Sectors

Highlights The global 6-month credit impulse is now in its longest upcycle in a decade. Given also that bond yields have had their sharpest spike in a decade, we would not bet on the upcycle lasting much longer. Lean against the rise in bond yields and bank equities. Underweight the Eurostoxx600 versus the S&P500. Underweight the IBEX versus the Eurostoxx600. Feature A few days into the New Year, two over-arching economic questions are exercising our minds. Is the relationship between sharply higher bond yields and weaker bank credit creation still valid? And is the relationship between weaker bank credit creation and decelerating economic growth still valid? Chart of the WeekCredit Impulses Heading In Different Directions We suspect the answers are yes and yes. European Investors Must Think Globally, Not Locally Europe is not an investment island. Major European stock market indexes comprise large multinational companies whose sales and profits come from across the world. The upshot is that European stock markets almost always move up and down in tandem with other major world stock markets, such as the S&P500 and Nikkei225 (Chart I-2). Mainstream bond markets might seem to be more parochial, given that they are supposedly under the influence of the local central bank. But investors buy and sell high quality bonds as a global asset class. The upshot is that European bond markets also almost always move up and down in tandem with other major developed bond markets (Chart I-3). Chart I-2Major Equity Markets Move Together Chart I-3Major Bond Markets Move Together Hence, European investors must look first and foremost at global drivers. For us, the most important such driver is the global 6-month credit impulse - which sums the 6-month (dollar) credit impulses in the euro area, the United States and China. Does the global 6-month credit impulse have any predictive power? Yes. Chart I-4 shows that it has consistently led the 6-month cycle in the global government bond yield, which is a good proxy for the global growth cycle. Admittedly, this powerful predictive relationship weakened somewhat through 2013-14 during the most aggressive and distortive phase of worldwide QE. However, in the past couple of years, as QE has waned, the global 6-month credit impulse's predictive power has strongly re-asserted itself (Chart I-5). Chart I-4The Credit Impulse Leads ##br##The Global Growth 'Mini-Cycle' Chart I-5The Credit Impulse's Predictive ##br##Power Has Re-Asserted Itself In effect, the charts illustrate that whatever the structural economic backdrop, the global economy experiences a perpetual 'mini-cycle' lasting about 15-24 months. Higher bond yields (or credit restrictions) weaken the credit impulse; the weaker impulse then depresses growth; the depressed growth lowers bond yields; lower bond yields (or credit easing) strengthen the credit impulse; the stronger impulse then boosts growth; the boosted growth lifts bond yields; and back to the beginning... Remember, the credit impulse measures the growth in the credit flow. The important point to grasp is that the impulse can weaken even if the credit flow numbers themselves seem strong. For example, if the credit flow increased from $100bn to $150bn to $190bn it might appear to be growing very healthily. But actually, the impulse would have weakened from $50bn to $40bn, creating a headwind. Where are we in the perpetual mini-cycle? Today, the euro area credit impulse is losing momentum, while the U.S. impulse is waning. Which leaves China's rising credit impulse as the only component supporting the global credit impulse (Chart of the Week). But for how much longer? To repeat, it would just take the global credit flow to decelerate for the impulse to roll over. Now consider that high-quality bond yields have had their sharpest 6-month spike in a decade. And that the current 10 month upcycle in the global credit impulse already makes it the longest in a decade. Hence, we would not bet on this mini-upcycle lasting much longer. A Few Words On Our Credit Cycle Framework Our credit cycle framework has several features which uniquely define it. First, the framework focusses on bank credit. This is because the magic of fractional reserve banking allows a bank to create money and new spending power out of thin air. When somebody borrows from a bank, his bank account and spending power goes up, but nobody's spending power has to go down. In contrast, when somebody borrows by issuing a bond, it merely reallocates spending power from one person to another person. The borrower sees his bank account and spending power go up, but the lender sees his bank account and spending power go symmetrically down. Spending will rise to the extent that the borrower has a higher propensity to spend than the lender, but this may or may not be the case. Second, as already discussed, the framework focusses on the bank credit impulse - which measures the growth in the bank credit flow. This is just to compare apples with apples. Remember that GDP is itself a flow statistic. So the growth in GDP receives a contribution from the growth in the credit flow1 (and not from the flow itself). Third, the framework focusses on the 6-month bank credit impulse. We choose this periodicity because 6 months is about the time that it takes to for credit to be fully spent, thereby yielding the greatest predictive power from the credit impulse to economic activity. Fourth, the framework calculates the credit cycle using bank credit to the non-financial sector2 rather than the more commonly-quoted money supply statistics such as euro area M3. The simple reason is that not all loans generate economic activity. Bank to bank lending may stay trapped in the financial system. The money supply - which is on the liabilities side of the banks' balance sheet - would not pick up this distinction. As M3 captures all bank deposits, it would still be expanding rapidly, giving the false signal that demand should be growing. Hence, it is better to focus on bank lending - which is on the assets side of the banks' balance sheet - and only count lending that is likely to generate economic activity (Chart I-6). This reasoning only works if the official data on bank loans is accurate and complete. In China, this is unlikely to be the case, given its large shadow banking system. But unofficial shadow lending must eventually show up in the money supply. Therefore, exceptionally for the China sub-component, our credit cycle framework does prefer to use the money supply (Chart I-7). Chart I-6Our Euro Area Credit Impulse##br## Uses Bank Lending... Chart I-7...But Our China Credit Impulse ##br##Uses Money Supply A Few Words On Our Reductionist Framework We are also strong believers in Investment Reductionism. This philosophy stems from two guiding principles: Occam's Razor - which says that when there are competing explanations for the same effect, the simplest explanation is usually the best; and the Pareto Principle - which says that 80% of effects come from just 20% of causes.3 The important point is that most of the moves in most financial markets result from a very small number of over-arching macro drivers. To reiterate, Europe is not an investment island. Investment Reductionism means that much of asset allocation, sector selection, and regional and country allocation distills down to getting the global growth cycle right. The remaining charts should leave readers in no doubt. Chart I-8 shows that the global 6-month credit impulse leads the cyclical direction of the global bond yield, and thereby determines asset class selection. Chart I-9 then shows that the direction of bond yields determines sector selection: for example Banks versus Technology. Chart I-8Investment Reductionism Step 1: The Global##br## Credit Impulse Leads The Bond Yield Cycle Chart I-9Step 2: The Bond Yield ##br##Drives Sector Selection Chart I-10 and Chart I-11 then show that the sector selection of Banks versus Technology determines both the regional allocation of Eurostoxx600 versus S&P500, and the country allocation of IBEX versus Eurostoxx600. Chart I-10Step 3: Sector Selection Drives##br## Regional Allocation Chart I-11Step 4: Sector Selection Drives ##br##Country Allocation To sum up, the global 6-month credit impulse is now in its longest up-cycle in a decade, and bond yields have had their sharpest spike in a decade. Hence, we would not chase cyclicality at this juncture. Which means that on a 6-month horizon: Lean against the rise in bond yields and bank equities. Underweight the Eurostoxx600 versus the S&P500.4 Underweight the IBEX versus the Eurostoxx600. Dhaval Joshi, Senior Vice President European Investment Strategy dhaval@bcaresearch.com 1 Equivalently, the credit impulse is the growth in the growth (second derivative) of the credit stock. 2 The non-financial sector includes households, (non-financial) firms and government. 3 Often known as the 80-20 rule. 4 BCA Strategists differ on this position. Fractal Trading Model* This week's trade is to express a tactical short in equities via Italy's MIB. An alternative market-neutral trade is to go short Italy's MIB and symmetrically long Hong Kong's Hang Seng. * 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 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-12 Chart I-13 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 Chart II_2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Interest Rate Chart II-5Indicators To Watch ##br##- Interest Rate Expectations Chart II-6Indicators To Watch ##br##- Interest Rate Expectations Chart II-7Indicators To Watch##br## - Interest Rate Expectations Chart II-8Indicators To Watch##br## - Interest Rate Expectations

Special Report

"That as the only possible policy in our day for a conqueror to pursue is to leave the wealth of a territory in the complete possession of the individuals inhabiting that territory, it is a logical fallacy and an optical illusion in Europe to regard a nation as increasing its wealth when it increases its territory, because when a province or state is annexed, the population, who are the real and only owners of the wealth therein, are also annexed, and the conqueror gets nothing." 1 Norman Angell's "The Great Illusion" posited in the early 1910s that war would be futile for developed nations, especially given the rising importance of economic and financial ties. Nevertheless, the arms race from the late-1800s gained momentum and eventually led to the Great War, dealing a devastating blow to his arguments. The European armament dynamics of the late-19th century/early 20th century are eerily reminiscent of the current post-Great Recession global arms race. Back then Germany, Austria-Hungary and Italy on one side, and Britain, France and Russia on the other, were fiercely trying to outpace each other in military expenditures. The crumbling Ottoman Empire along with the newly created smaller states in Greece, Serbia, Bulgaria and Romania were also eager weapons purchasers. Today, a fresh military expenditure-related development pops up almost daily. Not only are the U.S. and China boosting military spending, but also Japan, Australia, India, Vietnam, Saudi Arabia, Turkey, Russia, etc (Chart 1).2 The list goes on and on. The driving factor is "multipolarity," i.e. the emergence of multiple competing great powers, which BCA's Geopolitical Strategy service has shown to be a key investment theme.3 Chart 1U.S. Defense Spending Is More Than The Rest Of The World Combined While we are not arguing that WWIII will erupt in the coming years, the purpose of this Special Report is to identify the winning global equity sectors from the intensifying global arms race (Chart 2): global defense stocks come atop of our list, but also global space-related equities and cyber security firms would be beneficiaries of the secular increase in military outlays. On a regional basis, the U.S. defense stocks are the only game in town, but undiscovered Chinese, and to a lesser extent Russian, defense stocks are intriguing as are Israeli defense and tech stocks (please refer to the Appendix below for ticker symbols). Chart 2Intensifying Global Arms Race Late 19th/Early 20th Century: Militarism, Globalization & Finance Back in the late-1800s, the ascendancy of Germany was challenging the hegemony of Britain, fueling a European-wide arms race. Smaller newly formed states were also on the hunt for the latest and greatest weaponry. During the Balkan Wars of 1912-13 airplanes were deployed in combat for the very first time, highlighting the importance of new technology. Behind this explosive European rearmament were a few large British companies (Vickers Sons & Maxim Ltd, Armstrong and Whitworth, and Coventry Ordnance Works). "By 1905, its capital of £7.4 million ranked Vickers sixth amongst British companies; Armstrong Whitworth, with 5.3 million pounds capital was eleventh".4 Basil Zaharoff, who acted as general representative for business abroad for Vickers,5 was reputedly one of the richest men in the world.6 Moreover, globalization was on the rise in the late 19th century, as evidenced by global imports as a percentage of GDP (Chart 3). Industrialization coupled with imperialism and the colonization of Asia and sub-Saharan Africa along with population growth and rising demand for commodities were key drivers behind the jump in 19th century globalization. Finally, all of this was made possible by cross-boarder finance. Trade finance and credit growth skyrocketed in the late-1800s and the rising interconnectedness of global financial centers was most evident in the 1907 stock market panic that originated in the U.S., but spread like wildfire to the rest of the world. Chart 3Twin Peaks Of Globalization? Chart 4Heeding The Early 1960s Parallel What About The 1960s? The idea of militarily outspending opponents was very evident in the early-1960s when U.S. defense spending surged by 20% on a year-over-year basis (Chart 4), bolstering demand once again for military contractors. The mutually assured destruction (MAD) doctrine of military strategy and national security policy declared overtly in the early-1960s by U.S. defense secretary Robert McNamara and the Space Race competition between the Cold War rivals also have striking similarities with today, as far as investment implications are concerned. Parallels With Today China's ascendency to a world power large enough to challenge the hegemony of the U.S. is a sea change.7 The rearmament of East Asia is reminiscent of late 19th and early 20th century Europe and involves Japan, Australia, South Korea, Vietnam and India. All of the Middle East, along with Turkey and Russia, are on a structural military spending spree. European NATO fringe states are also arming furiously (Chart 5), trying to thwart Russia's regional ambitions. In the U.S., despite the Budget Control Act of 2011 (sequestration), the CBO projects that defense spending will rise gradually from $586 billion in 2015 to $739 billion by 2026 (Chart 6). This is before any push for a fiscal spending thrust that both presidential candidates have proposed, which would include increased defense outlays. While as a percentage of GDP defense spending may drift sideways, in absolute terms it will likely rise, and thus boost demand for defense contractors. Chart 5Stealthy Rise In Defense Outlays Chart 6CBO Estimates New Defense Spending Highs Globalization has hit an apex recently (Chart 3).8 The world is still licking its wounds from the recent GFC, where U.S. financials stocks were so intertwined with their global peers that the crisis effectively brought down to its knees the global financial system and gave birth to unorthodox monetary policy that Central Banks are still currently deploying. Global Rearmament Beneficiaries If our hypothesis that a global arms race will continue to heat up in coming years pans out, then owning global defense stocks as a structural bet will pay handsome dividends. The global push away from austerity and toward more fiscal spending should also support aggregate defense demand. Thus, there are high odds that global defense stocks are primed to deliver absolute positive returns, irrespective of where the broad global equity market drifts in the next five years. Similar to Vickers and Armstrong and Whitworth making impressive stock market strides early last century, global defense stocks should continue to be high flyers. The early-1960s U.S. aerospace & defense (A&D) stocks are the only close stock market parallel we have come across in our analysis (given data constraints) and comparing this index's available metrics of that era with today is in order. A big pushback to the U.S. Equity Strategy service's constructive view on the U.S. defense index (since the late-2015 inception) has been that the valuations of these stocks are already full, leaving no valuation cushion for any mishaps (Chart 7). True, defense stocks are on the expensive side, but not if they manage to grow into their valuations, as we expect. Relative performance was up over 100% in a span of four years in the 1960s (Chart 8), as U.S. aerospace & defense industrial production (IP) swelled to a 20% per annum clip with utilization rates running at 95% (Chart 8). A&D factories were humming, racing to fulfill orders as U.S. military expenditures were thriving (Chart 4). Chart 7Buy Global Defense Stocks Chart 8In The 1960s A&D Factories Were Humming... This demand surge translated into a jump in sector sales momentum (Chart 4), and given the industry's high operating leverage, earnings and book values soared. From trough to peak, sector EPS rose more than 400%, margins expanded from sub 2% to nearly 8%, and book value doubled (Chart 9). That stellar performance justified initial valuation premiums at the time. Using that period as a guide would imply that there is ample upside left for relative performance of the global defense index (that is a pure play on global defense spending). For comparison consistency, we use U.S. A&D figures. Currently, U.S. A&D IP is contracting, with resource utilization running at 80%. U.S. A&D relative performance has risen a mere 30% since the Great Recession (Chart 10). Chart 9...Boosting The Allure Of ##br## A&D Stocks Chart 10If History At Least Rhymes, ##br## There Is Still Ample Upside... Likely, the advance is still in the early innings, and analysts have been very slow to upgrade their EPS estimates accentuating the apparent overvaluation. Importantly, 5-year forward relative EPS growth estimates are deep in negative territory which is very perplexing given the upward trajectory of industry demand (Chart 11). Given that we only have access to data for MSCI All-Country World aerospace & defense long-term EPS expectations the caveat is that some of the poor expectations and performance could be because of the waning aerospace delivery cycle. Unlike the deteriorating health of the broad corporate sector, profit margins are expanding and net debt-to-EBITDA is a comfortable 1.2x. Similarly, interest coverage ratio is near an all-time high of 8x (Chart 12), while the overall markets EBIT/interest expense ratio is half that. Chart 11...Especially ##br## Given Depressed Analysts' Expectations Chart 12Defense ##br## Wins Championships Global defense sector return on equity (ROE) is almost 30% and rising (Chart 13), whereas global non-financial corporate (NFC) ROE is hitting multi-year lows, with the U.S. NFC ROE plumbing all-time lows (Chart 14). Free cash flow is also growing briskly and the industry is making greenfield investments, with capex growing 9.5% year-over-year, the mirror image of the global NFC sector that is pruning capital outlays (middle and bottom panels, Chart 13). Chart 13Defense Flexing ##br## Its Muscles... Chart 14...Vs. The Atrophy In The U.S. ##br## Non-Financial Corporate Sector On the valuation front, modest overvaluation exists, as portrayed by the high relative price-to-cash flow and price-to-book multiples. However, the global defense stocks forward P/E ratio and EV/EBITDA multiple are on an even keel with the broad market (Chart 15), and if our thesis that a secular uptrend in defense-related demand looms proves accurate, then these stocks are not expensive, but on the contrary still represent a buying opportunity. Chart 15Mixed Signals On The Relative Valuation Front Chart 16Defense Is The Best Offense The Rise In Terrorism, Global Space Race And Cyber Security Threat The unfortunate structural increase in terrorist activity will also embolden governments around the world to step up defense spending (top panel, Chart 16).9 The latter tends to move in long cycles. U.S. defense industry revenues have already begun to outpace those of the overall S&P 500, and a prolonged upturn lies ahead, based on the message from the previous upcycle. From a cyclical perspective, the defense capital goods shipments-to-inventories ratio is outpacing the overall manufacturing sector (second panel. Chart 16), reinforcing the case for ongoing earnings outperformance. The same also holds true in Europe. Western European terrorist attacks have increased, heralding further relative gains for the euro area aerospace & defense index (bottom panel, Chart 16). Beyond the disastrous spike in terrorism, the global space race is also gaining traction, with China spearheading the charge. There is a good chance that China will attain geosynchronous orbit satellites (residing more than 20,000 miles above the earth), challenging U.S. space dominance. India's space aspirations are grand and it is slowly and stealthily rising up the ranks on the space race. Moreover, as more countries aim to have manned space missions, that translates into higher space budgets and thus firming demand for space-related expenditures (Chart 17). Chart 17Space, The Final Frontier Finally, the number of cyber-attacks is also on the rise globally. Defending against attacks is a challenge. Not only does the cyber space domain definition remain elusive, but tracking hackers down is also increasingly difficult given the vastest of the internet, lack of global uniform policing methods and physical country borders. Crudely put, it is a lot easier for a Chinese or Russian hacker to deal a blow, for example, to U.S. nuclear infrastructure rather than physically deliver an attack. All of this suggests that investment in anti-hacking and counter cyber-attack capabilities is necessary around the globe in order to thwart cyber-terrorism. Risks To Our View While there is conceivably a risk that China will abruptly halt its intense militarization and make a U turn in its long-term strategy of becoming a military superpower, we assign a very low probability to such a turn of events. The global push for more fiscal spending may not materialize, which would be a risk to our sanguine global defense spending view. As Paul Volcker and Peter Peterson recently opined in a NY Times article10 - offering a different view from the always-articulate Larry Summers - prudent and fiscally responsible spending is in order given the excessive debt-to-GDP ratio that is probing war-like levels (Chart 18). This excessive debt overhang is not only a U.S. phenomenon, but also a global one spanning both advanced and emerging economies. Chart 18Excessive Debt Is A Risk To Bullish View On Global Defense Stocks One final risk is that the world will enter a prolonged peace phase and global terrorism will get quashed, with conflicts dying down in the Middle East, Russia reining in its imperialistic ambitions and China ceasing to stir the waters in the South and East China Seas. We would also assign low odds to this optimistic "no conflict phase" scenario, but it would indeed be welcome. Investment Conclusion Factors are falling into place for a structural outperformance period in the global defense index. The early-1900s and early-1960s parallels, coupled with the trifecta of terrorism, space race and cyber security all point to upbeat demand for defense-related goods and services. Expressing this buoyant view can be done from a bottom up perspective. The Appendix below highlights all the companies in the global defense index we track from Datastream and the alternative one from Bloomberg. An investable proxy is the U.S. aerospace & defense index as the U.S. dominates global A&D indexes and aerospace outfits also sport significant defense corporate segments (please see the Appendix below for relevant tickers). There are also three fairly liquid ETFs mimicking the U.S. A&D index: ITA:US, PPA:US & XAR:US. Moreover, below are a few more speculative investment ideas. Given China's dominance of global defense spending (ex-U.S.) we are confident that Chinese A&D stocks will also be eagerly sought after and deliver alpha in the coming years (please refer to the Appendix below for a list of China plays). If one has the resilience and the stomach to invest in Russian equities given high political and currency risk, then Russian A&D stocks may be a desirable vehicle. Russia remains a massive weapons exporter with a large sphere of influence. We would not underestimate the returns in local currency of some Russian A&D stocks (the Appendix below lists some Russian A&D listed firms). Finally, Israel A&D and IT companies either listed on NASDAQ or domestically in Tel Aviv offer some great opportunities for investors that can handle riskier investments. Not only Israel's geography, but also its intense IT/military focus and entrepreneurial culture imply that a number of these companies will be long-term winners (please see the Appendix below for relevant tickers). While most of the drones, space-related, and highly specialized IT companies are private, there is a drone and an anti-hacking ETF (IFLY:US & HACK:US). On the space front, we are tracking an index that comprises a number of space-related constituents that we show in the Appendix below. Nevertheless, most of these companies are categorized under A&D. Bottom Line: We are initiating a structural overweight in the global defense index with a longer-than-usual five year secular investment horizon. The re-rating phase in this index is still in the early innings. Anastasios Avgeriou, Vice President Global Alpha Sector Strategy anastasios@bcaresearch.com Appendix Table A1BI Global Defense Primes Competitive Peers Table A2World Defense Index (DS: DEFENWD) Table A3S&P 500 Aerospace & Defense Index ##br## (S5AERO Index) Table A4China ##br## Aerospace & Defense Table A5Russia & Israel Aerospace & Defense Table A6Kensho Space Index 1 Angell, Norman (1911), The Great Illusion: A Study of the Relation of Military Power in Nations to their Economic and Social Advantage, (3 ed.), New York and London: G.P. Putnam's & Sons. 2 Please see BCA Geopolitical Strategy Monthly Report, "The Great Risk Rotation," dated December 11, 2013, available at gps.bcaresearch.com 3 Please see BCA Geopolitical Strategy Monthly Report, "Multipolarity And Investing," dated April 9, 2014, available at gps.bcaresearch.com 4 Angell, Warren, Kenneth (1989), Armstrongs of Elswick: Growth In Engineering And Armaments To The Merger with Vickers, London, The Macmillan Press Ltd. 5 http://www.oxforddnb.com/index/38/101038270/ 6 https://www.britannica.com/biography/Basil-Zaharoff 7 Please see BCA Geopolitical Strategy Special Report, "Sino-American Conflict: More Likely Than You Think, Part II," dated November 6, 2015, available at gps.bcaresearch.com 8 Please see BCA Geopolitical Strategy, "The Apex Of Globalization - All Downhill From Here," in Monthly Report, "Winter Is Coming," dated November 12, 2014, available at gps.bcaresearch.com 9 Please see BCA Geopolitical Strategy Special Report, "A Bull Market For Terror," dated August 5, 2016, available at gps.bcaresearch.com 10 http://www.nytimes.com/2016/10/22/opinion/ignoring-the-debt-problem.html?_r=0

Overweight One of the most glaring divergences between our macro indicators and relative share price performance exists in the consumer staples sector. Since the U.S. election, this sector has been used as a source of capital to fund more speculative investments in areas levered to global economic growth, such as industrials. An exploitable undershoot has developed in a sector with one of the best 12 and 24-month track records during Fed tightening cycles. The sector is undervalued, and is resting at an oversold extreme, based on our Technical Indicator. Our Cyclical Macro Indicator for the sector is grinding higher, supported by consumers' persistent preference for saving vs. spending, a plus for retail sales at non-discretionary stores. Tack on a budding recovery in consumer staples exports (bottom panel), and the nascent acceleration in sector sales growth should strengthen further, supporting earnings outperformance. For our complete list of high-conviction calls, please refer to yesterday's Weekly Report.

Yesterday, we introduced our top ten high conviction calls for 2017. The turn of the calendar does not require a change in strategy. Navigating a Fed tightening cycle, a divergence between economic and profit performance and significant patience with respect to the rollout of fiscal stimulus will all be critical to driving sub-surface equity performance this year. Moreover, we expect the U.S. dollar to remain firm, based on the relentless widening in interest rate differentials and policy divergences with the rest of the world. As such, our key themes of favoring domestic vs. globally-exposed equities, and consumer-geared vs. corporate spending-dependent industries remain intact. Perhaps our biggest out of consensus call is to overweight the much maligned consumer staples sector, please see the next Insight.

Highlights Chart 1Upside Risks & Uncertainty The evidence of economic acceleration continues to pile up and we maintain our view that bond yields will be higher than current forwards by the end of 2017. In the near-term, however, the bond market has been too quick to discount a more positive growth outlook, especially considering still-elevated levels of economic policy uncertainty. Our cautious optimism is echoed by the readings from our global PMI models and also by the Fed. The minutes from December's FOMC meeting revealed that more participants saw upside risks to growth and inflation than saw downside risks, but also that this improved economic forecast was judged to be more uncertain than any Fed forecast since 2013 (Chart 1). We remain bond bears on a 12-month horizon, but advocate a benchmark duration stance in the near term. A period of flat bond yields is the most likely outcome until elevated uncertainty levels revert to a more normal range (see the global economic policy uncertainty index). Feature Investment Grade: Neutral Chart 2Investment Grade Market Overview Investment grade corporate bonds outperformed the duration-equivalent Treasury index by 82 basis points in December and by 478 basis points in 2016. The index option-adjusted spread tightened 6 bps on the month and 42 bps on the year. At 122 bps, the spread is currently well below its historical average (134 bps). Corporate spreads have tightened substantially since last February despite elevated gross leverage (Chart 2).1 As we pointed out in our end-of-year Special Report titled "Seven Fixed Income Themes For 2017",2 it is very rare for spreads to tighten when leverage is in an uptrend. While a rebound in profit growth will likely cause the uptrend in leverage to abate this year, spreads have already moved to discount a significant reversal. Although valuations are by no means attractive, accelerating economic growth and still-accommodative Fed policy will keep spreads at tight levels during the first half of this year. This sweet spot will persist at least until TIPS breakeven inflation rates return to pre-crisis levels, which would likely presage a hawkish shift in Fed policy. Energy sector debt returned 12.5% in excess of duration-equivalent Treasuries in 2016, compared to excess returns of under 5% for the overall corporate index. Despite this large outperformance, energy credits still appear attractive according to our model (Table 3), and should continue to outperform into the New Year. Table 3ACorporate Sector Relative Valuation##br## And Recommended Allocation* Table 3BCorporate Sector##br## Risk Vs. Reward* High-Yield: Underweight Chart 3High-Yield Market Overview High-yield outperformed the duration-equivalent Treasury index by 188 basis points in December and by 1539 basis points in 2016. The index option-adjusted spread narrowed 46 bps on the month and 251 bps on the year. At 383 bps, it is currently 137 bps below its historical average. As we highlighted in our year-end Special Report,3 the uptrend in defaults is likely to reverse this year, mostly due to recovery in the energy sector. However, still-poor corporate health and tightening monetary policy will lead to a resumption of the uptrend in 2018 and beyond. Given the improving default backdrop, we are actively looking to upgrade our allocation to high-yield debt. However, valuations do not present a sufficiently compelling opportunity at the moment. Our estimate of the default-adjusted high-yield spread - the average spread of the junk index less our forecast of 12-month default losses - is below 150 bps (Chart 3). This is close to one standard deviation below the long-run average. Historically, we have found that a default-adjusted spread between 100 bps and 200 bps is consistent with positive 12-month excess returns 65% of the time, but with an average 12-month excess return of close to zero. With the spread in this range, a 90% confidence interval would place 12-month excess returns between -3% and +4%. MBS: Underweight Chart 4MBS Market Overview Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 6 basis points in December, but underperformed by 11 bps in 2016. The conventional 30-year MBS yield rose 5 bps in December, completely driven by a 5 bps increase in the rate component. The compensation for prepayment risk (option cost) and option-adjusted spread were both flat on the month. In 2016, the conventional 30-year MBS yield rose 6 bps. This was driven by a 12 bps increase in the rate component that was partially offset by a 9 bps decline in the option-adjusted spread. The option cost increased 3 bps on the year. Our underweight in MBS is predicated upon very low option-adjusted spreads, relative both to history and other comparable spread product (Chart 4). Historically, the option-adjusted spread is correlated with net MBS issuance and eventually we expect rising net issuance to lead the option-adjusted spread wider. Importantly, purchase applications have remained firm in the face of higher mortgage rates even though refinancings have collapsed (bottom panel). Another tail risk for the MBS market is the possibility that the Fed ceases the reinvestment of its mortgage portfolio. While we do not expect this to occur in 2017, with two rate hikes now in the bank the fed funds rate is approaching levels where the Fed might begin to consider it. A new Fed Chair in early 2018 might also be more inclined to wind down the balance sheet. Government Related: Overweight Chart 5Government Related Market Overview The government-related index outperformed the duration-equivalent Treasury index by 27 basis points in December. Foreign Agency and Sovereign bonds outperformed by 84 bps and 83 bps respectively, while Local Authorities outperformed by 22 bps. Domestic Agency bonds and Supranationals were a drag on performance during the month, underperforming the Treasury benchmark by 10 bps and 7 bps respectively. The government-related index outperformed the duration-equivalent Treasury benchmark by 150 bps in 2016. The best performing sub-sectors for the year were Sovereigns (outperformed by 322 bps), Local Authorities (outperformed by 286 bps) and Foreign Agencies (outperformed by 258 bps). Domestic Agency bonds outperformed Treasuries by 38 bps, while Supranationals underperformed by 11 bps. Foreign Agency bonds and Local Authority bonds continue to appear attractive relative to U.S. corporate credit, after adjusting for credit rating and duration. We recommend focusing our government related allocation in these two sectors. In contrast, Sovereigns and Supranationals both appear expensive relative to U.S. corporate credit, and we recommend avoiding these sectors. Spreads on Domestic Agency debt have room to tighten in the near-term (Chart 5). Spreads widened to the top of their recent range last month on rumors that the new government could seek to speed up the process of GSE reform. We view these concerns as premature. This week we also remove our recommendation to favor callable agencies over bullets. Bullets have tended to outperform when the 2/5 Treasury slope steepens (bottom panel). We expect the 2/5 curve to be biased steeper in the first half of this year. Municipal Bonds: Underweight Chart 6Municipal Market Overview Municipal bonds outperformed the duration-equivalent Treasury index by 134 basis points in December, but underperformed the index by 103 basis points in 2016 (before adjusting for the tax advantage). The average Municipal / Treasury (M/T) yield ratio fell 8% in December, but increased 13% during 2016. At present the average M/T ratio is 98%, only slightly below its post-crisis average (Chart 6). Although M/T ratios moved higher last year, trends in issuance and fund flows suggest they are still too low. As we noted in our year-end Special Report,4 our tactical model of the M/T yield ratio - based on issuance, fund flows, ratings changes and economic policy uncertainty - pegs current fair value for the average M/T yield ratio at 112%. Further, as was also highlighted in our year-end report, the municipal credit cycle is likely to take a turn for the worse in late 2017, with muni downgrades starting to outpace upgrades. This analysis is based on indicators of state & local government budget health that tend to follow our indicators of corporate sector health with a two year lag. Just last month Moody's downgraded $1.6 billion worth of the City of Dallas' general obligation debt from Aa3 to A1. The downgrade was justified based on the city's poorly funded public safety pension plan. Attention will increasingly turn to underfunded public pensions when state & local government budget health starts to deteriorate later this year. Treasury Curve: Favor 5-Year Bullet Over 2/10 Barbell Chart 7Treasury Yield Curve Overview The Treasury curve shifted higher and flattened in December. The 2/10 slope flattened by 1 basis point on the month and the 5/30 slope flattened 6 bps. For 2016 as a whole, the Treasury curve bear-steepened out to the 10-year maturity. The 2/10 slope steepened 4 bps and the 5/30 slope flattened 12 bps. In our year-end Special Report,5 we detailed how the combination of accelerating economic growth and still-accommodative Fed policy will cause the Treasury curve to bear-steepen in the first half of 2017. This steepening will be driven by continued, but gradual, recovery in long-dated TIPS breakeven inflation back to pre-crisis levels (2.4% to 2.5%). Once inflation expectations return to pre-crisis levels, it is possible that the Fed will shift to a monetary policy that is focused more on tamping out inflation than supporting growth. At that point the curve will shift from a bear-steepening to a bear-flattening regime. A steepening curve environment will cause bullet trades to outperform barbells. On top of that, the 5-year bullet is currently extremely cheap on the curve (Chart 7). For these reasons we recommended entering a long 5-year bullet, short 2/10 barbell trade on December 20. This trade has already returned 8 bps since initiation, even though the 2/10 slope has flattened 10 bps during this period. A resumption of curve steepening will cause our long 5-year bullet, short 2/10 barbell trade to perform even better in the months ahead. TIPS: Overweight Chart 8TIPS Market Overview TIPS outperformed the duration-equivalent nominal Treasury index by 6 basis points in December, and by 331 bps in 2016. The 10-year TIPS breakeven rate increased by 1 bp in December and by 41 bps in 2016. At present it sits at 1.96%, still well below the 2.4% to 2.5% range that is consistent with the Fed's 2% inflation target. As we explained in our year-end Special Report,6 the Fed will be keen to allow TIPS breakevens to rise toward levels more consistent with its inflation target, and will quickly back away from a hawkish policy stance should breakevens fall. But while breakevens will continue to trend higher, the rate of increase should moderate to be more in line with the shallow uptrend in realized inflation. It is difficult for the Fed to drive long-dated inflation expectations higher while it is in the midst of a tightening cycle. For this reason, trends in actual inflation will be a more important determinant of TIPS breakevens than in the past. And while there are indications that the uptrend in realized inflation will persist, notably recent accelerations in wage growth and survey measures of prices paid (Chart 8). There is currently no indication that core and trimmed mean inflation are breaking out to the upside (bottom panel). We remain overweight TIPS relative to nominal Treasuries on the expectation that long-dated breakevens reach the 2.4% to 2.5% range in the second half of 2017, and that core PCE inflation reaches the Fed's 2% target by the end of the year. ABS: Maximum Overweight Chart 9ABS Market Overview Asset-Backed Securities underperformed the duration-equivalent Treasury index by 17 basis points in December but outperformed the Treasury benchmark by 94 bps in 2016. Aaa-rated ABS underperformed Treasuries by 21 bps in December but outperformed by 75 bps in 2016, while non-Aaa ABS outperformed the benchmark by 13 bps in December and by 257 bps in 2016. The index option-adjusted spread for Aaa-rated ABS widened by 11 bps in December, but tightened by 10 bps in 2016. Further, the spread differential between Aaa-rated auto ABS and Aaa-rated credit card ABS narrowed substantially in 2016. The option-adjusted spread for Aaa-rated auto loan ABS has tightened by 20 bps since the end of 2015, while the option-adjusted spread for Aaa-rated credit card ABS has tightened by 10 bps. We have previously noted that, after adjusting for spread volatility, Aaa-rated auto loan ABS no longer offer an attractive opportunity relative to Aaa-rated credit cards (Chart 9). We continue to favor Aaa-rated credit cards over Aaa-rated auto loans, given the low spread differential and divergences in collateral credit quality (bottom panel). As was noted in the Appendix to our year-end Special Report,7 consumer ABS provided better volatility-adjusted excess returns than all fixed income sectors except for Baa-rated corporates and Caa-rated high-yield in 2016. With spreads still elevated relative to other similarly risky fixed income sectors, we expect this risk-adjusted performance to continue. Non-Agency CMBS: Underweight Agency CMBS: Overweight Chart 10CMBS Market Overview Agency CMBS underperformed the duration-equivalent Treasury index by 40 basis points in December, but outperformed by 117 bps in 2016. The index option-adjusted spread for Agency CMBS widened 10 bps in December but tightened 6 bps in 2016. Agency CMBS still offer 50 bps of option-adjusted spread. This is similar to what is offered by Aaa-rated consumer ABS (51 bps) and greater than what is offered by conventional 30-year MBS (26 bps) for a similar amount of spread volatility. We continue to recommend an overweight position in Agency CMBS. Non-agency Commercial Mortgage-Backed Securities underperformed the duration-equivalent Treasury index by 19 basis points in December, but outperformed by 313 bps in 2016. The index option-adjusted spread for non-agency Aaa-rated CMBS widened 7 bps in December but tightened 48 bps in 2016. It has recently moved well below its average pre-crisis level (Chart 10). Rising CMBS delinquency rates and tightening commercial real estate lending standards make us cautious on non-agency CMBS. This caution has only intensified now that spreads are at their tightest levels since prior to the financial crisis. Treasury Valuation Chart 11Global PMI Model The current reading from our 2-factor Global PMI model (which includes the global PMI and dollar sentiment) places fair value for the 10-year Treasury yield at 2.31% (Chart 11). Our 3-factor version of the model, which also incorporates the global economic policy uncertainty index, places fair value at 2.02%. The lower fair value is the result of a large spike in the global economic policy uncertainty index in November that barely reversed in December (bottom panel). Large spikes in uncertainty that do not coincide with deterioration in other economic indicators tend to mean revert fairly quickly. So we would be inclined to view the fair value reading from our 2-factor model as more indicative of true fair value at the moment. However, unusually high uncertainty is one reason we are reluctant to adopt a below benchmark duration stance for the time being even though we expect yields to be higher in 12 months. At the time of publication the 10-year Treasury yield was 2.37% For further details on our Global PMI models please refer to the U.S. Bond Strategy Weekly Report, "The Message From Our Treasury Model", dated October 11, 2016, available at usbs.bcaresearch.com. Monetary Conditions And Rate Expectations The BCA Monetary Conditions Index (MCI) combines changes in the fed funds rate with changes in the trade-weighted dollar using a 10:1 ratio. Historically, economic downturns have been preceded by a break in this index above its equilibrium level - calculated using the Congressional Budget Office's estimate of potential GDP growth (Chart 12). With the MCI having just reached this estimate of equilibrium, the shaded region in Chart 13 shows the expected path of the federal funds rate assuming that the MCI remains at its equilibrium level. The upper-end of the shaded region corresponds to a scenario where the trade-weighted dollar depreciates by 2% per year and the lower-end of the shaded region corresponds to a scenario where the dollar appreciates by 2% per year. The thick line through the middle of the region corresponds to a flat dollar. Chart 12Monetary Conditions Vs. Equilibrium Chart 13Fed Funds Rate Scenarios As can be seen in Chart 13, both the market and Fed are discounting a move in the MCI above its equilibrium level. This would be consistent with behavior witnessed in past cycles when the MCI broke above its equilibrium level several years before the next recession. Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com Alex Wang, Research Analyst alexw@bcaresearch.com 1 Defined as total debt divided by EBITD. 2 Please see U.S. Bond Strategy Special Report, "Seven Fixed Income Themes For 2017", dated December 20, 2016, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Special Report, "Seven Fixed Income Themes For 2017", dated December 20, 2016, available at usbs.bcaresearch.com 4 Please see U.S. Bond Strategy Special Report, "Seven Fixed Income Themes For 2017", dated December 20, 2016, available at usbs.bcaresearch.com 5 Please see U.S. Bond Strategy Special Report, "Seven Fixed Income Themes For 2017", dated December 20, 2016, available at usbs.bcaresearch.com 6 Please see U.S. Bond Strategy Special Report, "Seven Fixed Income Themes For 2017", dated December 20, 2016, available at usbs.bcaresearch.com 7 Please see U.S. Bond Strategy Special Report, "Seven Fixed Income Themes For 2017", dated December 20, 2016, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation Total Return Comparison: 7-Year Bullet Versus 2-20 Barbell (6-Month Investment Horizon)

Highlights Portfolio Strategy A battle between tighter monetary conditions and the anticipation of fiscal largesse will be a dominant market theme this year. Our high-conviction equity allocation calls do not require making a major directional global economic bet, or second guessing the Fed's desire to continue tightening. The bulk of our calls could currently be considered contrarian, based on recent market momentum and sub-surface relative valuation swings. Recent Changes S&P Insurance Index - Downgrade to high-conviction underweight. Nasdaq Biotech Index - Downgrade to high-conviction underweight. Feature Stocks have already paid for a significant acceleration in earnings and economic growth this year and beyond. Fourth quarter earnings season will be the first real test of investor expectations since the post-election market surge. While recent data have been encouraging, forward corporate profit guidance is unlikely to be robust in the face of the U.S. dollar juggernaut. Currently, the hope is that fiscal stimulus will offset tighter monetary settings, ultimately delivering a higher plane of economic activity. The major risks are that the economy loses momentum before fiscal spending cranks up, and/or that profits diverge from a more resilient economic performance than liquidity conditions forecast. Indeed, fiscal stimulus isn't slated to accelerate until next year (Chart 1), while the impact of anti-growth market moves is far more imminent. Our Reflation Gauge has plunged, heralding economic disappointment (Chart 1). With the economy near full employment, Fed hawkishness could persist even in the face of any initial evidence of economic cooling. Under these conditions, the gap between nominal GDP and 10-year Treasury yields could turn negative in the first half of the year (Chart 2), which would be a major warning sign for stocks. Chart 1Fiscal Stimulus Is Still A Long Way Off Chart 2Warning Signal As a result, while the market has recently been focused almost solely on return, our emphasis at this juncture is on minimizing risk. That is consistent with the historic market performance during Fed tightening cycles. Going back to the early-1970s and using the last seven Fed interest rate hiking periods, it is evident that non-cyclical sector relative performance benefits immensely on both a 12 and 24 month horizon from the onset of Fed tightening (Charts 3 and 4). Cyclical sectors typically lag the broad market, while financials generally market perform1. Chart 312-Month Performance After Fed Hikes Chart 424-Month Performance After Fed Hikes Some of the other major macro forces that are likely to influence the broad market and sectoral trends are: Ongoing strength in the U.S. dollar and its drag on top-line growth: loose fiscal policy and tight monetary policy is a classic recipe for currency strength. Tack on high and rising interest rate differentials due to policy divergences with the rest of the world (Chart 5), and exchange rate strength is likely to persist in the absence of a major domestic economic downturn. A tough-talking Fed. Wage growth is accelerating and broadening out, and will sharpen the Fed's focus on inflation expectations. With dollar strength constraining revenue growth potential, strong wage gains are profit margin sapping (Chart 2). A divergence between economic growth and profit performance, i.e. stronger growth is unlikely to feed into equal growth in corporate sector earnings given the squeeze on profit margins from a recovery in labor's ability to garner a larger share of aggregate income. Disappointment and/or uncertainty as to the timing and rollout of the much anticipated fiscal spending programs and unfunded tax cuts. Favoring domestic vs. global exposure will remain a key theme. Emerging markets (EM) have not validated the sharp jump in the global vs. domestic stocks, nor cyclical vs. defensives (Chart 6). Chart 5Greenback Is A Drag##br## On S&P 500 Top Line Growth Chart 6Mind##br## The Gap EM stocks are pro-cyclical, and outperform when economic growth prospects are perceived to be improving. The surging U.S. dollar is a growth impediment for many developing countries with large foreign liabilities to service. The U.S. PMI is gaining vs. the Chinese and euro area PMI (Chart 7, second panel), heralding a rebound in cyclical share price momentum. World export growth remains anemic and will remain so based on EM currency trends (Chart 7). When compared with the reacceleration in U.S. retail sales, the outlook for domestically-sourced profits is even brighter. The other key sectoral theme is to favor areas geared to the consumer rather than the corporate sector. Consumer income statements and balance sheets are far healthier than those of the corporate sector (Chart 8). As a result, they are in a more propitious position to spend and expand. Chart 7Domestics Will Rise To The Occasion Chart 8Consumers Trump The Corporate Sector We expect all of these forces to truncate rally attempts in 2017. The market is already stretching far enough technically to flag risk of a potentially sizeable correction in the first quarter, i.e. greater than 10%, particularly given the significant tightening in monetary conditions and overheating bullish sentiment that have developed. In other words, it is not an environment to chase the post-election winners, nor turn bearish on the losers that have been eschewed. Against this backdrop, we are introducing our top ten high-conviction calls for 2017. As always, these calls are fundamentally-based and we expect them to have longevity and/or meaningful relative return potential, rather than just reflect recent momentum trends. We recognize the difficulty of trading in and out of positions on a short-term basis. Energy Services - Overweight Chart 9Playable Rally The energy sector scores well in relative performance terms when the Fed is hiking interest rates2, supporting a high-conviction overweight in the energy services group. OPEC's agreement to curtail production should hasten supply/demand rebalancing that was already slated to occur via non-OPEC production declines through 2017. U.S. shale producers slashed capital expenditures by 65% from 2014 to 2016, and the International Oil Companies reduced capital expenditures by 40% over the same period. OPEC's decision to trim output should mitigate downside commodity price risks, providing debt and equity markets with confidence to restore capital availability to the sector. With easier access to capital, producers, especially shale, will be able to accelerate drilling programs in a stable commodity price environment. The three factors traditionally required to sustain a playable rally are now in place. The rig count has troughed. The growth in OECD oil inventories has crested. The latter is consistent with a gradual rise in the number of active drilling rigs. Finally, global oil production growth is falling steadily. Pricing power is likely to be slow to recover this cycle given the scope of previous capacity excesses, but even a move to neutral would remove a major drag and reduce the associated share price risk premium (Chart 9). Consumer Staples - Overweight 2016 delivered a number of company specific body blows to the consumer staples sector, most notably concerns about the pharmacy benefit manger pricing model, which undermined the retail drug store group. Thereafter, the sector was shunned on a macro level following the election, as it was used as a source of capital to fund aggressive purchases in more cyclical sectors. This has set the stage for a contrarian buying opportunity in a high quality, defensive sector with one of the best track records during Fed tightening cycles3. The sector is now closing in on an undervalued extreme, in relative terms, having already reached such a reading in technical terms (Chart 10). Our Cyclical Macro Indicator is climbing, supported by the persistent rise in consumers' preference for saving. The latter heralds an increase in outlays at non-cyclical retailers relative to sales at more discretionary stores. Importantly, consumer staples exports have reaccelerated, despite the strong U.S. dollar, pointing to a further acceleration in sector sales growth, and by extension, free cash flow. The strong U.S. dollar is a major boon, from an historical perspective, given that it typically creates increased global economic and market volatility. The latter is starting to pick up (Chart 10). A strong currency, particularly bilaterally against China, also implies a reduction in the cost of imported goods sold, and heralds a relative performance rebound (Chart 11). Chart 10Contrarian Buy Chart 11China To The Rescue? Home Improvement Retail - Overweight Enticing long-term housing prospects argue for looking through the recent rise in mortgage rates. Household formation is reaccelerating, as full employment is boosting consumer confidence, and clocking at a higher speed than housing starts. The implication is that pent-up housing demand will be unleashed. In fact, consumers have only recently started re-levering, with banks more than willing to facilitate renewed appetite for mortgage debt. Remodeling activity is booming and anecdotes of house flipping activity picking up steam are corroborating that the housing market is vibrant. Now that house prices have recently overtaken the 2006 all-time highs, the incentive to upgrade and remodel should accelerate. While the recent backup in bond yields has been a setback for housing affordability, the U.S. consumer is not priced out of the housing market. Yields are rising in tandem with job security and wages. Mortgage payments remain below the long-term average as a share of income and effective mortgage rates remain near generationally low levels. Building supply store construction growth has plumbed to the lowest level since the history of the data. Historically, capacity restraint has represented a boost to home improvement retail (HIR) profit margins and has been inversely correlated with industry sales growth. Stable housing data and improving operating industry metrics entice us to put the compellingly valued S&P HIR on our high-conviction buy list for 2017 (Chart 12). Chart 12Benefiting From Enticing##br## Long-Term Housing Prospects Chart 13Healthy Consumer Is A Boon##br## To Consumer Finance Stocks Consumer Finance - Overweight We are focusing our early-cyclical exposure on overweighting the still bruised S&P consumer finance index. This group is levered to the rising interest rate environment and debt-financed consumer spending. The selloff in the 10-year Treasury bond has been closely correlated with relative performance gains and the current message is to expect additional firming in the latter (Chart 13, top panel). Importantly, higher interest rates have boosted credit card interest rate spreads (the industry's equivalent net interest margin metric), underscoring that the next leg up in relative share prices will be earnings led (Chart 13, bottom panel). On the consumer front, consumer finances are healthy, the job market is vibrant and consumer income expectations are on the rise. In addition, house prices have vaulted to fresh all-time highs and are still expanding on a y/y basis. The positive wealth effect provides motivation for consumers to run down savings rates (Chart 13, second & third panels). Health Care Equipment - Overweight Health care equipment (HCE) stocks have been de-rated alongside the broad health care index, trading at a mere market multiple and below the historical mean, representing a buy opportunity. Revenue growth has been climbing at a double digit clip (Chart 14, third panel) and the surging industry shipments-to-inventories ratio is signaling that still depressed relative sales growth expectations will surprise to the upside (Chart 14, top panel). Synchronized global growth is also encouraging for U.S. medical equipment exports, despite the U.S. dollar's recent appreciation. The ageing population in the developed markets along with pent up demand for health care services in the emerging markets where a number of countries are developing public safety nets, bode well for HCE long-term demand prospects. The bottom panel of Chart 14 shows that the global PMI has been an excellent leading indicator of HCE exports and the current message is positive. The recent contraction in valuation multiples suggests that sales are expected to disappoint in the coming year, an outlook that appears overly cautious, especially within the context of the nascent improvement in industry return on equity (Chart 14, second panel). Chart 14HCE Stocks Are Cheap Given##br## Improving Final Demand Outlook Chart 15More Than##br## Meets The Eye REITs - Overweight REITs have traded as if the back up in global bond yields will persist indefinitely, and that the level of interest rates is the only factor that drives relative performance. Improving cash flows and cheap valuations suggest that REITs can decouple from bond yields. Our REIT Demand Indicator (RDI) has climbed into positive territory, signaling higher rental inflation. The latter is already outpacing overall CPI by a wide margin. The RDI is also positively correlated with commercial property prices, implying more new highs ahead. That will support higher net asset values. While increased supply is a potential sore spot, particularly in the residential space, multifamily housing starts have rolled over relative to the total, suggesting that new apartment builds are diminishing. As discussed in previous research reports, contrary to popular perception, relative performance is also depressed from a structural perspective. REIT relative performance is trading well below its long-term trend, a starting point which has historically overwhelmed any negative pressure from a Fed tightening cycle (Chart 15). Tech Hardware Storage & Peripherals - Underweight The S&P technology hardware storage & peripherals (THSP) sector is a disinflationary play (10-year treasury yield change shown inverted, second panel, Chart 16) and benefits when prices are deflating, not when there are whiffs of inflation4. The tech sector has the highest foreign sales/EPS exposure among the top 11 sectors, and the persistent rise in the greenback is weighing on export prospects for the THSP sub-index (Chart 16, third panel), and by extension top and bottom line growth. Computer and electronic products new order growth has fallen sharply recently, warning that THSP sales growth will remain downbeat. Industry investment is also probing multi-year lows (not shown). Asian inventory destocking is ongoing, which will pressure selling prices, but the end of this liquidation phase would be a signal that the worst will soon be over. Technical conditions are bearish. A pennant formation signals that a breakdown looms. Chart 16Tech Stocks Hate Reflation Chart 17Shy Away, Don't Be Brave Biotech - Underweight The Nasdaq biotech index is following the BCA Mania Index, which includes previous burst bubbles in a broad array of asset classes. The top panel of Chart 17 shows that if history at least rhymes, biotech bubble deflation is slated to continue. Only 45 stocks in the NASDAQ biotech index have positive 12-month forward earnings estimates, comprising 27% of the 164 companies in the index according to Bloomberg. There is still a lot of air to be taken out of the biotech bubble. Historically, interest rates and relative performance have been inversely correlated. The back up in bond yields and Fed tightening represent a draining in liquidity conditions which bodes ill for higher beta and more speculative investments. The biotech derating has been earnings driven and a sustained multiple compression period looms, especially given the sector's poor sales prospects (Chart 17, bottom panel) Worrisomely, not only have biotech stocks fallen despite Trump's win, but recent speculative zeal (buoyant equity sentiment and resurging margin debt, not shown) has also failed to reinvigorate biotech equities. The NASDAQ biotech index is a sell (ETF ticker: IBB:US). Industrials - Underweight The industrials sector was added to our high-conviction underweight list late last year so the turn in calendar does not require a change in outlook. The sector has discounted massive domestic fiscal stimulus and disregarded the competitive drag on earnings from the U.S. dollar, trading as if a profit boom is imminent. Recent traction in surveys of industrial activity is a plus, but is more a reflection of an improvement in corporate sentiment and is unlikely to translate into imminent industrials sector profit improvement. The U.S. dollar surge is a direct threat to any benefit from an increase in domestic infrastructure or private sector investment spending. Commodity prices and EM drag when the dollar is strong. Chronic surplus EM industrial capacity remains a source of deflationary pressure for their currencies, economies and U.S. industrial companies. U.S. dollar strength warns of renewed pricing power pressure (Chart 18). Non-tech industrial capacity is growing faster than output, and capital goods imports prices are contracting (Chart 18). Tack on the relentless surge in the U.S. dollar, and a new deflationary wave appears inevitable. Relative forward earnings momentum is already negative, and is likely to remain so given the barriers to a top-line recovery, and a soaring domestic wage bill. The sector is not priced for lackluster earnings. Chart 18Fade The Bounce Chart 19Advance Is Precarious Insurance - Underweight Insurance stocks have benefited from the upward shift in the yield curve and the re-pricing of the overall financials sector, but the advance is precarious. Previously robust insurance pricing power has cracked. The CPI for household insurance is barely growing. The latter is typically correlated with auto premiums, underscoring that they may also slip (Chart 19). While higher interest rates are positive for investment portfolio income, they also imply mark-to-market losses on bond portfolios and incent insurers to underwrite at a faster pace with more lenient standards, which is often a precursor to increased competition and less pricing power. Insurance companies have added massively to cost structures in recent years (Chart 19), while the rest of the financials sector was shedding labor costs. Relative valuations have enjoyed a step-function upshift, but the path of least resistance will be lower for as long as relative consumer spending on insurance products retreats on the back of pricing pressure (Chart 19). 2016 Review... Last year's high-conviction calls were hot out of the gate, and generally had very strong gains until the late-summer/early-fall, but were hijacked by the post-election surge in a few sectors. As a result of the end of year fireworks, our high conviction calls trailed the market by just under 2% for the year ending 2016. Had we had the foresight to predict a Trump win and a massive market rally, we could have closed our positions in early November for comfortably positive gains. In total, our average booked gains in the year were 3% in excess of the broad market since the positions were initiated. We are also closing our pair trades, and will re-introduce a number of new trades in the near future. Anastasios Avgeriou, Vice President Global Alpha Sector Strategy & U.S. Equity Strategy anastasios@bcaresearch.com 1 Please see the U.S. Equity Strategy Special Report titled: "Sector Performance And Fed Tightening Cycles: An Historical Roadmap", available at uses.bcaresearch.com. 2 Ibid 3 Ibid 4 Please see the U.S. Equity Strategy Special Report titled: "Equity Sector Winners And Losers When Inflation Climbs", available at uses.bcaresearch.com. Current Recommendations Current Trades Size And Style Views Favor small over large caps. Favor growth over value (downgrade alert).

Special Report

Future Development In Emerging Markets And What Sectors To Look Out For1 The global population is peaking. For Emerging Markets this means significant changes in economic development models. Commodity super-cycles are coming to an end and technological development will become more disruptive for the "old economy". Global growth will be driven by emerging and frontier markets and the accelerated speed of development will ensure leaps in technology and changes in the demographic structure of the workforce in countries that are catching up. The human population in different historic periods totalled roughly the same number, ten billion people. Periods of historic and economic development are becoming shorter. Until recently demographic growth was assumed to be exponential, but in reality it follows a hyperbolic curve, very slow in the beginning and rising faster as it approaches infinity. Growth cannot continue to infinity and models explaining tail events of the growth trajectory are of particular interest. Signs of a slowdown are apparent as humankind is approaching a global population of ten billion. The global growth model is shifting from a quantitative to a qualitative approach, with information and speed of information exchange becoming the determining factors for development. "The sciences do not try to explain, they hardly even try to interpret, they mainly make models. By a model is meant a mathematical construct which, with the addition of certain verbal interpretations, describes observed phenomena. The justification of such a mathematical construct is solely and precisely that it is expected to work - that is correctly to describe phenomena from a reasonably wide area. Furthermore, it must satisfy certain aesthetic criteria - that is, in relation to how much it describes, it must be rather simple". John von Neumann The purpose of describing the model framework in this paper is first of all to provide investors with a glimpse into our long-term investment philosophy and the way we try to think about future developments. We like the framework described below, because of the good fit to reality that it has shown. Considering that the initial parts of the theory were developed in the 1980s, the model accurately predicted many events we are witnessing now. Furthermore, we hope to achieve a certain degree of predictability of future events, and lay out scenarios for how these events might affect investors. This might stimulate modelling and the thought-process. We are not advising changes in investment policy based on this, but rather invite the reader to a dialog about scenario analysis. In the end, as with every theory or model, everybody is entitled to their own views and, in this academic spirit, we welcome ideas of how to develop the framework further and apply it to different areas. Modelling Of Demographic Growth "The main difference of a human being to an animal is the desire for knowledge and the capacity to reason". Aristotle The most cited theory on demographic growth was formulated by English cleric and scholar Thomas Malthus in 1798.2 The theory later became known as the Malthusian growth model and argued that the world population is growing exponentially: P (t) = P0e rt Where P0 is the initial population size, r is the population growth rate and t is time. In essence the theory suggests that the rate of population growth increases with the number of people living on the planet, while the main constraint for growth is the scarcity of resources (Chart 1). With time it has become obvious that the human population is not evolving according to the rules applicable to all other animal species, and that the Malthusian growth model does not describe the growth trajectory correctly (Chart 2). For example, humankind represents the only exception to the inverse relationship rule between the body mass of an animal species and its population size (lower body mass equals larger population).3 Chart 1Malthusian Growth Model ##br## For The World Population Chart 2Malthusian Growth Model Vs. ##br## Actual Population Growth In 1960, von Forester, Mora and Amiot, and later Hoerner in 1975,4 demonstrated that population growth is much better described by a hyperbolic growth function5 - very slow in the early stages and exploding as we approach the present day (Charts 3A & 3B). In other words the growth-momentum relationship is not dependant on the number of people, but rather on the number of interactions between those people (the so-called "second order reaction" in physics or chemistry). Chart 3AHyperbolic Growth Function Vs. Malthusian Growth Model ##br## And Real Population Growth Chart 3BExamples Of Linear, Exponential ##br## And Hyperbolic Growth Further research tried to connect the population growth model to the economic growth function and understand where the trajectory of population growth is going.6 For example, Nielsen7 (2015) makes the assumption that the world population is going through a demographic transition process (the third in the world's history) from the latest hyperbolic trajectory to a yet unknown trend. One interesting theory was developed by Russian physicist and demographer Sergey Kapitsa (1928 - 2012). Sergey Kapitsa was the son of Nobel laureate physicist and Cambridge professor Petr Kapitsa. Being a physicist himself, Kapitsa applied physical principles to explain population growth in the perspective of the whole planet, and concentrated on the changing phases of growth at the tails of the hyperbolic curve. "Only Contradiciton Stimulates The Development Of Science. It Should Be Embraced, Not Hidden Under The Rug". Sergey Kapitsa In his work to explain population growth, Kapitsa applied methods developed in physics to describe systems with many particles and degrees of freedom.8 Kapitsa saw an advantage in the complexity of the world population, as it would allow a statistical approach to the solution of the problem, averaging out all temporary processes. Kapitsa found several constraints in the simple hyperbolic growth model, occurring at the tail ends of the trajectory. The hyperbolic model would assume that at the beginning of time, approximately 10 people would have inhabited the planet and would have lived for a billion years. At the same time, approaching 2025 our population is due to double each year. To solve these tail problems, Kapitsa introduced a so-called "cut-off growth rate", to tackle growth in the very early stages of humankind, and a "cut-off time" constant. This led to the population growth formula: dN/dt = N 2/K 2 Chart 4World Population Growth This states that "growth depends on the total number of people in the world N, and is a function - the square - of the number of people, as an expression of the network complexity of the global population".9 Furthermore, the "growth rate is limited, that is to say by the internal nature of the growth process, not by the lack of external resources" (Chart 4). The easy way to understand the population growth relationship is to think about it the following way - if each BCA client would write an investment advice letter to all the other BCA clients, the total number of letters written would be equal the square of the number of clients. Kapitsa also formulated three periods in the development of humankind: "Epoch A", which began 4.4 million years ago and lasted 2.8 million years. This period was characterized by linear growth of the population. "Epoch B", which included the Palaeolithic, Neolithic periods and up to recent history and lasted 1.6 million years, and growth was hyperbolic (1, 2, 3 on the chart). "Epoch C", which according to Kapitsa's calculations, started in approximately 1965, when the global population reached 3.5 billion people (4 and 5 on the chart) and population growth started to slow globally (Chart 5). Chart 5World Population Growth Rate Is Falling The model was found to be a good connecting medium between a pure mathematical approach to demographics and observations made by palaeontologists, anthropologists and historians. The main conclusions made by Kapitsa are the following: Historical periods are becoming shorter over time. The Palaeolithic period lasted over 2 million years, the Neolithic period lasted "just" 5,000-8,000 years, while the Middle Ages spanned only about 500 years. Time is passing faster, the more complex the global system of interaction becomes. Or, in other words, the larger the world population becomes. Over each historic period, approximately the same number of people have lived on the planet, in the range of 9 to 12 billion. In later papers Kapitsa singles out 10 billion as the exact number (this depends on input parameters in the formula). World population will reach the 10 billion mark before 2060. Growth is determined by social and technological changes and is driven by the number of social and economic interactions within the global system. On a historical timescale, each cycle is 2.5 - 3 times shorter than the previous one, driving the overall growth in population. Information is the controlling factor of growth. Kapitsa equates his population growth model to the economic production function and explains the non-linearity of the function by "information interaction, which is multiplicative and irreversible, and is the dominant feature of the system, determining or rather moderating its growth". Food or other resources are not a constraint factor, as through the whole of history, humankind never actually encountered any constraints in resources which would derail population growth from its hyperbolic trajectory. Humankind is now in a period of demographic transition, where the beginning is the point of most rapid increase of the growth rate (around 1965) and the end is the point of most rapid decrease. On a historic scale this transition is happening in an extremely short period - 1/50,000 of total historical time - while one in ten people who ever lived will experience this period. The rate of transition in this last period is approximately 90 years, which is just a touch longer than the life expectancy in developed countries. Furthermore, changes in the developing world are happening twice as fast as in the developed. And the reason for that is the increase in speed with which we, as human beings, exchange information. Demographic Transition And Implications For The Economy If the demographic transition period is estimated correctly and the population growth trajectory will level off, as the population stabilizes at around 10 billion, the world will face two scenarios. Either we are approaching a zero-growth reality, or development will shift from the usual "quantitative" growth model of the economy (agriculturally and later industrially driven), to a qualitative approach, where the generation and exchange of information will be paramount. This fits very well with the current reality, where we can see both scenarios happening simultaneously. While growth is approaching zero in the developed world, the move to an information-driven society is pronounced in emerging and developed markets alike. The transition period is characterized by a decrease in death rates among the population, followed by a fall in birth rates. At the same time, a surge in wealth levels and standard of living occurs, followed by longer life expectancy as a result (Charts 6A & 6B). These processes are accompanied by urbanization and a shift of the workforce from production sectors to services. Chart 6AGlobal Population ##br## Is Getting Older Chart 6BAge Dependency Ratio ##br## (Old Population % Of Working Population) While this transition has taken decades, and sometimes centuries, in the old world, emerging markets are catching up much faster and the gap in development, estimated by the model, might be not more than 50 years (Chart 7). In fact, we already can observe that the later the transition started, the faster the catch-up period. Kapitsa argues that this narrowing is "due to the nonlinear interaction between countries", or in other words, the increased speed of information transfer. What implications will this have for the global economy and emerging market economies in particular? Chart 7Population Transition, As Described By The Model, ##br## In Different Countries Chart 8Global Economic Growth ##br## Driven By EM And FM Global growth will be driven by emerging and frontier markets for the next decades. Developed countries are already at the final stage of development, where growth will oscillate around zero (Chart 8). The implications of demographics for developed world growth have been studied in a recent paper by the Federal Reserve,10 and so we will not go into too much detail. Investors should be aware that, according to the trajectory suggested by the model, the catch-up period and, hence, the period of high growth, will be shorter for emerging and frontier markets than experienced in the developed world. It is fair to assume that by the time frontier countries move into the "emerging" classification, their period of high growth might be limited to several years to a decade. The model suggests that the period of high GDP growth rates is coming to an end and that investors should be prepared for lower growth for longer. World economy will move to a qualitative focus. Kapitsa argues that humankind will not face any resource constraints, as it never has in the past. Resource constraints are overcome by migration and new technology, while the real issue is in the equal distribution of resources (including wealth and knowledge). As a result, in the coming decades the industrial sector might repeat the destiny of the agricultural sector, as seen in the U.S. and other developed economies (Chart 9). Currently only 2.5 - 3% of the world population are working in the agricultural sector, and this is sufficient to produce food for the world. It can be argued that with the further development of technology, such as 3D printing, the problem of industrial overcapacity will become even more prominent and countries with an industrial focus will face a difficult transition period. China is currently one of the EM countries undergoing such a transition, and we can see how the overcapacity created by the "old economy" is weighing on the performance of the overall economy (Chart 10). Chart 9U.S.: Move Of Working Population ##br## From Agriculture And Manufacturing To Services Chart 10Decline Of The No more commodity super-cycles? This might not be exactly true, but investors need to change the way they look at commodities and resource companies (and materials sector overall) (Chart 11). Long-term projections of supply and demand should resemble or incorporate the population growth function, which will have implications for capital expenditure. We have already seen a shift to acquire more technology rather than focus on the resource base (fields, mines etc.) (Chart 12). Chart 11Commodity Super-Cycles Coming To An End? Chart 12Capex Expenditures In The Oil Sector Are Falling The trend is towards cost-saving technology, rather than betting on higher prices and production volume. From the model's perspective, no resources will ever become scarce enough to drive prices sky high for a long period. It is rather a question of getting the timing right and finding a relative long-term dislocation between supply and demand, rather than playing fundamental "peak" stories. Chart 13South African Mining Vs. ##br## U.S. Shale Oil, ##br## A Striking Difference A good example of a winner in the commodity sector is U.S. shale oil: even after two years of low oil prices many companies are ready to restart production and compete on the market within a short period of time. On the other hand, the once mighty mining sector in South Africa is only a shadow of its former self, since most companies have been chasing quantity (mine expansion) and forgot about quality (extraction methods) (Chart 13). The shift of the workforce from the "old economy" to services. This process is nearly complete in the developed world, while still in full swing in the emerging markets. With an ever-aging population even in emerging markets, social spending will have to increase and new sectors - such as education, healthcare, information technology and leisure - will come into investors' focus. Information Technology. The driver of all progress. Kapitsa suggests that information cannot be treated as a commodity, due to its irreversible nature once shared with other participants. Nevertheless, in the way in which the model determines future progress, there will be surely an ever-growing industry built around information protection. It is also interesting to note that the confusion arising between generations of parents and their children is probably the effect of the ever-growing speed of information generation and exchange, where significant technological shifts are happening within the lifetime of one generation and the old generation finds it hard to keep up. The main outcomes of the appearance of an information-centric society will be the following: Disruption to old industries. We see this all over the place: the oil industry being threatened by renewables, brick-and-mortar retailers by online stores, and the banking industry might be the next victim (Chart 14). If banks fail to adopt blockchain technology into their business model, they might be excluded as an unnecessary middle man. Chart 14Change In The S&P Index Composition 1990 - 2016 Leaps in development stages in countries. Assuming historical periods are getting shorter and information exchange is intensifying, we might see more leaps in development stages in emerging, but especially in frontier, markets. This will become a central part of any research: to identify which countries might be "jumping" one or several stages in their development, and what those stages/industries/products might be. Chart 15Computer Companies Vs. Smartphone Producers In the past 10 years we witnessed several such precedents. One was China skipping the PC stage completely, with the appearance of the broadly affordable smartphone. At the end of the 1990s, tech research would have suggested investing in PC makers, extrapolating growth numbers to the Chinese population. How has this worked out (Chart 15)? Another good example is the banking industry in Africa. Apart from South Africa, which has a rich banking tradition, more and more countries in the region see growing numbers of users in the online banking space. People use their phones for every day banking needs. Many banks do not even have a brick-and-mortar presence. Maybe that is why we see so many established institutions struggling in this part of the world (Charts 16A & 16B). Chart 16AMobile Money Use By Region Chart 16BNumber Of Mobile Money Services In Sub-Saharan Africa Education. The population growth model says that information will be the main growth driver in the future and, as a consequence, education will be the most important process in human life. Education will take up more time and effort than in any other period of human history (Chart 17). Already now, education can last as long as 20 to 30 years. Compare that to the learning period of any animal. In many jobs, we are required to learn for the better part of our working life and take tests, write exams and attend seminars to keep up-to-date with progress in our industry. Healthcare. Probably the most obvious outcome because, as the older generation requires more treatment and care, the whole social system will need to be adjusted. Many countries will be unable to bear this burden financially, and the private sector will have to step in. This is what we have seen in China since 2015 (Chart 18). Chart 17Tuition Fees In The U.S. Are A Large Part Of Inflation Chart 18Healthcare As Proportion Of GDP Leisure and entertainment. Maybe not as large or obvious, but it's one of the industries that will benefit. The younger generation has already made a shift from material values, such as luxury brands, to assigning higher values to experiences and creating memories (Chart 19). The appearance of "experience day" offerings (such as driving a super-car or jumping out of an airplane), shifting shopping patterns, or the growing number of travellers even in emerging markets confirms this view. One of the questions that remains is: will government turn out to be the largest employer and provider of services, as for example in the UK (largely because of the National Health Service), or will the private sector take over a large part in this role? Chart 19China Spending On Luxury Goods ##br## Growing More Slowly Than On Travel Chart 20Still Calling Your ##br## Broker? Financial markets: future in the algorithms? It is fair to assume that financial markets will move in the direction of total automation, and will probably be "ruled" by algorithms focusing on short-term strategies (Chart 20). Robo-advisors and passive strategies will decrease commission income and force managers to rethink their investment strategies. On the other hand, people tend to save more as they get older (Chart 21). This pattern reverses, once retirement age is hit (think about medical bills etc.). Consequently, we might see lower demand for savings products once the wave of baby boomers hits retirement, which is bad news for insurance companies and for the bond market. Chart 21Consumption And Income In Perspective Geopolitics - no more large-scale conflicts, but lots of migration? Chart 22Worldwide Battle-related Deaths On The Decline Kapitsa also touched on some controversial topics in his papers - the probability of a global war and a migration crisis (keep in mind there was no migration crisis at the time the theory was developed). Kapitsa argued that, on a global scale, factors such as migration or wars do not really matter for the outcome of the model, creating only statistical "noise". But he also drew some interesting conclusions, arguing that large wars, as we saw them in the 20th century, are unlikely to happen anymore. Because of the restriction on "human resources", states will not be able to conscript and sustain large armies, as it was the case in the past, and conflicts will arise only on a local scale (Chart 22). Chart 23Population In The Baltic States Reducing Dramatically Conflicts are most likely to arise in areas of the world experiencing a spike in their population growth trajectory. This period of time is characterized by the highest instability in the "system". This means that inequality in the distribution of resources is peaking together with the population growth rate, which causes social unrest. Such inequalities in resource distribution are evened out over time together with the levelling-off of the population, or more rapidly through war or migration. On the topic of migration, Kapitsa noted that in general migration flows are driven by the search for resources, but have reduced substantially over time. Some 2,000 years ago or earlier, whole nations moved, but nowadays migration flows barely exceed 0.1% of global population. From Kapitsa's point of view, migration should be nothing to worry about. In the framework of a complex physical system, as long as migration does not come from another planet, it is unlikely to cause any harm. In Europe we might be witnessing the first countries in history with drastically shrinking populations, due to the policy of freedom of movement, and people migrating in search of resources (better work and life prospects) (Chart 23). Furthermore, the older generation will probably become more influential in terms of casting votes and deciding future development of countries or whole continents. This year's two black swan events (Brexit and the outcome of the U.S. election) were essentially driven by the older generation, and the divide in opinion may become even more pronounced in future (Chart 24). Chart 24Election Results Determined By Older Generations Oleg Babanov, Editor/Strategist obabanov@bcaresearch.co.uk 1 Based on the work of Sergey Kapitsa (1928 - 2012) 2 Malthus T.R. 1978. An Essay on the Principle of Population. Oxford World's Classics reprint. 3 Brody, S. Bioenergetics and Growth (Reinhold, New York, 1945) Moen, A. N. Wildlife Ecology: an Analytical Approach (Freeman, San Francisco, 1973) Van Valen, L. Evol. Theory 4, 33-44 (1978). 4 Hoerner, von S. Journal of British Interplanetary Society 28 691 (1975) 5 U.S. Census Bureau (2016). International Data Base. http://www.census.gov/ipc/www/idb/worldpopinfo.php. von Foerster, H., Mora, P., & Amiot, L. (1960). Doomsday: Friday, 13 November, A.D. 2026. Science, 132, 255-296. 6 Maddison, A. (2001). The World Economy: A Millennial Perspective. Paris: OECD. Maddison, A. (2010). Historical Statistics of the World Economy: 1-2008 AD. http://www.ggdc.net/maddison/Historical Statistics/horizontal-file_02-2010.xls. 7 Nielsen, R. W. (2015). Hyperbolic Growth of the World Population in the Past 12,000 Years. http://arxiv.org/ftp/arxiv/papers/1510/1510.00992.pdf 8 From here onwards both papers are quoted extensively: S. P. Kapitsa (1996). The Phenomenological Theory of World Population Growth. Russian Academy of Sciences 9 S.P. Kapitsa (2000). Global Population Growth and Social Economics. Russian Academy of Sciences 10 Gagnon, Etienne, Benjamin K. Johannsen, and David Lopez-Salido (2016). "Understanding the New Normal: The Role of Demographics," Finance and Economics Discussion Series 2016-080. Washington: Board of Governors of the Federal Reserve System, http://dx.doi.org/10.17016/FEDS.2016.08

GAA DM Equity Country Allocation Model Update The GAA DM Equity Country Allocation model is updated as of December 30, 2016. The model has boosted its overweight in the Euro Area, especially in Italy, Spain and Netherland, financed mainly by a slight reduction in the large overweight in the U.S. Japan's underweight is back to the largest again, followed by the U.K. (Table 1). Table 1Model Allocation Vs. Benchmark Weights As shown in Table 2 and Chart 1, Chart 2 and Chart 3, the non-U.S. model (Level 2) outperformed its benchmark by 206 bps in December, thanks to the overweight in Euro Area. The large overweight in the U.S. caused the Level 1 model to underperform by 27 bps. Overall, the GAA model outperformed its MSCI World benchmark by 15 bps in December. Since Inception, the GAA model outperformed its benchmark by 26 bps. Please see also on the website http://gaa.bcaresearch.com/trades/allocation_performance. Table 2Performance (Total Returns In USD) Chart 1GAA DM Model Vs. MSCI World Chart 2GAA U.S. Vs. Non U.S. Model (Level1) Chart 3GAA Non U.S. Model (Level 2) For more details on the models, please see the January 29th, 2016 Special Report "Global Equity Allocation: Introducing the Developed Markets Country Allocation Model". http://gaa.bcaresearch.com/articles/view_report/18850. GAA Equity Sector Selection Model The GAA Equity Sector Selection Model (Chart 4) is updated as of December 30, 2016. Table 3AllocationsTable 4Performance Since Going Live Chart 4Overall Model Performance The momentum component has shifted Info Tech from overweight to underweight. The valuation component indicated that Consumer Staples is no longer expensive. For mode details on the model, please see the Special Report "Introducing The GAA Equity Sector Selection Model," July 27, 2016 available at https://gaa.bcaresearch.com. Xiaoli Tang, Associate Vice President xiaoli@bcaresearch.com Patrick Trinh, Senior Analyst patrick@bcaresearch.com Aditya Kurian, Research Analyst adityak@bcaresearch.com