Sectors

Underweight The S&P hotels, resorts and cruise lines index had a remarkable run between 2016 and 2017, handily outperforming the S&P 500 (top panel). We downgraded the index to underperform in September of last year as the resulting valuation multiple spike (second panel) was unjustified in the context of weakening pricing, higher capital outlays and soaring input costs (third and fourth panels). Our sector EPS model captures these (and other) variables, pointing to the steepest downturn in profitability since the Great Recession (bottom panel). This stands in marked contrast to the overall market that is slated to grow EPS by roughly 20% according to our SPX EPS growth model. Accordingly, we reiterate our underweight recommendation for 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, NCLH. Hotel Earnings Should Prove Fleeting Hotel Earnings Should Prove Fleeting

Highlights Despite having the largest negative return of major markets during the global equity market correction, China's investable stock selloff appears to be normal after controlling for its risk characteristics. Taken together, the association between the global correction and volatility/valuation should be viewed as a sharp reduction in complacency in the market. Several factors make us cautious about China's outsized tech sector exposure in a world of reduced complacency. We recommend that investors retain cyclical exposure to investable Chinese stocks while neutralizing exposure to the tech sector. Feature Chart 1An Average Size, But Very Rapid, ##br##Global Selloff An Average Size, But Very Rapid, Global Selloff An Average Size, But Very Rapid, Global Selloff Global equities have sold off quite sharply since the end of January, having declined a total of 9% in US$ terms from their January 26 high to last Friday's close (Chart 1). BCA addressed the rout in a Special Report last week,1 and noted that strong economic growth and positive earnings surprises are likely to keep the global equity bull market intact, a view largely supported by this week's stock market behavior. Still, the report also highlighted that investors need to adjust to the fact that realized volatility is likely to sustainably rise, even if forward-looking volatility measures (such as the VIX in the U.S.) are currently too elevated. More generally, we equate the return of volatility with a reduction in complacency, and in this week's report we explore the implications of lower complacency for investors with an overweight allocation towards Chinese equities. Our judgement is that the complacency risk for China's ex-tech equity market is low, but that the same cannot be said for China's technology stocks. We conclude by recommending two trades that investors can employ to retain cyclical exposure to investable Chinese stocks, but with a neutralized exposure to the tech sector. Normal Underperformance For China Chart 2At First China Appears To Be Among ##br##The Worst Performers... After The Selloff: A View From China After The Selloff: A View From China At first blush, China's investable stock market fared quite poorly during the global stock market correction. Chart 2 lists 21 major country stock markets by the magnitude of their decline in US$ terms and highlights that China's selloff ranks at the very top of the list. But a simple comparison of stock market performance is misleading, as it fails to adjust for the different degrees of riskiness that are normally observed across global equity markets. For example, it is well known that emerging market equities have tended to be high beta relative to global stocks over the past decade, and we noted in a recent Special Report that Chinese investable stocks have become high beta even relative to emerging markets. In order to properly compare the performance of these markets during the global stock market selloff, we rely on the concept of "abnormal return" that is often employed in event study analysis. This approach involves calculating a counterfactual "normal" return for each market based on its rolling 1-year alpha and beta versus global stocks prior to the selloff, and then comparing it to the actual return. This difference, the "abnormal return" of each market, is shown in Chart 3, which highlights that China's performance during the selloff was perfectly normal after controlling for its risk characteristics. In fact, Chart 3 shows that many equity markets outperformed on a risk-adjusted basis, highlighting that the magnitude of the selloff in global stocks could actually have been worse. As for the underlying cause of the selloff, we showed in last week's Special Report that a crowded "short volatility" trade was undoubtedly a driving force: Chart 4 highlights that net long speculative positions on the VIX had fallen to a new low over the past six months, a circumstance that has now completely reversed. But Chart 5 shows that valuation also appears to have been a factor contributing to the selloff, by presenting the abnormal returns shown in Chart 3 as a function of the difference between the market's 12-month forward P/E and that of the global benchmark. While the fit is somewhat loose, the chart confirms that markets with higher (lower) forward P/E ratios were more likely to have negative (positive) abnormal returns over the two-week period. Chart 3...But Not After Adjusting##br## For Riskiness After The Selloff: A View From China After The Selloff: A View From China Chart 4The Low-Vol Trade Contributed ##br##To The Speed Of The Selloff... The Low-Vol Trade Contributed To The Speed Of The Selloff... The Low-Vol Trade Contributed To The Speed Of The Selloff... Taken together, the association between the selloff and volatility/valuation should be viewed as a sharp reduction in complacency in the market. While this does not necessarily bode poorly for global equities over the coming 6-12 months, there are some potential implications to explore for China's investable stock market. Chart 5...But Valuation Was Also A Factor After The Selloff: A View From China After The Selloff: A View From China Complacency Risk And Chinese Stocks The sharp reversal in global markets raises the question of whether Chinese equities are complacent about some looming risk. The obvious candidate for complacency risk in China would be focused on its economy, and the potential for a more substantial economic slowdown than is currently expected by market participants. However, we are unconvinced that Chinese ex-tech stocks are somehow neglecting the risks facing China's economy over the coming year. First, we have noted in previous reports that Chinese investable ex-tech stocks are extremely cheap versus global ex-tech stocks, highlighting that investors have priced in a degree of structural risk. Second, recent economic data releases from China do not suggest that the pace of the ongoing economic slowdown is accelerating, suggesting that there is no basis to expect a severe downturn over the coming year. But we acknowledge that the same cannot be said for China's tech sector. While Chinese tech stocks are not stretched on a technical basis (either versus the investable benchmark or versus global tech stocks), several observations make us cautious about China's outsized tech exposure in a world of reduced complacency: First, the growth rates of IBES 12-month trailing and forward earnings growth for global technology stocks are currently at the 80th and 85th percentiles, respectively (Chart 6). This suggests that a substantial amount of fundamental improvement has already been priced in to global tech stocks, raising the risk of earnings disappointment over the coming year. Given that China's tech sector weight (42%) is considerably above that of the global benchmark (18%), a global tech selloff would cause China's investable stock market to underperform even if Chinese tech performance is in line with that of the global tech sector. Second, relative to global technology stocks, the growth rates of China's 12-month trailing and forward earnings growth are also quite elevated, at the 80th and 70th percentiles, respectively (Chart 6 panel 2). This suggests that the tech earnings exuberance observed globally is even worse in China. Third, Chart 7 highlights that China's tech sector has been responsible for pushing our relative composite valuation indicator for China into overvalued territory over the past year. Relative to global ex-tech, China's ex-tech stocks are still significantly cheap; relative to global tech, China's tech stocks are significantly overvalued. Last, we have noted in past reports that China's tech sector appears to be a domestic consumer play, and thus unlikely to significantly underperform over the coming year. However, we also noted in last week's report on China's housing market that the optimism of the consumer sector may be somewhat unfounded if it is based on expectations of future gains in employment and/or income.2 While we do not expect a broad-based retracement in China's consumer sector, even a moderate decline in consumer confidence could spark a non-trivial selloff in Chinese tech stocks given the stretched fundamental picture highlighted above. Chart 6Tech Earnings Growth##br## Is Significantly Stretched Tech Earnings Growth Is Significantly Stretched Tech Earnings Growth Is Significantly Stretched Chart 7Tech Stocks Have Pushed China ##br##Into Overvalued Territory Tech Stocks Have Pushed China Into Overvalued Territory Tech Stocks Have Pushed China Into Overvalued Territory Investment Recommendations Given our observations about the complacency risk facing Chinese tech sector stocks, we are making the following changes to our investment recommendations: We are closing our overweight MSCI China Free versus the emerging markets benchmark trade for a 31% relative return. This has been a core trade for BCA's China Investment Strategy service and has provided investors with significant outperformance since its initiation in May 2012. We are opening two new trades as a replacement for the closed China / EM position: 1) long MSCI China investable ex-technology / short MSCI All Country World ex-technology, and 2) long MSCI China investable value / short All Country World value. These two new trades are a slight variation of a single theme, which is to retain cyclical exposure to investable Chinese stocks while neutralizing exposure to the tech sector. While style indexes such as value and growth normally do not have such a stark sector orientation, Chart 8 highlights that the relative performance of China value vs global value looks very similar to our internally-calculated ex-technology indexes for both markets. This is because MSCI's China growth index is almost entirely made up of tech sector stocks, meaning that a relative value play effectively mimics an ex-tech position. As a final point, we noted above that it is difficult to see how Chinese ex-tech equities are complacent about the ongoing slowdown in China's economy. Chart 9 supports this view by presenting a model for China's investable ex-tech 12-month trailing earnings in US$ terms, based on the Li Keqiang index. The model fit has been tight over the past decade, and is currently forecasting roughly 10% earnings growth over the coming year. This would clearly represent a significant deceleration from current levels, but it is still a decent earnings result that signals Chinese ex-tech stocks are attractive on a risk/reward basis given the sizeable valuation discount that is levied on China relative to global stocks. Chart 8China Ex-Tech And Value:##br## Similar Performance Vs Global China Ex-Tech And Value: Similar Performance Vs Global China Ex-Tech And Value: Similar Performance Vs Global Chart 9Positive Ex-Tech Earnings Growth Likely, ##br##Even With A Slowing Economy Positive Ex-Tech Earnings Growth Likely, Even With A Slowing Economy Positive Ex-Tech Earnings Growth Likely, Even With A Slowing Economy We remain alert to the possibility of a further, more pronounced slowdown in China's economy, but barring that Chinese ex-tech stocks appear to be a solid buy over the coming 6-12 months. Jonathan LaBerge, CFA, Vice President Special Reports jonathanl@bcaresearch.com 1 Please see Global Investment Strategy Special Report, "The Return Of Vol", dated February 6, 2018, available at gis.bcaresearch.com. 2 Please see China Investment Strategy Weekly Report, "Is China's Housing Market Stabilizing?", dated February 8, 2018, available at cis.bcaresearch.com. Cyclical Investment Stance Equity Sector Recommendations

Dear Client, This Special Report is the full transcript and slides of a presentation I recently gave at the London School of Economics symposium: 'Will I Work For AI, Or Will AI Work For Me?' The presentation pulls together several years of research analyzing the impact of current technological advances on work, the economy and society. I hope you find the presentation insightful and provocative, especially the narrative surrounding Slide 12. Dhaval Joshi Slide 2 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Feature Good afternoon Thank you very much for the invitation to speak here at the London School of Economics. The specific question you asked me was: will we be able to work in the future? (Slide 1). To which my answer is yes, an emphatic yes. I'm very optimistic that we will be able to work in the future. And one reason I'm saying this is, imagine that we had this symposium 100 years ago. I suspect we might have had exactly the same fears that we have right now (Slide 2). Slide 1 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Slide 2 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Specifically, at the start of the 20th century, about 35% of all jobs were on farms and another 6% were domestic servants. At the time, you could probably also have said, "Well, these jobs aren't going to exist." More or less half of the jobs that existed at that time were going to disappear - and disappear they did. So we'd have thought there would be mass unemployment. Of course, there wasn't mass unemployment, because just as jobs were destroyed, we had an equivalent job creation (Slide 3). For example, at the start of the 20th century, less than 5% of people worked in professional and technical jobs. But by the end of the century, these jobs employed a quarter of the workforce. I guess what I'm saying is that we're very conscious of job destruction because we can see existing jobs being destroyed. But we're not very conscious of job creation, because in real time, it's difficult to visualize or imagine where these new jobs will be. In essence, what we saw in the 20th century was one major segment of employment basically collapsed from very significant to insignificant. While another segment surged from insignificant to very significant (Slide 4). Slide 3 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Slide 4 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? As you all know, there is an economic thesis that underlies this. It's called Say's Law, derived by French economist Jean-Baptiste Say in 1803. In simple terms, it says that new supply creates new demand. Think about it like this: why would you replace a human with a machine? You would only do that if it increases your productivity, right? Otherwise, it does not make sense to replace a human with any sort of machine, including AI. But because you have increased productivity, you then have extra income to spend on new goods and services. Now if those goods and services are being supplied by a machine, then you can redeploy humans to satiate new desires, desires that do not even exist at the time. In economic terms, the producer of X - as long as his products are demanded - is able to buy Y (Slide 5). The question is, what is Y? Y is the new product or service. Let me give you some examples (Slide 6). In the 19th century, we had the advent of railways. And then someone thought. "Hang on a minute. We have this way of moving things around much faster, and we've got all these people who live hundreds of miles from the coast who might want to eat fresh fish." So this was the birth of the frozen food industry. But you could not have the frozen food industry without railways. What I'm saying is that entrepreneurs will seize the new technology to satiate a desire. Or even create a new desire because maybe the people in the middle of the country never thought they could eat fresh sea fish. Until someone came along and said, "you can eat fresh fish now." Slide 5 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Slide 6 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Another example is, as technology improved the health and longevity of your teeth someone thought. "Well, hang on a minute. Maybe there's a desire to make teeth look beautiful." And we created this whole new industry called the dental cosmetics industry. We know this because prior to the 1960s, there was no job called dental technician or dental hygienist. A third example is, let's say that we have more advanced healthcare and pharmaceuticals, so humans are living longer and healthier lives. Well, then you can sort of ask. "Hang on a minute. Don't you want your dog to live the same long and healthy life that you're living?" And this is behind the explosion of the pet care industry that we're seeing at the moment. So while one segment of the economy will employ less, a new segment will come along to replace it. In the 20th century we saw farm work disappearing but professional work rising. Today, we are seeing manufacturing and driving jobs disappearing but healthcare work rising (Slide 7). Which does raise a pretty obvious question (Slide 8). Is there anything really different this time around? Slide 7 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Slide 8 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Well, the answer is yes, there is a subtle but crucial difference this time around. To see the difference, we have to look more closely at where jobs are being destroyed, and where they are being created. As you can see, the mega-sectors losing a lot of jobs are manufacturing, the auto industry, and finance (Slide 9). While on the other side of the ledger, we have job creation in health, social work and education. But now, let's look in a little more detail. Where, specifically, are the jobs being created? For this we have to look at the United States data which is much more granular than in Europe. Here are the top five subsectors of job creation this decade (Slide 10). At the top of the list is food services and drinking places, which is just a euphemistic way of describing bartenders, waitresses, and pizza delivery boys. We also have a lot of new administrative jobs and care workers. What is the common link in this job creation? Answer: these are predominantly low-income jobs. Slide 9 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Slide 10 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? So it is true that we have an enormous amount of job creation in the last decade or so, and the policymakers keep boasting about it, they say, "Well look, the unemployment rate in the U.S. is at a record low, the unemployment rate in the UK is at a record low, the unemployment rate in Germany is at a record low. We're creating loads and loads of jobs." The trouble is that these are predominantly low-income jobs. Meanwhile the job destruction is in middle-income jobs in manufacturing and finance. This means what we're seeing in the labour market is called a 'negative composition effect' - a hollowing out of middle incomes. So while we're getting loads and loads of job creation, it is not translating into wage inflation at an aggregate level. I think one of the reasons is a concept called Moravec's paradox. Professor Hans Moravec is an expert in robotics and Artificial Intelligence, and he noticed this paradox (Slide 11). He said, "Look. For AI, the things that we think are difficult are actually easy." By easy, he means they're doable. Let me give you some specific examples. Say someone could speak five languages fluently and translate between them at ease. We would think that person is a genius, a real rare specimen, and the economy would value this person extremely highly, probably pay that person hundreds of thousands of pounds at a minimum. But actually, AI can translate across five languages quite easily, and even something like Google Translate, which we all use, does a reasonably good first stab at translating from one language to another. Slide 11 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Or consider something like insurance underwriting. Pricing an insurance premium from lots of data on a risk. AI can do that extremely well, much better than a human can. Or medical diagnosis. Figuring out what's wrong with a patient from very detailed medical data. Again, AI beats humans hands down on that. What I'm saying is, these skills that we thought were difficult transpired not to be that difficult for AI, because they just amount to narrow-frame pattern recognition and repetition of algorithms. Whereas, the second part of Moravec's paradox is that AI finds the easy things very hard. Things that we think are really innate, we don't even give them a second thought like walking up some stairs, cleaning a table, moving objects around, and cleaning around them. Actually, AI finds these things incredibly difficult, almost impossible. We have a false sense of what is difficult and what is easy. The main reason is that the things that we find innate took millions and millions of years of human brain evolution for us to find them innate. And as AI is in essence trying to replicate the human brain, only now are we recognizing that things that we find innate are actually incredibly complex. If it took millions and millions of years to evolve the sensorimotor skills that allow us to walk up some stairs, recognize subtle emotional signals, and respond appropriately, then obviously AI is going to find it very, very difficult to replicate those innate human skills. Conversely, the brain's ability to do calculus, construct a grammatical structure for a language, or play chess only evolved relatively recently. So AI can do them very easily. Which brings me to quite a profound thought. If there's one thing that I want you to remember from this presentation it is this (Slide 12). Might we have completely misvalued the human brain? Might we have grossly overvalued things that are actually quite easy? And might we have undervalued things which are actually very, very difficult? And what AI is now doing is correcting this huge error. In which case, the next decade could be extremely disruptive as AI corrects this economic misvaluation of our skills. Slide 12 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? This might also explain the mystery as to why there is no wage inflation when the Phillips curve says there should be. The Phillips curve makes a simple relationship between the unemployment rate and wage pressures. And the folks at the Federal Reserve and Bank of England, they're sort of getting really perplexed. They're saying, "Look, unemployment is so low. Where is this wage inflation? It's going to kick in any time now." In fact, there's a bit of a paradox going on. For the people who are continuously employed in the same job, there has been pretty good wage inflation - at sort of three, four percent (Slide 13). But when you take the negative composition effect into account, then suddenly there's this big gap because what's happening is that the well-paid jobs are disappearing to be replaced by lower-paid jobs. So even if you give the bartender making thirty thousand a big pay rise to thirty-five thousand. Even if you hire two of them, but you're losing a finance job paying over a hundred thousand, then at the aggregate level, you won't see much wage inflation. And this problem, I think, continues for the next few years, minimum. It means that you will not get the wage pressures that a lot of economists think you're going to get from the low unemployment rate. Because you have to look at the quality of the jobs as well as the quantity. I think there is another disturbing impact from a societal perspective. Look again at where the jobs are being lost and where they're being created, and look at the percentage of male employees (Slide 14). Job destruction is occurring in sectors that are male-dominated, whereas job creation is occurring in sectors that are female-dominated. Slide 13 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Slide 14 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? AI is good at narrow-frame pattern recognition and repetition of algorithms and functions - jobs like driving, which are typically male-dominated. Whereas jobs that require emotional input, emotional understanding, and empathy in the 'caring sectors' are typically female-dominated. So if you're a male, you're in trouble. You're in a lot of trouble. Obviously, there'll be re-training, so all the guys who were driving trucks will have to retrain as nurses, or as essential carers. But if you're a female, things are looking okay. You can see that in the data (Slide 15). Female labour force participation is in a very clear uptrend. Male participation is flat to down. This varies by country by country, and in the U.S., it's catastrophic for males, especially young males. Young male participation in the U.S. is really falling off a cliff at the moment. I think the other thing to say from a societal perspective is that the so-called 'Superstar Economy' is booming - both superstar individuals and superstar firms. One way of seeing this is in this index called 'the cost of living extremely well' calculated every year by Forbes (Slide 16). Whereas the ordinary CPI includes the cost of bread and milk, the CPI index for the extremely rich includes the cost of Petrossian caviar and Dom Perignon champagne. And a Learjet 70, a Sikorsky S-76D helicopter. I think there's a pedigree racehorse in there too. Anyway, we're seeing the CPI for the extremely rich rising at a dramatically faster pace than the CPI for society as a whole. So it would seem that superstar individuals and superstar firms are really thriving. Slide 15 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Slide 16 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Let's explain this dynamic in terms of a superstar we all recognise - Roger Federer. Roger Federer was unknown initially, but as he went up the tennis rankings and became a superstar, his income grew exponentially. The other aspect is, how long can he stay a superstar? Because all superstars are eventually displaced by a new superstar. So there's two aspects to the dynamics of superstar incomes (Slide 17). First, how exponential is your income growth? And second, how long do you stay a superstar? What I'm saying is that the rise of AI, by hollowing out the middle jobs, actually allows a few superstars to have this exponential rise in their income. Let's think about it in terms of the legal profession. The top lawyer will be in huge demand. Technology really boosts him. Not just AI, but things like the internet, the fact that social media will reinforce his position, whereby everyone will know who he is. Even if he can't service you directly, he will have a team with his brand on it. And he can stay there for longer before he is displaced. So this is the mechanism by which technology can increase income inequality by hollowing out the middle. In the legal profession, the assistant lawyer who just checks a document for simple legal principle, well the machine can do that. But the guy who knows all the oddities, who knows all the loopholes that can win you the case, the machine won't be able to do that. Essentially what I'm saying is that the technological revolution - it's not just AI, it's technology in aggregate, including the internet and social media, and so on - it increases the rate of income growth for a few superstar individuals and firms. And it increases their longevity (Slide 18). And these are the two drivers for the Pareto distribution of incomes. You can actually go through the mathematics of this to show that it does increase the polarization of incomes. Slide 17 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Slide 18 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Let's sum up (Slide 19). First of all, yes, we will be able to work in the future. I don't think there's any doubt about that because there will be new jobs created, the nature of which we can only guess because we're going to get new industries to satiate our new desires. However, in the coming years, middle-income work will suffer high disruption because of Moravec's Paradox. Some things that we thought were difficult are actually quite easy for AI. But things like gardening, plumbing, nursing, and childcare are very difficult for machines to replicate. Which means that low-income work will suffer much less disruption and, of course, low-income work will get paid better over time - though the gap is so large at the moment that it's preventing overall wage inflation from kicking in. And that, I think, will persist for the next few years at a minimum. Slide 19 The Impact Of AI: Will We Be Able To Work In The Future? The Impact Of AI: Will We Be Able To Work In The Future? Men are going to suffer much more disruption than women because of the nature of the job destruction versus the job creation. And the final point is that superstars will thrive. All of this has a lot of implications for how we respond as a society, and maybe we will need some support mechanisms in this period of disruption. I think the most intense disruption will be in the next decade. After that we will reach a new equilibrium once we have actually corrected this misvaluation of the brain, this misvaluation of what it is that makes us truly human. Thank you very much. Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com

Highlights The trajectory of EM bank profits and share prices will be critical to sustain the EM equity rally. Rising U.S. bond yields will push up EM local bond yields. This, along with poor quality of banks' earnings, will likely halt EM banks' stock rally. We reiterate our strategic equity position: short EM banks / long U.S. banks. The same strategy can be replicated in credit markets. In China, bank loan data are no longer indicative of aggregate lending to all segments of the economy. Banks' total claims, total assets, and money aggregates have all slowed. The Korean won is making a major top. Short it against an equal-weighted basket of the U.S. dollar and yen. Feature Chart I-1Rising U.S. Bond Yields = Higher EM Local ##br##Bond Yields And Lower Bank Stocks Rising U.S. Bond Yields = Higher EM Local Bond Yields And Lower Bank Stocks Rising U.S. Bond Yields = Higher EM Local Bond Yields And Lower Bank Stocks The key financial market variables with respect to the outlook for emerging markets (EM) are commodities prices, the U.S. dollar and EM bank share prices. We have written extensively on the former two, and today we elaborate on the third pillar: the importance of banks/financial stocks to the EM aggregate equity index. First, surging U.S. Treasurys yields point to higher EM local currency bond yields (Chart I-1, top panel). In turn, EM banks' share performance inversely correlates with EM local bond yields (Chart I-1, bottom panel). Altogether, this heralds lower EM bank share prices. Second, financials make up 24.4% of the MSCI EM equity market cap, with banks accounting for 18% out of the 24.4%. Hence, financials/banks' price fluctuations are critical to the EM equity benchmark. Importantly, financials' earnings accounts for 33.6% of EM listed companies earnings. By contrast, technology accounts for 27.6% of the EM market cap, but only 23.3% of EM total earnings (Table I-1). As to the EM technology sector, it is heavily skewed toward four large companies: Tencent, Alibaba, Samsung and TSMC. The latter two have already shown considerable weakness, with Samsung breaking down below its 200-day moving average (Chart I-2). Analyses on the former two companies are beyond the realm of macro research. What's more, these stocks are extremely overbought and probably expensive. If the rest of EM goes down, these two stocks are not likely to preclude it from happening. Third, banks in China, Turkey, Indonesia, Malaysia and Brazil have been boosting their reported EPS by reducing their provisions outright or the pace of provisioning. Table I-1EM Equity Sectors: Earnings & Market Cap Weights EM Bank Stocks Hold The Key EM Bank Stocks Hold The Key Chart I-2Is EM Tech Hardware Breaking Down? Is EM Tech Hardware Breaking Down? Is EM Tech Hardware Breaking Down? For various reasons, we believe these reductions in provisions are unjustified. In China, Turkey and Malaysia, NPLs are too low to begin with: the more accurate measures of NPLs are probably much higher in these banking systems given the magnitude and duration of the preceding credit boom (Chart I-3 and Chart I-4). Chart I-3China: Banks' Provisions Are Inadequate bca.ems_wr_2018_02_14_s1_c3 bca.ems_wr_2018_02_14_s1_c3 Chart I-4Turkey And Malaysia: ##br##Falling Provisions Are Untenable Turkey And Malaysia: Falling Provisions Are Untenable Turkey And Malaysia: Falling Provisions Are Untenable In Brazil and Indonesia, the recent weakness in nominal GDP growth - shown inverted on the chart - does not justify the outright reduction in the level of net new NPL provisions (Chart I-5). In short, some EM banks have inflated their EPS in recent quarters by reducing provisioning for bad loans. This suggests that their EPS quality is poor, and their profit recovery is unsustainable. Bottom Line: EM bank share prices have reached their previous high but are unlikely to break above that level, in our opinion (Chart I-6). Chart I-5Brazil And Indonesia: Declining ##br##Provisions Are Unsustainable Brazil And Indonesia: Declining Provisions Are Unsustainable Brazil And Indonesia: Declining Provisions Are Unsustainable Chart I-6EM Bank Share Prices ##br##Are Facing Resistance EM Bank Share Prices Are Facing Resistance EM Bank Share Prices Are Facing Resistance We reiterate our strategic call of being short EM banks and long U.S. bank stocks. The relative share price performance of EM versus U.S. banks has been inversely correlated with U.S. bond yields (Chart I-7). Chart I-7Rising U.S. Bond Yields = ##br##EM Banks Underperformance Rising U.S. Bond Yields = EM Banks Underperformance Rising U.S. Bond Yields = EM Banks Underperformance If our view on higher U.S. bond yields materializes, odds are that EM bank share prices will relapse considerably versus U.S. banks. Traders should consider implementing this trade. Credit investors can replicate the same strategy in credit markets. Strategy Considerations Investor sentiment remains bullish on risk assets in general and emerging markets in particular. The buy-on-dips mentality is well entrenched. Amid such investor consensus, it is important to consider alternative scenarios. Presently, the relative performance of Swiss versus global non-financial stocks is sitting on its long-term moving average (Chart I-8). Odds of a rebound in the relative performance of Swiss non-financial stocks from such oversold levels are fairly high. As and when the latter begin outperforming their global peers, it might entail a negative outlook for global bourses in general and cyclical equity sectors in particular. The basis is that Swiss non-financial stocks are defensive in nature, as pharmaceuticals and consumer staples account for a large portion of the total market cap. Not surprisingly, the previous bottoms in Swiss non-financials' relative performance versus global non-financials coincided with major tops in global equity bull markets. For now, the risk-reward for global stocks is unattractive, and the outlook for EM relative performance is extremely poor. Notably, relative manufacturing PMI trends favor DM over EM stocks (Chart I-9). Chart I-8Swiss Stocks Are At Critical Juncture: ##br##What Does It Mean For Global Equities? Swiss Stocks Are At Critical Juncture: What Does It Mean For Global Equities? Swiss Stocks Are At Critical Juncture: What Does It Mean For Global Equities? Chart I-9EM Relative To DM: PMIs And Share Prices EM Relative To DM: PMIs And Share Prices EM Relative To DM: PMIs And Share Prices Besides, as we discussed at great length in our recent report,1 EM equity valuations are on par with DM when adjusted for sector weights and sub-sectors with outlier valuation ratios. Our stance remains that EM risk assets will face a perfect storm this year for two reasons: Strong U.S. growth will cause U.S. inflation to rise, and the selloff in U.S. bonds has further to run. Higher U.S. interest rates should support the U.S. dollar and weigh on EM risk assets that have benefited disproportionally from the search for yield; While China's growth has slowed only moderately, our forward-looking leading indicators continue to point to further deceleration. A combination of these two tectonic shifts will amount to a perfect storm for EM risk assets in 2018. We explore these two issues in greater detail below. U.S. Inflation, The Fed And The U.S. Dollar We have the following observations on current U.S. economic dynamics: Fiscal stimulus is arriving at a time when growth is already robust, and the labor market is tight. This will likely produce higher inflation. Inflation does not need to surge to make a difference in financial markets. It would be fair to say investors have become complacent and financial markets are still pricing in a goldilocks scenario. Therefore, even a moderate rise in core inflation readings along with some anecdotal evidence that companies are able to raise prices will lead to further re-pricing in U.S. interest rate expectations. Higher U.S. interest rates pose a risk to EM, which have benefited considerably from the search for yield. EM currencies, domestic bonds and credit markets have so far held up well, despite the considerable rise in U.S. bond yields (see Chart I-1 on page 1). Based on this, it is tempting to argue that EM will be immune to rising U.S. interest rate expectations. Nevertheless, we believe this EM resilience has occurred because fund flows to EM remain very robust. These flows are often backward looking. Odds are that 10-year U.S. Treasury yields will move well north of 3%. Such a considerable rise in yields will weigh on EM risk assets. It is essential to realize that the positioning in EM stocks, local bonds and credit is more elevated today than it was before the 2015 downturn. Finally, Chart I-10 illustrates that U.S. banks' excess reserves at the Federal Reserve have started to drop. In recent years the periods of reserve declines have coincided with a strong U.S. dollar, yet the latest drop in banks' excess reserves has not yet produced a meaningful rally in the greenback (the dollar is shown inverted in Chart I-10). The Fed's ongoing tapering efforts and the U.S. Treasury's replenishment of its account at the Fed are bound to produce further reductions in banks' excess reserves. Based on the latter's correlation with the exchange rate, this should support the greenback. Notably, the U.S. dollar is fairly valued, according to our most favored valuation measure: the unit labor cost-based real effective exchange rate (Chart I-11). This takes into account both wages and productivity, and hence gauges competitiveness much better than real effective exchange rate measures that rely on consumer and producer prices. Chart I-10Shrinking U.S. Banks Excess ##br##Reserves = Stronger U.S. Dollar Shrinking U.S. Banks Excess Reserves = Stronger U.S. Dollar Shrinking U.S. Banks Excess Reserves = Stronger U.S. Dollar Chart I-11The U.S. Dollar Is Not Expensive The U.S. Dollar Is Not Expensive The U.S. Dollar Is Not Expensive Finally, tax cuts are supply side reforms, and they are typically bullish for the currency. Bottom Line: A combination of stronger growth, rising interest rate expectations, neutral valuations and oversold conditions should help the U.S. dollar to rebound. The rally in the U.S. exchange rate versus EM currencies will be pronounced if China's growth slows, as we expect it to. Making Sense Of Chinese Data China's slowdown has so far been moderate. However, in any economy a downturn almost always begins with a moderation in growth. That, however, is not sufficient reason to conclude that the growth slump will be benign or short-lived. Judgement on the duration and magnitude of a slowdown should be based on the existence of major macro imbalances, or lack thereof. Given that China has enormous money, credit and property market excesses/imbalances and policy has been tightening, we believe that growth disappointments will be non-trivial and more substantive than the market consensus currently expects. The following corroborate the case for a deepening growth slump ahead: The annual change in the manufacturing new orders-to-inventory ratio from the National Bureau of Statistics points to a relapse in Caixin's manufacturing PMI as well as steel, iron ore and coal prices (Chart I-12). This indicator also heralds a decline in analysts' EPS net revisions for all Chinese stocks (Chart I-13). Chart I-12China: An Impending Slowdown China: An Impending Slowdown China: An Impending Slowdown Chart I-13China: EPS Net Revisions Have Peaked China: EPS Net Revisions Have Peaked China: EPS Net Revisions Have Peaked While some economic data like imports for January were strong, it is important to realize that this January had a few more working days compared with January 2017 due to the Chinese New Year falling in February this year. Although the same seasonal adjustment should be applied to money and credit data, there are other critical dimensions specific to the credit data that investors should be aware of. Banks' loans to companies and households - widely watched by the investment community - was very strong in January relative to the previous month. However, loan and most of other data in China should be seasonally adjusted. The annual growth rate in RMB bank loans is still very robust at 13.2% (Chart I-14, top panel). However, the growth rates of banks' total assets, total claims and broad money have all dropped close to 10% or below (Chart I-14). The disparity between bank loans on the one hand and their claims and assets on the other is due to the following: In China's banking statistics, banks' loans to non-bank financial institutions - such as financial trusts, investment corporations, insurance, financial leasing companies and auto-financing companies, and loan companies - are not included in banks' loan data. Hence, bank loan data do not reveal the banks' full impact on the economy. By extending credit to non-bank financial institutions, banks have expanded their balance sheets without exceeding their loan quotas. In short, banks have funded shadow banking and by extension the real economy and speculative investment schemes but have done so via non-bank financial institutions. In addition, banks have also bought a lot of corporate and local government bonds that are not considered loans. Overall, bank loans have been understating the degree of the banking system's credit expansion. In the past year, regulators have been forcing banks to reduce their lending to non-bank financial institutions. With this channel of balance sheet expansion restricted (Chart I-15, top panel), banks are probably resorting to more traditional loans to expand their balance sheets and earn income. Chart I-14China: Bank Loans, ##br##Assets And Total Claims China: Bank Loans, Assets And Total Claims China: Bank Loans, Assets And Total Claims Chart I-15China: Bank Lending To Shadow ##br##Banking Is Being Curtailed China: Bank Lending To Shadow Banking Is Being Curtailed China: Bank Lending To Shadow Banking Is Being Curtailed In short, one needs to look at banks' aggregate claims on all entities - companies, households, non-bank financial institutions and governments - to assess whether their lending to the economy is slowing or accelerating. Chart I-16China: Structure Of Bank Assets China: Structure Of Bank Assets China: Structure Of Bank Assets Consistent with the ongoing regulatory clampdown, banks' claims on non-bank financial institutions - so called shadow banking - have plummeted in the past 12 months after expanding 50-70% annually for several years in a row (Chart I-15, top panel). The bottom three panels of Chart I-15 indicate that the annual growth rates of banks' claims on companies, household and the government have either already decelerated or are slowing now. Their respective shares in banks' total assets are displayed in Chart I-16. While banks' RMB loans remain the largest category of assets, the importance of other claims has risen. Bottom Line: Several leading indicators continue pointing to an impending slowdown in the mainland's economy. Bank loan data is no longer indicative of total bank assets expansion/aggregate lending to all segments in the economy. Broader measures - such as banks' total claims, assets and money aggregates - have decelerated considerably. Arthur Budaghyan, Senior Vice President Emerging Markets Strategy arthurb@bcaresearch.com Korea: A Major Top In The Won The Korean won is vulnerable on several fronts: Its real effective exchange rate based on unit labor costs is well above its historical mean (Chart II-1, top panel). Importantly, based on this same measure, the won is very expensive versus the Japanese yen (Chart II-1, bottom panel). The manufacturing cycle has already weakened in Korea (Chart II-2). Chart II-1The Won Is Expensive The Won Is Expensive The Won Is Expensive Chart II-2Korea's Manufacturing Is Weakening Korea's Manufacturing Is Weakening Korea's Manufacturing Is Weakening Japanese exports in U.S. dollar terms are starting to outperform Korean ones (Chart II-3), suggesting that Korean exporters might be losing market share to their Japanese rivals. Furthermore, manufacturing inventories are rising sharply in Korea but not in Japan (Chart II-4). Relative manufacturing inventory trends also favor the yen versus the won (Chart II-4, bottom panel). Chart II-3Relative Exports: Korea Versus Japan Relative Exports: Korea Versus Japan Relative Exports: Korea Versus Japan Chart II-4Manufacturing Inventories: Korea And Japan Manufacturing Inventories: Korea And Japan Manufacturing Inventories: Korea And Japan The won's appreciation has depressed Korea's export prices in local-currency terms. In Japan, on the other hand, local-currency export prices are holding better. Interestingly, the relative export price trend in U.S. dollars points to the won's depreciation versus the yen (Chart II-5). Korean non-financial stocks have broken below their 200-day moving average, which corroborates that corporate profitability is deteriorating (Chart II-6). Korean equities have been among the world's worst-performing bourses year-to-date. Chart II-5Export Prices: Korea And Japan Export Prices: Korea And Japan Export Prices: Korea And Japan Chart II-6Korean Non-Financial Stocks Are Cracking Korean Non-Financial Stocks Are Cracking Korean Non-Financial Stocks Are Cracking In addition, the correction in Korean stocks commenced before the recent plunge in the S&P 500. This highlights that the relapse in Korean share prices was not only due to the contagion from the U.S. equity selloff. Finally, the technical profile of the won points to a major top. Chart II-7 shows that the won is facing multi-year technical resistance versus the U.S. dollar. Chart II-7KRW/USD Exchange Rate: ##br##A Long-Term Technical Profile KRW/USD Exchange Rate: A Long-Term Technical Profile KRW/USD Exchange Rate: A Long-Term Technical Profile Investment Conclusions We have been short the Korean won versus the Thai baht since October 19, 2016 and this trade has produced a 7.3% gain. We recommend closing this trade and shorting the won versus an equally-weighted basket of the U.S. dollar and yen. The rationale to short the KRW versus this basket is to hedge against a possible near-term U.S. dollar selloff if China is forced to revalue the RMB further, as we discussed in February 7, 2018 report.2 In regards to equities, we are closing our long KOSPI / short Nikkei trade with a 1% loss since April 26, 2017. Within the EM universe, we continue recommending a neutral allocation to Korean stocks excluding technology. Despite their recent underperformance, EM-dedicated managers should continue overweighting Korean tech stocks. The reasoning behind this is that the potential currency depreciation will help their corporate profitability as tech shipments are not exposed to Chinese capital spending. The latter will be the epicenter of negative growth surprises in our opinion. Finally, Korean local bond yields will soon top out as the deflationary pressures from a stronger currency become more evident in the economy. Korean bonds will outperform U.S. Treasurys on a currency-hedged basis. 1 Please refer to Emerging Markets Strategy Special Report, titled "EM Equity Valuations (Part I)," dated January 24, 2018, the link is available on page 19. 2 Please refer to Emerging Markets Strategy Weekly Report, titled "A Regime Shift?," dated February 7, 2018, the link is available on page 19. Equity Recommendations Fixed-Income, Credit And Currency Recommendations

Highlights Portfolio Strategy Relentless selling in utilities stocks is overdone and we are compelled to lift exposure to neutral. Operating metrics have turned the corner for the better, but a still challenging macro backdrop suggests that it is too soon to boost to an overweight stance. A rising interest rate backdrop, the sinking Cyclical Macro Indicator and near collapse in our sales growth model along with high chances of a profit margin squeeze, suggest that telecom services stocks are a sell. Recent Changes S&P Utilities - Upgrade to neutral for a gain of 15%. S&P Telecom Services - Downgrade to underweight, and add to high-conviction underweight list today. S&P Utilities - Removed from high-conviction underweight list last week for a gain of 18%.1 S&P Semiconductor Equipment - Removed from high-conviction underweight list last week for a gain of 20%.2 S&P Homebuilding - Removed from high-conviction underweight list last week for a gain of 10%.3 Feature Chart 1Time To Start 'Buying The Dip' Time To Start 'Buying The Dip' Time To Start 'Buying The Dip' Panic selling persisted last week, and equities struggled for direction, as the battle between liquidity withdrawal and stellar profit growth rages on. As we wrote in a recent report, the market will test the new Fed Chairman's resolve and this must have been an unnerving first week for Powell at the helm of the Fed.4 The 10% tactical pullback that we had been flagging in recent publications with the tech sector correctly sniffing it out has materialized, and our strategy is to start "buying the dip" as we do not foresee recession in the coming 9-12 months. While an undershoot cannot be ruled out given the emotional nature of recent market action, a number of indicators we track suggest that it would be a mistake to get extremely bearish at the current juncture. First and foremost, empirical evidence suggests that investors with a cyclical 9-12 month investment horizon should start to buy this correction (Chart 1). We analyzed SPX data back to the early-1960s and identified daily falls of 4% or more. There have been 16 such occurrences. In our sample we excluded the 1982 and 2015 incidents that rounded up to 4%, but were a hair below that level. For 1987 we included only one datapoint for the Black Monday crash and omitted occurrences very close to that date. Similarly, in the autumn of 2008 we only used the first large daily decline in our study and excluded other sizable downdrafts that were clustered around Lehman's collapse. We decided to exclude such clustered datapoints as they would skew our results to the upside. This analysis clearly demonstrates that it pays to "buy the dip" (top panel, Chart 1), and on average the SPX rises roughly 14% in the ensuing 12 months following the steep daily pullback (bottom panel, Chart 1). Interestingly, within a few weeks of the mini-crash empirical evidence suggests that markets typically retest those beaten-down levels and tend to hold above them. The implication is that investors have some time to deploy cash and/or reposition portfolios in order to take advantage of the recent pullback. Second, credit spreads have been surprisingly quiet. Bond spreads across the risk spectrum are extremely sensitive to risk off phases and one would have expected a sharp widening in spreads during the recent turmoil (fourth panel, Chart 2A). Chart 2ANo Systemic Risk Evident No Systemic Risk Evident No Systemic Risk Evident Chart 2BLatent Buying Power Latent Buying Power Latent Buying Power Third, the U.S. dollar has remained muted despite recent stock market jitters. A soft greenback is purely redistributive and represents a boost to global growth (third panel, Chart 2A). Fourth, short equity market positions are pinned near all-time highs representing latent dry powder (Chart 2B). Fifth, the VIX has gone vertical surging beyond the 50 level. Both the jump in the VIX and the explosion in trading volumes signal that capitulation was likely hit (second panel, Chart 2A). Finally, the recent market swoon along with rising EPS estimates have knocked down valuations pushing them to a 16 handle on a 12-month forward P/E basis (bottom panel, Chart 2A). In other words, all these indicators suggest that the bulk of the selling may have already occurred, and an absorption/consolidation phase will likely take place in the next few weeks. In fact, the recent let-up of soft data and simultaneous perkiness of hard data also corroborates that a lateral move is in the cards for the broad market (Chart 3). Chart 3Consolidation Phase Ahead Consolidation Phase Ahead Consolidation Phase Ahead We are willing to ride out the volatility and selectively look for opportunities to put cash to work, given our view that the longevity of the business cycle remains intact. Our core strategy remains to stay heavily focused on financials and industrials that benefit from our two key 2018 themes: higher interest rates and synchronized global capex upcycle. The energy sector also provides excellent value and a positive cyclical earnings outlook, based on BCA's upbeat crude oil view and rising odds of a virtuous capex upcycle. Meanwhile, health care remains our core defensive sector underweight. This sector still has to contend with political backlash against its multi-decade resilient selling price backdrop. With regard to the niche fixed income proxies, we are making a small tweak this week lifting the bombed-out utilities sector to neutral from underweight and locking in gains of 15% since inception. We are also downgrading defensive telecom stocks from neutral to underweight. Enough Is Enough In Bombed-Out Utilities In mid-summer we downgraded utilities to a below benchmark allocation, and subsequently on November 27th we were compelled to add it to our 2018 high-conviction underweight list, doubling down on our bearishness toward this fixed income proxy sector. These moves have paid handsome dividends and added alpha to our portfolio. Last week we crystalized gains by obeying our trailing stop that got triggered on our high-conviction list, registering 18% gains for the utilities underweight call. And, today we recommend an upgrade to a neutral stance to the niche S&P utilities sector, booking 15% gains since the July 24th inception, as indiscriminate selling has gone way too far in our opinion. Chart 4 shows that relative utilities performance has hit rock-bottom, plumbing all-time lows. In fact, the relative share price ratio has been so downbeat that if history at least rhymes a temporary relief rebound is in sight. Such oversold levels in our composite technical indicator have marked previous troughs (bottom panel, Chart 5). Tack on a gap down in relative valuations right at the neutral zone, and the implication is that it does not pay to be bearish from current washed out relative share price levels. Chart 4Unloved... Unloved... Unloved... Chart 5...And Under-owned Utilities... ...And Under-owned Utilities... ...And Under-owned Utilities... On the operational front, nat gas prices are no longer reeling and should boost industry pricing power as they are the marginal price setter for utilities (top two panels, Chart 6). Electricity production is also staging a slingshot recovery. This demand increase should also underpin utilities selling prices. Resource utilization is on the rise, up roughly 700bps from the 2016 trough. Once again the removal of excess slack should at least put a floor under industry producer price inflation. Indeed, our utilities sector productivity proxy has caught on fire recently pushing four year highs as both industry output and employment restraint are aiding our gauge. The upshot is that sell side analyst pessimism has likely hit a trough (bottom panel, Chart 6). All of these positives signal that we should take a punt and boost exposure all the way to overweight, nevertheless a challenging macro backdrop keeps us on the sidelines for now. Chart 7 shows that utilities stocks are the mirror image of the global manufacturing PMI survey. In other words, relative share prices move inversely with the ebb and flow of global growth, showcasing their ultimate safe-haven status. Similarly, increasing capital outlays are negatively correlated with utilities stocks, and given our synchronized global growth and global capex themes, utilities have limited cyclical upside. Finally, this high dividend yielding sector also suffers when Treasury bond yields shoot higher, as competing risk free assets become more appealing. Higher interest rates is one of BCA's key 2018 themes, and any resumption of the 10-year Treasury selloff will continue to weigh on relative performance (bottom panel, Chart 7). Chart 6...Are Coming Back To Life... ...Are Coming Back To Life... ...Are Coming Back To Life... Chart 7...But Do Not Get Carried Away ...But Do Not Get Carried Away ...But Do Not Get Carried Away Netting it all out, relentless selling in utilities stocks is overdone and we are compelled to lift exposure to neutral. Operating metrics have turned the corner for the better, but a still challenging macro backdrop suggests that it is too soon to boost to an overweight stance. Bottom Line: Take profits of 15% and lift the S&P utilities sector to a benchmark allocation. Trim Telecom Services To Underweight We are filling the void from the upgrade in the S&P utilities sector by downgrading the S&P telecom services sector to underweight, and also adding it to the high-conviction underweight list. This defensive sector swap preserves our bearishness toward safe haven assets as both sectors have a similar weight in the SPX. Three main reasons are behind our dislike for this fixed income proxy sector: BCA's 2018 rising interest rate theme Both our Cyclical Macro Indicator (CMI) and our sales model send a distress signal A profit margin squeeze is looming The top panel of Chart 8 shows that high dividend yielding telecom services stocks and the 10-year yield are nearly perfectly inversely correlated. In fact, telecom services stocks are prime beneficiaries of disinflation/deflation and vice versa (bottom panel, Chart 8). BCA's bond market view remains that the 10-year yield will continue to rise on the back of rising inflation expectations, and this represents a bearish backdrop for the telecom services sector. Our CMI has melted and relative consumer outlays on telecom services have also taken a nosedive (top two panels, Chart 9), warning that revenue growth will be hard to come by for telecom carriers. In fact, while nearly all of the GICS1 sectors have come out of the top line growth lull of late-2015/early-2016, telecom services sales growth has relapsed. Worrisomely, our S&P telecom services revenue growth model remains deep in contractionary territory, waving a red flag (bottom panel, Chart 9). Still steeply deflating selling prices are a major headwind for the sector's top and bottom line growth prospects and coupled with a still expanding wage bill, suggest that a profit margin squeeze is looming (fourth panel Chart 10). Chart 8No Dial Tone No Dial Tone No Dial Tone Chart 9Models Say Shy Away Models Say Shy Away Models Say Shy Away Chart 10Looming Margin Squeeze Looming Margin Squeeze Looming Margin Squeeze The sell side analyst community does not share this dire earnings picture. Net earnings revisions have gone vertical likely on the back of the recent tax reform. However, increasing industry slack underscores that beyond any one time gains from a lower corporate tax rate, organic EPS growth will be anemic at best. In fact, telecom services weekly hours worked do an excellent job of forecasting the sector's net earnings revision ratio and the current message is grim for profits (bottom panel, Chart 10). Adding it up, a rising interest rate backdrop, the sinking CMI and near collapse in our sales growth model along with high chances of a profit margin squeeze, suggest that a fresh bear phase is likely in the S&P telecom services sector. Bottom Line: Downgrade the S&P telecom services sector to a below benchmark allocation. We are also adding it to our high-conviction underweight list. The ticker symbols for the stocks in this index are: T, VZ, CTL. Anastasios Avgeriou, Vice President U.S. Equity Strategy anastasios@bcaresearch.com 1 Please see BCA U.S. Equity Strategy Insight, "Stocks Take An Escalator Up, And An Elevator Down," dated February 7, 2018, available at uses.bcaresearch.com. 2 Please see BCA U.S. Equity Strategy Insight, "Housekeeping In Turbulent Times," dated February 9, 2018, available at uses.bcaresearch.com. 3 Ibid. 4 Please see BCA U.S. Equity Strategy Weekly Report, "Will The Market Test Powell?" dated November 13, 2017, available at uses.bcaresearch.com. Current Recommendations Current Trades Size And Style Views Favor value over growth. Stay neutral small over large caps (downgrade alert).

Risk management is important in tumultuous times. Our long held strategy of how to navigate choppy waters during a tactical correction has been to book gains in pair trades and thus de-risk the portfolio, and institute trailing stops to the high-flyers in our high-conviction call list. Two additional high-conviction underweight calls got stopped out recently with hefty gains for our portfolio: 10% for our underweight call on homebuilders and 20% for our underweight call in semi equipment stocks. We are obeying both stops and taking profits by removing them from the high-conviction underweight list. Nevertheless, the spiking lumber prices, surging interest rates and tax reform trifecta is still, at the margin, weighing on homebuilders. Therefore, we continue to recommend an underweight stance in this niche consumer discretionary industry. Similarly, while our underweight conviction level is not as high for semiconductor equipment stocks as on November 27, 2017, we continue to recommend a below benchmark allocation to this highly cyclical industry. Rising interest rates, a key BCA theme for 2018 is working against last year's stellar performers with growth stocks (semi equipment equities included) suffering a valuation derating. Bottom Line: Crystalize profits of 20% and 10% in chip equipment and homebuilding stocks, respectively, and remove from the high-conviction underweight list. We continue to recommend a below benchmark allocation in both indexes. The ticker symbols for the stocks in the S&P semi equipment and S&P homebuilders indexes are: AMAT, LRCX, KLAC, and LEN, DHI, PHM, respectively. Housekeeping In Turbulent Times Housekeeping In Turbulent Times

While the S&P 500 has been struggling for direction and volatility has gone haywire, we continue to believe that "buy the dip" is the proper strategy for this latest market drawdown. Empirical evidence suggests that this is the proper strategy for investors with a cyclical 9-12 month investment horizon. We analyzed SPX data back to the early 1960s and identified daily falls of 4% or more. There have been 16 such iterations, and we excluded the 1982 and 2015 incidents that rounded up to 4%, but were a hair below that level. For 1987 we used one iteration for the black Friday crash, but omitted occurrences very close to that date, and another on for late November 1987. Similarly, in 2008 we only used the first iteration in September of that year for our study as a number of sizable downdrafts clustered around Lehman's collapse. We decided to exclude numerous close by iterations as it would skew our results to the upside. This analysis clearly demonstrates that it pays to "buy the dip" (top panel), and on average the SPX rises roughly 14% following the steep daily pullback in the ensuing 12 months (bottom panel). Interestingly, within a few weeks of the mini-crash empirical evidence suggests that markets typically retest those beaten down levels and tend to hold above them, suggesting that investors have some time to reposition portfolios and take advantage of the recent pullback. Stay tuned. Buy The Dip' Buy The Dip'

Highlights Persistent QE, ZIRP and NIRP have severely distorted the valuation relationship between equities and bonds on a global scale. Hence, the risk is that financial market distortions will infect the economy, not the other way round. A global mini-downturn in the first half of 2018 is now all but guaranteed. High conviction equity sector recommendation: underweight the major cyclical equity sectors: specifically, Banks, Materials and Energy; but overweight Airlines. High conviction currency recommendation: yen first; euro second; pound third; dollar fourth. Feature Stock markets ascend by walking up the stairs, but they descend by jumping out of the window. Unfortunately, investors often misinterpret the low volatility of a market ascent as a sign that equity risk has diminished. In fact, the low volatility just tells us that walking up the stairs is a slow and dull process (Chart I-2). It tells us nothing about equity risk. Chart of the WeekA Global Mini-Downturn In H1 2018 Is Now All But Guaranteed A Global Mini-Downturn In H1 2018 Is Now All But Guaranteed A Global Mini-Downturn In H1 2018 Is Now All But Guaranteed Chart I-2Stock Markets Climb Up The Stairs, And Then Jump Out Of The Window Stock Markets Climb Up The Stairs, And Then Jump Out Of The Window Stock Markets Climb Up The Stairs, And Then Jump Out Of The Window The risk of equities, as we have just seen, is that they do periodically jump out of the window. Meaning that equities have the potential to suffer much more intense short-term losses than short-term gains. This ratio of potential losses to potential gains is technically known as negative skew. For a reminder why equity returns have this unattractive asymmetry, please revisit our Special Report 'Negative Skew': A Ticking Time-Bomb.1 That said, equity returns always possess negative skew, so there is nothing new about stock markets jumping out of the window, as they have this week. Persistent QE, ZIRP And NIRP Have Created A Severe Financial Distortion The much bigger story is that persistent QE, ZIRP and NIRP2 have imparted negative skew on bond returns too. Central banks accept that there is a 'lower bound' for policy interest rates - perhaps slightly negative - below which there would be an exodus of bank deposits. The limit also marks the lower bound for bond yields. Approaching this lower bound for yields, bond prices have diminishing upside with increasing downside (Chart I-3). So at low bond yields, mathematics necessarily forces bond markets also to walk up the stairs and then jump out of the window (Chart I-4 and Chart I-5). Chart I-3Approaching The Lower Bound For Yields, Bond Prices ##br##Have Diminishing Upside With Increasing Downside Low Vol: The Time-Bomb Explodes Low Vol: The Time-Bomb Explodes Chart I-4In A Low Yield Era, Bond Markets ##br##Also Climb Up The Stairs... In A Low Yield Era, Bond Markets Also Climb Up The Stairs... In A Low Yield Era, Bond Markets Also Climb Up The Stairs... Chart I-5... And Then Jump Out ##br##Of The Window ... And Then Jump Out Of The Window ... And Then Jump Out Of The Window As the risk of owning 10-year bonds has increased to become 'equity-like', it has removed the requirement for an excess return, a risk premium, on equities. In other words, persistently ultra-accommodative monetary policy has diminished the prospective 10-year annual return on global equities to become 'bond-like', collapsing from 9% in 2012 to 1.5% today - exactly the same rate of return that is now offered by the global 10-year bond (Chart I-6). In effect, persistent QE, ZIRP and NIRP have severely distorted the valuation relationship between equities and bonds. Chart I-6Equities' Prospective Returns##br## Have Become 'Bond-Like' Equities' Prospective Returns Have Become 'Bond-Like' Equities' Prospective Returns Have Become 'Bond-Like' However, as we explained last week in Beware The Great Moderation 2.0,3 the nose-bleed valuation of the world stock market is justified only as long as bond yields stays low. Above a 2% yield, the payoffs offered by bonds gradually lose their negative skew and thereby become less risky than those offered by equities. So equities must once again compensate by offering an excess prospective return, necessitating a derating of today's elevated valuations. Specifically, we wrote that the big threat to equity valuations "comes from the global 10-year bond yield rising to 2% - broadly equivalent to the German 10-year bund yield rising to 1% or the U.S. 10-year T-bond yield rising to 3%." To which one client responded "markets do not respect round numbers... if the trigger-point is 3%, then you must act well before that." Wise words indeed. The U.S. 10-year T-bond yield got as far as 2.88% before triggering a reversal in equity valuations. Financial Distortions Threaten The Real Economy Chart I-7Financial Conditions 'Easiness' Is Just ##br##Tracking The Stock Market Financial Conditions 'Easiness' Is Just Tracking The Stock Market Financial Conditions 'Easiness' Is Just Tracking The Stock Market Many people naturally assume that the economy drives the financial markets. This may be true some of the time, or even most of the time. But in the last three downturns, the causality ran the other way round - financial market distortions dragged down the economy. The bursting of the dot com bubble triggered the downturn in 2001; the large-scale mispricing of U.S. mortgages caused the Great Recession in 2008; and the explosive widening of euro area sovereign credit spreads resulted in the euro area recession in 2011. Which begs the question: is there a financial distortion or mispricing that could once again drag down the economy? The answer is an emphatic yes. To repeat, six years of persistent QE, ZIRP and NIRP have severely distorted the valuation relationship between equities and bonds on a global scale, compressing the prospective 10-year annual return on world equities from 9% to 1.5%.4 Thereby, equity returns which would have accrued in the future have been brought forward to the here and now in the form of elevated capital values. But if higher bond yields correct the severely distorted valuation relationship between equities and bonds, the effect will be to move these returns from the present back to the future, depressing capital values today. Now note that while world GDP is worth around $80 trillion, the combination of equities and correlated risk-assets such as corporate and EM debt is worth double that, around $160 trillion, and real estate is worth $220 trillion. If returns from these richly valued asset-classes are redistributed from the present back to the future, through lower capital values today, there is a very real risk that current spending could take a hit. Supporting this broad thesis, central bank measures of 'financial conditions easiness' just track tick for tick the level of the stock market (Chart I-7). What To Do Now The upturn in bond yields which started last summer threatens to impact activity through two separate channels. As just discussed, the first is the financial market channel via a setback to global risk-asset capital values. The second is the bank credit channel. Changes in the bond yield very clearly and reliably lead changes in credit flows, the credit impulse, by 6 months. Therefore, the rise in bond yields is only now starting to pull down the credit impulse - and thereby the global activity mini-cycle, which is the all-important driver of mainstream European investments. It follows that a global mini-downturn in the first half of 2018 is now all but guaranteed (Chart of the Week). And that the higher that bond yields go from here, the more marked this mini-downturn will be. This reinforces two high conviction investment recommendations. First, it is now appropriate to underweight cyclical equity sectors: specifically, Banks, Materials and Energy. Against this, the one cyclical sector to upgrade to overweight is Airlines, given the sector's negative correlation with the oil price. Second, the payoff profile for exchange rates is just tracking expected long-term interest rate differentials (Chart I-8). This means that when the expected interest rate is close to the lower bound, the currency possesses a highly attractive payoff profile called positive skew. In essence, for any central bank already at the realistic limit of ultra-loose policy - such as the BoJ and ECB - the direction of policy rate expectations cannot go significantly lower. Conversely, tightening expectations for the Federal Reserve are approaching a magnitude that threatens either risk-asset prices and/or economic growth. So these expectations cannot go significantly higher (Chart I-9). Chart I-8Exchange Rates Are Tracking Long-Term ##br## Interest Rate Differentials Exchange Rates Are Tracking Long-Term Interest Rate Differentials Exchange Rates Are Tracking Long-Term Interest Rate Differentials Chart I-9Expected Interest Rates In The Euro Area And ##br##U.S. Will Converge One Way Or The Other Expected Interest Rates In The Euro Area And U.S. Will Converge One Way Or The Other Expected Interest Rates In The Euro Area And U.S. Will Converge One Way Or The Other On this basis, we reiterate our high conviction pecking order for currencies in 2018. Yen first; euro second; pound third; dollar fourth. Dhaval Joshi, Senior Vice President Chief European Investment Strategist dhaval@bcaresearch.com 1 Please see the European Investment Strategy Special Report 'Negative Skew: A Ticking Time-Bomb', July 27 2017 available at eis.bcaresearch.com. 2 Quantitative Easing, Zero Interest Rate Policy and Negative Interest Rate Policy. 3 Please see the European Investment Strategy Weekly Report, 'Beware The Great Moderation 2.0', February 1 2018 available at eis.bcaresearch.com. 4 This 1.5% forecast comes from regressing the world equity market to GDP multiple through 1998-2008 with subsequent 10-year returns, observing a very tight relationship, and then using the same relationship on current world equity market cap to GDP. Fractal Trading Model* This week's recommended trade is to go long utilities versus the market. The profit target is 3.5% outperformance with a symmetrical stop-loss. It was an excellent week for our other trades with short palladium hitting its 6% profit target, while underweight Japanese energy and long USD/ZAR are both in comfortable profit. 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-10 World Utilities World Utilities 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

Highlights The recent house price weakness in Tier 1 markets likely reflects past economic "information", and does not suggest that a more pronounced slowdown is forthcoming. In fact, while it is too soon to conclude that China's housing sector is about to enter a significant upturn, there are several signs of a potential pickup in activity that should be closely monitored. These signs suggest that, at a minimum, the risk of a material housing downturn has somewhat eased. This is consistent with an overweight stance towards Chinese investable stocks within an emerging market or global equity portfolio. The enormous rise in Chinese investable real estate stocks over the past year reflects a significant improvement in fundamentals and a re-rating from deeply depressed levels. Our Sector Alpha Portfolio suggests that cutting exposure is not yet warranted, but investors should tighten their stops given now lofty earnings expectations over the coming year. Feature We presented our framework for tracking the end of China's mini-cycle in an October 2017 Weekly Report,1 and noted at that time that a weakening housing market was a trend that needed to be monitored. We argued that a moderation in house price appreciation was all but inevitable given the magnitude of the boom over the prior 2 years, and was not concerning in isolation. But we also highlighted that home sales and prices were a key bellwether of the efficacy of policymakers' reflationary efforts over the course of the recent mini-cycle, and that an eventual stabilization of the pace of decline would be an important signal confirming the benign nature of China's economic slowdown. Chart 1A Sharp Decline In Tier 1 House Prices A Sharp Decline In Tier 1 House Prices A Sharp Decline In Tier 1 House Prices The rate of appreciation in Chinese house prices has moderated further since we wrote our October report (Chart 1), with prices in Tier 1 markets (Beijing, Shanghai, Guangzhou, and Shenzhen) having recently decelerated to 0%. In this week's report we provide a brief update on China's housing market, and whether recent house price weakness is consistent with our benign slowdown view. We conclude that the softness in house prices, even in Tier 1 markets, has occurred due to the ongoing economic slowdown and does not likely reflect new information about the condition of the Chinese economy. In fact, while it is too soon to conclude that China's housing sector is about to enter a significant upturn, there are several signs of a potential pickup in activity that should be closely monitored. A Stylized View Of China's Housing Cycle Chart 2 presents a stylized description of the sequencing of China's housing market cycles since 2010, at the onset of China's "new normal" period of decelerating economic growth. Chart 3 presents these dynamics directly and illustrates the lag structure that has prevailed over the period. Chart 2A Stylized View Of China's Housing Market Dynamics: 2010 - Present Is China's Housing Market Stabilizing? Is China's Housing Market Stabilizing? Chart 3Residential Floor Space Sold And House Price Diffusion Indexes Lead ##br##Other Housing Market Data Residential Floor Space Sold And House Price Diffusion Indexes Lead Other Housing Market Data Residential Floor Space Sold And House Price Diffusion Indexes Lead Other Housing Market Data The charts highlight how residential floor space sold has tended to lead other major housing market data in China over the past several years, closely followed by house price diffusion indexes and the year-over-year house price index for Tier 1 markets. These series are, in turn, followed by residential floor space started, the growth rate of house prices in Tier 2 & 3 markets, and finally by land purchased for overall real estate development. Charts 2 & 3 present two noteworthy observations: While Tier 1 house prices have tended to lead prices in Tier 2 and Tier 3 markets, they themselves tend to be preceded by other important housing market series. The extent of the recent decline in Tier 1 house prices seems to simply be the mirror image of the enormous boom that occurred in late-2015 / early-2016, when prices rose over 30% year-over-year. Given the significant slowdown in floor space sold that has occurred since mid-2016, and the enormous rise in prices that preceded it, it seems reasonable to conclude that the recent price weakness in Tier 1 markets likely reflects past economic "information". The more salient question for investors is what developments are likely to occur in China's housing market over the coming year, and what investment strategy conclusions emerge from the outlook. The Cyclical Outlook For Chinese Housing While it is too soon to conclude that China's housing sector is about to enter a significant upturn, there are several signs of a potential pickup in activity that should be closely monitored: Charts 2 & 3 highlight that residential floor space sold has had the best leading properties of the overall housing market cycle in China over the past several years, and there has been a modest pickup in this series since October (Chart 4). Admittedly, there have been two false starts in this series since mid-2016, so it is too early to tell from this data alone that China's housing market activity is about to pick up significantly. However, there has also been a notable improvement in our BCA China 70-City House Price Diffusion Index (Chart 5), which measures the share of cities with accelerating year-over-year house prices. We flagged the previous sharp decline in this measure in our October report, but the recent rebound has resulted in a complete round-trip from last summer's levels. Official diffusion indexes, based on the number of cities with positive month-over-month price gains, are also well above the boom/bust line and have not deteriorated to the same extent as our index has over the past year. Chart 4A Modest Pickup##br## In Housing Sales Volume A Modest Pickup In Housing Sales Volume A Modest Pickup In Housing Sales Volume Chart 5A Notable Pickup##br## In Our House Price Diffusion Index A Notable Pickup In Our House Price Diffusion Index A Notable Pickup In Our House Price Diffusion Index The recent pickup in house prices may be linked to the rolling back of purchase restrictions in some cities, but the correlation is far from perfect. For example, Shijiazhuang, Xiamen, Changsha, Xi'an, and Lanzhou have all been cited in various news reports as having adjusted their housing policies, but none of these markets have experienced a pickup in house price appreciation. We will be watching for more compelling signs over the coming months that local housing market deregulation is the root cause of the recent pickup in our diffusion index. The easing in "for sale" floor space inventory to sales over the past two years has reduced some of the housing overhang, which may cause a moderate boost to new housing construction. Chart 6 highlights that the ratio of residential floor space started to sold has fallen significantly over the past few years, as inventories have been drawn down. Since most of the economic impact from housing comes through the construction process, a pickup in floor space started could shift the growth outlook for China in a positive direction. On the negative side, while survey data suggests that Chinese consumers are upbeat and are looking to buy a home (Chart 7), other indicators suggest that this pickup in interest may be occurring due to unfounded optimism about future employment and/or income. First, we have highlighted in several reports over the past months that the Li Keqiang index is falling (driven significantly by monetary tightening, including rising mortgage rates), which suggests that China's business cycle is shifting down, not up. This clearly raises the risk that income and employment growth with downshift with it. Second, Chart 8 highlights that the employment components of the official manufacturing and services PMIs have stagnated again, after having picked up in 2016 and early-2017. Third, Chart 9 illustrates that while per capita disposable income growth for urban households did pick up during the same period as the employment PMIs, it may be in the process of peaking (especially given the weak Q4 print). Chart 6An Easing In Inventories May Boost##br## New Housing Construction An Easing In Inventories May Boost New Housing Construction An Easing In Inventories May Boost New Housing Construction Chart 7Chinese Consumers ##br##Are Upbeat... Chinese Consumers Are Upbeat... Chinese Consumers Are Upbeat... Chart 8...But Employment Prospects Aren't Great... ...But Employment Prospects Aren't Great... ...But Employment Prospects Aren't Great... Chart 9...And Neither Is Recent Income Growth ...And Neither Is Recent Income Growth ...And Neither Is Recent Income Growth Investment Strategy Implications The first investment strategy implication is that our analysis is consistent with a benign view of the ongoing economic slowdown in China, which supports an overweight stance towards Chinese investable stocks within an emerging market or global equity portfolio. While it is too soon to conclude that housing is about to enter a significant upturn, the risk of a material housing downturn has somewhat eased. Second, a potential pickup in China's housing sector raises the question of whether construction-related sectors are poised to significantly outperform China's investable benchmark over the coming year. We recently closed our long investable building materials / short investable benchmark trade as part of a stringent trade review process, based on the view that a significant upturn in the housing market was far from guaranteed. Our analysis in this report supports that decision, as signs of a significant pickup are tentative at best. However, we will be actively looking to re-open the trade at some point over the coming months were we to observe compelling evidence that a significant acceleration in housing construction is imminent. Third, signs of a potential inflection point in China's housing market would normally be positive for the investable real estate stocks, but the outlook for this sector is clouded by its massive outperformance over the past year. We last wrote about real estate stocks in a September Weekly Report,2 and argued that a positive re-rating from extremely discounted levels had further to run. Indeed, our composite valuation indicator highlights that real estate stocks have merely become fairly valued over the past year (Chart 10), despite a 95% US$ price return in 2017. While this underscores that there has been a major fundamental improvement for Chinese investable real estate companies, Chart 11 highlights that these stocks are now priced for another year of 20-30% EPS growth, which may be a tall order unless a very substantial pickup in Chinese housing market activity materializes. Chart 10Chinese Real Estate Stocks ##br##Are Not Overvalued... Chinese Real Estate Stocks Are Not Overvalued... Chinese Real Estate Stocks Are Not Overvalued... Chart 11...But They Are At Risk Of ##br##An Earnings Disappointment ...But They Are At Risk Of An Earnings Disappointment ...But They Are At Risk Of An Earnings Disappointment For now, the BCA China Investable Sector Alpha Portfolio that we introduced in our January 11 Special Report continues to support an overweight stance towards the investable real estate sector (Table 1),3 and we are reluctant to recommend that investors cut their exposure to these stocks. Still, tight stops may be warranted, especially if the recent pickup in residential floor space sold proves to be fleeting. Table 1Our Investable Sector Alpha Portfolio Still Favors Real Estate Stocks Is China's Housing Market Stabilizing? Is China's Housing Market Stabilizing? Jonathan LaBerge, CFA, Vice President Special Reports jonathanl@bcaresearch.com 1 Please see China Investment Strategy Weekly Report, "Tracking The End Of China's Mini-Cycle", dated October 12, 2017, available at cis.bcaresearch.com. 2 Please see China Investment Strategy Weekly Report, "Chinese Real Estate: Which Way Will The Wind Blow?", dated September 28, 2017, available at cis.bcaresearch.com. 3 Please see China Investment Strategy Special Report, "China: No Longer A Low-Beta Market", dated January 11, 2018, available at cis.bcaresearch.com. Cyclical Investment Stance Equity Sector Recommendations

Equities suffered a sizable setback over the past three trading sessions correcting from peak-to-trough 10% (top panel). While several reasons can be blamed for the recent drawdown, we continue to believe that sentiment went to extremes and it is now just correcting lower (please refer to our January 22nd Weekly Report for the five signposts we identified that were worth monitoring for a tactical pullback). Likely a capitulation was hit as all of the Nasdaq 100 and DOW 30 stocks were in the red and just two S&P 500 stocks were positive after Monday's plunge, trading volumes spiked, and the VIX futures curve (3rd month/front month) collapsed to a level even below the August 24th 2015 nadir. Encouragingly, the bond market reacted as one would expect, and investors sought the safety of the global risk free asset, 10-year Treasurys, pushing yields sharply lower (middle panel). Caution is still warranted in the near-term, and our strategy remains to book gains in our high-conviction list high-flyers once trailing stops get triggered. On Monday, our high-conviction underweight in the S&P utilities sector got stopped out for a gain of 18% (bottom panel), and we are thus taking profits and removing it from the high-conviction underweight list. From a risk management perspective, we are also compelled to lift the trailing stop on the high-conviction underweight S&P semi equipment index from 15% to 20% in order to protect profits. Nevertheless, from a cyclical 9-12 month perspective we remain constructive on the broad market given our view of the continuation of the business cycle expansion and our investment strategy is to "buy this dip". Stay tuned. Stocks Take An Escalator Up, And An Elevator Down Stocks Take An Escalator Up, And An Elevator Down