will be dim. I argued that EM currencies, credit, and stocks on aggregate levels are not cheap.7 Segments that appear attractively valued are cheap for a reason, while healthy segments (countries/sectors/companies) are rather expensive. Money and bank loan growth also remain lackluster in the majority of EM, excluding China, Korea and Taiwan (Chart I-13). The reason is that the banking systems in many of these developing countries have not been restructured and remain sick following years of overextended credit and rising non-performing loans. Therefore, even though EM exports to China and the rest of the world have picked up, there has been little recovery in their domestic demand. If external conditions - exports, exchange rates and borrowing costs - deteriorate anew, EM domestic demand recovery will be derailed. Investors often refer to Russia and Brazil when they cite macro adjustments in developing economies. It is true that Russia and Brazil have already gone through a lot of pain and adjustment, including provisioning for NPLs in their respective banking systems. Nevertheless, financial markets in both countries remain dependent on commodities prices and the U.S. dollar outlook. Barring external shocks, both economies will continue to revive. That said, my big-picture view entails a negative shock to EM sentiment due to China and a rally in the greenback so I cannot turn bullish on them yet. In addition, Brazil's public debt is rising in an unsustailable manner, and political risks remain significant, particularly ahead of next year's elections. It will be hard to boost nominal growth and contain the explosion of public debt without meaningful currency depreciation that reflates the economy. That cannot not bode well for foreign investors in Brazilian markets. Credit excesses continue to linger in some other EM economies, and there has been little adjustments in their leverage even when we remove China, Korea and Taiwan from the aggregate (Chart I-14). All in all, while some EM economies have undergone necessary macro adjustments, the largest economy - China - has not. When China begins its own macro adjustments, shockwaves will likely hit Asian economies and commodities producers. There are not many large developing countries outside Asia that are not raw materials exporters. Ms. Mea: What about the technology sector? It alone has been responsible for a substantial portion of price gains in the EM equity benchmark in this rally. Does your view on China's credit cycle also influence your outlook for technology stocks? Indeed, EM tech stocks have exploded in recent years, accounting for a significant portion of EM share price appreciation. Excluding tech stocks, EM equities have not rallied nearly as much (Chart I-15). Chart I-14EM Ex-China, Korea And Taiwan: ##br##Leverage Has Not Diminished EM Ex-China, Korea And Taiwan: Leverage Has Not Diminished EM Ex-China, Korea And Taiwan: Leverage Has Not Diminished Chart I-15EM Equities: Tech Versus Non-Tech EM Equities: Tech Versus Non-Tech EM Equities: Tech Versus Non-Tech Also, Table I-1 reveals that eight out of 11 equity sectors have underperformed the benchmark. Meanwhile, a large share of tech gains has been produced by five or so companies. Table I-1EM Sectors: Only Three Out Of 11 Sectors ##br##Outperformed The Benchmark Ms. Mea Challenges The EMS View Ms. Mea Challenges The EMS View I have no strong view on the technology sector's absolute performance following the exponential price gains of past years. Overweighting the technology sector has been my recommendation since 2010, as we discussed above, and it has panned out quite well. I still maintain this overweight call, but within the technology sector we prefer semis to internet and social-media stocks. On the second part of your question, my negative view on China's credit cycle does not have direct ramifications for technology stocks, including Chinese ones. Critically, the call on internet- and social media-related companies is a bottom-up call. On the macro level, I can only state the following: It is essential to realize that in the past nine years a lot of new purchasing power in China has been created because of explosive money origination by banks. If money/credit growth structurally downshifts in China in the years ahead, nominal income growth for both households and companies will slow and the growth in their spending power will also moderate. That said, I am not in a position to assess and comment on business model viability and equity valuation levels of internet and social media-related companies like Alibaba, Tencent or Baidu. As to the other two tech heavyweights - Samsung Electronics and TSMC - I continue to recommend an overweight position in semis and other tech stocks that stand to benefit from DM growth. However, I am less certain about their absolute performance given their exponential rally. Chart I-16EMS's Fully-Invested Equity Portfolio ##br##Performance Versus The Benchmark EMS's Fully-Invested Equity Portfolio Performance Versus The Benchmark EMS's Fully-Invested Equity Portfolio Performance Versus The Benchmark Finally, regardless of my view on EM absolute performance, we always add value to dedicated EM equity and fixed-income investors by selecting countries to overweight and underweight relative to their respective benchmarks. Our country equity allocation strategy has been very successful. Chart I-16 illustrates our country fully-invested equity portfolio performance versus the EM benchmark. The portfolio is built based on our overweight and underweight recommendations on individual bourses, and is assumed to be fully invested. Our country calls have done quite well in the past nine years, producing 58% outperformance versus the benchmark with extremely low volatility. This translates into 520 basis points of annual compound outperformance for nine years. Our recommended country allocation and other equity positions as well as fixed income and currency recommendations are published at the end of each week's report. Arthur Budaghyan, Senior Vice President Emerging Markets Strategy arthurb@bcaresearch.com 1 Please see Emerging Markets Strategy Special Report titled "Revisiting China's Fiscal And Credit Impulses," dated April 13, 2016, link available at ems.bcaresearch.com 2 Please refer to the Emerging Markets Strategy Special Reports from October 26, 2016, November 23, 2016 and January 18, 2017; available on ems.bcaresearch.com 3 Please refer to the Emerging Markets Strategy Weekly Report titled, " China: Deflation Or Inflation?," dated October 4, 2017; link available on page 21. 4 Please refer to the International Bank Credit Analyst Special Report titled, "Commodities: Buy On Dips," dated April 2005. 5 Please refer to the Emerging Markets Strategy Special Report titled, "Global Monetary Tightening And Emerging Markets: Is It Different This Time?"dated April 19, 2006. 6 Please refer to the Emerging Markets Strategy Special Report titled, "Upgrade/Accumulate Chinese Stocks,"dated September 29, 2008. 7 Please see Emerging Markets Strategy Weekly Report titled "Is The Dollar Expensive, And Are EM Currencies Cheap?" dated October 11, 2017, link available at ems.bcaresearch.com Equity Recommendations Fixed-Income, Credit And Currency Recommendations

Highlights China's growth momentum is unlikely to continue to accelerate, but the downside risk is low. Some more recent developments suggest economic momentum remains fairly robust. The heated debate on a "soft or hard landing" in recent years has disproportionally diverted investors' attention to China's cyclical growth fluctuations, while some larger picture changes have gone unnoticed. The Chinese economy will undoubtedly continue to experience cyclical swings; it is equally important to keep in mind some mega trends that hold the potential to reshape the world in profound ways. Feature The Chinese economy has likely ended the third quarter on a slightly higher note, according to "nowcast" types of models using high-frequency data (Chart 1). The latest PMI surveys, focusing on both the manufacturing and service sectors, accelerated in September from the prior month, and remain comfortably in expansionary territory, heralding positive surprises in the macro numbers to be released in the coming weeks. China's mini-cycle acceleration since early last year has been fairly modest by historical standards, but it has been a key component driving synchronized improvement in global growth. Moreover, the resilience of the Chinese economy has led to a quick repricing of risk assets that were deeply depressed in previous years due to China "hard landing" concerns. Stock prices of both Chinese investable equities and the emerging market benchmark have rallied massively since the 2016 bottom. Total returns of Chinese equities and EM stocks, price appreciation and dividend payments combined, have both broken out to all-time highs (Chart 2). Chart 1Chinese Q3 GDP Should Have Remained Strong Chinese Q3 GDP Should Have Remained Strong Chinese Q3 GDP Should Have Remained Strong Chart 2Breakout In China And EM Equities Breakout In China And EM Equities Breakout In China And EM Equities Looking forward, Chinese growth momentum is unlikely to continue to accelerate, but the downside risk remains low in the near term, as we have argued in recent months. In fact, some more recent developments suggest economic momentum remains fairly robust. More importantly, the heated debates among investors and analysts in recent years on China's macro stability have disguised some dramatic changes in the Chinese economy, which will have a profound and long-lasting impact on the global economy and financial markets from a big-picture standpoint. Given China's rising economic significance, getting China right will become all the more important for investors going forward. Near-Term Growth Outlook Remains Solid The Chinese economy will likely continue to surprise to the upside in the coming months. First, there is little risk of aggressive policy tightening that would prematurely choke off the economy, as economic growth is within the government's target, consumer price inflation is exceedingly low and financial excesses have been reined in.1 The latest decision of the People's Bank of China (PBoC) to lower reserve requirement ratios (RRR) for banks offering loans to small-sized enterprises should not be confused as a broad attempt to boost credit and growth. The move certainly reflects the authorities' preference for offering credit to smaller private borrowers, but it also reflects the PBoC's continued fine-tuning of its liquidity management.2 The PBoC has significantly ramped up direct lending to banks since 2015 to offset the liquidity drainage from capital outflows from the country's financial sector - the pace of PBoC direct lending has slowed since early this year (Chart 3, top panel). This means that the central bank will need to resort to other tools to manage interbank liquidity should stress increase - releasing required reserves being one of them. Taken together, the PBoC's liquidity injection has almost precisely matched the liquidity withdrawal due to capital outflows, as can be seen in the bottom panel of Chart 3. The key point here is that the PBoC's latest decision is not to encourage a lending spree, but it certainly does not indicate intentions of aggressive tightening. Second, some view China's lukewarm industrial activity as a sign of weak growth momentum, and argue for a pending relapse. In fact, some sectors have been under strict government scrutiny to cut capacity and production in recent years - a key reason behind the exceptional weakness in these industries despite massive improvement in their sales, pricing power and profits. In other words, these sectors have not been responding to market signals due to government restrictions of "supply side reforms" to cut excess capacity and reduce pollution. For example, some sectors that are subject to "supply side" constraints such as coal, base metals and cement producers have chronically underperformed in recent years, and have also hurt the overall performance of the industrial sector (Chart 4). Similarly, capital spending in the mining sector, historically highly sensitive to moves in global metals prices, have continued to contract, despite the sharp increase in metals prices since 2016. Without these regulations, the performance of the industrial sector should have been a lot stronger. In addition, without aggressive expansion in the "good times," the odds of another major relapse in these highly cyclical industries when the "bad times" do come are also lower. Chart 3The PBoC Liquidity Operation The PBoC Liquidity Operation The PBoC Liquidity Operation Chart 4Policy Constraints Weigh Heavy On Some Sectors Policy Constraints Weigh Heavy On Some Sectors Policy Constraints Weigh Heavy On Some Sectors Third, the Chinese authorities' tightening measures on the real estate sector pose a growth risk, and should continue to be monitored; the impact is unlikely to be significant, as discussed in detail in last week's report.3 Developers have also been subject to "supply side" constraints and have not increased construction in this cycle, despite rising home prices, increasing transactions and booming profits (Chart 5). Tighter policies imposed by local governments will probably keep developers in dormancy, but a major downturn is highly unlikely, simply because there is not much excess to begin with. Finally, while China has been a key component of the synchronized global growth improvement, the country has also benefited from a pickup in global demand.4 Korean exports, a harbinger of global trade, jumped by a whopping 35% in dollar terms in September versus a year ago. It is certainly unrealistic to expect such strong momentum to last, but the benign global demand situation is unlikely to immediately falter without some sort of extreme external shock. Similarly, our model expects Chinese export growth to moderate, but there are no signs of a sharp contraction anytime soon (Chart 6). Chart 5Real Estate Investment May Surprise To The Upside Real Estate Investment May Surprise To The Upside Real Estate Investment May Surprise To The Upside Chart 6Exports: Moderating, Not Relapsing Exports: Moderating, Not Relapsing Exports: Moderating, Not Relapsing Bottom Line: China's near-term growth outlook will remain resilient, providing a supportive macro backdrop for global risk assets. The China Debate: Seven Years On Ever since the Chinese economy recovered from the aftermath of the global financial crisis, with the help of a massive government stimulus package, investors' opinions on China's macro situation have been deeply divided.5 To be sure, sensational predictions of an imminent China collapse have always existed, ever since the country's economic reform, but they were mostly rooted in ideological bashing and were largely ignored by global investors. In recent years, however, predictions of a Chinese "hard landing" have been taken much more seriously by the mainstream media, as well as investors and policymakers. Amid mounting doubts about its long term sustainability, the Chinese economy has experienced some remarkable achievements and dramatic changes in the past several years. The Chinese economy continues to gain global significance, accounting for 16% of global economic output currently versus 9% in 2010. More importantly, its contribution to global economic growth is far larger, given its faster growth rate (Chart 7). China's nominal GDP currently stands at about US$11.5 trillion, a distant second to the mighty US$19.2 trillion U.S. economy. However, 7% of nominal growth in China feasibly amounts to an increase of US$800 billion in gross output, compared with US$770 billion for the U.S., assuming the latter is to grow by 4% in nominal terms. Although China's growth rate has downshifted since the global financial crisis, the increase in the country's total output in value terms has become even greater, given the economy's much larger size. China remains the dominant factor in driving global commodities demand, especially base metals. China's base metals consumption accounts for over 50% of the global total, higher than the rest of the world combined (Chart 8). More importantly, China's base metal consumption has continued to climb in recent years, while demand from the rest of the world has stagnated. In recent years, "sluggish" Chinese metals consumption has been blamed for commodities woes by some analysts; in reality, the country has been the only source of demand increase for base metals. China's role in driving the supply/demand balance of raw materials has increased significantly since the global financial crisis. Chart 7China's Growing Significance In World Economy China's Growing Significance In World Economy China's Growing Significance In World Economy Chart 8China And Base Metals China And Base Metals China And Base Metals The country's heavy investment on infrastructure has massively changed its urban landscape, leading to a significant improvement in the country's transportation system, with massive expansion in high-speed railway, urban metro and light-rail system, and further extensions of the highway network (Chart 9). This has significantly narrowed the country's infrastructure gap with more advanced countries, facilitating both international trade and domestic demand (Chart 10). Chinese car sales have jumped from about 10 million per year in 2010 to 25 million currently, by far the largest car market in the world. Without improvement in logistical infrastructure, there is little doubt the country's growth trajectory would have faced severe bottlenecks. Chart 9Massive Expansion Of ##br##Transportation Infrastructure... Massive Expansion Of Transportation Infrastructure... Massive Expansion Of Transportation Infrastructure... Chart 10...Has Narrowed The Gap ##br##With Developed Economies On A Higher Note On A Higher Note Finally, the impact of Chinese consumers has become all the more visible on the global stage. Even though China still ranks as a middle-income country with a per-capita GDP of about US$8000, a fraction of the US$57,000 in the U.S., the sheer size of the Chinese population, the rapid increase in household income and the country's very high savings rate have fundamentally shifted the wealth distribution of the global population. Currently, only about 20% of the world population has a per-capita GDP higher than China, a rapid change within a short period of time (Chart 11). This dramatic shift has profoundly redefined the global economic landscape, affecting the spectrum of essentially all businesses, from manufacturers' cost structures to luxury goods markets to tourism and education to financial services. Chart 11China's Rising Income In Perspective On A Higher Note On A Higher Note The list can easily be extended, but the point here is that the heated debate on a "soft or hard landing" in recent years has disproportionally diverted investors' attention to China's cyclical growth fluctuations, while some larger picture changes have gone unnoticed. Of course, financial markets are an emotional discounting mechanism, and stock prices always exaggerate any subtle changes in growth fundamentals, which can in turn impact economic reality through a complex web of reflexivity relationships. Chinese equities lagged significantly behind developed markets, particularly the U.S. bourses, between 2011 and 2015, which apparently validated the bears' views. In reality, however, multiples of Chinese equities, and emerging market in general, were deeply compressed compared with their developed market peers (Chart 12). In other words, it is largely multiples compression associated with heightened risk aversion and greater risk premium that was behind the woes of Chinese and EM markets before 2015. Since 2016, China's mini-cycle upturn has progressively raised investors' risk appetite towards China and EM, lifting their multiples and prices - essentially a positive re-rating of these markets. Chart 12Positive Rerating Of China ##br##And EM Has Further To Run Positive Rerating Of China And EM Has Further To Run Positive Rerating Of China And EM Has Further To Run The debate on China's growth sustainability will likely remain firmly in place in the coming years, which will continue to create cross-currents and outsized volatility. As an investor, it is futile to argue with "Mr. Market." Even with strong convictions on the fundamental case, investors should be nimble and avoid standing in front of an oncoming train - however ill-informed the market consensus could be. For now, Chinese and EM equities are still much more attractively valued compared with the developed world, and the train of the positive re-rating of these bourses will likely have further to run. It is too soon to bet on a trend reversal. Whither China: The Big Picture Fundamentally the China debate boils down to the country's growth model, which invests a much greater share of its output than most other major economies. The "bears" conclude this amounts to capital misallocation and propose a "rebalancing" towards consumption. Some even claim China's massive savings, essential for financing domestic capital spending, are byproducts of banks' "out of thin air" money printing - to me, if "thin air" money was indeed such a magical silver bullet, the world would have solved its poverty problems a long time ago. Over the years I have argued firmly against these assertions. In economics, it is well known that a country's income level is fundamentally determined by its productivity, which is in turn determined by the level and sophistication of its capital stock. Chart 13 shows a clear positive correlation between a country's per capita output, a measure of productivity, and its per capita capital stock. In general, industrialized countries enjoy much higher levels of per capita capital stock than developing economies, leading to much higher productivity, income as well as living standards. Therefore, the industrialization process, by definition, is the process of accumulation of capital stock through investment, which has been proven by many economies that have successfully industrialized. China's growth path in the past several decades is simply repeating these success stories. As shown in Chart 14, despite some remarkable achievements, the productivity level of the average Chinese worker is still just a fraction of the level in more advanced countries. If China remains on the path of accumulation of capital stock through savings and investment, the country will continue to progress on the productivity and income ladder. If, however, it abandons its current growth model and "rebalances" towards a consumption-driven one, odds are much higher that the country will stagnate and fail to advance beyond the "middle income trap." Chart 13Productivity Is Positively ##br##Correlated With Capital Stock On A Higher Note On A Higher Note Chart 14China's Catchup Process ##br##Has A Lot Further To Run On A Higher Note On A Higher Note In my 15 years of covering China for BCA, the country has dramatically shifted beyond recognition - the pace of changes are still accelerating. Looking forward, the Chinese economy will undoubtedly continue to experience cyclical swings; it is equally important to keep in mind some mega trends that hold the potential to reshape the world in profound ways. The following are a few worth highlighting. Chart 15China's Tech Boom China's Tech Boom China's Tech Boom The first mega trend is the explosive growth of the Chinese technology sector, which will increasingly challenge players in more advanced economies. The tech boom is reflected in the dramatic expansion of e-commerce and mobile payments, spectacular price gains in the BAT giants (Baidu, Alibaba and Tencent) and surging patent applications among the corporate sector (Chart 15). With a massive and homogenous domestic market and increasingly affluent consumers, China has rapidly become the testing ground of all new high-tech sectors - from big data and artificial intelligence to industrial robotics and additive manufacturing, to genetic analysis and quantum computing - with numerous startups and venture capitalists as well as government support on basic research and development. This is bound to create exciting investment opportunities with winners and losers far beyond Chinese borders. The second major development is the "Belt & Road Initiative" (BRI), also known as "One Belt One Road," or OBOR, that links China with some less developed nations. The project, initially proposed by President Xi Jinping in 2013 but met with heavy doubts, has been quietly gaining momentum. Some commentators have viewed the BRI as an attempt by the Chinese authorities to export excess domestic industrial capacity and have tried to quantify the impact, which is shortsighted and likely useless. China's vision of the BRI is an ambitious open-ended geo-strategic, economic and social undertaking to promote globalization with distinct "Chinese characteristics." There is no doubt that BRI will face tremendous challenges, and its ultimate destiny is simply an "unknowable unknown" at the moment. However, some solid progress has been made, and foreign authorities are increasingly taking the BRI seriously. Even with limited success, the BRI holds the promise of redefining the balance of geopolitics, global trade and international finance. The role of the RMB in international finance will inevitably grow at the expense of other majors, particularly the dollar. Investors will be well served to closely follow this mega development. Finally, how China's governance and political system will evolve remains a major question mark for investors, especially from a long-term perspective. Democracy has increasingly become the norm of world politics since the early 1990s, with over half of the global population currently living in democratic regimes, while China's political system is decisively foreign (Chart 16). Investors are ideologically skeptical on the long-term sustainability of China's essentially meritocratic authoritarian regime. Investors mostly see democracy as China's ultimate future, and expect the country to progressively move in this direction, along with rising economic prosperity. In reality, however, the ruling Communist Party has tightened its grip over the country in recent years, apparently reverting the trend of political liberalization that was underway in previous years. Chart 16Is Democracy China's Future? On A Higher Note On A Higher Note In essence, China, with over 20% of the world population, is conducting a mega-political experiment by searching for an alternative to open democracy, the prospect of which remains unknown. The majority of the Chinese population have been content with the existing system, and have been adapting to drastic social and economic changes with ease in the past several decades. Numerous previous predictions of an imminent collapse of the Chinese regime have repeatedly proven wrong, but the underlying anxiety will remain, especially when China's economic growth further downshifts. Political and social stability is crucial for the country's continued economic development. A major social upheaval, on the other hand, would have devastating consequences, not only for China but also for the entire world. Stay tuned. Yan Wang, Senior Vice President China Investment Strategy yanw@bcaresearch.com 1 Please see China Investment Strategy Weekly Report "Chinese Financial Tightening: Passing The Phase Of Maximum Strength," dated June 22, 2017, available at cis.bcaresearch.com 2 Please see China Investment Strategy Special Report "More On The Chinese Debt Debate," dated April 20, 2017, available at cis.bcaresearch.com 3 Please see China Investment Strategy Weekly Report "Chinese Real Estate: Which Way Will The Wind Blow?" dated April 20, 2017, available at cis.bcaresearch.com 4 Please see China Investment Strategy Weekly Report "China Outlook: A Mid-Year Revisit," dated July 13, 2017, available at cis.bcaresearch.com 5 Please see China Investment Strategy Weekly Report "The China Debate," dated April 14, 2010, and China Investment Strategy Weekly Report "The China Debate: Four Years On," dated April 30, 2014, available at cis.bcaresearch.com Cyclical Investment Stance Equity Sector Recommendations

Neutral Software stock relative performance has returned to its long-term uptrend, but remains far from the two standard deviations above the mean peak reached during the tech bubble (top panel). The structural pull from the proliferation of cloud computing and software-as-a-service has served as a catalyst to raise the profile of this more defensive and mature tech subsector. Beyond this constructive backdrop, cyclical forces are also painting a brighter picture for software equities. Importantly, there is tentative evidence that a fresh capex upcycle has commenced, and if software commands a larger slice of the overall spending pie, industry profits should enjoy a healthy rebound (middle panel). Supply reduction presents a bullish backdrop for software selling prices that have exited deflation at a time when overall corporate sector inflation is decelerating. The upshot is that revenue growth will likely reaccelerate (bottom panel). Adding it up, enticing structural software forces aside, a cyclical capex recovery is a boon for software outlays and, coupled with reviving animal spirits, signal that it no longer pays to underweight this tech sub-sector. Bottom Line: The S&P software index does not deserve an underweight. Lift exposure to a benchmark allocation, and refer to yesterday's Weekly Report for additional details. The ticker symbols for the stocks in this index are: BLBG: S5SOFT - MSFT, ORCL, ADBE, CRM, ATVI, EA, INTU, ADSK, SYMC, RHT, SNPS, CTXS, ANSS, CA. Software: A Capex Upcycle Winner? Software: A Capex Upcycle Winner?

Highlights Portfolio Strategy The S&P hotels, resorts and cruise lines index will suffer from a profit margin squeeze, which should weigh on valuations. Cut exposure to underweight. A cyclical capex recovery is a boon for software outlays and coupled with reviving animal spirits, signal that it no longer pays to underweight the S&P software index. Augment positions to a benchmark allocation. Recent Changes Downgrade the defensive/cyclical portfolio bias to neutral. Downgrade the S&P hotels, resorts and cruise lines index to underweight today. Lift the S&P software index to neutral. Table 1 Dollar The Great Reflator Dollar The Great Reflator Feature Chart 1Weak Dollar Positive Contributor##br## To EPS Growth Weak Dollar Positive Contributor To EPS Growth Weak Dollar Positive Contributor To EPS Growth Equities broke out in a bullish fashion last week, as geopolitical fears subsided and the backlash from hurricane Irma was less severe than initially feared. Beneath the surface, non-inflationary synchronized global growth remains the dominant macro theme. While the latest U.S. CPI print was better than anticipated the Fed would have to see a couple more perky inflation reports before an uptrend is established, cementing the December hike. Until then, the path of least resistance is higher for equities. In our last Weekly Report, we noted that our four-factor S&P 500 operating EPS model has recently accelerated.1 This week, Chart 1 isolates the U.S. dollar as the sole regression variable on SPX earnings and the fitted value suggests that profits will likely surprise to the upside in the back half of the year despite difficult comparisons. Importantly, as we posited earlier this summer, irrespective of where the trade-weighted U.S. dollar ends the year, delayed FX translation effects will act as a tonic for S&P 500 profits. Since late-December's peak, the broad trade-weighted dollar has deflated by 9%. Regression analysis shows that a 1% fall in the U.S. dollar boosts operating EPS by 0.98%, with our dataset going back to the early 1970s. If, however, we narrow the interval of estimation starting in 1994 when NAFTA come into effect then the greenback's sensitivity on SPX EPS increases to 1.6%. While every cycle is different, a fresh all-time high in quarterly EPS - driven by a weak dollar - would not surprise us in Q3 and Q4. At some point, the deflating currency should show up in selling price inflation, again as a lagged effect (middle panel, Chart 2). This is encouraging for our firming operating leverage thesis, as a modest inflationary backdrop would reinforce top line growth (bottom panel, Chart 2). The implication of a sustainable revenue growth outlook is a profit margin-led flow through to EPS, especially for high fixed cost businesses. Already, sell side analysts' overall S&P 500 net earnings revisions are benefitting from the U.S. dollar's decline, and so is sector EPS breadth (trade-weighted dollar shown inverted, Chart 3). Chart 2Will The Dollar's Fall Show Up In Inflation? Will The Dollar’s Fall Show Up In Inflation? Will The Dollar’s Fall Show Up In Inflation? Chart 3EPS Breadth Improvement EPS Breadth Improvement EPS Breadth Improvement Moreover, U.S. dollar-based liquidity (defined as the sum of the Fed's balance sheet and foreign central bank U.S. Treasury holdings) has finally arrested its fall and has recently ticked higher above the zero line. This even mild increase in U.S. dollar-based liquidity represents a de facto easing in global monetary conditions, and historically has been synonymous with S&P 500 EPS acceleration (Chart 4). The upshot is that profits are on a solid upward trajectory. Chart 4Dollar Based Liquidity Also On The Rise Dollar Based Liquidity Also On The Rise Dollar Based Liquidity Also On The Rise The equity market's sensitivity to the greenback has been increasing as the percentage of foreign sourced earnings has been rising over the decades. Globally-exposed goods-producers are in the driver's seat. This raises the question: what to do with our long held preference for defensives versus cyclicals? We are taking our cue from the U.S. dollar-induced shifting macro backdrop, and locking in gains of 11% since the mid-2014 inception in our defensive over cyclical sector tilt, and moving to the sidelines. As a reminder, since the beginning of the spring we have been tweaking our portfolio adding cyclical exposure and, at the margin, removing defensive protection.2 Thus, a defensive over cyclical sector preference is no longer in place. Synchronized global growth, reviving emerging markets, a stable China, and a deflating U.S. dollar are all giving us confidence that it no longer pays to play defense (Chart 5). Finally, following a sling shot recovery, relative valuations are on a more even keel, as is our relative Technical Indicator which is hovering in the neutral zone (Chart 6). Chart 5Book Gains And Move##br## To Neutral Book Gains And Move To Neutral Book Gains And Move To Neutral Chart 6Valuations And Technicals##br## In The Neutral Zone Valuations And Technicals In The Neutral Zone Valuations And Technicals In The Neutral Zone This week we are making an early cyclical downshift and deep cyclical upshift to our portfolio. Hotels Update: Check Out Time This year has been a good one to be overweight the S&P hotels, resorts and cruise lines index which has outperformed the S&P 500 by a wide margin. However, earnings expectations have moved broadly in line with the market in 2017, meaning that the index's outperformance has been entirely valuation multiple driven. Normalizing earnings to smooth out profit volatility reveals a more severe picture with valuation multiples at decade highs, above the historical mean and at a 40% premium to the broad market (Chart 7). The index's strength has been most pronounced since the beginning of the summer and, unsurprisingly given the cyclical rotation into highly discretionary stocks, has been exclusive to the cruise line operator segment of the index. The two relevant stocks (RCL and CCL) now represent nearly half of the S&P hotels, resorts and cruise lines index's market capitalization. Cruise line operators' margins have climbed to 10-year highs (top panel, Chart 8), justifying soaring stock prices. Profit gains have come on the back of healthy unit revenue as unit costs have remained mostly unchanged (third panel, Chart 8). Chart 7Very Expensive Beneath The Surface Very Expensive Beneath The Surface Very Expensive Beneath The Surface Chart 8Cruise Lines Leading The Pack Cruise Lines Leading The Pack Cruise Lines Leading The Pack Cruise line occupancy rates corroborate this firm demand backdrop. They have risen in line with margin gains (second panel, Chart 8), a result of improving passenger growth and constrained capacity (bottom panel, Chart 8). This has been the industry's largest margin lever, i.e.: incremental passengers per room come with much higher incremental margin. As cruise lines cannot increase their occupancy ad infinitum (occupancy rates above 100% already imply more than two occupants of a double-occupancy berth), further margin gains of this magnitude seem doubtful. In fact, if cruise operators are to continue growing profits, a capacity growth cycle will eventually have to begin anew, meaning margin contraction rather than expansion. Thus, extrapolating profit growth far into the future is fraught with danger, warning that sky-high valuation multiples are vulnerable to even a modest de-rating. The outlook is even less bright for hotels, an industry that has been losing its share of the consumer's wallet for some time (Chart 9, second panel). Specifically, the low/non-corporate end of the market seems increasingly exposed to competition from Airbnb and other room share competitors; cutthroat competition is pricing power negative with industry selling prices sinking into outright deflation (Chart 9, third panel). Hoteliers are trying to compensate for low prices with huge capacity additions, adding a sense of permanence to recent pricing power declines. However, just as pricing has fallen, the accommodation related employment cost index has gone vertical (bottom panel, Chart 9). The implication of soft pricing power and a rising wage bill is a profit letdown. Our newly introduced S&P hotels, resorts and cruise lines EPS model (comprising the U.S. dollar, employment, PCE and confidence measures) does an excellent job encompassing all these moving parts and confirms our bearish industry profit stance. In fact, it is pointing to significant relative declines vis-à-vis the S&P 500 (Chart 10). Chart 9Mind The Deflationary Impulse Mind The Deflationary Impulse Mind The Deflationary Impulse Chart 10EPS Model Says Rush For The Exits EPS Model Says Rush For The Exits EPS Model Says Rush For The Exits Putting it together, shrinking margins and increased capital deployment mean lower return on capital and hence lower valuation multiples. This implies that the index's relative gains are in the past. Bottom Line: Take some chips off the table and reduce exposure to underweight in the S&P hotels, resorts and cruise lines index. The ticker symbols for the stocks in this index are: BLBG: S5HOTL - MAR, CCL, RCL, HLT, WYN. Software: A Capex Upcycle Winner? Software stock relative performance has returned to its long-term uptrend, but remains far from the two standard deviations above-the-mean peak reached during the tech bubble (top panel, Chart 11). The structural pull from the proliferation of cloud computing and software-as-a-service has served as a catalyst to raise the profile of this more defensive and mature tech sub-sector. Traditional hardware tech sectors, like communications equipment, are also suffering from the "virtualization" threat as software is making inroads into hardware and blurring the lines between the two. Beyond this constructive backdrop, cyclical forces are also painting a brighter picture for software equities. Importantly, there is tentative evidence that a fresh capex upcycle has commenced (see Chart 3 from last Monday's Weekly Report 3), and if software commands a larger slice of the overall spending pie, industry profits should enjoy a healthy rebound (second panel, Chart 11). Small business sector plans to expand have returned to a level last seen prior to the Great Recession, underscoring that software related outlays will likely follow them higher. Recovering bank loan growth is also corroborating this upbeat spending message: capital outlays on software are poised to accelerate based on rebounding bank loans. The latter signals that businesses are beginning to loosen their purse strings anew (third & fourth panels, Chart 11). Reviving animal spirits also suggest that demand for software upgrades will stay elevated. CEO confidence is pushing decade highs. Such ebullience is positive for a pickup in software investments (second panel, Chart 12). It has also rekindled software M&A activity, with the number of industry deals jumping in recent months (bottom panel, Chart 13). Chart 11Back To Trend Back To Trend Back To Trend Chart 12Capex Upcycle... Capex Upcycle… Capex Upcycle… Chart 13... And Reviving Animal Spirits Are Key Drivers … And Reviving Animal Spirits Are Key Drivers … And Reviving Animal Spirits Are Key Drivers Supply reduction presents a bullish backdrop for software selling prices that have exited deflation at a time when overall corporate sector inflation is decelerating. The upshot is that revenue growth will likely reaccelerate (middle panel, Chart 14). But before getting too carried away, there is some cause for concern. The S&P software index is priced to perfection fully reflecting most, if not all, of the positive drivers (bottom panel, Chart 14), warning that any sales/profit mishaps will likely knock relative performance over. Moreover, productivity dynamics are waving a yellow flag. Business sector productivity growth troughed in early 2017. Historically, this output per hour worked metric has been inversely correlated with software outlays (productivity shown inverted, third panel Chart 15). Importantly, even shown as a deviation from the long-term trend, productivity gains have troughed, suggesting that relative profit growth will likely remain muted (productivity shown inverted, bottom panel Chart 15). Keep in mind that, historically, software spending has been countercyclical (second panel, Chart 15) and given that we are not at the end of the line yet, relative outlays on software may not rebound to the same extent as our other aforementioned indicators suggest. Chart 14Impressive Pricing Power, ##br##But Fully Priced Impressive Pricing Power, But Fully Priced Impressive Pricing Power, But Fully Priced Chart 15Productivity Dynamics##br## Are A Sizable Offset Productivity Dynamics Are A Sizable Offset Productivity Dynamics Are A Sizable Offset Adding it up, enticing structural software forces aside, a cyclical capex recovery is a boon for software outlays and, coupled with reviving animal spirits, signal that it no longer pays to underweight this tech sub-sector. Bottom Line: The S&P software index does not deserve an underweight. Lift exposure to a benchmark allocation. The ticker symbols for the stocks in this index are: BLBG: S5SOFT - MSFT, ORCL, ADBE, CRM, ATVI, EA, INTU, ADSK, SYMC, RHT, SNPS, CTXS, ANSS, CA. Anastasios Avgeriou, Vice President U.S. Equity Strategy & Global Alpha Sector Strategy anastasios@bcaresearch.com 1 Please see Chart 5 of the U.S. Equity Strategy Report titled "Still Goldilocks", on September 11, 2017, available at uses.bcaresearch.com. 2 Please see the August 14, 2017 U.S. Equity Strategy Report titled "Three Risks" for a quick recap of most of our portfolio moves, available at uses.bcaresearch.com. 3 Please see the September 11, 2017 U.S. Equity Strategy Report titled "Still Goldilocks", available at uses.bcaresearch.com. Current Recommendations Current Trades Size And Style Views Favor small over large caps and stay neutral growth over value.

Highlights Bitcoin and other virtual currencies have sold off sharply in recent days. However, as the turn of the millennium dotcom boom and bust illustrates, wild swings in asset prices can sometimes mask important structural changes that new technologies have unleashed on the global economy. If the proliferation of virtual currencies continues, it will have real macroeconomic effects. Globally, the volume of currency in circulation - the largest component of base money - has grown by 5.5% year-over-year. However, the growth rate would be 7% if virtual currencies were included in the tally. The indirect increase in global liquidity coming from virtual currencies should provide a modest boost to spending. This is somewhat bearish for bonds but bullish for equities. The implications for gold and the dollar are mixed. Governments derive significant "seigniorage revenue" from their ability to issue fiat currency. This is likely to impede the widespread adoption of virtual currencies, ultimately capping their prices. Feature Bitcoin And Beyond The price of bitcoin has been extremely volatile lately, falling by more than 10% last week after the Chinese government announced a ban on so-called Initial Coin Offerings. The downdraft continued into this week, spurred on by JPMorgan CEO Jamie Dimon's description of bitcoin as a "fraud." The recent selloff followed a dizzying ascent which saw the price of the upstart currency surpass $5000 earlier this month (Chart 1). Despite the pullback, one thousand dollars of bitcoin purchased in July 2010 would still be worth $58 million today. Such mind-boggling returns have caught the public's attention. There were more Google searches for "bitcoin" in August and September than for "Donald Trump" (Chart 2). Public appetite is so high that the Bitcoin Investment Trust, though officially an open-ended vehicle, has traded as high as twice its net asset value in recent months. Chart 1Bitcoin Prices: It's Been A Wild Ride So Far Bitcoin Prices: It's Been A Wild Ride So Far Bitcoin Prices: It's Been A Wild Ride So Far Chart 2President Trump: Bitcoin Is More Popular Than You! President Trump: Bitcoin Is More Popular Than You! President Trump: Bitcoin Is More Popular Than You! Other virtual currencies have also seen staggering returns. Ethereum is still up more than 3000% year-to-date, giving it a market cap of $23 billion. Dogecoin, a currency that was started "as a joke" according to its founders, commands a market cap of $114 million. Wider Effects? The run-up in bitcoin prices bears a close resemblance to classic bubbles (Chart 3). Yet, as the turn of the millennium dotcom boom and bust illustrates, wild swings in asset prices can sometimes mask important structural changes that new technologies have unleashed on the global economy. This raises the question of whether the explosion in virtual currencies is relevant for the broader investment community, including those investors who would never consider buying bitcoin. We would answer yes, albeit in a limited form thus far. The market capitalization of all virtual currencies currently stands at $120 billion (Chart 4). Globally, there is about $6 trillion in currency outstanding, so the value of virtual currencies is now 2% that of traditional cash and currency. That's not huge, but it's no longer trivial either. Chart 3Bitcoin Bubble? Bitcoin Bubble? Bitcoin Bubble? Chart 4Virtual Currencies: Market Cap Is Now Non-Trivial Bitcoin's Macro Impact Bitcoin's Macro Impact The importance of virtual currencies increases if we look at rates of change. The global stock of currency in circulation has risen by 5.5% over the past 12 months. However, if we add virtual currencies to the mix, the rate of growth jumps to 7%. The contribution of virtual currencies to the rate of growth of the broad money supply - which includes such items as bank deposits - is still fairly small. However, economists focus on currency in circulation for a reason: It is the largest component of base money (also known as "high-powered" money). The stock of base money helps determine the total money supply through the magic of the money multiplier and fractional reserve banking. The Monetary Hot Potato For the time being, the macro impact of virtual currencies has been constrained by the fact that most people are buying them as a store of value, rather than as a medium of exchange. It is no coincidence that up until recently, a disproportionately large amount of demand for virtual currencies has come out of China, an economy that suffers from a plethora of savings and a dearth of safe investable assets (Chart 5). In addition to squirrelling away their wealth in overpriced condos, the Chinese are now snapping up bitcoins. Chart 5Bitcoin Trading Volume By Top Three Currencies Bitcoin's Macro Impact Bitcoin's Macro Impact Over time, the public may begin to regard virtual currencies as legitimate substitutes for dollars, euros, yen, and yuan. This could lead people to want to hold fewer of these traditional currencies, causing them in turn to either spend their excess cash holdings or deposit them in commercial banks. The first outcome would obviously be inflationary, but so would the second if rising deposit inflows caused banks to increase lending. What would happen if people began transacting more in virtual currencies? At that point, the Fed and other central banks would need to decide whether to take some traditional paper money out of circulation in order to make room for the growing share of private virtual currencies. The merits of doing so would depend on the state of the business cycle.1 When inflation is low, as it is today in most of the world, central banks would gladly welcome anything that boosts spending and liquidity. Indeed, in some ways, the issuance of private currencies could have similar effects to helicopter drops of money. However, if inflation were to accelerate too rapidly, central banks would have to begin withdrawing their own currencies from circulation, or push for the withdrawal of private currencies. Governments Want Their Cut Chart 6U.S. Seigniorage Revenue U.S. Seigniorage Revenue U.S. Seigniorage Revenue The former outcome would not please the fiscal authorities. When the U.S. Treasury issues a $100 bill, it gains the ability to buy $100 of goods and services with it. The government's cost is whatever it pays to print the bill, which is close to zero. This so-called "seigniorage revenue" is quite large, averaging close to $70 billion per year for the U.S. government alone over the past decade (Chart 6). Why would the U.S. or any other country that issues its own currency want to part with this revenue? The answer is that it wouldn't. Instead, governments are likely to introduce their own competitors to bitcoin. The blockchain technology on which bitcoin is built is ingenious but completely within the public domain. Central banks are already thinking about how to issue their own virtual currencies. The creation of such parallel electronic currencies would allow people to send funds to one another and purchase goods and services without the need for an intermediary, a potentially negative development for banks and other financial institutions. These government-sponsored virtual currencies are unlikely to offer the full anonymity of bitcoin, but for most people, that may not be such a bad thing. As our Technology Sector Strategy service has emphasized, private virtual currencies suffer from numerous deficiencies which expose their users to fraud.2 When thieves stole 6% of all outstanding bitcoins from the Mt. Gox exchange in 2014, the victims had nothing to fall back on. A government-sponsored virtual currency could at least offer some protection to its holders, thereby making it more valuable to use. It would also allow central banks to fulfill their responsibilities as lenders of last resort. The Free Banking Era in the U.S., which at one point saw 8000 different currencies in circulation, experienced multiple banking crises. A world with myriad private currencies all competing with one another would be similarly unstable. Bitcoin: A Solution In Search Of A Problem? Chart 7The Boom In Cryptocurrencies Bitcoin's Macro Impact Bitcoin's Macro Impact This gets to a more fundamental issue, which is that bitcoin often comes across as a solution in need of a problem. People can already transfer money fairly easily when it is legal to do so. If the main practical advantage of bitcoin is to overcome capital controls and empower tax cheats, junkies, and hackers, it is hard to see how this does not beget a government crackdown. Ironically, the "mining" of additional bitcoins requires significant investment in specialized computers and dollops of electricity. Virtual currencies may exist in bits and bytes, but real resources must be expended to create them. In contrast, governments can create money with simply the stroke of a pen. Granted, if governments used this power to devalue the value of money - as they have periodically done from time to time - the virtues of bitcoin as a store of value would become more evident. The algorithms that power bitcoin limit the total number of coins that can ever be created to 21 million. Bitcoin is not the only game in town, however. Dozens of competitors have sprung up (Chart 7). While each may cap the number of coins in circulation, collectively they represent a potentially significant (and possibly unlimited) addition to the monetary base. Thus, it is not clear how well virtual currencies would perform as inflation hedges compared to more traditional instruments such as gold and land, let alone modern hedges such as inflation-linked securities. Investment Conclusions The role that money plays in modern economies is one of those things that people tend to tie themselves into pretzels thinking about. It's actually not that complicated. For the most part, inflation occurs when the demand for goods and services outstrips the supply of goods and services. Outside of extreme situations, the choice of monetary regime does not affect the supply-side of the economy (that's determined by productivity and the size of the labor force, neither of which central banks have much control over). Thus, it really is just a question of how the monetary regime affects aggregate demand. As noted above, there are reasons to think that the proliferation of virtual currencies will boost the demand for goods and services, either through the wealth effect channel (people who acquired bitcoin in its early days feel richer today), or via the currency substitution channel (if people start transacting in bitcoin, they may try to dispose of their excess dollars, euros, yen, and yuan either by spending them or depositing them in banks, leading to higher loan growth). Neither of these effects is terribly significant right now, but both have the potential to increase in importance over time. At some point, governments will take steps to rein in virtual currencies. However, until then, their existence is likely to spur inflation in the fiat currencies in which most prices are measured. That's bad for high-quality government bonds, but potentially good for stocks. The implications for gold are mixed. On the one hand, if the growth of virtual currencies translates into an increase in the global money supply and rising inflation, that is good for bullion. On the other hand, if people see bitcoin as a competitor to gold as a store of value, they may wish to hold less of the yellow metal. The dollar could lose out from the proliferation of virtual currencies if central banks allocate some of their USD reserves into these new currencies. However, it is doubtful this will happen to any significant degree since most central banks are likely to see virtual currencies as unwanted competitors to their own monies. In the meantime, stronger global demand growth could put disproportionately more upward pressure on U.S. inflation, given that the U.S. is closer to full employment than most economies. This could cause the Fed to raise rates more aggressively than it otherwise would, leading to a firmer dollar. Peter Berezin, Chief Global Strategist Global Investment Strategy peterb@bcaresearch.com 1 To appreciate this point, ponder the question of who suffers when someone goes shopping with counterfeit currency. If the economy is operating at full potential, the answer is that everyone else suffers because they have to pay higher prices for the things that they buy. However, if there are plenty of idle workers, the additional spending is unlikely to raise prices. Rather, it will translate into higher output and income. 2 Please see Technology Sector Strategy, "Blockchain and Cryptocurrencies," dated May 5, 2017. Strategy & Market Trends Tactical Trades Strategic Recommendations Closed Trades

Highlights Financial markets have slipped into a 'risk off' phase. The upbeat second quarter earnings season in the U.S., Japan and the Eurozone was overwhelmed by a number of negative events. Equity bear markets are usually associated with recessions. On that score, we do not see any warning signs of an economic downturn. However, geopolitical risks are rising at a time when valuation measures suggest that risk assets are vulnerable. We do not see the debt ceiling or the failure of movement on U.S. tax reform as posing large risks for financial markets. However, trade protectionism and, especially, North Korea are major wildcards. We don't believe the tensions in the Korean peninsula will end the cyclical bull market in global equities. Nonetheless, investors should expect to be tested numerous times over the next year to 18 months. BCA Strategists debated trimming equity exposure to neutral. However, the majority felt that, while there will be near-term volatility, the main equity indexes are likely to be higher on a 6-12 month horizon. Riding out the volatility is a better approach than trying to time the short-term ups and downs. That said, it appears prudent to be well shy of max overweight positions and to hold some safe haven assets within diversified portfolios. On a positive note, we have upgraded our EPS growth forecasts, except in the Eurozone where currency strength will be a significant drag in the near term. The Fed faced a similar low inflation/tight labor market environment in 1999. Policymakers acted pre-emptively and began to tighten before inflation turned up. This time, the FOMC will want to see at least a small increase in inflation just to be sure. Wages may be a lagging indicator for inflation in this cycle. Watch a handful of other indicators we identify that led inflection points in inflation in previous long economic expansions. This year's euro strength is unlikely to delay the next installment of ECB tapering, which we expect in early in 2018. Investors seem to be taking an "I'll believe it when I see it" attitude toward the U.S. inflation outlook, which has led to very lopsided rate expectations. Keep duration short. Feature Chart I-1Trump Popularity Headwind For Tax Reform September 2017 September 2017 A 'risk off' flavor swept over financial markets in August. The upbeat second quarter earnings season in the U.S., Japan and the Eurozone was overwhelmed by a number of negative events, from President Trump's Charlottesville controversy to the never-ending staff changes in the White House to North Korean tensions to the Texas flood and the terror attack in Spain. Trump's popularity rating is steadily declining, even now among Republican voters (Chart I-1). This has raised concerns that none of his business-friendly policies, tax cuts or initiatives to boost growth will be successfully enacted. It is even possible that the debt ceiling will be used as a bargaining chip among the various Republican factions. The political risks are multiplying at a time when the equity and corporate bond markets are pricey. Valuation measures do not help with timing, but they do inform on the potential downside risk if things head south. At the moment, we do not see any single risk as justifying a full retreat into safe havens and a cut in risk asset allocation to neutral or below. Nonetheless, there is certainly a case to be cautious and hold some traditional safe haven assets. Timing The Next Equity Bear Market It is rare to have an equity bear market without a recession in the U.S. There have been plenty of market setbacks that did not quite meet the 20% bear-market threshold, but were nonetheless painful even in the absence of recession (Black Monday, LTCM crisis, U.S. debt ceiling showdown and euro crises). Unfortunately, these corrections are very difficult to predict. At least with recessions, investors have a fighting chance in timing the exit from risk exposure. The slope of the yield curve and the Leading Economic Indicator (LEI) are classic recession indicators, and for good reason (Chart I-2). Over the past 50 years they have both successfully called all seven recessions with just one false positive. We can eliminate the false positive signals by combining the two indicators and follow a rule that both must be in the red to herald a recession.1 Chart I-2The Traditional Recession Indicators Have Worked Well The Traditional Recession Indicators Have Worked Well The Traditional Recession Indicators Have Worked Well It will be almost impossible for the yield curve to invert until the fed funds rate is significantly higher than it is today. Thus, it may be the case that a negative reading on the LEI, together with a flattening (but not yet inverted) yield curve, will be a powerful signal that a recession is on the way. Neither of these two indicators are warning of a recession. Global PMIs are hovering at a level that is consistent with robust growth. The erosion in the Global ZEW and the drop in the diffusion index of the Global LEI are worrying signs, but at the moment are consistent with a growth slowdown at worst (Chart I-3). Financial conditions remain growth-friendly and subdued inflation is allowing central banks to proceed cautiously when tightening (in the case of the Fed and Bank of Canada) or tapering (ECB). As highlighted in last month's Overview, the global economy has entered a synchronized upturn that should persist for the next year. The U.S. will be the first major economy to enter the next recession, but that should not occur until 2019 or 2020, barring any shocks in the near term. That said, risk asset prices have been bid up sharply and are therefore vulnerable to a correction. Below, we discuss five key risks to the equity bull market. (1) Is All Lost For U.S. Tax Cuts? Our recent client meetings highlight that investors are skeptical that any fiscal stimulus or tax cuts will see the light of day in the U.S. Tax cuts and infrastructure spending appear to have been priced out of the equity market, according to the index ratios shown in Chart I-4. We still expect a modest package to eventually be passed, although time is running out for this year. Tax reform is a major component of Trump's and congressional Republicans' agenda. If it fails, Republicans will have to go to their home districts empty-handed to campaign for the November 2018 midterm elections. Chart I-3Some Worrying Signs On Growth Some Worrying Signs On Growth Some Worrying Signs On Growth Chart I-4Fiscal Stimulus Largely Priced Out Fiscal Stimulus Largely Priced Out Fiscal Stimulus Largely Priced Out One implication of Tropical Storm Harvey is that it might force Democrats and Republicans to cooperate on an infrastructure bill for rebuilding. Even a modest spending boost or tax reduction would be equity-market positive given that so little is currently discounted. The dollar should also receive a lift, especially given that the Fed might respond to any fiscally-driven growth impulse with higher interest rates. (2) Who Will Lead The Fed? There is a significant chance that either Yellen will refuse to stay on when her term expires next February or that Trump will appoint someone else anyway. In this case, we would expect the President to do everything he can to ensure that the Fed retains its dovish bias. This means that he is likely to favor a non-economist and a loyal adviser, like Gary Cohn, over any of the more traditional, and hawkish, Republican candidates. Cohn could not arrive at the Fed and change the course of monetary policy on day one. The FOMC votes on rate changes, but in reality decisions are formed by consensus (with one or two dissents). The only way Cohn could implement an abrupt change in policy is if the Administration stacks the Fed Governors with appointees that are prepared to "toe the line" (the Administration does not appoint Regional Fed Presidents). Stacking the Governorships would take time. Nonetheless, it is not clear why President Trump would take a heavy hand in monetary policy when the current FOMC has been very cautious in tightening policy. The bottom line is that we would not see Cohn's appointment to the Fed Chair as signaling a major shift in monetary policy one way or the other. (3) The Debt Ceiling A more immediate threat is the debt ceiling. Recent fights over Obamacare and tax reform have pit fiscally conservative Republicans against the moderates, and it is possible that the debt ceiling is used as a bargaining chip in this battle. While government shutdowns have occurred in the past, the debt ceiling has never been breached. At the end of the day, the debt ceiling will always be raised because no government could stand the popular pressure that would result from social security checks not being mailed out to seniors or a halt to other entitlement programs. Even the Freedom Caucus, the most fiscally conservative grouping in the House, is considerably divided on the issue. This augurs well for a clean bill to raise the debt ceiling as the Republican majority in the House is 22 and the Freedom Caucus has 31 members. Democrats will not stand in the way of passage in the Senate. The worst-case scenario for the market would be a two-week shutdown in the first half of October, just before the debt ceiling is hit. We would not expect a shutdown to have any lasting impact on the economy, although it could provide an excuse for the equity market to correct. That said, the risk of even a shutdown has been diminished by events in Houston. It would be very difficult and damaging politically to shut down the government during a humanitarian emergency. (4) Trade And Protectionism The removal of White House Chief Strategist Stephen Bannon signals a shift in power toward the Goldman clique within the Trump Administration. National Economic Council President Gary Cohn, Treasury Secretary Steven Mnuchin, and Commerce Secretary Wilbur Ross are now firmly in charge of economic policy. The mainstream media has interpreted this shift within the Administration as reducing the risk of trade friction. We do not see it that way. President Trump still sounds hawkish on trade, particularly with respect to China. Our geopolitical experts point out that there are few constraints on the President to imposing trade sanctions on China or other countries. He could use such action to boost his popularity among his base heading into next year's midterm elections. On NAFTA, the Administration took a hard line as negotiations kicked off in August. This could be no more than a negotiating tactic. Our base case is that it will be some time before investors find out if negotiations are going off the rails. That said, the situation is volatile for both NAFTA and China, and we can't rule out a trade-related risk-off phase in financial markets over the next year. (5) North Korea North Korea's missile launch over Japan highlights that the tense situation is a long way from a resolution. The U.S. is unlikely to use military force to resolve the standoff. There are long-standing constraints to war, including the likelihood of a high death toll in Seoul. Moreover, China is unlikely to remain neutral in any conflict. However, the U.S. will attempt to establish a credible threat in order to contain Kim Jong-un. From an investor's perspective, it will be difficult to gauge whether the brinkmanship and military displays are simply posturing or evidence of real preparations for war.2 We don't believe the tensions in the Korean peninsula will end the cyclical bull market in global equities. Nonetheless, investors should expect to be tested numerous times over the next year to 18 months. Adding it all up, there is no shortage of things to keep investors awake at night. We would be de-risking our recommended portfolio were it not for the favorable earnings backdrop in the major advanced economies. Profit Outlook Update Chart I-5EPS Growth Outlook EPS Growth Outlook EPS Growth Outlook Second quarter earnings season came in even stronger than our upbeat models suggested in the U.S., Eurozone and Japan. This led to upward revisions to our EPS growth forecast, except in the Eurozone where currency strength will be a significant drag in the near term. The U.S. equity market enjoyed another quarter of margin expansion in Q2 2017 and the good news was broadly based. Earnings per share were higher versus Q2 2016 in all 11 sectors. Results were particularly strong in energy, technology and financials. Looking ahead, an update of our top-down model suggests the EPS growth will peak just under 20% late this year on a 4-quarter moving average basis, before falling to mid-single digits by the end of 2018 (Chart I-5). The peak is predicted to be a little higher than we previously forecast largely due to the feed-through of this year's pullback in the dollar. In Japan, a solid 70% of reporting firms beat estimates. Chart I-6 shows that Japan led all other major stock markets in positive earnings surprises in the second quarter. Manufacturing sectors, such as iron & steel, chemicals and machinery & electronics, were particularly impressive in the quarter, reflecting yen weakness and robust overseas demand. Japanese earnings are highly geared to the rebound in global industrial production. Moreover, Japan's nominal GDP growth accelerated in the second quarter and the latest PPI report suggested that corporate pricing power has improved. Twelve-month forward EPS estimates have risen to fresh all times highs, and have outperformed the U.S. in local currencies so far this year. Corporate governance reform - a key element of Abenomics - can take some credit for the good news on earnings. The share of companies with at least two independent directors rose from 18% in 2013 to 78% in 2016. The number of companies with performance-linked pay increased from 640 to 941, while the number that publish disclosure policies jumped from 679 to 1055. Analysts have been slow to factor in these positive developments. We expect trailing EPS growth to peak at about 25% in the first half of 2018 on a 4-quarter moving total basis, before edging lower by the end of the year. This is one reason why we like the Japanese market over the U.S. in local currency terms. Second quarter results in the Eurozone were solid, although not as impressive as in the U.S. and Japan. The 6% rise in the trade-weighted euro this year has resulted in a drop in the earnings revisions ratio into negative territory. Our previous forecast pointed to a continued rise in the 4-quarter moving average growth rate into the first half of 2018. However, we now expect the growth rate to dip by year end, before picking up somewhat next year. If the euro is flat from today's level, our model suggests that the drag on EPS growth will hover at 3-4 percentage points through the first half of next year as the negative impact feeds through (Chart I-7, bottom panel). Chart I-6Japan Led In Q2 Earning Surprises September 2017 September 2017 Chart I-7Currency Effects On Eurozone EPS Currency Effects On Eurozone EPS Currency Effects On Eurozone EPS Our top-down EPS model highlights that Eurozone earnings are quite sensitive to swings in the currency. In Chart I-7, we present alternative scenarios based on the euro weakening to EUR/USD 1.10 and strengthening to EUR/USD 1.30. For demonstration purposes we make the extreme assumption that the trade-weighted value of the euro rises and falls by the same amount in percentage terms. Profit growth decelerates by the end of 2017 in all three scenarios because of the lagged effect of currency swings. The projections begin to diverge only in 2018. EPS growth surges to around 20% by the end of next year in the euro-bear case, as the tailwind from the weakening currency combines with continuing robust economic growth. Conversely, trailing earnings growth hovers in the 5-8% range in the euro bull scenario, which is substantially less than we expect in the U.S. and Japan over the next year. EPS growth remains in positive territory because the assumed strength in European and global growth dominates the drag from the euro. The strong euro scenario would be negative for Eurozone equity relative performance versus global stocks in local currencies, although Europe might outperform on a common currency basis. The bottom line is that 12-month forward earnings estimates should remain in an uptrend in the three major economies. This means that, absent a negative political shock, the equity bull phase should resume in the coming months. Monetary policy is unlikely to spoil the party for risk assets, although the bond market is a source of risk because investors seem unprepared for even a modest rise in inflation. FOMC Has Seen This Before The Minutes from the July FOMC meeting highlighted that the key debate still centers on the relationship between labor market tightness and inflation, the timing of the next Fed rate hike and how policy should adjust to changing financial conditions. Chart I-8The FOMC Has Been Here Before The FOMC Has Been Here Before The FOMC Has Been Here Before The majority of policymakers are willing for now to believe that this year's soft inflation readings are driven largely by temporary 'one-off' factors. The hawks worry that a further undershoot of unemployment below estimates of full employment could suddenly generate a surge of inflation. They also point to the risk that low bond yields are promoting excess risk taking in financial markets. Moreover, the recent easing in financial conditions is stimulative and should be counterbalanced by additional Fed tightening. The hawks are thus anxious to resume tightening, despite current inflation readings. Others are worried that inflation softness could reflect structural factors, such as restraints on pricing power from global developments and from innovations to business models spurred by advances in technology. In this month's Special Report beginning on page 18, we have a close look at the impact of "Amazonification" in holding down overall inflation. We do not find the evidence regarding e-commerce compelling, but the jury is still out on the impact of other technologies. If robots and new business strategies are indeed weighing on inflation, it would mean that the Phillips curve is very flat or that the full employment level of unemployment is lower than the Fed estimates (or both). Either way, the doves would like to see the whites-of-the-eyes of inflation before resuming rate hikes. The last time the Fed was perplexed by a low level of inflation despite a tight labor market was in the late 1990s (Chart I-8). The FOMC cut rates following the LTCM financial crisis in late 1998, and then held the fed funds rate unchanged at 4¾% until June 1999. Core inflation was roughly flat during the on-hold period at 1% to 1½%, even as the unemployment rate steadily declined and various measures pointed to growing labor shortages. The FOMC 's internal debate in the first half of 1999 sounded very familiar. The minutes from meetings at that time noted that some policymakers pointed to the widespread inability of firms to raise prices because of strong competitive pressures in domestic and global markets. Some argued that significant cost saving efforts and new technologies also contributed to the low inflation environment for both consumer prices and wages. One difference from today is that productivity growth was solid at that time. The FOMC decided to hike rates in June 1999 by a quarter point, despite the absence of any clear indication that inflation had turned up. Policymakers described the tightening as "a small preemptive move... (that) would provide a degree of insurance against worsening inflation later". The Fed went on to lift the fed funds rate to 6½% by May 2000. Interestingly, the unemployment rate in June 1999 was 4.3%, exactly the same as the current rate. There are undoubtedly important differences in today's macro backdrop. The Fed is also more fearful of making a policy mistake in the aftermath of the Great Recession and financial crisis. Nonetheless, the point is that the Fed has faced a similar low inflation/tight labor market environment before, but in the end patience ran out and policymakers acted pre-emptively. Inflation Warning Signs During Long-Expansions We have noted in previous research that inflation pressures are slower to emerge in 'slow burn' recoveries, such as the 1980s and 1990s. In Chart I-9, we compare the core PCE inflation rate in the current cycle with the average of the previous two long expansion episodes (the inflection point for inflation in the previous cycles are aligned with June 2017 for comparison purposes). The other panels in the chart highlight that, in the 1980s and 1990s, wage growth was a lagging indicator. Economic commentators often assume that inflation is driven exclusively by "cost push" effects, such that the direction of causation runs from wage pressure to price pressure. However, causation runs in the other direction as well. Households see rising prices and then demand better wages to compensate for the added cost of living. This is not to say that we should totally disregard wage information. But it does mean that we must keep an eye on a wider set of data. Indicators that provided some leading information in the previous two long cycles are shown in Chart I-10. To this list we would also add the St. Louis Fed's Price Pressure index, which is not shown in Chart I-10 because it does not have enough history. At the moment, the headline PPI, ISM Prices Paid and BCA's pipeline inflation pressure index are all warning that inflation pressures are gradually building. However, this message is not confirmed by the St. Louis Fed's index and corporate selling prices. We are also watching the velocity of money, which has been a reasonably good leading indicator for U.S. inflation since 2000 (Chart I-11). Chart I-9In The 80s & 90s Wage Growth ##br##Gave No Early Warning On Inflation In The 80s & 90s Wage Growth Gave No Early Warning On Inflation In The 80s & 90s Wage Growth Gave No Early Warning On Inflation Chart I-10Leading Indicators Of Inflation ##br##In "Slow Burn" Recoveries Leading Indicators Of Inflation In "Slow Burn" Recoveries Leading Indicators Of Inflation In "Slow Burn" Recoveries Chart I-11Money Velocity And Inflation Money Velocity And Inflation Money Velocity And Inflation Our Fed view remains unchanged from last month; the FOMC will announce its balance sheet diet plan in September and the next rate hike will take place in December. Nonetheless, this forecast hangs on the assumption that core inflation edges higher in the coming months. Some indicators are pointing in that direction and recent dollar weakness will help. Wake Me When Inflation Picks Up Investors seem to be taking an "I'll believe it when I see it" attitude toward the U.S. inflation outlook. They also believe that persistent economic headwinds mean that monetary policy will need to stay highly accommodative for a very long time. Only one Fed rate hike is discounted between now and the end of 2018, and implied forward real short-term rates are negative until 2022. While we do not foresee surging inflation, the risks for market expectations appear quite lopsided. We expect one rate hike by year end, followed by at least another 50 basis points of tightening in 2018. The U.S. 10-year yield is also about almost 50 basis points below our short-term fair value estimate (Chart I-12). Moreover, over the medium- and long-term, reduced central bank bond purchases will impart gentle upward pressure on equilibrium bond yields. Twenty-eighteen will be the first time in four years in which the net supply of government bonds available to private investors will rise, taking the U.S., U.K., Eurozone and Japanese markets as a group. This year's euro strength is unlikely to delay the next installment of ECB tapering, which we expect in early in 2018. The currency appreciation will keep a lid on inflation in the near term. However, we see the euro's ascent as reflective of the booming economy, rather than a major headwind that will derail the growth story. Overall financial conditions have tightened this year, but only back to levels that persisted through 2016 (Chart I-13). Chart I-12U.S. 10-year Yield Is Below Fair Value U.S. 10-year Yield Is Below Fair Value U.S. 10-year Yield Is Below Fair Value Chart I-13Financial Conditions Financial Conditions Financial Conditions It will take clear signs that the economy is being negatively affected by currency strength for the ECB to back away from tapering. Indeed, the central bank has little choice because the bond buying program is approaching important technical limits. European corporate and peripheral bond spreads are likely to widen versus bunds as a result. The implication is that global yields have significant upside potential relative to forward rates, especially in the U.S. market. Duration should be kept short. JGBs are the only safe place to hide if global yields shift up because the Bank of Japan is a long way from abandoning its 10-year yield peg. Treasury yields should lead the way higher, which will finally place a bottom under the beleaguered dollar. Nonetheless, we are tactically at neutral on the greenback. Conclusions Chart I-14Gold Loves Geopolitical Crises September 2017 September 2017 In light of rising geopolitical risk, the BCA Strategists recently debated trimming equity exposure to neutral. Some argued that the risk/reward balance has deteriorated; the upside is limited by poor valuation, while there is significant downside potential if the North Korean situation deteriorates alarmingly. However, the majority felt that, while there will be near-term volatility, the main equity indexes are likely to be higher on a 6-12 month horizon. Riding out the volatility is a better approach than trying to time the short-term ups and downs. That said, it appears prudent to be well shy of max overweight positions and to hold some safe haven assets within diversified portfolios. BCA research has demonstrated that U.S. Treasurys, Swiss bonds and JGBs have been the best performers in times of crisis (Chart I-14).3 The same is true for the Swiss franc and the Japanese yen, such that the currency exposure should not be hedged in these cases. The dollar is more nuanced. It tends to perform well during financial crises, but not in geopolitical crises or recessions. Gold has tended to perform well in geopolitical events and recessions, although not in financial crises. We continue to prefer Japanese to U.S. stocks in local currency terms, given that EPS growth will likely peak in the U.S. first. Japanese stocks are also better valued. Europe is a tough call because this year's currency strength will weigh on earnings in the next quarter or two. However, the negative impact on earnings will reverse if the euro retraces as we expect. EM stocks have seen the strongest positive earnings revisions this year. We continue to worry about some of the structural headwinds facing emerging markets (high debt levels, poor governance, etc.). However, the cyclical picture remains more upbeat. Chinese H-shares remain our favorite EM market, trading at just 7.5 times 2017 earnings estimates. Our dollar and duration positions have been disappointing so far this year. Much hinges on U.S. inflation. Investors appear to have adopted the idea that structural headwinds to inflation will forever dominate the cyclical pressures. This means that the bond market is totally unprepared for any upside surprises on the inflation landscape. Admittedly, a rise in bond yields may not be imminent, but the risks appear to us to be predominantly to the upside. Lastly, crude oil inventories are shrinking as our commodity strategists predicted. They remain bullish, with a price target of USD60/bbl. Mark McClellan Senior Vice President The Bank Credit Analyst August 31, 2017 Next Report: September 28, 2017 1 Please see BCA Global ETF Strategy, "A Guide To Spotting And Weathering Bear Markets," dated August 16, 2017, available at etf.bcaresearch.com 2 Please see Geopolitical Strategy Weekly Report, "Can Pyongyang Derail The Bull Market?" dated August 16, 2017, available at gps.bcaresearch.com 3 Please see BCA Special Report, "Stairway To (Safe) Haven: Investing In Times Of Crisis," dated August 25, 2016, available at bca.bcaresearch.com II. Did Amazon Kill The Phillips Curve? A "culture of profound cost reduction" has gripped the business sector since the GFC according to one school of thought, permanently changing the relationship between labor market slack and wages or inflation. If true, it could mean that central banks are almost powerless to reach their inflation targets. Amazon, Airbnb, Uber, robotics, contract workers, artificial intelligence, horizontal drilling and driverless cars are just a few examples of companies and technologies that are cutting costs and depressing prices and wages. In the first of our series on inflation, we will focus on the rise of e-commerce and the related "Amazonification" of the economy. In theory, positive supply shocks should not have more than a temporary impact on inflation if the price level is indeed a monetary phenomenon in the long term. But a series of positive supply shocks could make it appear for quite a while that low inflation is structural in nature. We are keeping an open mind and reserving judgement on the disinflationary impact of robotics, artificial intelligence and the gig economy until we do more research. But in terms of the impact of e-commerce, it is difficult to find supportive evidence at the macro level. The admittedly inadequate measures of online prices available today do not suggest that e-commerce sales are depressing the overall inflation rate by more than 0.1 or 0.2 percentage points. Moreover, it does not appear that the disinflationary impact of competition in the retail sector has intensified over the years. Today's creative destruction in retail may be no more deflationary than the shift to 'big box' stores in the 1990s. Perhaps lower online prices are forcing traditional retailers to match the e-commerce vendors, allowing for a larger disinflationary effect than we estimate. However, the fact that retail margins are near secular highs outside of department stores argues against this thesis. The sectors potentially affected by e-commerce make up a small part of the CPI index. The deceleration of inflation since the GFC has been in areas unaffected by online sales. High profit margins for the overall corporate sector and depressed productivity growth also argue against the idea that e-commerce represents a large positive macro supply shock. Perhaps the main way that e-commerce is affecting the macro economy and financial markets is not through inflation, but via the reduction in the economy's capital spending requirement. This would reduce the equilibrium level of interest rates, since the Fed has to stimulate other parts of the economy to offset the loss of demand in capital spending in the retail sector. Anecdotal evidence is all around us. The global economy is evolving and it seems that all of the major changes are deflationary. Amazon, Airbnb, Uber, robotics, contract workers, artificial intelligence, horizontal drilling and driverless cars are just a few examples of companies and technologies that are cutting costs and depressing prices and wages. Central banks in the major advanced economies are having difficulty meeting their inflation targets, even in the U.S. where the labor market is tight by historical standards. Based on the depressed level of bond yields, it appears that the majority of investors believe that inflation headwinds will remain formidable for a long time. One school of thought is that low inflation reflects a lack of demand growth in the post-Great Financial Crisis (GFC) period. Another school points to the supply side of the economy. A recent report by Prudential Financial highlights "...obvious examples of ... new business models and new organizational structures, whereby higher-cost traditional methods of production, transportation, and distribution are displaced by more nontraditional cost-effective ways of conducting business."1 A "culture of profound cost reduction" has gripped the business sector since the GFC according to this school, permanently changing the relationship between labor market slack and wages or inflation (i.e., the Phillips Curve). Employees are less aggressive in their wage demands in a world where robots are threatening humans in a broadening array of industrial categories. Many feel lucky just to have a job. In a highly sensationalized article called "How The Internet Economy Killed Inflation," Forbes argued that "the internet has reduced many of the traditional barriers to entry that protect companies from competition and created a race to the bottom for prices in a number of categories." Forbes believes that new technologies are placing downward pressure on inflation by depressing wages, increasing productivity and encouraging competition. There are many factors that have the potential to weigh on prices, but analysts are mainly focusing on e-commerce, robotics, artificial intelligence, and the gig economy. In the first of our series on inflation, we will focus on the rise of e-commerce and the related "Amazonification" of the economy. The latter refers to the advent of new business models that cut out layers of middlemen between producers and consumers. Amazonification E-commerce has grown at a compound annual rate of more than 9% over the past 15 years, and now accounts for about 8½% of total U.S. retail sales (Chart II-1). Amazon has been leading the charge, accounting for 43% of all online sales in 2016 (Chart II-2). Amazon's business model not only cuts costs by eliminating middlemen and (until recently) avoiding expensive showrooms, but it also provides a platform for improved price discovery on an extremely broad array of goods. In 2013, Amazon carried 230 million items for sale in the United States, nearly 30 times the number sold by Walmart, one of the largest retailers in the world. Chart II-1E-Commerce: Steady Increase In Market Share E-Commerce: Steady Increase In Market Share E-Commerce: Steady Increase In Market Share Chart II-2Amazon Dominates September 2017 September 2017 With the use of a smartphone, consumers can check the price of an item on Amazon while shopping in a physical store. Studies show that it does not require a large price gap for shoppers to buy online rather than in-store. Amazon appears to be impacting other retailers' ability to pass though cost increases, leading to a rash of retail outlet closings. Sears alone announced the closure of 300 retail outlets this year. The devastation that Amazon inflicted on the book industry is well known. It is no wonder then, that Amazon's purchase of Whole Foods Market, a grocery chain, sent shivers down the spines of CEOs not only in the food industry, but in the broader retail industry as well. What would prevent Amazon from applying its model to furniture and appliances, electronics or drugstores? It seems that no retail space is safe. A Little Theory Before we turn to the evidence, let's review the macro theory related to positive supply shocks. The internet could be lowering prices by moving product markets toward the "perfect competition" model. The internet trims search costs, improves price transparency and reduces barriers to entry. The internet also allows for shorter supply chains, as layers of wholesalers and other intermediaries are removed and e-commerce companies allow more direct contact between consumers and producers. Fewer inventories and a smaller "brick and mortar" infrastructure take additional costs out of the system. Economic theory suggests that the result of this positive supply shock will be greater product market competition, increased productivity and reduced profitability. In the long run, workers should benefit from the productivity boost via real wage gains (even if nominal wage growth is lackluster). Workers may lower their reservation wage if they feel that increased competitive pressures or technology threaten their jobs. The internet is also likely to improve job matching between the unemployed and available vacancies, which should lead to a fall in the full-employment level of unemployment (NAIRU). Nonetheless, the internet should not have a permanent impact on inflation. The lower level of NAIRU and the direct effects of the internet on consumer prices discussed above allow inflation to fall below the central bank's target. The bank responds by lowering interest rates, stimulating demand and thereby driving unemployment down to the new lower level of NAIRU. Over time, inflation will drift back up toward target. In other words, a greater degree of the competition should boost the supply side of the economy and lower NAIRU, but it should not result in a permanently lower rate of inflation if inflation is indeed a monetary phenomenon and central banks strive to meet their targets. Still, one could imagine a series of supply shocks that are spread out over time, with each having a temporary negative impact on prices such that it appears for a while that inflation has been permanently depressed. This could be an accurate description of the current situation in the U.S. and some of the other major countries. We have sympathy for the view that the internet and new business models are increasing competition, cutting costs and thereby limiting price increases in some areas. But is there any hard evidence? Is the competitive effect that large, and is it any more intense than in the past? There are a number of reasons to be skeptical because most of the evidence does not support Forbes' claim that the internet has killed inflation. (1) E-commerce affects only a small part of the Consumer Price Index As mentioned above, online shopping for goods represents 8.5% of total retail sales in the U.S. E-commerce is concentrated in four kinds of businesses (Table II-1): Furniture & Home Furnishings (7% of total retail sales), Electronics & Appliances (20%), Health & Personal Care (15%), and Clothing (10%). Since goods make up 40% of the CPI, then 3.2% (8% times 40%) is a ballpark estimate for the size of goods e-commerce in the CPI. Table II-1E-Commerce Market Share Of Goods Sector (2015) September 2017 September 2017 Table II-2 shows the relative size of e-commerce in the service sector. The analysis is complicated by the fact that the data on services includes B-to-B sales in addition to B-to-C.2 However, e-commerce represents almost 4% of total sales for the service categories tracked by the BLS. Services make up 60% of the CPI, but the size drops to 26% if we exclude shelter (which is probably not affected by online shopping). Thus, e-commerce in the service sector likely affects 1% (3.9% times 26%) of the CPI. Table II-2E-Commerce Market Share Of Service Sector (2015) September 2017 September 2017 Adding goods and services, online shopping affects about 4.2% of the CPI index at most. The bottom line is that the relatively small size of e-commerce at the consumer level limits any estimate of the impact of online sales on the broad inflation rate. (2) Most of the deceleration in inflation since 2007 has been in areas unaffected by e-commerce Table II-3 compares the average contribution to annual average CPI inflation during 2000-2007 with that of 2007-2016. Average annual inflation fell from 2.9% in the seven years before the Great Recession to 1.8% after, for a total decline of just over 1 percentage point. The deceleration is almost fully explained by Energy, Food and Owners' Equivalent Rent. The bottom part of Table II-3 highlights that the sectors with the greatest exposure to e-commerce had a negligible impact on the inflation slowdown. Table II-3Comparison Of Pre- and Post-Lehman Inflation Rates September 2017 September 2017 (3) The cost advantages for online sellers are overstated Bain & Company, a U.S. consultancy, argues that e-commerce will not grow in importance indefinitely and come to dominate consumer spending.3 E-commerce sales are already slowing. Market share is following a classic S-shaped curve that, Bain estimates, will top out at under 30% by 2030. First, not everyone wants to buy everything online. Products that are well known to consumers and purchased on a regular basis are well suited to online shopping. But for many other products, consumers need to see and feel the product in person before making a purchase. Second, the cost savings of online selling versus traditional brick and mortar stores is not as great as many believe. Bain claims that many e-commerce businesses struggle to make a profit. The information technology, distribution centers, shipping, and returns processing required by e-commerce companies can cost as much as running physical stores in some cases. E-tailers often cannot ship directly from manufacturers to consumers; they need large and expensive fulfillment centers and a very generous returns policy. Moreover, online and offline sales models are becoming blurred. Retailers with physical stores are growing their e-commerce operations, while previously pure e-commerce plays are adding stores or negotiating space in other retailers' stores. Even Amazon now has storefronts. The shift toward an "multichannel" selling model underscores that there are benefits to traditional brick-and-mortar stores that will ensure that they will not completely disappear. (4) E-commerce is not the first revolution in the retail sector The retail sector has changed significantly over the decades and it is not clear that the disinflationary effect of the latest revolution, e-commerce, is any more intense than in the past. Economists at Goldman Sachs point out that the growth of Amazon's market share in recent years still lags that of Walmart and other "big box" stores in the 1990s (Chart II-3).4 This fact suggests that "Amazonification" may not be as disinflationary as the previous big-box revolution. (5) Weak productivity growth and high profit margins are inconsistent with a large supply-side benefit from e-commerce As discussed above, economic theory suggests that a positive supply shock that cuts costs and boosts competition should trim profit margins and lift productivity. The problem is that the margins and productivity have moved in the opposite direction that economic theory would suggest (Chart II-4). Chart II-3Amazon Vs. Walmart: ##br##Who's More Deflationary? September 2017 September 2017 Chart II-4Incompatible With A Supply Shock Incompatible With A Supply Shock Incompatible With A Supply Shock By definition, productivity rises when firms can produce the same output with fewer or cheaper inputs. However, it is well documented that productivity growth has been in a downtrend since the 1990s, and has been dismally low since the Great Recession. A Special Report from BCA's Global Investment Strategy5 service makes a convincing case that mismeasurement is not behind the low productivity figures. In fact, in many industries it appears that productivity is over-estimated. If e-commerce is big enough to "move the dial" on overall inflation, it should be big enough to see in the aggregate productivity figures. Chart II-5Retail Margin Squeeze ##br##Only In Department Stores Retail Margin Squeeze Only In Department Stores Retail Margin Squeeze Only In Department Stores One would also expect to see a margin squeeze across industries if e-commerce is indeed generating a lot of deflationary competitive pressure. Despite dismally depressed productivity, however, corporate profit margins are at the high end of the historical range across most of the sectors of the S&P 500. This is the case even in the retailing sector outside of department stores (Chart II-5). These facts argue against the idea that the internet has moved the economy further toward a disinflationary "perfect competition" model. (6) Online price setting is characterized by frictions comparable to traditional retail We would expect to observe a low price dispersion across online vendors since the internet has apparently lowered the cost of monitoring competitors' prices and the cost of searching for the lowest price. We would also expect to see fairly synchronized price adjustments; if one vendor adjusts its price due to changing market conditions, then the rest should quickly follow to avoid suffering a massive loss of market share. However, a recent study of price-setting practices in the U.S. and U.K. found that this is not the case.6 The dataset covered a broad spectrum of consumer goods and sellers over a two-year period, comparing online with offline prices. The researchers found that market pricing "frictions" are surprisingly elevated in the online world. Price dispersion is high in absolute terms and on par with offline pricing. Academics for years have puzzled over high price rigidities and dispersion in retail stores in the context of an apparently stiff competitive environment, and it appears that online pricing is not much better. The study did not cover a long enough period to see if frictions were even worse in the past. Nonetheless, the evidence available suggests that the lower cost of monitoring prices afforded by the internet has not led to significant price convergence across sellers online or offline. Another study compared online and offline prices for multichannel retailers, using the massive database provided by the Billion Prices Project at MIT.7 The database covers prices across 10 countries. The study found that retailers charged the same price online as in-store in 72% of cases. The average discount was 4% for those cases in which there was a markdown online. If the observations with identical prices are included, the average online/offline price difference was just 1%. (7) Some measures of online prices have grown at about the same pace as the CPI index The U.S. Bureau of Labor Statistics does include online sales when constructing the Consumer Price Index. It even includes peer-to-peer sales by companies such as Airbnb and Uber. However, the BLS admits that its sample lags the popularity of such services by a few years. Moreover, while the BLS is trying to capture the rising proportion of sales done via e-commerce, "outlet bias" means that the CPI does not capture the price effect in cases where consumers are finding cheaper prices online. This is because the BLS weights the growth rate of online and offline prices, not the price levels. While there may be level differences, there is no reason to believe that the inflation rates for similar goods sold online and offline differ significantly. If the inflation rates are close, then the growing share of online sales will not affect overall inflation based on the BLS methodology. The BLS argues that any bias in the CPI due to outlet bias is mitigated to the extent that physical stores offer a higher level of service. Thus, price differences may not be that great after quality-adjustment. All this suggests that the actual consumer price inflation rate could be somewhat lower than the official rate. Nonetheless, it does not necessarily mean that inflation, properly measured, is being depressed by e-commerce to a meaningful extent. Indeed, Chart II-6 highlights that the U.S. component of the Billion Prices Index rose at a faster pace than the overall CPI between 2009 and 2014. The Online Price Index fell in absolute and relative terms from 2014 to mid-2016, but rose sharply toward the end of 2016. Applying our guesstimate of the weight of e-commerce in the CPI (3.2% for goods), online price inflation added to overall annual CPI inflation by about 0.3 percentage points in 2016 (bottom panel of Chart II-6). There is more deflation evident in the BLS' index of prices for Electronic Shopping and Mail Order Houses (Chart II-7). Online prices fell relative to the overall CPI for most of the time since the early 1990s, with the relative price decline accelerating since the GFC. However, our estimate of the contribution to overall annual CPI inflation is only about -0.15 percentage points in June 2017, and has never been more than -0.3 percentage points. This could be an underestimate because it does not include the impact of services, although the service e-commerce share of the CPI is very small. Chart II-6Online Price Index Online Price Index Online Price Index Chart II-7Electronic Shopping Price Index Electronic Shopping Price Index Electronic Shopping Price Index Another way to approach this question is to focus on the parts of the CPI that are most exposed to e-commerce. It is impossible to separate the effect of e-commerce on inflation from other drivers of productivity. Nonetheless, if online shopping is having a significant deflationary impact on overall inflation, we should see large and persistent negative contributions from these parts of the CPI. We combined the components of the CPI that most closely matched the sectors that have high e-commerce exposure according to the BLS' annual Retail Survey (Chart II-8). The sectors in our aggregate e-commerce price proxy include hotels/motels, taxicabs, books & magazines, clothing, computer hardware, drugs, health & beauty aids, electronics & appliances, alcoholic beverages, furniture & home furnishings, sporting goods, air transportation, travel arrangement and reservation services, educational services and other merchandise. The sectors are weighted based on their respective weights in the CPI. Our e-commerce price proxy has generally fallen relative to the overall CPI index since 2000. However, while the average contribution of these sectors to the overall annual CPI inflation rate has fallen in the post GFC period relative to the 2000-2007 period, the average difference is only 0.2 percentage points. The contribution has hovered around the zero mark for the past 2½ years. Surprisingly, price indexes have increased by more than the overall CPI since 2000 in some sectors where one would have expected to see significant relative price deflation, such as taxis, hotels, travel arrangement and even books. One could argue that significant measurement error must be a factor. How could the price of books have gone up faster than the CPI? Sectors displaying the most relative price declines are clothing, computers, electronics, furniture, sporting goods, air travel and other goods. We recalculated our e-commerce proxy using only these deflating sectors, but we boosted their weights such that the overall weight of the proxy in the CPI is kept the same as our full e-commerce proxy discussed above. In other words, this approach implicitly assumes that the excluded sectors (taxis, books, hotels and travel arrangement) actually deflated at the average pace of the sectors that remain in the index. Our adjusted e-commerce proxy suggests that online pricing reduced overall CPI inflation by about 0.1-to-0.2 percentage points in recent years (Chart II-9). This contribution is below the long-term average of the series, but the drag was even greater several times in the past. Chart II-8BCA E-Commerce Proxy Price Index BCA E-Commerce Proxy Price Index BCA E-Commerce Proxy Price Index Chart II-9BCA E-Commerce Adjusted Proxy Price Index BCA E-Commerce Adjusted Proxy Price Index BCA E-Commerce Adjusted Proxy Price Index Admittedly, data limitations mean that all of the above estimates of the impact of e-commerce are ballpark figures. Conclusions We are keeping an open mind and reserving judgement on the disinflationary impact of robotics, artificial intelligence and the gig economy until we do more research. But in terms of the impact of e-commerce, it is difficult to find supportive evidence. The available data are admittedly far from ideal for confirming or disproving the "Amazonification" thesis. Perhaps better measures of e-commerce pricing will emerge in the future. Nonetheless, the measures available today do not suggest that online sales are depressing the overall inflation rate by more than 0.1 or 0.2 percentage points, and it does not appear that the disinflationary impact has intensified by much. One could argue that lower online prices are forcing traditional retailers to match the e-commerce vendors, allowing for a larger disinflationary effect than we estimate. Nonetheless, if this were the case, then we would expect to see significant margin compression in the retail sector. The sectors potentially affected by e-commerce make up a small part of the CPI index. The deceleration of inflation since the GFC has been in areas unaffected by online sales. High corporate profit margins and depressed productivity growth also argue against the idea that e-commerce represents a large positive macro supply shock. Finally, today's creative destruction in retail may be no more deflationary than the shift to 'big box' stores in the 1990s. Perhaps the main way that e-commerce is affecting the macro economy and financial markets is not through inflation, but via the reduction in the economy's capital spending requirement. Rising online activity means that we need fewer shopping malls and big box outlets to support a given level of consumer spending. This would reduce the equilibrium level of interest rates, since the Fed has to stimulate other parts of the economy to offset the loss of demand in capital spending in the retail sector. To the extent that central banks were slow to recognize that equilibrium rates had fallen to extremely low levels, then policy was behind the curve and this might have contributed to the current low inflation environment. Mark McClellan Senior Vice President The Bank Credit Analyst 1 Robert F. DeLucia, "Economic Perspective: A Nontraditional Analysis Of Inflation," Prudential Capital Group (August 21, 2017). 2 Business to business, and business to consumer. 3 Aaron Cheris, Darrell Rigby and Suzanne Tager, "The Power Of Omnichannel Stores," Bain & Company Insights: Retail Holiday Newsletter 2016-2017 (December 19, 2016). 4 "US Daily: The Internet And Inflation: How Big Is The Amazon Effect?" Goldman Sachs Economic Research (August 2, 2017). 5 Please see Global Investment Strategy Weekly Report, "Weak Productivity Growth: Don't Blame The Statisticians," dated March 25, 2016, available at gis.bcaresearch.com 6 Yuriy Gorodnichenko, Viacheslav Sheremirov, and Oleksandr Talavera, "Price Setting In Online Markets: Does IT Click?" Journal of the European Economic Association (July 2016). 7 Alberto Cavallo, "Are Online And Offline Prices Similar? Evidence From Large Multi-Channel Retailers," NBER Working Paper No. 22142 (March 2016). III. Indicators And Reference Charts Stocks struggled in August on the back of intensifying geopolitical risks, such that equity returns slipped versus bonds in the month. The earnings backdrop remains constructive for global stocks. In the U.S., 12-month forward EPS estimates continue to climb, in line with upbeat net revisions and earnings surprises. Nonetheless, the risk/reward balance has deteriorated due to escalating risks inside and outside of the U.S. Allocation to risk assets should still exceed benchmark, but should be shy of maximum settings. It is prudent to hold some of the traditional safe haven assets, including gold. Our new Revealed Preference Indicator (RPI) remained at 100% in August, sending a bullish message for equities. We introduced the RPI in the July report. Quite simply, it combines the idea of market momentum with valuation and policy measures. It provides a powerful bullish signal if positive market momentum lines up with constructive signals from the policy and valuation measures. Conversely, if constructive market momentum is not supported by valuation and policy, investors should lean against the market trend. Our Willingness-to-Pay (WTP) indicators are also bullish on stocks for the U.S., Europe and Japan. These indicators track flows, and thus provides information on what investors are actually doing, as opposed to sentiment indexes that track how investors are feeling. The U.S. WTP topped out in June and the same occurred in August for the Japan and the Eurozone indexes. While the indicators are still bullish, they highlight that flows into the equity markets in the major countries are beginning to moderate. These indicators would have to clearly turn lower to provide a bearish signal for stocks. The VIX increased last month, but remains depressed by historical standards. This implies that the equity market is vulnerable to bad news. However, investor sentiment is close to neutral and our speculation index has pulled back from previously elevated levels. These suggest that investors are not overly long at the moment. Our monetary indicator is only slightly negative, but the equity technical indicator is close to breaking below the 9-month moving average (a negative technical sign). Bond valuation continues to hover near fair value, according to our long-standing model that is based on a simple regression of the nominal 10-year yield on short-term real interest rates and a moving average of inflation. Another model, presented in the Overview section, estimates fair value based on dollar sentiment, a measure of policy uncertainty and the global PMI. This model suggests that the 10-year yield is almost 50 basis points on the expensive side. We think that Fed rate expectations are far too benign, suggesting that bond yields will rise. EQUITIES: Chart III-1U.S. Equity Indicators U.S. Equity Indicators U.S. Equity Indicators Chart III-2Willingness To Pay For Risk Willingness To Pay For Risk Willingness To Pay For Risk Chart III-3U.S. Equity Sentiment Indicators U.S. Equity Sentiment Indicators U.S. Equity Sentiment Indicators Chart III-4Revealed Preference Indicator Revealed Preference Indicator Revealed Preference Indicator Chart III-5U.S. Stock Market Valuation U.S. Stock Market Valuation U.S. Stock Market Valuation Chart III-6U.S. Earnings U.S. Earnings U.S. Earnings Chart III-7Global Stock Market And ##br##Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Chart III-8Global Stock Market And ##br##Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance Global Stock Market And Earnings: Relative Performance FIXED INCOME: Chart III-9U.S. Treasurys And Valuations U.S. Treasurys and Valuations U.S. Treasurys and Valuations Chart III-10U.S. Treasury Indicators U.S. Treasury Indicators U.S. Treasury Indicators Chart III-11Selected U.S. Bond Yields Selected U.S. Bond Yields Selected U.S. Bond Yields Chart III-1210-Year Treasury Yield Components 10-Year Treasury Yield Components 10-Year Treasury Yield Components Chart III-13U.S. Corporate Bonds And Health Monitor U.S. Corporate Bonds And Health Monitor U.S. Corporate Bonds And Health Monitor Chart III-14Global Bonds: Developed Markets Global Bonds: Developed Markets Global Bonds: Developed Markets Chart III-15Global Bonds: Emerging Markets Global Bonds: Emerging Markets Global Bonds: Emerging Markets CURRENCIES: Chart III-16U.S. Dollar And PPP U.S. Dollar And PPP U.S. Dollar And PPP Chart III-17U.S. Dollar And Indicator U.S. Dollar And Indicator U.S. Dollar And Indicator Chart III-18U.S. Dollar Fundamentals U.S. Dollar Fundamentals U.S. Dollar Fundamentals Chart III-19Japanese Yen Technicals Japanese Yen Technicals Japanese Yen Technicals Chart III-20Euro Technicals Euro Technicals Euro Technicals Chart III-21Euro/Yen Technicals Euro/Yen Technicals Euro/Yen Technicals Chart III-22Euro/Pound Technicals Euro/Pound Technicals Euro/Pound Technicals COMMODITIES: Chart III-23Broad Commodity Indicators Broad Commodity Indicators Broad Commodity Indicators Chart III-24Commodity Prices Commodity Prices Commodity Prices Chart III-25Commodity Prices Commodity Prices Commodity Prices Chart III-26Commodity Sentiment Commodity Sentiment Commodity Sentiment Chart III-27Speculative Positioning Speculative Positioning Speculative Positioning ECONOMY: Chart III-28U.S. And Global Macro Backdrop U.S. And Global Macro Backdrop U.S. And Global Macro Backdrop Chart III-29U.S. Macro Snapshot U.S. Macro Snapshot U.S. Macro Snapshot Chart III-30U.S. Growth Outlook U.S. Growth Outlook U.S. Growth Outlook Chart III-31U.S. Cyclical Spending U.S. Cyclical Spending U.S. Cyclical Spending Chart III-32U.S. Labor Market U.S. Labor Market U.S. Labor Market Chart III-33U.S. Consumption U.S. Consumption U.S. Consumption Chart III-34U.S. Housing U.S. Housing U.S. Housing Chart III-35U.S. Debt And Deleveraging U.S. Debt And Deleveraging U.S. Debt And Deleveraging Chart III-36U.S. Financial Conditions U.S. Financial Conditions U.S. Financial Conditions Chart III-37Global Economic Snapshot: Europe Global Economic Snapshot: Europe Global Economic Snapshot: Europe Chart III-38Global Economic Snapshot: China Global Economic Snapshot: China Global Economic Snapshot: China

A "culture of profound cost reduction" has gripped the business sector since the GFC according to one school of thought, permanently changing the relationship between labor market slack and wages or inflation. If true, it could mean that central banks are almost powerless to reach their inflation targets. Amazon, Airbnb, Uber, robotics, contract workers, artificial intelligence, horizontal drilling and driverless cars are just a few examples of companies and technologies that are cutting costs and depressing prices and wages. In the first of our series on inflation, we will focus on the rise of e-commerce and the related "Amazonification" of the economy. In theory, positive supply shocks should not have more than a temporary impact on inflation if the price level is indeed a monetary phenomenon in the long term. But a series of positive supply shocks could make it appear for quite a while that low inflation is structural in nature. We are keeping an open mind and reserving judgement on the disinflationary impact of robotics, artificial intelligence and the gig economy until we do more research. But in terms of the impact of e-commerce, it is difficult to find supportive evidence at the macro level. The admittedly inadequate measures of online prices available today do not suggest that e-commerce sales are depressing the overall inflation rate by more than 0.1 or 0.2 percentage points. Moreover, it does not appear that the disinflationary impact of competition in the retail sector has intensified over the years. Today's creative destruction in retail may be no more deflationary than the shift to 'big box' stores in the 1990s. Perhaps lower online prices are forcing traditional retailers to match the e-commerce vendors, allowing for a larger disinflationary effect than we estimate. However, the fact that retail margins are near secular highs outside of department stores argues against this thesis. The sectors potentially affected by e-commerce make up a small part of the CPI index. The deceleration of inflation since the GFC has been in areas unaffected by online sales. High profit margins for the overall corporate sector and depressed productivity growth also argue against the idea that e-commerce represents a large positive macro supply shock. Perhaps the main way that e-commerce is affecting the macro economy and financial markets is not through inflation, but via the reduction in the economy's capital spending requirement. This would reduce the equilibrium level of interest rates, since the Fed has to stimulate other parts of the economy to offset the loss of demand in capital spending in the retail sector. Anecdotal evidence is all around us. The global economy is evolving and it seems that all of the major changes are deflationary. Amazon, Airbnb, Uber, robotics, contract workers, artificial intelligence, horizontal drilling and driverless cars are just a few examples of companies and technologies that are cutting costs and depressing prices and wages. Central banks in the major advanced economies are having difficulty meeting their inflation targets, even in the U.S. where the labor market is tight by historical standards. Based on the depressed level of bond yields, it appears that the majority of investors believe that inflation headwinds will remain formidable for a long time. One school of thought is that low inflation reflects a lack of demand growth in the post-Great Financial Crisis (GFC) period. Another school points to the supply side of the economy. A recent report by Prudential Financial highlights "...obvious examples of ... new business models and new organizational structures, whereby higher-cost traditional methods of production, transportation, and distribution are displaced by more nontraditional cost-effective ways of conducting business."1 A "culture of profound cost reduction" has gripped the business sector since the GFC according to this school, permanently changing the relationship between labor market slack and wages or inflation (i.e., the Phillips Curve). Employees are less aggressive in their wage demands in a world where robots are threatening humans in a broadening array of industrial categories. Many feel lucky just to have a job. In a highly sensationalized article called "How The Internet Economy Killed Inflation," Forbes argued that "the internet has reduced many of the traditional barriers to entry that protect companies from competition and created a race to the bottom for prices in a number of categories." Forbes believes that new technologies are placing downward pressure on inflation by depressing wages, increasing productivity and encouraging competition. There are many factors that have the potential to weigh on prices, but analysts are mainly focusing on e-commerce, robotics, artificial intelligence, and the gig economy. In the first of our series on inflation, we will focus on the rise of e-commerce and the related "Amazonification" of the economy. The latter refers to the advent of new business models that cut out layers of middlemen between producers and consumers. Amazonification E-commerce has grown at a compound annual rate of more than 9% over the past 15 years, and now accounts for about 8½% of total U.S. retail sales (Chart II-1). Amazon has been leading the charge, accounting for 43% of all online sales in 2016 (Chart II-2). Amazon's business model not only cuts costs by eliminating middlemen and (until recently) avoiding expensive showrooms, but it also provides a platform for improved price discovery on an extremely broad array of goods. In 2013, Amazon carried 230 million items for sale in the United States, nearly 30 times the number sold by Walmart, one of the largest retailers in the world. Chart II-1E-Commerce: Steady Increase In Market Share E-Commerce: Steady Increase In Market Share E-Commerce: Steady Increase In Market Share Chart II-2Amazon Dominates September 2017 September 2017 With the use of a smartphone, consumers can check the price of an item on Amazon while shopping in a physical store. Studies show that it does not require a large price gap for shoppers to buy online rather than in-store. Amazon appears to be impacting other retailers' ability to pass though cost increases, leading to a rash of retail outlet closings. Sears alone announced the closure of 300 retail outlets this year. The devastation that Amazon inflicted on the book industry is well known. It is no wonder then, that Amazon's purchase of Whole Foods Market, a grocery chain, sent shivers down the spines of CEOs not only in the food industry, but in the broader retail industry as well. What would prevent Amazon from applying its model to furniture and appliances, electronics or drugstores? It seems that no retail space is safe. A Little Theory Before we turn to the evidence, let's review the macro theory related to positive supply shocks. The internet could be lowering prices by moving product markets toward the "perfect competition" model. The internet trims search costs, improves price transparency and reduces barriers to entry. The internet also allows for shorter supply chains, as layers of wholesalers and other intermediaries are removed and e-commerce companies allow more direct contact between consumers and producers. Fewer inventories and a smaller "brick and mortar" infrastructure take additional costs out of the system. Economic theory suggests that the result of this positive supply shock will be greater product market competition, increased productivity and reduced profitability. In the long run, workers should benefit from the productivity boost via real wage gains (even if nominal wage growth is lackluster). Workers may lower their reservation wage if they feel that increased competitive pressures or technology threaten their jobs. The internet is also likely to improve job matching between the unemployed and available vacancies, which should lead to a fall in the full-employment level of unemployment (NAIRU). Nonetheless, the internet should not have a permanent impact on inflation. The lower level of NAIRU and the direct effects of the internet on consumer prices discussed above allow inflation to fall below the central bank's target. The bank responds by lowering interest rates, stimulating demand and thereby driving unemployment down to the new lower level of NAIRU. Over time, inflation will drift back up toward target. In other words, a greater degree of the competition should boost the supply side of the economy and lower NAIRU, but it should not result in a permanently lower rate of inflation if inflation is indeed a monetary phenomenon and central banks strive to meet their targets. Still, one could imagine a series of supply shocks that are spread out over time, with each having a temporary negative impact on prices such that it appears for a while that inflation has been permanently depressed. This could be an accurate description of the current situation in the U.S. and some of the other major countries. We have sympathy for the view that the internet and new business models are increasing competition, cutting costs and thereby limiting price increases in some areas. But is there any hard evidence? Is the competitive effect that large, and is it any more intense than in the past? There are a number of reasons to be skeptical because most of the evidence does not support Forbes' claim that the internet has killed inflation. (1) E-commerce affects only a small part of the Consumer Price Index As mentioned above, online shopping for goods represents 8.5% of total retail sales in the U.S. E-commerce is concentrated in four kinds of businesses (Table II-1): Furniture & Home Furnishings (7% of total retail sales), Electronics & Appliances (20%), Health & Personal Care (15%), and Clothing (10%). Since goods make up 40% of the CPI, then 3.2% (8% times 40%) is a ballpark estimate for the size of goods e-commerce in the CPI. Table II-1E-Commerce Market Share Of Goods Sector (2015) September 2017 September 2017 Table II-2 shows the relative size of e-commerce in the service sector. The analysis is complicated by the fact that the data on services includes B-to-B sales in addition to B-to-C.2 However, e-commerce represents almost 4% of total sales for the service categories tracked by the BLS. Services make up 60% of the CPI, but the size drops to 26% if we exclude shelter (which is probably not affected by online shopping). Thus, e-commerce in the service sector likely affects 1% (3.9% times 26%) of the CPI. Table II-2E-Commerce Market Share Of Service Sector (2015) September 2017 September 2017 Adding goods and services, online shopping affects about 4.2% of the CPI index at most. The bottom line is that the relatively small size of e-commerce at the consumer level limits any estimate of the impact of online sales on the broad inflation rate. (2) Most of the deceleration in inflation since 2007 has been in areas unaffected by e-commerce Table II-3 compares the average contribution to annual average CPI inflation during 2000-2007 with that of 2007-2016. Average annual inflation fell from 2.9% in the seven years before the Great Recession to 1.8% after, for a total decline of just over 1 percentage point. The deceleration is almost fully explained by Energy, Food and Owners' Equivalent Rent. The bottom part of Table II-3 highlights that the sectors with the greatest exposure to e-commerce had a negligible impact on the inflation slowdown. Table II-3Comparison Of Pre- and Post-Lehman Inflation Rates September 2017 September 2017 (3) The cost advantages for online sellers are overstated Bain & Company, a U.S. consultancy, argues that e-commerce will not grow in importance indefinitely and come to dominate consumer spending.3 E-commerce sales are already slowing. Market share is following a classic S-shaped curve that, Bain estimates, will top out at under 30% by 2030. First, not everyone wants to buy everything online. Products that are well known to consumers and purchased on a regular basis are well suited to online shopping. But for many other products, consumers need to see and feel the product in person before making a purchase. Second, the cost savings of online selling versus traditional brick and mortar stores is not as great as many believe. Bain claims that many e-commerce businesses struggle to make a profit. The information technology, distribution centers, shipping, and returns processing required by e-commerce companies can cost as much as running physical stores in some cases. E-tailers often cannot ship directly from manufacturers to consumers; they need large and expensive fulfillment centers and a very generous returns policy. Moreover, online and offline sales models are becoming blurred. Retailers with physical stores are growing their e-commerce operations, while previously pure e-commerce plays are adding stores or negotiating space in other retailers' stores. Even Amazon now has storefronts. The shift toward an "multichannel" selling model underscores that there are benefits to traditional brick-and-mortar stores that will ensure that they will not completely disappear. (4) E-commerce is not the first revolution in the retail sector The retail sector has changed significantly over the decades and it is not clear that the disinflationary effect of the latest revolution, e-commerce, is any more intense than in the past. Economists at Goldman Sachs point out that the growth of Amazon's market share in recent years still lags that of Walmart and other "big box" stores in the 1990s (Chart II-3).4 This fact suggests that "Amazonification" may not be as disinflationary as the previous big-box revolution. (5) Weak productivity growth and high profit margins are inconsistent with a large supply-side benefit from e-commerce As discussed above, economic theory suggests that a positive supply shock that cuts costs and boosts competition should trim profit margins and lift productivity. The problem is that the margins and productivity have moved in the opposite direction that economic theory would suggest (Chart II-4). Chart II-3Amazon Vs. Walmart: ##br##Who's More Deflationary? September 2017 September 2017 Chart II-4Incompatible With A Supply Shock Incompatible With A Supply Shock Incompatible With A Supply Shock By definition, productivity rises when firms can produce the same output with fewer or cheaper inputs. However, it is well documented that productivity growth has been in a downtrend since the 1990s, and has been dismally low since the Great Recession. A Special Report from BCA's Global Investment Strategy5 service makes a convincing case that mismeasurement is not behind the low productivity figures. In fact, in many industries it appears that productivity is over-estimated. If e-commerce is big enough to "move the dial" on overall inflation, it should be big enough to see in the aggregate productivity figures. Chart II-5Retail Margin Squeeze ##br##Only In Department Stores Retail Margin Squeeze Only In Department Stores Retail Margin Squeeze Only In Department Stores One would also expect to see a margin squeeze across industries if e-commerce is indeed generating a lot of deflationary competitive pressure. Despite dismally depressed productivity, however, corporate profit margins are at the high end of the historical range across most of the sectors of the S&P 500. This is the case even in the retailing sector outside of department stores (Chart II-5). These facts argue against the idea that the internet has moved the economy further toward a disinflationary "perfect competition" model. (6) Online price setting is characterized by frictions comparable to traditional retail We would expect to observe a low price dispersion across online vendors since the internet has apparently lowered the cost of monitoring competitors' prices and the cost of searching for the lowest price. We would also expect to see fairly synchronized price adjustments; if one vendor adjusts its price due to changing market conditions, then the rest should quickly follow to avoid suffering a massive loss of market share. However, a recent study of price-setting practices in the U.S. and U.K. found that this is not the case.6 The dataset covered a broad spectrum of consumer goods and sellers over a two-year period, comparing online with offline prices. The researchers found that market pricing "frictions" are surprisingly elevated in the online world. Price dispersion is high in absolute terms and on par with offline pricing. Academics for years have puzzled over high price rigidities and dispersion in retail stores in the context of an apparently stiff competitive environment, and it appears that online pricing is not much better. The study did not cover a long enough period to see if frictions were even worse in the past. Nonetheless, the evidence available suggests that the lower cost of monitoring prices afforded by the internet has not led to significant price convergence across sellers online or offline. Another study compared online and offline prices for multichannel retailers, using the massive database provided by the Billion Prices Project at MIT.7 The database covers prices across 10 countries. The study found that retailers charged the same price online as in-store in 72% of cases. The average discount was 4% for those cases in which there was a markdown online. If the observations with identical prices are included, the average online/offline price difference was just 1%. (7) Some measures of online prices have grown at about the same pace as the CPI index The U.S. Bureau of Labor Statistics does include online sales when constructing the Consumer Price Index. It even includes peer-to-peer sales by companies such as Airbnb and Uber. However, the BLS admits that its sample lags the popularity of such services by a few years. Moreover, while the BLS is trying to capture the rising proportion of sales done via e-commerce, "outlet bias" means that the CPI does not capture the price effect in cases where consumers are finding cheaper prices online. This is because the BLS weights the growth rate of online and offline prices, not the price levels. While there may be level differences, there is no reason to believe that the inflation rates for similar goods sold online and offline differ significantly. If the inflation rates are close, then the growing share of online sales will not affect overall inflation based on the BLS methodology. The BLS argues that any bias in the CPI due to outlet bias is mitigated to the extent that physical stores offer a higher level of service. Thus, price differences may not be that great after quality-adjustment. All this suggests that the actual consumer price inflation rate could be somewhat lower than the official rate. Nonetheless, it does not necessarily mean that inflation, properly measured, is being depressed by e-commerce to a meaningful extent. Indeed, Chart II-6 highlights that the U.S. component of the Billion Prices Index rose at a faster pace than the overall CPI between 2009 and 2014. The Online Price Index fell in absolute and relative terms from 2014 to mid-2016, but rose sharply toward the end of 2016. Applying our guesstimate of the weight of e-commerce in the CPI (3.2% for goods), online price inflation added to overall annual CPI inflation by about 0.3 percentage points in 2016 (bottom panel of Chart II-6). There is more deflation evident in the BLS' index of prices for Electronic Shopping and Mail Order Houses (Chart II-7). Online prices fell relative to the overall CPI for most of the time since the early 1990s, with the relative price decline accelerating since the GFC. However, our estimate of the contribution to overall annual CPI inflation is only about -0.15 percentage points in June 2017, and has never been more than -0.3 percentage points. This could be an underestimate because it does not include the impact of services, although the service e-commerce share of the CPI is very small. Chart II-6Online Price Index Online Price Index Online Price Index Chart II-7Electronic Shopping Price Index Electronic Shopping Price Index Electronic Shopping Price Index Another way to approach this question is to focus on the parts of the CPI that are most exposed to e-commerce. It is impossible to separate the effect of e-commerce on inflation from other drivers of productivity. Nonetheless, if online shopping is having a significant deflationary impact on overall inflation, we should see large and persistent negative contributions from these parts of the CPI. We combined the components of the CPI that most closely matched the sectors that have high e-commerce exposure according to the BLS' annual Retail Survey (Chart II-8). The sectors in our aggregate e-commerce price proxy include hotels/motels, taxicabs, books & magazines, clothing, computer hardware, drugs, health & beauty aids, electronics & appliances, alcoholic beverages, furniture & home furnishings, sporting goods, air transportation, travel arrangement and reservation services, educational services and other merchandise. The sectors are weighted based on their respective weights in the CPI. Our e-commerce price proxy has generally fallen relative to the overall CPI index since 2000. However, while the average contribution of these sectors to the overall annual CPI inflation rate has fallen in the post GFC period relative to the 2000-2007 period, the average difference is only 0.2 percentage points. The contribution has hovered around the zero mark for the past 2½ years. Surprisingly, price indexes have increased by more than the overall CPI since 2000 in some sectors where one would have expected to see significant relative price deflation, such as taxis, hotels, travel arrangement and even books. One could argue that significant measurement error must be a factor. How could the price of books have gone up faster than the CPI? Sectors displaying the most relative price declines are clothing, computers, electronics, furniture, sporting goods, air travel and other goods. We recalculated our e-commerce proxy using only these deflating sectors, but we boosted their weights such that the overall weight of the proxy in the CPI is kept the same as our full e-commerce proxy discussed above. In other words, this approach implicitly assumes that the excluded sectors (taxis, books, hotels and travel arrangement) actually deflated at the average pace of the sectors that remain in the index. Our adjusted e-commerce proxy suggests that online pricing reduced overall CPI inflation by about 0.1-to-0.2 percentage points in recent years (Chart II-9). This contribution is below the long-term average of the series, but the drag was even greater several times in the past. Chart II-8BCA E-Commerce Proxy Price Index BCA E-Commerce Proxy Price Index BCA E-Commerce Proxy Price Index Chart II-9BCA E-Commerce Adjusted Proxy Price Index BCA E-Commerce Adjusted Proxy Price Index BCA E-Commerce Adjusted Proxy Price Index Admittedly, data limitations mean that all of the above estimates of the impact of e-commerce are ballpark figures. Conclusions We are keeping an open mind and reserving judgement on the disinflationary impact of robotics, artificial intelligence and the gig economy until we do more research. But in terms of the impact of e-commerce, it is difficult to find supportive evidence. The available data are admittedly far from ideal for confirming or disproving the "Amazonification" thesis. Perhaps better measures of e-commerce pricing will emerge in the future. Nonetheless, the measures available today do not suggest that online sales are depressing the overall inflation rate by more than 0.1 or 0.2 percentage points, and it does not appear that the disinflationary impact has intensified by much. One could argue that lower online prices are forcing traditional retailers to match the e-commerce vendors, allowing for a larger disinflationary effect than we estimate. Nonetheless, if this were the case, then we would expect to see significant margin compression in the retail sector. The sectors potentially affected by e-commerce make up a small part of the CPI index. The deceleration of inflation since the GFC has been in areas unaffected by online sales. High corporate profit margins and depressed productivity growth also argue against the idea that e-commerce represents a large positive macro supply shock. Finally, today's creative destruction in retail may be no more deflationary than the shift to 'big box' stores in the 1990s. Perhaps the main way that e-commerce is affecting the macro economy and financial markets is not through inflation, but via the reduction in the economy's capital spending requirement. Rising online activity means that we need fewer shopping malls and big box outlets to support a given level of consumer spending. This would reduce the equilibrium level of interest rates, since the Fed has to stimulate other parts of the economy to offset the loss of demand in capital spending in the retail sector. To the extent that central banks were slow to recognize that equilibrium rates had fallen to extremely low levels, then policy was behind the curve and this might have contributed to the current low inflation environment. Mark McClellan Senior Vice President The Bank Credit Analyst 1 Robert F. DeLucia, "Economic Perspective: A Nontraditional Analysis Of Inflation," Prudential Capital Group (August 21, 2017). 2 Business to business, and business to consumer. 3 Aaron Cheris, Darrell Rigby and Suzanne Tager, "The Power Of Omnichannel Stores," Bain & Company Insights: Retail Holiday Newsletter 2016-2017 (December 19, 2016). 4 "US Daily: The Internet And Inflation: How Big Is The Amazon Effect?" Goldman Sachs Economic Research (August 2, 2017). 5 Please see Global Investment Strategy Weekly Report, "Weak Productivity Growth: Don't Blame The Statisticians," dated March 25, 2016, available at gis.bcaresearch.com 6 Yuriy Gorodnichenko, Viacheslav Sheremirov, and Oleksandr Talavera, "Price Setting In Online Markets: Does IT Click?" Journal of the European Economic Association (July 2016). 7 Alberto Cavallo, "Are Online And Offline Prices Similar? Evidence From Large Multi-Channel Retailers," NBER Working Paper No. 22142 (March 2016).

Cisco Systems, the communications equipment index heavyweight, reported tough quarterly results that highlighted the issues continuing to strain the industry. Revenues have continued to fall as telecom carriers, the key customer group, remain engaged in a deflationary price war (second panel) which has been exacerbated by U.S. federal government spending uncertainty; management guided to more of the same next quarter. Encouragingly, margins have improved despite sliding sales, evidence of solid cost control. This should (eventually) result in outsized profits when revenues turn the corner. On that front, telecom services providers have made significant progress in slowing the rate of decline in sales (third panel). Still, inventories & production have been diverging in an unhealthy direction (bottom panel) which could herald a liquidation phase, rendering the progress on margins unsustainable. We think the risks to profitability, combined with ongoing top line shrinkage, will keep investors away. Stay underweight. The ticker symbols for the stocks in this index are: BLBG: S5COMM - CSCO, HRS, MSI, JNPR, FFIV. Too Soon To Get Back Into Communications Equipment Too Soon To Get Back Into Communications Equipment

Feature Visions abound of a dystopia in which Artificial Intelligence (AI) obsoletes all human jobs. In these visions, mankind becomes a subservient sideshow in a world run by robots. But while such dystopian visions make excellent narratives for Hollywood blockbusters, the chance they become a reality is nil. Technological progress is nothing new. Each generation feels it is experiencing unprecedented disruptive changes, but the constant march of technological progress has defined humanity for centuries, or even millennia. In the process, innovation has already obsoleted countless occupations. Where are today's lamplighters, ostlers,1 livery-stable keepers, newspaper criers and boiler firemen? In 1910, one third of the labour force worked on farms,2 with many of these workers tending animals; today, those proportions are near zero. In 1950, one fifth of the workforce was a machine or vehicle operative; today, that proportion is less than a tenth. More recently, in 1970, over 5% of workers were 'stenographers, typists or secretaries'; again today, most of those jobs have vanished. Yet this mass of job obsolescence has not created mass unemployment. The reason is that an advancing economy creates as many new jobs to replace the obsoleted jobs (Feature Chart and Chart I-2). In 1910, less than 5% of workers were in 'professional or technical' jobs; today the category employs over a quarter of workers. In 1950, healthcare employed 2% of workers; today it employs 8%. Moreover, the nature of many of today's jobs might have been unimaginable just a few decades ago. The rapidly growing employment sector 'medical and dental technicians' did not even exist before 1950. In the same way, the precise type of jobs that will see very strong growth in the coming years and decades might be unimaginable today. Feature ChartTechnological Progress In The 20th ##br##Century Destroyed Many Jobs... Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes Feature Chart...But Created As ##br##Many New Jobs Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes Chart I-2Nothing New: Technological Progress Always ##br##Involves Job Destruction And Creation Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes Say's Law Tells Us That Robots Will Not Kill Job Growth Technological progress has not killed job growth. Nor will it. This is because firms choose to replace human workers with machines only if it increases their productivity and profitability (Charts I-3, Chart I-4, Chart I-5). The higher productivity increases the ability to purchase other goods and services - thereby creating jobs elsewhere in the economy (Chart I-6), often in new and surprising industries. Chart I-3Machine And Vehicle Operative ##br##Work Peaked In The 50s Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes Chart I-4Secretarial Work Peaked ##br## In The 70s Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes Chart I-5Clerical Work Peaked##br## In The 80s Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes Chart I-6Healthcare Work Is In##br## A Strong Uptrend Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes This is the idea introduced in 1803 by French economist Jean-Baptiste Say, called Say's Law: The producer of X is able to buy Y, if his products are demanded. Thereby, supply of X creates demand for Y, as long as people wish to buy X. A producer replaces human workers with machines to generate his output at higher profit, enabling him to demand new goods and services that he desires. Crucially, human desires are varied, ever changing and ultimately unlimited. Satisfying those unlimited desires creates new economies and jobs. In this way, technological progress often paves the way for completely new and unrelated goods and services. It creates whole new industries. To give just one example, railways spawned the frozen food industry. The frozen food industry satisfied the human desire to eat fresh food - which railways could now transport (frozen) to cities from distant farms and fisheries. In real time though, it was difficult to connect the advent of railways with the birth of the frozen food industry. Likewise, today it is hard to know precisely which new economies, markets and associated jobs the current new technologies will spawn. Nevertheless, a new technology's disruptive effect on an economy does depend on the broad type of job it destroys versus the broad type of job it creates. Consider a stylized economy with three types of job: a high-income innovator, a middle-income manufacturer, and a low-income animal tender. And imagine two scenarios. Scenario 1: the innovator invents a machine that obsoletes the low-income animal tender. Having replaced the animal tender with a more productive machine, the innovator will use his higher income to satisfy additional desires for manufactured goods. This enables the obsoleted animal tender to retrain and make a better living as a middle-income manufacturer. Scenario 2: the innovator instead invents a machine that obsoletes the middle-income manufacturer. In this case, the innovator will use his higher income to satisfy additional desires for animal tending services. The obsoleted manufacturer must now make a living as a low-income animal tender. So while the innovator sees a rise in his standard of living, the outcome for the unfortunate middle-income manufacturer is a massive deflation in pay. It is our strong contention that whereas previous waves of technological progress looked like scenario 1, the current and forthcoming impact of AI looks more like scenario 2. In other words, robots will kill middle-income jobs rather than low-income jobs. And the reason comes from a discovery called Moravec's Paradox.3 Moravec's Paradox Tells Us That Robots Will Kill Middle Income Jobs Moravec's Paradox is a counterintuitive discovery by robotics researchers that, for AI, the hard problems are easy and the easy problems are hard: High-level reasoning - such as logic and algebra - requires very little computation, but supposedly low-level sensorimotor skills - such as mobility and perception - require vast computational resources. Logic and algebra are considered difficult for humans, a supposed sign of intelligence. Jobs that require them are relatively well paid. Conversely, basic mobility and perception are considered innate. Jobs that rely on them are relatively poorly paid. But from an evolutionary perspective, high-level reasoning is very recent, maybe less than 100 thousand years old. This explains why it seems un-mastered and requires conscious effort. Conversely, evolution has honed and perfected our mobility and perception skills over tens of millions of years. So those low-level skills are subconscious and effortless. As AI is, in effect, just reverse-engineering the brain, the difficulty of any task for AI is roughly proportional to the amount of time it has taken for nature to evolve and encode it in the human brain. Therefore, the 100 thousand year old 'high-level' skills like logic and algebra are relatively easy for AI to replicate and even surpass, whereas the 10 million year old 'low-level' skills like mobility and perception are extremely difficult to replicate. It follows that the jobs that AI can easily replicate and replace are those that require recently evolved skills like logic and algebra. They tend to be middle-income jobs. Conversely, the jobs that AI cannot easily replicate are those that rely on the deeply evolved skills like mobility and perception. They tend to be lower-income jobs. Hence, the current wave of technological progress is following scenario 2. AI is hollowing out middle-income jobs and creating lots of lower-income jobs. Put another way: Say's Law + Moravec's Paradox = Strong Job Creation + Middle Income Wage Depression Is there any evidence of this? Yes, in the United States where the job creation data is a lot more granular than in Europe, the strongest growing employment sub-sector for many years has been 'Food Services And Drinking Places' (Table I-1 and Chart I-7). In other words, bartenders and waiters - classic low-income jobs requiring mobility and perception. Meanwhile, job losses have been concentrated in middle-income occupations. Table I-1Which Sectors Are Seeing ##br##The Job Growth? Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes Chart I-7Bartenders And Waiters Is The Fastest ##br##Growing Employment Sector! Bartenders And Waiters Is The Fastest Growing Employment Sector! Bartenders And Waiters Is The Fastest Growing Employment Sector! Stronger evidence comes from the weakening Phillips curve relationship between unemployment and wage inflation. In many economies, unemployment rates are hitting multi-decade lows, yet wage inflation remains dormant. This has baffled many economists, but it shouldn't. Moravec's Paradox tells us that strong job creation is at the lower-income end of the employment distribution. So a weakening Phillips curve relationship is exactly what we should see. Moreover, as the economic impacts of AI are still in their infancy, the trends we are seeing now have much further to run. The major investment takeaway is that the structural backdrop for bonds is benign. But with the ECB about to end its ultra-accommodation, bond investors should tilt their long-term exposure towards non-euro area government bonds. A New Investment Theme: Animal Care Chart I-8Animal Care: Strong And Steady Growth Animal Care: Strong And Steady Growth Animal Care: Strong And Steady Growth Despite the on-going disruption to many middle-income jobs, developed economies have grown and will continue to grow. But as we said, economic growth can come through new and surprising industries. The early identification of such industries can create excellent investment opportunities. So we will end this report by introducing an idea. In our stylized scenario 2 we said that the innovator would use his higher income to satisfy additional desires for animal tending services. As it happens, we are witnessing this precise phenomenon today. The demand for animal tending services, such as dog walking, is booming. We fully expect the animal and pet care industry to remain one of the strongest growth sectors in developed economies (Chart I-8). The strong uptrend will be supported by three sub-themes. First, increased pet ownership among wealthy retiring baby boomers. Second, a lower birth rate means that pets are becoming a substitute for a child. Third, the 'humanization of animals': as pets become regarded as equal members of the family, spending on their welfare rises accordingly. We expect to develop this long-term theme in future reports. But today, we are starting our Animal Care basket with 3 initial stocks (Table I-2). Table I-2The Animal Care Basket Why Robots Will Kill Middle Incomes Why Robots Will Kill Middle Incomes Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com 1 An ostler was a man employed to look after the horses of people staying at an inn. 2 Based on U.S. data. 3 Named after the robot engineer Hans Moravec. Fractal Trading Model There are no new trades this week. The short CAC40 / long Eurostoxx600 position reached the end of its 65 day term achieving half of its profit target, while the long DM / short EM position hit its stop-loss. This leaves three open positions. For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment's fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. Chart I-9 Short CAC40 / Long EUROSTOXX600 Short CAC40 / Long EUROSTOXX600 The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions. * For more details please see the European Investment Strategy Special Report "Fractals, Liquidity & A Trading Model," dated December 11, 2014, available at eis.bcaresearch.com Fractal Trading Model Recommendations Equities Bond & Interest Rates Currency & Other Positions Closed Fractal Trades Trades Closed Trades Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch##br## - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations

Dear Client, Over the next three weeks, much of BCA’s Geopolitical Strategy team will be traveling in Australia, New Zealand, and Asia. As such, we are taking this week off from publication and will return to our regular schedule next week. In lieu of our regular missive, we are sending you the following Special Report, penned by our colleagues in the BCA Technology Sector Strategy. The report, originally published on May 16, tackles “The Coming Robotics Revolution” in an innovative way that aligns with our own views. Clients often ask us what will be the political consequences of the revolution in artificial intelligence and robotics. Our answers are controversial because we strongly disagree with the conventional, Terminator-inspired, doom and gloom. Brian Piccioni and Paul Kantorovich agree with us, which is reassuring given that they understand the technology behind robotics far better than we do. I hope you enjoy the enclosed report and encourage you to seek out the insights of our Technology Sector Strategy. Kindest Regards, Marko Papic, Senior Vice President Chief Geopolitical Strategist Feature "The amount of technology coming at us in the next five years is probably more than we've seen in the last 50" Mark Franks, Director Of Global Automation at General Motors, Bloomberg News, April 2017 There is good reason to believe we are at the cusp of a Robot Revolution which will have a dramatic impact on our economy. Robots have been around for decades or centuries, depending on the definition. Past robots were either fixed in place, as in the case of factory robots, or supervised by operators that are near the robot, or connected through telemetry. In contrast, the robots that are coming will not be fixed in place, and will be able to perform their functions without a human operator. This opens up massive markets for robots in industry (cutting lawns, cleaning windows, delivering parcels, etc.) and, most significantly, consumer applications. Part 1: Robots - Industrial Revolution To Early 21st Century The term "robot" can have different meanings. The most basic definition is "a device that automatically performs complicated and often repetitive tasks,"1 a definition which encompasses a broad range of machines: from the Jacquard Loom,2 which was invented over 200 years ago, on to Numerically Controlled (NC) mills and lathes, pick and place machines used in the manufacture of electronics, Autonomous Vehicles (AVs), and even homicidal robots from the future such as the Terminator. For much of history, most of the labor force was involved with the production of food: over 50% of the U.S. labor force was involved in agriculture until the late 1800s (Chart 1). Agriculture has benefitted immensely from automation as inventions such as the McCormick Reaper (a wheat cutting machine pulled by horses), the cotton gin, and other mechanical systems displaced human effort. Steam and then internal combustion-powered tractors, which can be viewed as "robotic horses," accelerated the process, as engines delivered much more power more cost effectively than mechanical devices (Chart 2). This massively improved productivity: within 20 years from 1830 to 1850, the labor to produce 100 bushels of wheat dropped from 250-300 to 75-90 hours, and by 1955 it only took 6 ½ hours of labor for a net reduction of 97.5% in 125 years.3 Chart 1Farm Workers Were Disrupted In The Late 19th Century The Coming Robotics Revolution The Coming Robotics Revolution Chart 2...And So Were Horses The Coming Robotics Revolution The Coming Robotics Revolution In other words there is nothing new about automation displacing workers while improving productivity, nor is a rapid displacement unprecedented. The industrial revolution was about replacing human craft labor with capital (i.e. machines), which did high-volume work with better quality and productivity. This freed humans for work which had not yet been automated, along with designing, producing, and maintaining the machinery. Automation Frightens People Although automation is nothing new, it has always engendered anxiety among workers. The anxiety boils down to concern for continued employment as well as fear of the technology itself. We discuss below why Artificial Intelligence (AI) does not present the sort of threat to humanity or even employment that seems to be the consensus view at the moment. Will Robots Become Self-Aware? We have covered the topic of Artificial Intelligence/Deep Learning as it relates to sentient/self-aware machines in some detail in our October 18, 2016 Special Report on Artificial Intelligence. In summary, most of the discussion surrounding AI is misinformation. Although AI uses algorithms called "artificial neural networks," which are extremely useful for solving certain classes of problems, these are nothing like biological neural networks. There is no reason whatsoever to believe AI technology in its current form can become sentient, or even meaningfully intelligent, and that will not change with increased computing power. Furthermore, whether or not AI can arise to the level of a threat, there is no current or imagined power source which could keep a rampaging robot active for more than a few hours. The Terminator would have been much less threatening if he required frequent recharging. Will Robots Make Human Workers Irrelevant? Automation in agriculture occurred rapidly enough to be felt by workers at the time - and yet there were no marauding hordes of unemployed hay cutters or cowboys. Improved productivity meant markets were opened which did not previously exist, and unemployed agricultural workers moved to factory work. Media coverage of automation tends to focus on the potential job losses without mentioning the fact that the economy and its workers adapt, and overall living standards generally improve (Chart 3). Technology has displaced entire classes of jobs very rapidly in the recent past, and many products such as smartphones would be extremely difficult to assemble if the work was done by hand. Box 1 provides several other examples. Yet as is usual for many things that have happened multiple times in the past, we are told "this time is different." Chart 3The Industrial Revolution Led To A Vast Improvement In Living Standards The Industrial Revolution Led To A Vast Improvement In Living Standards The Industrial Revolution Led To A Vast Improvement In Living Standards Box 1 Automation Displaced Entire Classes Of Jobs In The Recent Past, But Brought Enormous Benefits Before calculators and word processors were available, writing and mathematical calculations were done manually. Machines such as calculators and type writers enhanced productivity, eliminating many such jobs. Software applications such as Microsoft Word and Excel further accelerated this process. Not that long ago, welding was entirely a manual job but now most welding in factories is done by robots: you can usually tell a human weld on a mass produced product by its poor quality. Robots in the modern factory have freed up workers for other roles in the economy just as the massive loss of agricultural jobs in the 20th century did. Many modern electronic products such as smartphones would be extremely difficult to assemble if the work was done by hand, as the components are so small they require microscopes to manipulate. Even if it were possible to hand assemble a smartphone, it would take hours of manual labor to produce, and the quality would be very poor. The use of automation means that smartphones cost a few hundred dollars instead of a few thousand dollars and are affordable enough to be a mass market item. Some of the anxiety around automation-related job losses centers on the possibility that this time, robots will displace workers from the service and white-collar sectors. BCA's European Investment Strategy service has written about the potential for AI to replace jobs involving tasks that require specialized education and training, such as calculating credit scores or insurance premiums, or managing stock portfolios.4 Recent developments in AI (specifically deep learning algorithms) have allowed computers to solve pattern recognition problems that they could not previously solve. However, we do not believe AI in its current form poses a widespread risk to white collar employment for the following reasons: Both service-sector and white collar employees have been subject to replacement through automation already, and the economy has adapted: ATMs are robot bank tellers, self-checkout lanes are robot checkout kiosks, and "smart" gas and electric meters that can be read remotely replace human meter readers. The legal profession has been transformed by Google searches and the accounting business by accounting software. These tools allow certain clients to avoid the use of a lawyer or accountant altogether (for example in setting up a corporation or doing bookkeeping), or allow a firm to employ less skilled workers for the task. We can offer numerous other examples of white collar jobs which have been fully or partially automated over the past couple decades. In addition, recall that AI produces high probability answers which turn out to be wrong, and it requires a lot of subject specific training. Both of these are intrinsic to the implementation of the algorithm. In contrast, humans generally are much better at assigning confidence to decisions and train very rapidly because they have cross-expertise AI lacks. An implementation of AI has to meet BOTH of the following conditions to be successful: There has to be a lot of subject-specific data available A high probability assigned to a wrong answer is either inconsequential or can be easily overruled by a human It is also important to note that although AI may reduce the demand for accountants, insurance agents, credit analysts and other skilled professionals, these are exactly the sort of people that can handle retraining. Part 2: What Makes Upcoming Robots Revolutionary Upcoming robots will be different because they will not be confined to the factory floor. We believe this is a key transition point, and that the next 20 years or so will see as dramatic a change from robotics as was caused by the Internet. Factory robots have improved immensely due to cheaper and more capable control and vision systems. Early robots performed very specific operations under carefully controlled conditions -an assembly robot which encountered a misaligned component would simply install it that way, resulting in a defective product. Eventually vision systems were developed which allowed robots to adjust to varying conditions. As camera and computing costs continue to decline, vision systems are becoming more elaborate and useful, as they gather and process more information to make increasingly complex decisions. As these systems evolve, the abilities of robots to move around their environment while avoiding obstacles will improve, as will their ability to perform increasingly complex tasks. Mobile robots will likely rely on AI to make many decisions. In order to be cost effective, for many years AI will likely be hosted in cloud data centers. This is especially the case for consumer robots, which will have to be highly capable and yet cost effective. We discuss the implications for cloud services providers in more detail in Part 3: Investment Implications. We May Be Entering A 'Virtuous Cycle' In Robotics Improvements to one domain of robotic applications can be generally applied to others. Robotics technology is concurrently moving forward on many fronts ranging from the aforementioned vacuum cleaners, lawnmowers, and logistics robots, to medical orderlies,5 farm tractors,6 mining equipment,7 transport trucks,8 and cargo ships.9 Despite enormous differences in cost and value added, all of these applications are solving essentially the same problem. As with any other technological revolution, advances between different fields in robotics will be adapted, borrowed, extended and enhanced. This, in turn, creates opportunities for ever more applications, creating a virtuous cycle (Diagram 1). Diagram 1Robotics Will Enter Into A Virtuous Cycle The Coming Robotics Revolution The Coming Robotics Revolution There are few tasks which cannot be automated, but there is a definite cost-benefit tradeoff for each one. For example, a golf course may consider spending $25,000 for a robotic lawnmower, however costs were closer to $70 - $90,000 in 2015,10 and installed cost is even higher.11 Because the incremental cost of the machines is comprised of electronics, which will drop in price rapidly, it is probably a matter of another 2 or 3 years before the price moves to the point where mass adoption by groundskeepers begins. The same improvements to industrial lawnmowers will lead to more useable, albeit still pricy, consumer models which will probably enter mass market adoption 5 to 10 years from now. The same argument can be made for almost any manual chore ranging from cleaning the carpet to delivering parcels. We predict the virtuous cycle for robots will span several decades. As the cost of automation drops, better solutions will be developed, resulting in 'early retirement' of dated but otherwise fully functional robotic systems. This is the opposite of the Feature Saturation phenomenon currently present in the smartphone and PC industries - though feature saturation will eventually hit robots as well. A Self-Driving Car Is A Robot The most important robotics technology, from a macroeconomic perspective, is the rapidly advancing field of Autonomous Vehicles (AVs). The automobile industry is a significant part of the global economy, so changes in this industry will have profound implications. We covered AVs in detail in our April 8, 2016 Special Report. Due to technical and legal obstacles that must be overcome, a vehicle which can safely travel from point to point on major roads and city streets without driver intervention is probably 20 years away, +/- 5 years. The macro impact, however, will occur much sooner than that, due to the technologies developed on the way to full AVs. Vehicles are already offering features such as forward collision warning, autobrake, lane departure warning, lane departure prevention, adaptive headlights, and blind spot detection.12 Although we have only touched the surface, robotics are being applied across many industries, making even seemingly modest advances significant when measured in aggregate, as small changes in one industry are quickly adapted by other industries. It is noteworthy that this transition will likely occur during a period where demographic shifts, in particular in the most developed economies, signal the potential for labor shortages, or at least increasing cost of labor (Chart 4).13, 14 Robots may be showing up in the nick of time to improve both the economy and quality of life in the developed world. Chart 4Advances In Robotics Will Counter Adverse##br## Demographic Trends Advances In Robotics Will Counter Adverse Demographic Trends Advances In Robotics Will Counter Adverse Demographic Trends Part 3: Investment Implications The semiconductor industry has stagnated as the PC and smartphone markets entered a largely replacement-driven era (Chart 5). Although it may not be evident until the virtuous cycle is fully engaged, robotics represents another up-leg in demand for semiconductors and therefore should result in a significant improvement to industry growth rates. There is little opportunity for startup semiconductor companies nowadays due to the high costs of developing a new chip. Well positioned, established, semiconductor companies will be the primary beneficiaries of the robotics revolution. Large firms that attempt to fit their existing product offering into the industry (e.g. by remaining PC or mobile-phone centric) will fall behind. Winners System on a Chip (SoC) Vendors: Robotics hardware will more likely be implemented as "System on a Chip" (SoC) as this provides the greatest functionality with lowest cost and power consumption. SoCs generally consist of a variety of Intellectual Property (IP) "cores" which may be licensed from third parties. Typically, IP cores consist of a microprocessor and various specialized subsystems, depending on the application. Robotics SoCs are likely to include Digital Signal Processing (DSP) or Image Processing cores to process sensor data. SoC vendors who target or encourage robot development, such as Overweight-rated Texas Instruments, are likely to be favored by early movers in the space.15 We believe it is a matter of time before Graphics Processors (GPUs) currently used in AI/Deep Learning are replaced by processors specifically designed for AI, which will be cheaper and more power efficient.16 This is one of the reasons for our Underweight rating on Nvidia. Semiconductor Foundries, Mixed Signal and Automotive Semiconductor Vendors: This environment will favor the merchant semiconductor foundries which manufacture most SoCs. In addition, firms with "mixed signal" expertise will experience increased demand for motor controls, sensor interfaces, etc. As robotics features are added to automobiles, demand for automotive semiconductors should outpace that in other sectors. A significant degree of commonality in the parts and systems used in advanced automobiles will be used in other mobile robots, so "automotive" semiconductor demand should significantly outpace automobile sales. Sensor Vendors: Robots need a variety of sensors, depending on the application. Unlike factory floor robots which can make do with cameras, mobile robots will require advanced radar, ultrasound, laser scanning and other sensor types in order to provide redundancy and cope with weather and other related issues. Important sensors on prototype AVs are currently made in low volumes and are extremely expensive. Due to the number of sensors involved, we believe there is significant opportunity for companies offering aggressive cost reduction in sensor technology. Wireless Equipment and Service Providers: Most robotic systems will include some degree of wireless connectivity and participate in the "Internet of Things" (IoT). This will present challenges and opportunities for wireless equipment and service providers,17, 18 as networks will have to adapt to increased upload bandwidth (from robot to carrier) as well as novel billing schemes. Coverage will also have to be expanded to accommodate AVs as it is non-existent or spotty in large stretches of North American roadways. Not being able to check Facebook between two cities is one thing, losing your robot driver is much more serious. Our recent downgrade of Cisco to Underweight19 may appear inconsistent with the analysis above. However, the company's valuation is extremely elevated and revenues are declining (Chart 6). Any benefit Cisco will derive from investment into wireless infrastructure is several years out, and open-source hardware initiatives are gaining momentum.20 For that reason, we see the risks as outweighing the opportunities at the moment for the company. Chart 5Long Replacement Cycles Mean Slower ##br##Semiconductor Sales Long Replacement Cycles Mean Slower Semiconductor Sales Long Replacement Cycles Mean Slower Semiconductor Sales Chart 6Cisco's Stock Price Is Close To Tech Bubble##br## Levels Despite Declining Revenue Cisco's Stock Price Is Close To Tech Bubble Levels Despite Declining Revenue Cisco's Stock Price Is Close To Tech Bubble Levels Despite Declining Revenue Cloud Service Providers: Most robots will be on line and some will likely use cloud services to offload computational effort and minimize cost. A relatively "dumb" robotic lawnmower which offloads control to a shared computational resource in the cloud would probably be cheaper than a much more capable fully autonomous system. This will increase demand for cloud services, however the challenge of declining margins (due to increased competition in the space) will offset cloud services revenue growth somewhat in the long term. On balance, Overweight-rated Microsoft and Alphabet/Google, as well as Amazon, stand to benefit. Chart 7Eastman Kodak Tried To Ignore The Shift ##br##To Digital Cameras Eastman Kodak Tried To Ignore The Shift To Digital Cameras Eastman Kodak Tried To Ignore The Shift To Digital Cameras Losers We believe companies who ignore the robotics revolution will find themselves at a significant competitive disadvantage. This is not unprecedented in the technology sector: Digital Equipment Corporation (DEC) and Kodak vanished because their business models could not accommodate an obvious shift in their core markets (Chart 7). Similarly Intel and Microsoft completely missed the smartphone revolution. As we noted in our April 8, 2016 Special Report on AVs, the frequency and severity of crashes will decrease dramatically which will lead to reduced insurance rates, fewer repairs, and less money spent on accident related healthcare and rehabilitation. The economic losses of automobile crashes were estimated $871 billion in the US in 201021 and even a modest reduction in the frequency and severity of collisions due to partial automation would have a significant economic impact. "Dumb" Auto Parts Manufacturers: Fewer collisions will result in fewer repairs to people or vehicles. Auto parts manufacturers will fall into two camps: those with significant expertise in robotics will prosper, while those without such expertise will fall behind as the demand for replacement components (fenders, bumpers, doors, windshields, etc.) will decline. AVs are also likely to include advanced diagnostic and service reminder systems which will result in more timely service, reducing wear and tear on internal components as well. The Auto Insurance Industry: While it is doubtful robotics will ever eliminate auto accidents, the rate might be reduced to such a level that the auto-insurance industry, worth $157 billion in the US alone,22 will be much smaller in 20 years than it is today. This will be offset to a degree by greater demands for product liability insurance for AVs and robots in general. Brian Piccioni, Vice President Technology Sector Strategy brianp@bcaresearch.com Paul Kantorovich, Research Analyst paulk@bcaresearch.com 1 http://www.merriam-webster.com/dictionary/robot 2 http://www.computersciencelab.com/ComputerHistory/HistoryPt2.htm 3 https://www.agclassroom.org/gan/timeline/farm_tech.htm 4 Please see European Investment Strategy Special Report, "Female Participation: Another Mega-Trend," dated April 6, 2017, available at eis.bcaresearch.com. 5 http://www.tomsguide.com/us/Forth-Valley-Royal-Robots-Serco-Medicine,news-7124.html 6 http://modernfarmer.com/2013/04/this-tractor-drives-itself/ 7 http://www.asirobots.com/mining/ 8 http://www.theaustralian.com.au/business/powering-australia/rio-rolls-out-the-robot-trucks/story-fnnnpqpy-1227090421535 9 http://www.bloomberg.com/news/articles/2014-02-25/rolls-royce-drone-ships-challenge-375-billion-industry-freight 10 http://techon.nikkeibp.co.jp/english/NEWS_EN/20141210/393619/ 11 http://www.golfcourseindustry.com/article/do-robotic-mowers-dream-of-electric-turf/ 12 http://www.iihs.org/iihs/topics/t/crash-avoidance-technologies/topicoverview 13 http://gbr.pepperdine.edu/2010/08/preparing-for-a-future-labor-shortage/ 14 http://www.imf.org/external/pubs/ft/fandd/2013/06/das.htm 15 http://www.ti.com/corp/docs/engineeringChange/robotics.html 16 Please see Technology Sector Strategy Weekly Report, "Google - AI And Cloud Strategy," dated April 25, 2017, available at tech.bcaresearch.com. 17 http://www.fiercemobileit.com/press-releases/gartner-says-internet-things-will-transform-data-center 18 http://www.computerworld.com/article/2886316/mobile-networks-prep-for-the-internet-of-things.html 19 Please see Technology Sector Strategy Weekly Report, "Networking Equipment Update ," dated March 28, 2017, available at tech.bcaresearch.com. 20 http://www.businessinsider.com/att-white-box-test-should-scare-cisco-juniper-2017-4 21 http://www.nhtsa.gov/About+NHTSA/Press+Releases/2014/NHTSA-study-shows-vehicle-crashes-have-$871-billion-impact-on-U.S.-economy,-society 22 http://www.bloomberg.c/bw/articles/2014-09-10/why-self-driving-cars-could-doom-the-auto-insurance-industry