Consumer Discretionary

Highlights Bulk commodity markets – chiefly iron ore and steel – could see sharp rallies once Chinese authorities give the all-clear on COVID-19 (the WHO’s official name for the coronavirus). These markets rallied sharply Tuesday, as President Xi vowed China would achieve its growth targets this year, which, all else equal, likely will require additional monetary and fiscal stimulus. China accounts for ~ 70% of the global trade in iron ore, and ~ 50% of global steel supply and demand. COVID-19-induced losses have hit Chinese demand for steel hard, forcing blast furnaces to sharply reduce output. However, this partly is being countered by transitory weather- and COVID-19-related disruptions that are reducing iron ore exports from Brazil and delaying Australian shipments. Iron ore inventories could be drawn hard in 2Q and 2H20 to meet demand as steelmakers rebuild stocks and construction and infrastructure projects restart (Chart of the Week). The Chinese Communist Party celebrates its 100th anniversary next year. To offset the COVID-19-induced drag on domestic growth this year, which could take GDP growth below 5%, and a weak GDP performance next year additional stimulus is an all-but-foregone conclusion. Feature When policymakers really want to jumpstart GDP growth, their playbook typically turns to the real economy via policies that encourage construction, infrastructure development and manufacturing. There is a compelling case a strong rally in iron ore and steel will accompany the containment of COVID-19, reversing the 14% and 4% declines in both since the start of the year (Chart 2). Chief among the drivers of the rally will be the increase in fiscal and monetary stimulus required to restore Chinese GDP growth disrupted by the COVID-19 outbreak, which could reduce annual growth closer to 5% than the ~ 6% rate policymakers were targeting. Chart of the WeekLow Iron Ore Stocks Setting Up A Rally Low Iron Ore Stocks Setting Up A Rally Low Iron Ore Stocks Setting Up A Rally Chart 2Policy Stimulus Will Reverse Declines In Iron Ore And Steel Prices Policy Stimulus Will Reverse Declines In Iron Ore And Steel Prices Policy Stimulus Will Reverse Declines In Iron Ore And Steel Prices There are a number of reasons for expecting this. 2020 marks the terminus of the decade-long policy evolution that was supposed to end with the realization of the “Chinese Dream.” Chief among the goals that were to be realized by the end of this year – which will usher in the 100th anniversary of the founding of the Chinese Communist Party in 2021 – are a doubling of per capita income and of GDP.1 The Communist Party in China has numerous policy levers it can pull to respond to worse-than-expected growth and economic shocks. These policies consume a lot of bulk commodities and base metals. When policymakers really want to jump-start GDP growth, their playbook typically turns to the real economy via policies that encourage construction, infrastructure development and manufacturing. This was clearly seen following the Global Financial Crisis (GFC) in 2008-09 (Chart 3). Even before the COVID-19 outbreak, policymakers made it clear they wanted to stabilize growth following the Sino-US trade war at the conclusion of the Central Economic Work Conference (CEWC) in December. Nominal wages and per capita income growth had been falling since 3Q18, imperilling one of the principal goals of the “Chinese Dream.” Chart 3Policy Stimulus Will Lift GDP And Iron Ore And Steel Prices Policy Stimulus Will Lift GDP And Iron Ore And Steel Prices Policy Stimulus Will Lift GDP And Iron Ore And Steel Prices Policymakers will aim for annualized quarterly growth of ~ 6.5% in 2Q- 4Q20 if their goal is simply to achieve 6% p.a. growth this year. Following that CEWC meeting, our colleagues at BCA’s China Investment Strategy (CIS) anticipated policymakers would announce growth targets at the National People’s Congress (NPC) meeting next month in the range of 5.8 and 6.2% p.a. growth, noting, “the Chinese economy needs to increase by 6% in 2020 to double its size from the 2010 level in real terms.”2 The growth rate required to put the economy on track to deliver on the “Chinese Dream” is now much higher following the COVID-19 outbreak, which could shave ~1% or more off China’s growth this year alone. This suggests policymakers will aim for annualized quarterly growth of ~ 6.5% in 2Q-4Q20 if their goal is simply to achieve 6% p.a. growth this year. This predisposes us to expect significant monetary and fiscal stimulus this year after the all-clear is sounded and the economy can return to its day-to-day activities. In addition – and by no means least of the concerns driving policymakers’ decisions – the 100th anniversary of the founding of the CCP will be celebrated next year, something policymakers at all levels have been looking forward to showcase the success of their revolution. A Boon For Bulks As monetary policy eases, the construction growth trajectory should pick up smartly. China accounts for ~ 70% of the global trade in iron ore. It is expected to import ~ 1.1 billion MT this year and next, based on estimates published by the Australian government’s Department of Industry, Innovation and Science in its December 2019 quarterly assessment (Chart 4). China will account for ~ 50% of global steel supply and demand, or roughly 900mm MT/yr in 2020 and 2021. The COVID-19 outbreak reduced utilization rates at the close to 250 steel mills monitored by Mysteel Global in China to 78%, a drop of 2.3pp.3 Platts estimates refined steel production could fall by 43mm MT by the end of February.4 Most of China’s steel output goes into commercial and residential construction (~ 35%), infrastructure (~20%), machinery (~ 20%), and automobile production (~ 7%), based on S&P Global Platts estimates.5 Residential construction began to recover last year, and residential housing inventories were declining relative to sales (Chart 5). In our view, once the COVID-19 infection rate falls outside Hubei Province – the epicenter of the outbreak – markets will begin pricing in a revival of commercial and residential construction in China. As monetary policy eases, the construction growth trajectory should pick up smartly (Chart 6). Chart 4China Dominates Iron Ore, Steel Markets Iron Ore, Steel Poised For Rally Iron Ore, Steel Poised For Rally   Chart 5Resumption Of Construction Will Lift Demand For Bulks Resumption Of Construction Will Lift Demand For Bulks Resumption Of Construction Will Lift Demand For Bulks Chart 6Easier Money And Credit Policy Will Revive Construction Easier Money And Credit Policy Will Revive Construction Easier Money And Credit Policy Will Revive Construction Infrastructure spending already was on track to increase prior to the COVID-19 outbreak, based on our CIS colleagues’ reading of the CEWC statement issued in December, which “suggests fiscal support to the economy will mainly focus on infrastructure, and listed transportation, urban and rural development, and the 5G networks to be the government’s main investment projects next year.”6 This fiscal push will be supported by additional spending at the local government level, and by the issuance of special-purpose bonds by these governments with proceeds earmarked for infrastructure development (Chart 7). “A bigger fiscal push by the central government, coupled with a frontloading of 2020 local government special-purpose bond issuance, will likely boost infrastructure spending to around 10% in the first two quarters, doubling the growth in the first eleven months of 2019,” according to our CIS colleagues. Chart 7Pump Priming Will Boost Infrastructure Spending Pump Priming Will Boost Infrastructure Spending Pump Priming Will Boost Infrastructure Spending Bottom Line: Infrastructure fixed asset investment will be supported by easier credit and fiscal policy in China. Whether it rises at double-digit growth rates remains to be seen, however. Expect Chinese Consumers To Come Out Spending Infrastructure fixed asset investment will be supported by easier credit and fiscal policy in China. Prior to the outbreak of COVID-19, consumer confidence was running high (Chart 8), and employment prospects have bottomed and turned higher, although they still indicate contraction. (Chart 9). This boded well for consumer-spending expectations, particularly for autos (Chart 10). Chart 8Consumer Confidence Was High Prior to COVID-19 Outbreak ... Consumer Confidence Was High Prior to COVID-19 Outbreak ... Consumer Confidence Was High Prior to COVID-19 Outbreak ... Chart 9... And Job Prospects Were Improving ... ... And Job Prospects Were Improving ... ... And Job Prospects Were Improving ... At ~ 7%, China’s automobile production remains a marginal contributor to overall steel consumption. Nonetheless, a meaningful pickup in automobile production following the depressed growth rate of the past 15 months would move steel demand upward. China’s share of world auto sales is ~30% (Chart 11). Chart 10... Thus Lifting Prospects For Chinese Auto Sales ... Thus Lifting Prospects For Chinese Auto Sales ... Thus Lifting Prospects For Chinese Auto Sales   Chart 11Policy Stimulus Will Revive Chinese Auto Sector Policy Stimulus Will Revive Chinese Auto Sector Policy Stimulus Will Revive Chinese Auto Sector Accommodative monetary and fiscal policies in China point toward higher growth for the auto sector. However, it is important to note the revival in auto production needs to be driven by consumer demand – if it is led simply by restocking, the rebound will not be sustainable. The recovery we are expecting will support steel and metal consumption at the margin, but the outlook for infrastructure and construction remains key due to their higher weight in total steel consumption. Bottom Line: Auto consumption and production were recovering in late 2019; however, the strength of the recovery did not match previous stimulus programs (2009 and 2016). The recovery we are expecting this year will support steel and metal consumption at the margin, but the outlook for infrastructure and construction remains key due to their higher weight in total steel consumption. If these other sectors remain constructive for metal demand (or at least are not contracting or slowing drastically), the boost from the auto sector will meaningfully contribute to higher iron ore and steel prices.   Robert P. Ryan Chief Commodity & Energy Strategist rryan@bcaresearch.com Hugo Bélanger Associate Editor Commodity & Energy Strategy HugoB@bcaresearch.com     Commodities Round-Up Energy: Overweight Oil prices halted their decline and rose 1% on Tuesday as the number of daily confirmed cases of the Wuhan coronavirus decelerated in China. As of Tuesday, the daily growth in cases dropped to 5%, down from 6% the previous day. Investors will closely monitor this number for any sign of a durable slowdown in daily confirmed cases. Separately, the US Energy Information Administration revised down its global demand growth estimates for 2020 to 1.0mm b/d from 1.3mm b/d last month, reflecting the effects of the coronavirus and warmer-than-expected January temperatures in the northern hemisphere. We will be updating our global oil balances next week. Base Metals: Neutral Iron ore prices fell 14% since the COVID-2019 outbreak in January. Investors are assessing how the iron ore market will balance weaker demand expectations in China amid lower supply – largely a result of falling Brazilian ore exports. Brazil’s total iron ore exports fell ~19% y/y in January due to heavy rainfall and lower production at Brazilian miner Vale. The company’s output never fully recovered from the 2019 dam incident and remains a risk to iron ore supply in 1Q20. Vale lowered its March sales guidance by 2mm MT. Low Chinese port inventories raise prices’ vulnerability to supply disruptions (Chart 12). Precious Metals: Neutral Gold remains well bid despite a strong US dollar, fueled by safe-haven demand. The yellow metal’s price fell slightly on Tuesday as investors’ concerns over the coronavirus eased. Based on our fair-value model, prices averaged $55/oz above our estimate in January. Investors – i.e. global ETF holders and net speculative positions reported by the US CFTC – have been important contributors to the latest gold rally. Investors’ total holding of gold reached a record high 113mm oz last week. Nonetheless, we believe there is still opportunity for this group to further support prices: the share of gold allocation vs. world equity-market capitalization is still low at 0.24%, vs. its peak of 0.42% in 2012 (Chart 13). Ags/Softs:  Underweight March wheat futures were down 1.8% at Tuesday’s close, settling at the lowest level of the year after the USDA called for ‘stable supplies’ of the grain for the 2019/2020 U.S. marketing year. For corn, ending stocks were unchanged relative to the January projection, while world production was revised slightly upwards. March corn futures finished 2¢ lower at $3.7975/bu. The USDA also estimated higher soybean exports on the back of increased sales to China. However, soybean price gains were limited by higher production and ending stocks abroad. Chart 12Low Iron Ore Inventory Raises Exposure To Supply Disruptions Low Iron Ore Inventory Raises Exposure To Supply Disruptions Low Iron Ore Inventory Raises Exposure To Supply Disruptions Chart 13A Higher Share Of Gold Holdings Could Support Prices Further A Higher Share Of Gold Holdings Could Support Prices Further A Higher Share Of Gold Holdings Could Support Prices Further   Footnotes 1     The “Chinese Dream” is a phrase coined by President Xi Jinping, following the 18th Party Congress of the Chinese Communist Party in 2012, when the overarching goal of transforming China into a “moderately well-off society” was memorialized in writing. These goals were crystalized in terms of progress expected in per capita income and GDP, both of which were to be doubled in the decade ending this year. Please see Why 2020 Is a Make-or-Break Year for China published by thediplomat.com February 13, 2015. 2     Please see A Year-End Tactical Upgrade, published by BCA Research’s China Investment Strategy December 18, 2019, for an in-depth analysis of policy guidance coming out of the Economic Work Conference last December. It is available at cis.bcaresearch.com. 3    Please see WEEKLY: China’s blast furnace capacity use drops to 78% published by Mysteel Global February 10, 2020. 4    Please see China steel consumption to plunge by up to 43 mil mt in February due to coronavirus published February 6, 2020, by S&P Global Platts. 5    Please see China Macro & Metals: Steel output falls, but property creates bright spots published by S&P Global Platts December 6, 2019. 6    Please see footnote 2 above. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades TRADE RECOMMENDATION PERFORMANCE IN 2019 Q4 Iron Ore, Steel Poised For Rally Iron Ore, Steel Poised For Rally Commodity Prices and Plays Reference Table Trades Closed in 2020 Summary of Closed Trades Iron Ore, Steel Poised For Rally Iron Ore, Steel Poised For Rally

Highlights Chinese stocks made a comeback as soon as the speed of COVID-19 transmitting outside of the epicenter somewhat moderated. Inside the epicenter, the pandemic has not shown clear signs of easing, and could significantly prolong the region’s lockdown. Despite being a large manufacturing hub, Hubei-based companies represent relatively limited significance in China’s equity market. A protracted regional lockdown in Hubei may disrupt company-specific supply chains, but so far there is little evidence suggesting such disruptions will spill over to China’s broad equity market. Feature The stringent containment measures taken by China in its battle against the COVID-191  epidemic are indeed having economic consequences, both domestically and globally. However, the full extent of the repercussions remains to be seen. In the financial market, Chinese stocks regained significant ground following a sharp selloff when the financial markets reopened after an extended Chinese New Year holiday (Chart 1). The number of confirmed COVID-19 cases continues to rise. On the other hand, the number of new cases outside of Hubei province appears to have peaked on February 3rd and the official number within the province has plateaued (Chart 2). Chart 1Chinese Equities Rebounded Despite The Ongoing Epidemic Chinese Equities Rebounded Despite The Ongoing Epidemic Chinese Equities Rebounded Despite The Ongoing Epidemic Chart 2Has The Peak Arrived? Not Within The Epicenter The Evolving Crisis The Evolving Crisis The latest official data reinforces our view that the epidemic outside of Hubei is considerably less severe than within Hubei. While it is still too early to confirm that the number of new cases elsewhere in China has peaked, the epidemic in Hubei - particularly in Wuhan - is far from contained despite what the official data suggests. The near-collapsing municipal system in the epicenter leaves a large margin for error in recording and confirming the number of cases. The region’s strained medical resources also mean that the number of both new infections and fatalities may not reach a sustained peak in the weeks to come. Most cities in China’s 31 provinces and municipalities had partially resumed business activities by February 10, but we think that Hubei and especially Wuhan will likely remain in lockdown through the end of March, a month longer than scheduled by the provincial government. Will an extended lockdown of the Hubei province prevent a budding recovery in China’s economy from manifesting itself? In our view, the answer is no. And even in the case of a prolonged region-wide lockdown, our assessment is that the spillover effects from supply-chain disruptions in Hubei on the domestic equity market are unlikely to be significant. Quantifying The Potential Impact Of An Extended Lockdown In Hubei Hubei accounted for only 4.6% of China’s aggregate economy in 2019. If the majority of businesses in Hubei remain closed until March 20 and we assume no growth in the province in Q1 on an annual basis,2 it will shave 0.3 percentage points from China's total nominal growth in the quarter. Furthermore, if the manufacturing sector restarts production in Q2, but most activities in the service sector such as retail, hotel, transportation and real estate remain depressed, then China’s tertiary sector output growth in that quarter will be reduced by 0.4 percentage points. This will only reduce the country’s overall economic growth in Q2 by 0.2 percentage points. Hubei’s protracted but isolated lockdown will also have a minor impact on China’s overall financial market. Within the MSCI China Onshore Index, there are 16 Hubei-based companies representing only 1.2% of total market capitalization. In the offshore market, there are 14 listed companies registered in Hubei and their market value accounts for a mere 0.3% of the offshore MSCI China Index.3  Chart 3Chinese Equity Performance Rationally Reflects Economic Fundamentals So Far Chinese Equity Performance Rationally Reflects Economic Fundamentals So Far Chinese Equity Performance Rationally Reflects Economic Fundamentals So Far Given the small market capitalization of these Hubei-based companies, China’s index performance simply will not be affected on a fundamental basis by a longer shutdown of the province (Chart 3).   Bottom Line: We expect a more protracted shutdown of business in Hubei than is currently scheduled, which has the potential to weigh negatively on investor sentiment. But from a fundamental perspective, this will not derail the economic and stock market recoveries underway in China. Confirming Signals From The Equity Market Chart 4 shows that the relative performance of cyclicals versus defensives is improving in both China’s onshore and offshore markets, which suggests investors share our view that outbreak will subside to a Hubei-specific phenomenon, and that a longer-than-expected shutdown of the province is unlikely to threaten China's overall economic recovery. Chart 4Risk-On Sentiment Ticking Up Risk-On Sentiment Ticking Up Risk-On Sentiment Ticking Up Chart 5Auto And Tech Manufacturers Having Large Presence In Wuhan The Evolving Crisis The Evolving Crisis ​​​​​​​ Importantly, supply chain disruptions due to a shutdown of Hubei’s production plants have not had significant spillover effects on industry performance in China’s equity markets.  Hubei, and more specifically Wuhan-based manufacturers, is a manufacturing hub and key supplier in the automobile and electronic equipment industries (Chart 5). Despite the region’s significant manufacturing presence, Hubei-based manufacturers have relatively limited impact on the equity performance of their industry groups, both onshore and offshore: The stocks of Hubei-based automobile and tech companies have mostly been underperforming relative to their respective industries and the broad Chinese market. Nevertheless, these industries and their overall sectors have managed to outperform relative to the broad market, which indicates that the supply chain constraints have not spilled over to Chinese companies outside of Hubei.  For example, Dongfeng Motor Co., a leading state-owned auto manufacturer located in Hubei, is a key supplier for Nissan and Honda. Dongfeng represents 6% of the automobile and components industry in the MSCI China Index. Chart 6 shows that while Dongfeng has been underperforming the industry and the broad market since the onset of the COVID-19 epidemic, performance in the auto industry relative to the broad market picked up last week when the number of new cases in the epidemic peaked. This suggests that supply-chain constraints are limited to Dongfeng and Hubei, and the downside risks in the automobile and components industry elsewhere in China are abating. Hubei-based tech companies account for 5% of the technology, hardware, and equipment industry group in China’s onshore equity market. Due to production cuts and transportation constraints, four of the five companies listed in the MSCI China onshore index have significantly underperformed both the industry and the broad market since the start of the COVID-19 epidemic (Chart 7).  The only Hubei-based constituent in the sector that has had large gains is a company that produces thermal imaging systems, an equipment widely used in monitoring contagious diseases. But the company’s 1% weight in the industry equity group means the industry’s outperformance is mostly from gains in companies outside of Hubei.  This suggests that despite disruptions inside Hubei, China’s domestic supply chains in the tech industry are relatively agile with manufacturers outside of Hubei stepping in to fill production shortages. Chart 6Supply Disruptions In Hubei's Auto Sector Not Affecting China's Overall Auto Industry Performance Supply Disruptions In Hubei's Auto Sector Not Affecting China's Overall Auto Industry Performance Supply Disruptions In Hubei's Auto Sector Not Affecting China's Overall Auto Industry Performance Chart 7Flexible Supply Chains In China Domestic Tech Industry Help Offset Production Shortages In Hubei Flexible Supply Chains In China Domestic Tech Industry Help Offset Production Shortages In Hubei Flexible Supply Chains In China Domestic Tech Industry Help Offset Production Shortages In Hubei   Bottom Line: While it is too early to conclusively say that the risk of further contagion outside of Hubei has abated, we think the positive equity market performance over the past week is warranted.  The negative impact of supply-chain disruptions in Hubei on China’s domestic overall equity market and industry performance has been minor. Hence, in the case of a prolonged region-wide lockdown, we think the broad financial market implications will not be significant. Investment Conclusions Chart 8Chinese Stocks Are Still Priced At A Deep Discount Chinese Stocks Are Still Priced At A Deep Discount Chinese Stocks Are Still Priced At A Deep Discount We maintain our bullish view on Chinese stocks, both in the near term and in the next 6-12 months. Despite regaining considerable ground in the past week, onshore and offshore equities are still priced at deep discounts (Chart 8). Cities and regions outside of the Hubei epicenter have partially resumed business activities this week. This, coupled with a reduction in the number of new cases, should further boost investors’ confidence in the recovery of China’s economy and risk assets. The reopening of businesses in Hubei could be delayed as late as the end of March. While this will have a devastating impact on the region’s economy and corporate profits, the spillover effects will most likely be contained within the region and not derail China’s economy. In addition, for now the resilience at both China’s industry and broad level equity performance appears to be outweighing the risk of a longer-than-announced shutdown.   Jing Sima China Strategist jings@bcaresearch.com   Footnotes 1    Previously labeled as coronavirus or 2019-nCoV, the disease was officially named COVID-19 by the World Health Organization (WHO) on February 11, 2020. 2   We consider this an overestimate of the economic damage caused by the COVID-19 epidemic. Even though manufacturing activities can potentially grind to a halt, healthcare-related investment and consumption will likely skyrocket. 3   As of February 10, 2020, according to the MSCI. Cyclical Investment Stance Equity Sector Recommendations

Realizing Gains Realizing Gains Neutral In this Monday’s Weekly Report we lifted the hard-hit S&P hotels index to neutral from previously underweight and cemented gains of 20% since inception. Relative retail sales have rebounded over the past several months with discretionary sales reclaiming the upper hand signaling that it no longer pays to be bearish the S&P hotels index (top panel). At the same time, while overall PCE is decelerating, relative consumer outlays on hotels is picking up momentum (middle panel). Importantly, our S&P hotels EPS growth model that encapsulates all the key industry macro drivers is also arguing that relative profit growth is slated to turn the corner in the coming quarters. Bottom Line: Lift the S&P hotels index to neutral and lock in gains of 20% since inception. Please refer to Weekly Report for additional details. The ticker symbols for the stocks in this index are: BLBG S5HOTL – MAR, CCL, HLT, RCL, NCLH. ​​​​​​​

Highlights Portfolio Strategy Receding interest in the coronavirus epidemic, rising demand prospects, a looming profit turnaround and compelling valuations, all signal that it no longer pays to be bearish the S&P hotels index. Lift exposure to neutral. An historical parallel with chemicals industry regulation suggests that the path of least resistance is lower for the S&P interactive media & services industry. Recent Changes Lock in gains of 20% and augment the S&P hotels index to neutral. Table 1 Sell The Rip Sell The Rip Feature Equities ripped higher last week as the coronavirus scare subsided, the Senate acquitted President Trump and the PBoC and the Fed sustained the liquidity injections. From a macro perspective, bond yields have served as a suspension for the SPX, absorbing the economic shock and catapulting the broad equity market to fresh all-time highs. The usual suspects, tech stocks, led the charge as lower interest rates equate to higher multiples. Keep in mind that the SPX is trading near an eighteen-year high on a forward P/E ratio basis (Chart 1). Such investor complacency is worrisome, especially given the persistently soft economic backdrop. Importantly, the latest GDP release revealed that net exports had the largest contribution to real output growth – trumping even PCE – on the back of a collapse in imports (second & third panels, Chart 2). Chart 1Flush Liquidity Flush Liquidity Flush Liquidity Chart 2Net Exports Jump Is A Yellow Flag Net Exports Jump Is A Yellow Flag Net Exports Jump Is A Yellow Flag In fact, the quarter-over-quarter plunge in real imports is the steepest since the GFC, and on a par with both the 9/11 induced recession in the early-2000s and the Savings & Loan recession in the early-1990s (top panel, Chart 3). Historically, when imports crest they are a precursor of recession (bottom panel, Chart 3). While this may be a one quarter blip in the data as a result of the trade war, we will continue to closely monitor the US trade balance. Meanwhile, consumer outlays are also decelerating, corroborating last quarter’s real imports collapse (bottom panel, Chart 2). If this pillar of economic strength gives way in the coming quarters, it will stoke up recession fears anew and vindicate the bond market’s message. Ultimately, what matters for stocks, aside from interest rates, is EPS growth. On that front, the Street continues to expect 10% profit growth for calendar 2020 which is a tall order according to our analysis in mid-January, warning that the SPX is still 8% overvalued as per our base case EPS and multiple scenario.1 Chart 3Imports Flashing Red Imports Flashing Red Imports Flashing Red Chart 4Sector Contribution To 2020 SPX EPS Growth Sell The Rip Sell The Rip Chart 4 shows the sector contribution to profit growth for this year. The tech sector sits atop the table and leads its peers by a wide margin (Table 2). Health care and financials occupy the second and third spots. While these rankings are more or less in line with the sector profit and market cap weights, what stands out is the delta between the market cap and earnings weights (Table 2). Table 2Sector EPS And Market Cap Weights Sell The Rip Sell The Rip According to this valuation proxy, real estate, tech and consumer discretionary sectors are the most expensive, while energy, health care and financials are the cheapest (Table 2). As a reminder we remain neutral tech, and underweight both real estate and consumer discretionary, and overweight all three undervalued sectors: energy, health care and financials. This week we book gains and lift to neutral a niche consumer discretionary sub sector that the coronavirus epidemic has badly bruised, and update our view on the largest communication services sub-group. Crystalize Gains And Upgrade Hotels To Neutral Google trends data shows that peak interest in the coronavirus was registered on January 26 in China, January 30 in the US and one day later globally (Chart 5). These trends may change in the coming weeks, but it appears that the initial fears and interest on the coronavirus are quickly subsiding, highlighting that the worst may likely be behind us with regard to fear mongering. Thus, we are compelled to lift the hard-hit S&P hotels index to neutral and cement gains of 20% since inception. While Chinese, global and US outputs will likely take a hit in Q1, subsequently recover in Q2 in the aftermath of the epidemic and only Q3 will come in as a clean quarter, the beating down of this niche consumer discretionary sub-group is overdone. Macro headwinds are turning into mild tailwinds. Last week the ISM non-manufacturing report rebounded smartly, and consumer confidence remains resilient. The implication is that it no longer pays to be bearish the S&P hotels index (top & middle panels, Chart 6). Tack on our vibrant industry demand indicator underscoring that the two-year bear market will likely go on hiatus (bottom panel, Chart 6). Chart 5Risks Receding Risks Receding Risks Receding Chart 6Upbeat Demand Upbeat Demand Upbeat Demand A number of other indicators we track send a similar message. Relative retail sales are rebounding with discretionary sales reclaiming the upper hand (top panel, Chart 7). While overall PCE is decelerating (bottom panel, Chart 2), relative consumer outlays on hotels is picking up momentum signaling that the bar for positive relative profit surprises is low (middle panel, Chart 7). Importantly, almost all of the negative coronavirus news flow is likely reflected in the roughly 25% forward P/E discount to the broad market that the index is changing hands at. If the coronavirus epidemic is petering out, then such undervaluation is no longer warranted (bottom panel, Chart 7). Importantly, our S&P hotels EPS growth model does an excellent job in encapsulating all these moving parts and is currently signaling that relative profit growth is slated to turn the corner in the coming quarters (Chart 8). Chart 7Grim News Is Priced In Grim News Is Priced In Grim News Is Priced In Chart 8Model Points To A Turnaround Model Points To A Turnaround Model Points To A Turnaround Netting it all out, receding interest in the coronavirus epidemic, rising demand prospects, a looming profit turnaround and compelling valuations, all signal that it no longer pays to be bearish the S&P hotels index. Beyond the risk of a resurgence in the coronavirus epidemic, what prevents us from upgrading all the way to an above benchmark allocation is a challenging profit margin backdrop. Chart 9 highlights that not only are industry CEOs showing no restraint with respect to labor additions, but also lodging inflation is now contracting. Taken together, there are rising odds that the S&P hotels index may suffer from a profit margin squeeze (bottom panel, Chart 9). Netting it all out, receding interest in the coronavirus epidemic, rising demand prospects, a looming profit turnaround and compelling valuations, all signal that it no longer pays to be bearish the S&P hotels index. Bottom Line: Lift the S&P hotels index to neutral and lock in gains of 20% since inception. The ticker symbols for the stocks in this index are: BLBG S5HOTL – MAR, CCL, HLT, RCL, NCLH. Chart 9Margin Squeeze Is A Risk Margin Squeeze Is A Risk Margin Squeeze Is A Risk Regulation Is Coming While most mega cap tech stocks had a better-than-expected Q4 earnings season, GOOGL and FB were left behind. We reiterate our underweight stance in the S&P interactive media & services index (we still consider them tech stocks) which serves as a great hedge to our overweight S&P software index. As a reminder we remain underweight this communications services subgroup on a cyclical basis, and since mid-December also on a secular ten-year time horizon.2 Regulation is a powerful force. President Trump is only slightly favored for reelection and there is bipartisan support to toughen anti-trust regulation, which his own Department of Justice has pursued. Republican Senator of Missouri Josh Hawley has spearheaded the assault on tech companies from the right wing, while leading Democratic presidential contenders represent the push from the left wing. Indeed, if the Democrats take power, they are likely to enact a federal privacy law following in the footsteps of California and the European Union. Such a law would face court battles but would ultimately have popular tailwinds: corporate protectionism, wealth inequality, and social demands for privacy across the political spectrum. Looking back to the early- and mid-twentieth century with regard to US government regulation aimed at protecting the consumer is instructive. What catches our attention are the Biologics Control Act, the Pure Food and Drug Act and the Toxic Substances Control Act. The first two acts affected the pharmaceutical and food industries and the third act the chemicals industry. While we do not have sector data dating back to the early 1900s, we have chemicals equity prices since 1958. The Toxic Substances Control Act of 1976 dealt a blow to chemical equity prices in absolute and relative terms (Chart 10). In fact, investments in chemical stocks were dead money for a whole decade until 1985 when they broke out in absolute terms and troughed in relative terms (Chart 10). New regulation will cast a shadow over the S&P interactive media & services index. This is true especially if a privacy law is passed, but even if it is postponed or shot down by the Supreme Court, companies will have to contend with a higher regulatory burden in order to comply with California’s and Europe’s privacy laws. Beyond the threat of privacy regulation protecting the consumer, the monopolistic power these companies exert will also come under the microscope. While we doubt the government will break up these two companies given their industry dominance, and the need to maintain international competitiveness,3 anti-monopoly probes clearly pose a big risk. This is true even under a GOP administration. During times of inequality, especially during recessions, governments will seek popularity by punishing scapegoats. The firms that are the chief beneficiaries of the business cycle will be the first in line for scrutiny. Keep in mind, Ronald Reagan’s Republican administration broke up “Ma Bell” into seven regional “Baby Bells” on January 1, 1984. Interestingly, AT&T also had the largest market capitalization in the S&P 500 in 1982. What concerns us the most is a forced sale of “crown jewel” assets as the result of a court ruling in an anti-monopoly suit. This would jeopardize the companies’ ecosystems. Imagine if Alphabet were forced to divest their Google Marketing Platform (old DoubleClick) and Google Ads, or YouTube or Google Cloud. Facebook could be forced to sell WhatsApp or Instagram. Chart 10Regulation Hurts Stocks Regulation Hurts Stocks Regulation Hurts Stocks Chart 11Risks Are Neither Reflected In Profit Estimates… Risks Are Neither Reflected In Profit Estimates… Risks Are Neither Reflected In Profit Estimates… All of these risks pose a threat to EPS growth and still sky-high industry profit margins. Importantly, relative profit growth is climbing at a 13% rate (middle panel, Chart 11) and coupled with the drubbing in 10-year Treasury yields, have pushed valuations to overshoot territory. As we went to print the S&P interactive media & services index was trading at a 34% forward P/E premium to the broad market (Chart 12). Similarly on a forward P/E/G ratio basis this industry is trading at roughly a 30% premium to the SPX (bottom panel, Chart 12). In sum, an historical regulatory parallel with chemicals industry regulation suggests that the path of least resistance is lower for the S&P interactive media & services industry. Over the past year profit margins have been narrowing as costs have been creeping up for the industry, but are still more than twice the level of SPX margins (second panel, Chart 13). If federal regulation puts a price on consumer data in the coming years, especially through direct legislation, then this added cost will squeeze industry profit margins and dent profitability. Chart 12…Nor In Pricey Valuations …Nor In Pricey Valuations …Nor In Pricey Valuations Chart 13Margin Compression Looms Margin Compression Looms Margin Compression Looms The chief constraint on US government regulation is the desire to maintain international competitiveness in a world of great power competition, in which US rivals attempt to promote their own tech companies globally. However, neither colonialism nor the Cold War stopped earlier anti-monopoly crusades. Politicians primarily court domestic constituencies with such pursuits. Regulators would have to set the terms of any breakup with various interests in balance, but the point is that even a limited breakup that does not mortally wound the company would still come as a negative shock at first. In sum, an historical regulatory parallel with chemicals industry regulation suggests that the path of least resistance is lower for the S&P interactive media & services industry. Bottom Line: Stay underweight S&P interactive media & services index both on a cyclical and structural ten-year time horizon. The ticker symbols for the stocks in this index are: BLBG S5INMS – GOOGL, GOOG, FB, TWTR.   Anastasios Avgeriou US Equity Strategist anastasios@bcaresearch.com Matt Gertken Geopolitical Strategist mattg@bcaresearch.com   Footnotes 1     Please see BCA US Equity Strategy Weekly Report, “Three EPS Scenarios” dated January 13, 2020, available at uses.bcaresearch.com.\ 2     Please see BCA US Equity Strategy Special Report, “Top US Sector Investment Ideas For the Next Decade” dated December 16, 2019, available at uses.bcaresearch.com. 3     Please see BCA US Equity Strategy Special Report, “Is The Stock Rally Long In The FAANG?” dated August 1, 2018, and Geopolitical Strategy Special Report, “Surviving A Breakup: The Investor's Guide To Monopoly-Busting In America,” dated March 20, 2019, available at uses.bcaresearch.com and gps.bcaresearch.com. Current Recommendations Current Trades Size And Style Views Stay neutral cyclicals over defensives (downgrade alert) Favor value over growth Favor large over small caps (Stop 10%)

2020 High-Conviction Calls: S&P Homebuilding 2020 High-Conviction Calls: S&P Homebuilding Underweight We downgraded homebuilders to underweight in late-October, and we are adding it to our high-conviction underweight call list. Most, if not all, positive profit drivers are already reflected in relative share prices. Specifically, the drubbing in interest rates has been more than accounted for by the year-to-date outperformance in homebuilders. Now that interest rates are moving in reverse, more pain lies ahead for the S&P homebuilding index. Worrisomely, consumers’ expectations to purchase a new home plunged anew last month according to The Conference Board’s survey, and that demand softness will weigh on housing starts and ultimately homebuilding revenues. Adding insult to injury, new house selling prices are losing ground to existing home prices, but such discounting is no longer boosting volumes as new home sales market share gains have stalled. Already, S&P homebuilding sales are contracting and the risk is that deflation gets entrenched in this construction industry. Simultaneously, lumber prices are gaining steam and coupled with contracting new home prices signal that homebuilding profits will suffer a setback. The ticker symbols for the stocks in this index are: BLBG – S5HOME – DHI, LEN, PHM, NVR. ​​​​​​​

Highlights Portfolio Strategy Interest rates are one of the most important macro drivers of overall equity returns via valuations. BCA’s view of a selloff in the bond market is a key factor underpinning most of our 2020 high-conviction calls. A 50bps to 75bps rise in the 10-year Treasury yield in 2020, as BCA predicts, will have significant knock on effects on sector selection. Recent Changes There are no changes to our portfolio this week. Table 1 2020 Key Views: High-Conviction Calls 2020 Key Views: High-Conviction Calls Feature As 2019 draws to a close, this week we reveal our high-conviction calls for the coming year. But before proceeding, a brief market comment is in order. As 2019 draws to a close, this week we reveal our high-conviction calls for the coming year. But before proceeding, a brief market comment is in order. We remain perplexed by the market’s euphoric rise and near total neglect of weak profit growth fundamentals. This “hope rally”, as we have characterized it in the recent past, may have some more legs with the traditional Santa Rally around the corner, but the set up for stocks could not be more treacherous for 2020. Importantly, we deem the risk of not getting a Sino-American trade deal to be significantly greater than a relief rally in case of a successful deal. Most of the positive trade-related news is already reflected into equities. This complacent backdrop is reminiscent of the early 2018 SPX catapult to 2,870 as back then the fresh fiscal easing package was all priced into stocks in the first 20 trading days of that year. Chart 1 vividly depicts this euphoric melt-up in stocks with the longest dated VIX future trouncing the squashed front month VIX future. While this ratio is not at the stratospheric level hit in late-December 2017, it hit a wall recently forewarning that equities are skating on thin ice. Chart 1VOL... VOL... VOL... Similarly, speculators are net short vol, but a snap can occur at any time. This is eerily reminiscent of February 2018. Since 2017, this vol positioning measure has consistently troughed prior to the SPX peak on three occasions and a “four-peat” likely looms (vol net spec positions shown inverted, bottom panel, Chart 2).   On the profit front, sector earnings breadth is sinking like a stone confirming the negatively anchored S&P 500 net EPS revisions ratio (Chart 3). We doubt that 10% EPS growth for calendar 2020 is even plausible, especially given the looming steep deceleration in equity retirement that we highlighted recently.1 Tack on the mighty US dollar, and profit headwinds abound. Chart 2...A Coiled Spring ...A Coiled Spring ...A Coiled Spring Chart 3No Earnings Pulse No Earnings Pulse No Earnings Pulse Market internals are also screaming that something is off in the equity markets. Small caps are trailing large caps, transports are at stall speed, weak balance sheet stocks are underperforming strong balance sheet stocks, the median stock as per the Value Line Geometric Index is far from all-time highs and high yield bonds (especially CCC rated) are also not confirming the SPX breakout (Chart 4). Importantly, the CBOE’s S&P 500 implied correlation index, which gauges “the expected average correlation of price returns of S&P 500 Index components, implied through SPX option prices and prices of single-stock options on the 50 largest components of the SPX”,2 is rising again over the 40% mark, underscoring that stocks are more and more beginning to move in tandem. Historically this has been a negative omen (implied correlation index shown inverted, top panel, Chart 5). Chart 4Watch Market Internals Watch Market Internals Watch Market Internals Chart 5Reflation No More? Reflation No More? Reflation No More? Downtrodden M&A activity is also firing a warning shot. A steep divergence of M&A deals from stock prices is atypical at this late stage of the business cycle (middle panel, Chart 5). In fact, out Reflation Gauge comprising the greenback, oil prices and the 10-year Treasury yield has taken a turn for the worse, signaling that economic surprises will likely suffer the same fate (bottom panel, Chart 5). All of this, warns that the risks of a significant pullback in the SPX are rising. What follows is four high-conviction overweight and four underweight calls. Similar to last year, we are using BCA’s view of a selloff in the bond market is a key factor underpinning most of our 2020 high-conviction calls.3 While last year this was offside, the collapse in the 10-year US Treasury yield from 3% last December to 1.75% currently offers a better backdrop for this view to pan out. A 50bps to 75bps rise in the 10-year Treasury yield in 2020, as our BCA house view predicts, will have significant knock on effects on sector selection.4 As a reminder, interest rates are one of the most important macro drivers of overall equity returns via valuations (10-year Treasury yield shown inverted, Chart 6). Moreover on a sector basis, the ebbs and flows of the risk free asset directly influence utilities, real estate, financials, consumer discretionary and tech growth stocks or more than half of the S&P 500’s market capitalization. Chart 6Priced To Perfection Priced To Perfection Priced To Perfection What follows is four high-conviction overweight and four underweight calls.     Anastasios Avgeriou US Equity Strategist anastasios@bcaresearch.com   S&P Managed Health Care (Overweight) We upgraded the S&P managed health care group to overweight in April shortly after Bernie Sanders re-introduced his revamped “Medicare For All” bill. Despite the recent explosive run up in relative share prices – partly owing to the drop in Elizabeth Warren’s odds of winning the Democratic candidacy and partly given her watering down of her “Medicare For All” take up plan – we are adding this health care sub-group to our high-conviction overweight call list. HMOs are finally raising prices at the steepest rate of the past fifteen years and while such breakneck pace is unsustainable, profit margins are set to expand smartly (Chart 7). The profit margin backdrop is enticing for health insurers for another reason: labor cost containment. CEOs have been extremely prudent refraining from adding to headcount. One final profit margin booster is the rising 10-year Treasury yield, as roughly 10% of the industry’s operating income is tied to “investment income”. In other words, as insurers receive the premia they typically invest it in Treasurys and that explains the high EPS and margin sensitivity on interest rate moves. Thus, if BCA’s bond view materializes, it will prove a tonic to both margins and profits. With regard to technicals, relative share prices are not as oversold as they were mid-year, but remain below the neutral zone still offering investors a compelling entry point to this position (bottom panel, Chart 7). The ticker symbols for the stocks in this index are: BLBG: S5MANH – UNH, ANTM, HUM, CNC, WCG.  Chart 7S&P Managed Health Care S&P Managed Health Care S&P Managed Health Care S&P Machinery (Overweight) A tentative up-tick in EM data in general and China in particular along with improving operating metrics signal that the US/China trade war wounded machinery stocks deserve a high-conviction overweight status for 2020. In more detail, the budding recoveries in the EM and Chinese manufacturing PMIs herald a brighter outlook for relative share prices. China’s fiscal and credit impulse also signals that a bottom in relative share prices is likely already in place. If this leading indicator proves accurate in the coming months, then relative share prices can reclaim the early-2018 highs. On the operating front, the new orders-to-inventories momentum has traced a bottom. Assuming that the Chinese manufacturing PMI reading stays on an upward trajectory, machinery demand will make a durable comeback. None of these green shoots are reflected in sell-side analysts’ bombed out relative profit and sales growth expectations (bottom panel, Chart 8). The ticker symbols for the stocks in this index are: BLBG – S5MACH – CAT, DE, ITW, IR, CMI, PCAR, PH, SWK, FTV, DOV, XYL, IEX, WAB, SNA, PNR, FLS.  Chart 8S&P Machinery S&P Machinery S&P Machinery S&P Banks (Overweight) The expected price of credit, still pristine credit quality, and a looming reacceleration in credit growth all argue for including the S&P banks index in our high-conviction overweight list. Banks stocks troughed in mid-August, sniffing out a sell-off in the bond market. As the bond sell-off gained steam, the bank outperformance phase also caught on fire. BCA’s view for next year calls for a 50-75bps selloff in the 10-year Treasury yield, further boosting the allure of bank equities (top panel, Chart 9). Beyond the rising price of credit, credit growth is another key industry profit driver. Importantly, the latest Fed Senior Loan Officer Survey painted a bright picture on both the demand and supply of credit. In more detail, bankers reported that a rising number of credit categories reversed course and demand for loans slingshot higher. The upshot is that bank credit growth will likely reaccelerate in the first half of 2020 (third panel, Chart 9). Finally, credit quality, the third key bank profit driver, is also emitting a positive signal. While a few loan categories have deteriorated recently in absolute terms, as percentage of loans outstanding, credit quality remains pristine. Despite all this enticing news, bank valuations remain anchored near rock bottom levels and a resurgent ROE is signaling that there is a long runway ahead for relative bank valuations (bottom panel, Chart 9). The ticker symbols for the stocks in this index are: BLBG: S5BANKX – WFC, JPM, BAC, C, USB, PNC, BBT, STI, MTB, FITB, CFG, RF, KEY, HBAN, CMA, ZION, PBCT, SIVB, FRC.  Chart 9S&P Banks S&P Banks S&P Banks Long Large Caps/Short Small Caps (Overweight) The large cap size bias is our sole hold out from last year’s high-conviction list despite getting stopped out and booking a handsome 9% profit. Today we recommend reinstating a large cap size bias. This call actually represents a slight hedge on BCA’s overall higher interest rates view for next year. Financials comprise 13% of the SPX, but the weight jumps to 18% in small cap indexes. Thus, if the rising interest view is off the mark, the large cap bias will provide an offset. Relative forward profit growth favors mega caps and by a wide margin. One key factor underpinning this increasing profit gap is the massive profit margin divergence (Chart 10). Tack on the fact that index providers omit negative forward profits from their index EPS calculations and the narrative that small caps have cheapened versus large caps falls flat on an adjusted basis. Why? Because a large number of small caps have negative forward EPS. Moreover, we recently created a relative employment proxy that is firing on all cylinders. Not only is the small business labor market crumbling according to the latest NFIB survey, but hard data also suggest that nonfarm private small business payroll employment has ground to a halt. Finally, small caps are debt saddled compared with large caps and small cap b/s have actually been degrading of late (Chart 10). Chart 10Long Large Caps/Short Small Caps Long Large Caps/Short Small Caps Long Large Caps/Short Small Caps S&P Homebuilding (Underweight) We downgraded homebuilders to underweight in late-October, and today we are adding it to our high-conviction underweight call list. Most, if not all, positive profit drivers are already reflected in relative share prices. Specifically, the drubbing in interest rates has been more than accounted for by the year-to-date outperformance in homebuilders. Now that interest rates are moving in reverse, more pain lies ahead for the S&P homebuilding index (Chart 11). Worrisomely, consumers’ expectations to purchase a new home plunged anew last month according to The Conference Board’s survey, and that demand softness will weigh on housing starts and ultimately homebuilding revenues (Chart 11). Adding insult to injury, new house selling prices are losing ground to existing home prices, but such discounting is no longer boosting volumes as new home sales market share gains have stalled. Already, S&P homebuilding sales are contracting and the risk is that deflation gets entrenched in this construction industry (Chart 11). Simultaneously, lumber prices are gaining steam and coupled with contracting new home prices signal that homebuilding profits will suffer a setback. The ticker symbols for the stocks in this index are: BLBG – S5HOME – DHI, LEN, PHM, NVR.  Chart 11S&P Homebuilding S&P Homebuilding S&P Homebuilding S&P Semi Equipment (Underweight) While year-to-date chip equipment stocks are the best performing index in the SPX, we deem them a mania, and include them in our high-conviction underweight basket for 2020. The top panel of Chart 12 shows this irrational exuberance that has permeated the semi equipment universe is similar to the dotcom era excesses. Back in the late-1990s relative profit growth was sky high, but today it is flirting with the zero line, warning that gravity will pull these stocks back down to earth (second panel, Chart 12). The contracting ISM manufacturing survey signals that relative share price momentum running at a breakneck pace is unwarranted. The same holds true for relative forward profit and revenue growth expectations, especially given the ongoing contraction in global semi sales (middle panel, Chart 12). This deficient demand for semis and therefore semi equipment manufacturers is also apparent in deflating DRAM prices, our industry pricing power proxy. Historically, relative profit expectations and pricing power have moved in lockstep and the current message is to fade sell-side analysts’ buoyancy. Net earnings revisions have slingshot from extreme pessimism to extreme optimism during the past quarter and are vulnerable to disappointment (bottom panel, Chart 12). In sum, lack of profit growth, deficient industry demand, perky valuations and extremely overbought conditions all suggest that the mania in the S&P chip equipment index will likely turn into a panic next year. The ticker symbols for the stocks in this index are: BLBG – S5SEEQ – AMAT, LRCX, KLAC. Chart 12S&P Semi Equipment S&P Semi Equipment S&P Semi Equipment S&P Utilities (Underweight) Heavily indebted utilities are a high-conviction underweight call for next year. · Relative share prices and the 10-year Treasury yield are closely inversely correlated. Now that the risk free asset is having a more competitive yield, investors will likely start to abandon this niche defensive sector. The jury is still out on the final outcome of the Sino-American trade war. However, there has been a decisive change of heart in US exporters and the ISM manufacturing survey’s new export orders subcomponent reflects an, at the margin, improvement in the US/China trade relationship. This bodes ill for safe haven utilities stocks (Chart 13). Utilities command a 19.4 forward P/E multiple representing roughly a 10% premium to the broad market, but their forecast EPS growth rate at 5% trails the SPX by 400bps. Our composite relative Valuation Indicator has surged to one standard deviation above the historical mean, a level typically associated with recession (Chart 13). On the operating front, natural gas prices are contracting at the steepest pace of the past four years, and electricity capacity utilization is in a multi-decade downtrend, warning that the relative profitability will remain under pressure in 2020. The implication is that this crowded trade is at risk of deflating, especially if the breakout in bond yields gains steam as BCA expects. The ticker symbols for the stocks in this index are: BLBG – S5UTIL– PPL, PNW, ATO, PEG, FE, EIX, AEE, SO, SRE, AEP, XEL, DTE, EVRG, WEC, AES, CMS, LNT, ED, NRG, D, AWK, DUK, ETR, EXC, NEE, CNP, NI, ES.  Chart 13S&P Utilities S&P Utilities S&P Utilities S&P Real Estate (Underweight) We would refrain from chasing high yielding real estate stocks higher, and instead we are including them in our high-conviction underweight call list for 2020. The commercial real estate (CRE) sector is a bubble candidate that exemplifies this cycle’s excesses. CRE prices sit at roughly two standard deviations above both the historical time trend and the previous cycle’s peak (not shown). Worryingly, CRE demand is waning. Not only our proprietary real estate demand indicator has sunk recently, but also the latest Fed Senior Loan Officer survey revealed that demand for CRE loans remains feeble. Simultaneously, fewer bankers are willing to extend CRE credit according to the same quarterly Fed survey (Chart 14). Occupancy rates have crested and there are increasing anecdotes of credit quality deterioration. As a result, CRE rents are also failing to keep up with inflation which eats into relative cash flow growth prospects. The supply side build up tilts this delicate balance further into deficit. Non-residential construction shows no signs of abating, with multi-family housing starts still running at an historically high rate of roughly 400K/annum (Chart 14). Finally, interest rate related headwinds will also weigh on this high-yielding sector in coming quarters, especially if the selloff in the bond market gains steam as BCA expects. (Chart 14). The ticker symbols for the stocks in this index are: BLBG – S5RLST – AMT, PLD, CCI, SPG, EQIX, WELL, PSA, EQR, AVB, SBAC, O, DLR, WY, VTR, ESS, BXP, CBRE, ARE, PEAK, MAA, UDR, EXR, DRE, HST, REG, VNO, IRM, FRT, KIM, AIV, SLG, MAC. Chart 14S&P Real Estate S&P Real Estate S&P Real Estate Footnotes 1     Please see BCA US Equity Strategy Weekly Report, “Gasping For Air” dated November 18, 2019, available at uses.bcaresearch.com. 2    https://www.cboe.com/micro/impliedcorrelation/impliedcorrelationindicator.pdf 3    Please see BCA The Bank Credit Analyst Monthly Report, “OUTLOOK 2020: Heading Into The End Game” dated November 22, 2019, available at bca.bcaresearch.com. 4    Ibid. Current Recommendations Current Trades Size And Style Views Stay neutral cyclicals over defensives (downgrade alert) Favor value over growth Favor large over small caps (Stop 10%)

Highlights Building on a previous special report focused on the investable market, in this report we construct and present models designed to predict the odds of Chinese domestic equity sector outperformance. BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. Episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) than has been the case for the investable market, suggesting that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. Among the predictors included in our model, our Li Keqiang leading indicator (based on monetary conditions, money, and credit growth) has been the most important. Our base case view argues in favor of domestic cyclicals over defensives over the coming year, but recent sector performance suggests that domestic consumer discretionary and tech should be favored within a cyclical equity portfolio over energy, materials, and industrials barring a surge in oil prices or a capitulation by Chinese policymakers in favor of “flood irrigation-style” stimulus. Over the long-term, we argue that investors have a good reason to favor domestic defensives over cyclicals until the latter demonstrates meaningfully better earnings performance. Feature We examined China’s investable equity sector performance in detail in our October 30 Special Report,1 with a particular emphasis on understanding the specific macroeconomic or equity market factors that have historically predicted relative sector performance. In today’s report, we extend our approach to China’s A-share market. Our research focused on constructing and presenting models that quantify a checklist-based approach to determining the odds of equity sector performance. The aim is to use these models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use them as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We find that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) that has been the case for the investable market, suggesting that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. Among the macroeconomic and equity market factors that we found to be important predictors, our Li Keqiang leading indicator was the most significant. This confirms that China’s domestic market is more sensitive to monetary conditions, money, and credit growth than its investable peer. We also note the sharp difference in the relative performance of cyclicals versus defensives in the domestic market compared with the investable market, and what this means for investors over the coming 6-12 months. Finally, we argue that investors should maintain a structural bias towards defensive stocks in the domestic market until cyclicals demonstrate meaningfully better earnings performance, and point to an existing position in our trade book for investors interested in strategically allocating to the A-share market. Detailing Our Approach In our effort to better understand historical periods of domestic sector performance, we have chosen to model the probability of outperformance of each level 1 GICS sector (plus banks) based on a set of macro and equity market variables. Specifically, we use an analytical tool called a logistic regression, which forecasts the probability of a discrete event rather than forecasting the value of a dependent variable. We utilized this approach when building our earnings recession model for China (first presented in our January 16 Special Report).2 The “events” that we modeled are historical periods of individual Chinese investable sector outperformance from 2010 to 2018, relative to the MSCI China index (the “broad market”). We find that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) than has been the case for the investable market. Chart I-1A and Chart I-1B illustrate these periods with shading in each panel. We then attempt to explain these episodes of outperformance with the following macro predictors: Chart I-1AThis Report Builds Models ##br##Aimed At... Chart 1A This Report Builds Models Aimed At… This Report Builds Models Aimed At… Chart I-1B...Predicting The Shaded Regions Of These Charts Chart IB …Predicting The Shaded Regions Of These Charts …Predicting The Shaded Regions Of These Charts Periods of accelerating economic activity, represented by our BCA's China Activity Index Periods of rising leading indicators of economic activity, represented by our BCA Li Keqiang (LKI) Leading Indicator Episodes of tight monetary policy, defined as periods where China’s 3-month interbank repo rate is rising Periods of accelerating inflation, measured both by headline and core inflation We also include several equity market variables: uptrends in relative sector earnings, periods of rising broad market stock prices, uptrends in broad market earnings, and episodes of extreme technical conditions and relative over/undervaluation for the sector in question. In the case of energy stocks, we also include oil prices as a predictor. Chart I-2A and Chart I-2B illustrate these periods as well as the macro & market variables that we have included as predictors. Chart I-2AWe Use These Macroeconomic And Equity Market Factors... Chart 2A We Use These Macroeconomic And Equity Market Factors… We Use These Macroeconomic And Equity Market Factors… Chart I-2B...To Predict Periods Of Equity Sector Outperformance Chart 2B …To Predict Periods Of Equity Sector Outperformance …To Predict Periods Of Equity Sector Outperformance Our approach also accounts for the existence of any leading or lagging relationships between the macro and market variables we have used as predictors and sector relative performance. In most cases the predictors lead relative sector performance, but in some cases it is the opposite. In the case of the latter, we have limited the lead of any variable in our models to three months in order to reduce the need to forecast. Finally, our approach also limits the extent to which we consider a leading relationship between our predictors and relative sector performance, in order to avoid picking up overlapping economic cycles. This issue, and the evidence supporting the existence of a 3½-year credit cycle in China, is detailed in Box I-1 of our October 30 Special Report (please see footnote 1). Key Drivers Of Sector Performance: Domestic Versus Investable Pages 11-22 present the results of each sector’s outperformance probability model, along with a list of factors that were found to be useful predictors and a summary of the results. The importance of the factors included in the models is shown in each of the tables at the top right of pages 11-22 by a score of 1-3 stars, (loosely representing key levels of statistical significance) as well as each factor’s optimal lead or lag. A minus sign shows that the predictor leads sector relative performance, whereas a plus sign shows that it lags. Following a review of our domestic equity sector outperformance models, differences in the results from those presented in our previous report can be organized into three distinct elements: 1) the breadth of macro & equity market factors in predicting sector performance, 2) the relative importance of our LKI leading indicator, and 3) the difference between domestic/investable cyclical versus defensive performance. The Breath Of Predictive Factors Chart I-3In The Domestic Market, The Breadth Of Predictive Factors Is Narrower Chart 3 In The Domestic Market, The Breadth Of Predictive Factors Is Narrower In The Domestic Market, The Breadth Of Predictive Factors Is Narrower Compared with the models for investible sector performance that we detailed in our previous report, our work modeling domestic equity sector performance highlights that the breadth of predictive factors is narrower, particularly among cyclical sectors (Chart I-3). Our model for domestic materials (shown on page 12) is one exception to this rule, but we found that our models for energy, industrial, and consumer discretionary relative performance were all focused on fewer predictors than is the case for the investable market. In addition, our domestic utilities model has considerably worse predictive power than our model for investable utilities. The case of industrials is particularly notable: our model for investable industrials highlighted the importance of tight monetary policy, rising core inflation, rising broad market stock prices & earnings, and overbought and oversold technical conditions in explaining past periods of industrial sector outperformance. By contrast, our domestic industrials model is quite simple: the sector has been more likely to outperform, with a lag, when our BCA China Activity Index and LKI leading indicator have been rising, and underperform following periods of extreme overvaluation. One of the core conclusions of our previous report was that investors should view the relative performance of investable industrials versus consumer staples as a reflationary barometer, given the strong sensitivity of both sectors to tight monetary policy. We explained this sensitivity by pointing to the substantial difference in corporate health between the two sectors: industrial firms are heavily debt-laden and thus experience deteriorating operating performance and an environment of rising interest rates. In comparison, food and beverage firms appear to have the strongest balance sheets among the sub-sectors that we have examined, suggesting that they would benefit less from easier monetary conditions than firms in other industries. Our leading indicator for Chinese economic activity has been considerably more important in predicting domestic equity sector outperformance than in the investable market. However, these dynamics appear to be completely absent in influencing performance in China’s domestic equity market. Not only has domestic industrial sector relative performance not been negatively linked to periods of tight monetary policy, but our model for consumer staples (shown on page 15) highlights that periods of staples performance have been driven by two simple factors: the relative trend in staples EPS  (positive sign), and the trend in broad market EPS (negative sign). The Relative Importance Of Monetary Conditions, Money, And Credit Growth Chart I-4 summarizes the significance of the factors in predicting sector performance in general, by summing up each predictor’s number of stars across all of the models. The chart shows that our LKI leading indicator is the most important signal of sector performance that emerged from our analysis, followed by rising core inflation, rising broad market stock prices, rising economic activity, and oversold technical conditions. The ranking of results shown in Chart I-4 is fairly similar to those that we listed for the investable market, with two exceptions. First, for the domestic market, periods of tight monetary policy were considerably less important than in the investable market as an important predictor of relative sector performance. Instead, our LKI leading indicator was by far the most important predictor, which underscores a point that we have made in previous reports: domestic stocks appear to be much more sensitive to the trend in monetary conditions, money, and credit growth than for the investable market. This increased sensitivity has helped explain the difference in performance this year between the investable and domestic market, underscoring that the former has more catch-up potential than the latter in a trade truce scenario. Chart I-4Monetary Conditions, Money, & Credit Growth Drive A-Share Performance Chart 4 Monetary Conditions, Money, & Credit Growth Drive A-Share Performance Monetary Conditions, Money, & Credit Growth Drive A-Share Performance Second, in the investable market, episodes of significant overvaluation had essentially no power to predict future episodes of equity market underperformance. But this factor was an important or very important contributor to our domestic industrials, health care, and tech models. This finding is consistent with our May 23 Special Report, which noted that value stocks have outperformed in China’s domestic equity market over the past five years and underperformed in the investable market (Chart I-5). Chart I-5Value Has Been A More Successful ##br##Factor In The Domestic Market Chart 5 Value Has Been A More Successful Factor In The Domestic Market Value Has Been A More Successful Factor In The Domestic Market   Major Differences In The Performance Of Cyclicals Versus Defensives The results of our models for domestic equity sector performance did not change the cyclical & defensive labels that we applied in our previous report. The signs of the predictors shown in the tables on pages 11-22 clearly highlight that the domestic energy, materials, industrials consumer discretionary, and information technology sectors are cyclical sectors, and that consumer staples, health care, financials, telecom services, utilities, and real estate are defensive. What is striking, however, is that there is a major difference in the relative performance of equally-weighted domestic cyclicals versus defensives compared with what has occurred in the investable market over the past decade. Chart I-6A and Chart I-6B illustrate the different relative performance trends, along with their corresponding trends in relative P/E and relative EPS. Whereas the relative performance of investable cyclicals versus defensives has had somewhat of a stable mean over the past decade, domestic cyclicals have badly underperformed since early-2011. The charts also make it clear that this underperformance has been driven by a downtrend in relative EPS, not due to trend differences in relative valuation. Chart I-6ACyclicals/Defensives Somewhat Mean-Reverting In The Investable Market... Chart 6A Cyclicals/Defensives Somewhat Mean-Reverting In The Investable Market… Cyclicals/Defensives Somewhat Mean-Reverting In The Investable Market… Chart I-6B...But Not So In The Domestic##br## Market Chart 6B …But Not So In The Domestic Market …But Not So In The Domestic Market Digging further, it appears that this discrepancy can be largely explained by the significant difference in performance between investable and domestic tech over the past decade (Chart I-7). Whereas the former has outperformed the overall investable index by roughly 4-5 times since 2010, the relative performance of the latter has only very modestly risen. In effect, Charts I-6 and I-7 highlight that Chinese cyclical sectors have been structurally impaired over the past decade and have only been “saved” in the investable market by massive outsized outperformance of the tech sector. The fact that investable tech sector performance itself has been largely driven by 2 extremely successful firms underscores how narrowly based the investible cyclical versus defensives performance trend has been. Chart I-7A Huge Gap In Tech Explains Domestic Cyclical Underperformance Chart 7 A Huge Gap In Tech Explains Domestic Cyclical Underperformance A Huge Gap In Tech Explains Domestic Cyclical Underperformance Investment Conclusions There are three conclusions that investors can draw from our analysis. First, our research shows that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) that has been the case for the investable market. This does not mean that domestic sector performance is not significantly impacted by macro and top down equity market factors, but it suggests that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. As such, investors should be prepared to include episode-specific investigation of abnormal performance as a regular part of their domestic equity sector allocation decisions. Investors should favor domestic cyclicals over the coming year, with exposure focused on consumer discretionary and tech. Second, the fact that our LKI leading indicator is in an uptrend suggests that investors should favor domestic cyclicals over defensives over the coming year, with a caveat. We have noted in several previous reports that our indicator is in a shallow uptrend, and the slower pace of money and credit growth than during previous economic upswings suggests that the bar may be higher for some cyclical sectors to outperform. We would advise investors to watch closely over the coming 3-6 months for signs of a technical breakout in all cyclical sectors. But sector performance in Q1 of this year, when the overall A-share market rose sharply versus global stocks, suggests that domestic consumer discretionary and tech should be favored within a cyclical equity portfolio over energy, materials, and industrials barring a surge in oil prices or a capitulation by Chinese policymakers in favor of “flood irrigation-style” stimulus (Chart I-8). Within resources, we prefer the investable energy sector to its domestic peer, due to a sizeable valuation advantage. Chart I-8Favor Select Domestic Cyclical Sectors Over The Coming Year Chart 8 Favor Select Domestic Cyclical Sectors Over The Coming Year Favor Select Domestic Cyclical Sectors Over The Coming Year As a third and final point, abstracting from our bullish outlook for select cyclical sectors over the coming year, Charts 6 and 7 clearly argue for investors to maintain a structural bias towards defensive stocks in the domestic market until cyclicals demonstrate meaningfully better earnings performance. In the May 23 Special Report that we referred to above, we noted that an A-share portfolio formed of industry groups with above-median return on equity and below-median ex-post beta has significantly outperformed over the past decade. Table I-1 presents the current industry group weights of this portfolio, and shows that overweight exposure is concentrated in the health care, consumer staples, and real estate sectors (all of which are defensive), and a heavy underweight towards industrials. Table I-1Current High ROE / Low Beta Factor Industry Group Portfolio Weights* Table 1 Current High ROE / Low Beta Factor Industry Group Portfolio Weights* Current High ROE / Low Beta Factor Industry Group Portfolio Weights* For clients who are interested in strategically allocating to the A-share market, we maintain a long position in this portfolio relative to the MSCI China A Onshore index in our trade book, and plan to continue to update the performance of the trade on a weekly basis. Energy Chart II-1 Chart II-1 Energy Energy Table II-1 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Similar to the investable energy sector, periods of domestic energy sector outperformance are strongly positively related to rising oil prices and rising headline inflation in China. We noted in our previous report that this is a behavioral relationship, rather than a fundamental one. Domestic energy stocks are negatively associated with rising broad market stock prices, unlike their investable peers. This largely reflects the fact that the relative performance of domestic energy stocks has been in a structural downtrend over the past decade. From 2010 to mid-2016, this decline was caused by a persistent underperformance in earnings. Since mid-2016, domestic energy sector EPS have been rising in relative terms, meaning that more recent underperformance has been due to multiple contractions. While not as relatively cheap as their investable peers, domestic energy stocks are heavily discounted versus the broad domestic market based on both the price/earnings ratio and the dividend yield. Consequently, it is possible that domestic energy stocks may at some point begin to outperform in a rising broad equity market environment. For now, our model argues for an underweight stance towards domestic energy due to the lack of a clear uptrend in oil prices. As a pure value play, investable energy stocks maintain a dividend yield of nearly 6.5%, and are thus more attractive than their domestic peers. Materials Chart II-2 Chart II-2 Materials Materials Table II-2 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Our model for the domestic materials highlights that the sector’s performance has been related to strengthening economic activity and strongly related to a rising Li Keqiang leading indicator. Among the equity market variables that we tested, materials outperformance has been positively associated with rising relative EPS, rising broad market EPS, and prior oversold technical conditions. Similarly, the investable materials sector, these results show that domestic materials are a strong play on accelerating Chinese economic activity. The factors included in our domestic materials sector model are similar to those included in our investable material, except that relative material earnings have also been a significant predictor of sector relative performance. In addition, the macro & equity market predictors included in our domestic materials model have done a better job of leading material sector performance. The odds of domestic materials outperformance rose twice above the 50% mark this year according to our model, without any corresponding improvement in relative stock prices. The spikes in the model occurred largely because domestic materials became significantly oversold; technical conditions for the sector have only twice been weaker over the past decade. This underscores that investors should be watching domestic materials closely in Q1 of next year for signs of a relative rebound. Industrials Chart II-3 Chart II-3 Industrials Industrials Table II-3 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance The results of our model for domestic industrial sector outperformance are interesting, as they imply that the drivers of performance are different between the domestic and investable markets. In the investable index, we found that industrials were heavily sensitive to monetary policy, rising core inflation, relative sector earnings, and periods of rising broad market stock prices. Our domestic model is considerably simpler: industrials outperform, with a lag, when our activity index and Li Keqiang leading indicator are rising. Periods of strong overvaluation have also been significant in predicting future episodes of domestic industrial sector underperformance. It is not clear to us why the drivers of relative performance for domestic industrials have been different than in the investable equity index, But the good news is that the relative simplicity of the model makes the investment decision making process for domestic industrials considerably easier. Today, domestic industrials are significantly undervalued, and our Li Keqiang leading indicator is in a shallow uptrend. This suggests that domestic industrials are likely to begin outperforming at some point in early-2020 following a bottoming in Chinese economic activity, unless policymakers are quick to tighten once activity begins to improve (which would be contrary to our expectations). Consumer Discretionary Chart II-4 Chart II-4 Consumer Discretionary Consumer Discretionary Table II-4 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Our domestic consumer discretionary model highlights that the sector’s relative performance is positively associated with a rising Li Keqiang leading indicator, rising core inflation, and rising broad market stock prices. Similar to its investable peers, domestic consumer discretionary stocks are cyclical, and positive relationship with core inflation may reflect improved pricing power for the sector. Unlike investable consumer discretionary, the domestic consumer discretionary has not been meaningfully impacted by the December 2018 changes to the global industry classification standard. Hence, our model does not exclude the internet & direct marketing retail sector as we did in our previous report on investable sectors. For now, our model suggests that the domestic consumer discretionary sector is likely to continue to underperform, given decelerating core inflation and the lack of a clear uptrend in the broad domestic equity index. However, as a cyclical sector, we will be watching closely for an upside breakout in domestic consumer discretionary performance in the first quarter as a signal to increase exposure to the sector. Consumer Staples Chart II-5 Chart II-5 Consumer Staples Consumer Staples Table II-5 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Our domestic consumer staples model is significantly different than that shown in our previous report for investable staples. This reflects sizeable differences in investable/domestic staples relative performance over the past decade, particularly from mid-2015 to late-2017 (where domestic staples outperformed significantly and investable staples languished). Of the two predictors found to be significant in explaining historical periods of domestic staples performance, a negative relationship with the trend in broad market EPS has been the most important. This underscores that staples are defensive sector. The trend in staples relative earnings has closely followed in importance, showing that the tremendous outperformance in domestic consumer staples over the past several years has, at least in part, been driven by fundamentals. Still, domestic consumer staples are currently priced at 34x earnings per share, compared with 15x for the overall domestic market. While our model currently argues for continued staples outperformance, the risk of a valuation mean reversion next year, against the backdrop of an improving economy, is above average. Over the coming 6-12 months, investors should be closely monitoring domestic staples for signs of waning earnings momentum and/or a major technical breakdown as potential signals to reduce domestic staples exposure. Health Care Chart II-6 Chart II-6 Health Care Health Care Table II-6 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Over the past decade, periods of domestic health care outperformance have been negatively associated with rising economic activity, rising core inflation, and rising broad market stock prices. Oversold technical conditions and periods of overvaluation have also helped predict future episodes of health care relative performance. These factors clearly point to the defensive nature of domestic health care, similar to health care stocks in the investable index. However, one clear difference between investable and domestic health care is that the former appears to have leading properties and the latter does not. We noted in our previous report that periods of investable health care underperformance appeared to lead, on average, our BCA Activity Index, periods of rising core inflation, and uptrends in the broad investable index. By contrast, domestic health care lags the Activity Index and core inflation by just over a year, and also lags the trend in broad market EPS. Our model points to further health care outperformance, but we would expect domestic health care stocks to underperform at some point next year following an improvement in economic activity and a resumed uptrend in broad domestic EPS. Financials Chart II-7 Chart II-7 Financials Financials Table II-7 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Our outperformance probability model for domestic financials highlights that the sector is countercyclical: periods of outperformance have been negatively related to our LKI leading indicator, rising core inflation, and rising broad market stock prices. Similar to the case of the investable index and unlike the case globally, financials are clearly defensive. Investable financials have exhibited atypical performance this year according to the model presented in our previous report. By contrast, domestic financials have performed in line with what our model has suggested: our LKI leading indicator is in a shallow uptrend, and the relative performance of domestic financials has trended flat-to-down since late-2018. Barring a major shift by the PBoC towards a hawkish stance in the coming year (which we do not expect), our base case view for the Chinese economy implies that domestic financials are likely to continue to underperform. Banks Chart II-8 Chart II-8 Banks Banks Table II-8 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Our model for domestic banks is similar to that of financials, with some important differences. In addition to being sensitive to our LKI leading indicator, domestic bank performance is negatively related to our Activity Index. Oversold technical conditions have also been quite important in predicting future episodes of domestic bank outperformance. The model is currently forecasting domestic bank underperformance, although it was late in predicting the selloff in bank stocks that began late last year. Similar to the case for domestic financials, our baseline view for the Chinese economy implies that domestic bank are likely to continue to underperform over the coming year. Information Technology Chart II-9 Information Technology Information Technology Table II-9 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Our model for the domestic technology sector is different than that of investable tech, which reflects the vast difference in performance between the two sectors. While the relative performance of domestic tech has trended sideways over the past decade, investable tech stock prices have risen fourfold relative to the broad investable index. This difference is largely accounted for by the absence of the BAT stocks (Baidu, Alibaba, Tencent) from the domestic market. Similar to investable tech, domestic technology stocks are negatively related to tight monetary policy, and positively linked with a pro-cyclical economic variable (a rising LKI leading indicator). However, strangely, domestic tech has been strongly and negatively related to rising headline inflation, a finding with no clear fundamental basis. The model has been less successful in predicting domestic tech performance over the past year than in the past, which appears to be linked to the inclusion of headline inflation in the model. Rising headline inflation has been clearly associated with three major episodes of domestic tech underperformance since 2010, but over the past year domestic tech has outperformed as headline inflation accelerated. For now we would advise investors to focus on the other factors in the model: the lack of overvaluation, and our view that policy will remain easy on a measured basis, supports an overweight stance towards domestic tech over the coming year. Telecom Services Chart II-10 Telecom Services Telecom Services Table II-10 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Our domestic telecom services relative performance model highlights that the sector is defensive like its investable peer, but the factors driving performance are somewhat different. The only similarity between the two models is that periods of outperformance are negatively related to rising broad market stocks prices for both investable and domestic telecom services, with domestic telecom stocks responding with a lag. Among the macro factors included in the model, periods of domestic telecom services outperformance are negatively and coincidently related to our LKI leading indicator, and positively related to tight monetary policy (with a slight lead). Oversold technical conditions have also proven to help predict future episodes of outperformance. The model failed to predict a brief period of outperformance in mid-2018, but has generally accurately predicted underperformance of domestic telecom stocks since early-2017. Barring a collapse in the US/China trade talks or considerably weaker near-term economic conditions than we expect, domestic telecom services will likely continue to underperform until the specter of tighter monetary policy emerges. This is unlikely to occur until the middle of 2020, at the earliest. Utilities Chart II-11 Utilities Utilities Table II-11 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Overall, our domestic utilities model has considerably worse predictive power than our model for investable utilities. The model shows that the performance of domestic utilities is negatively related to rising core inflation (with a lag) and rising broad market EPS, but these relationships are not particularly strong. We noted in our June 19 Special Report that domestic utilities ranked highly on the impact that relative EPS had on predicting relative stock prices , yet relative sector earnings did not register as a significant predictor in our model. This apparent discrepancy is resolved by differences in the time horizon between these two approaches. The analysis that we presented in our June 19 Special Report examined the relationship between earnings and stock prices over the entire sample period (2011-2018), meaning that it examined the predictive power of earnings over the long-term. The models built in this report have focused strongly on explaining periods of outperformance over a 6-12 month time horizon, there have been enough deviations in the trend between the relative performance of utilities and relative utilities earnings that the relationship between the two was not sufficiently strong to show up in the model. In other words, the long-term link between utilities relative earnings and stock prices is strong, but the short-term link is fairly weak. Real Estate Chart II-12 Real Estate Real Estate Table II-12 A Guide To Chinese Domestic Equity Sector Performance A Guide To Chinese Domestic Equity Sector Performance Similar to investable real estate, our model shows that domestic real estate is a counter-cyclical sector in that it is negatively related to periods of rising economic activity, a rising LKI leading indicator, tight monetary policy, and rising core inflation. Overbought technical conditions have also aided in predicting future episodes of domestic real estate underperformance. Our model for domestic real estate stocks has performed quite well on average, but its predictive success since late-2017 has been mixed. This period of atypical underperformance has coincided with a considerably weaker rebound in residential floor space sold than has occurred in previous recoveries in the real estate market. This suggests that domestic real estate stocks are more susceptible to trends in housing sales than their investable peers (which appear to be mostly sensitive to rising house prices). We noted in our November 6 Weekly Report that floor space sold is picking up , but it still remains weak when compared with history. This, in combination with our view that the Chinese economy will improve over the coming year, suggests that investors should avoid domestic real estate exposure relative to the overall domestic equity market. Footnotes 1  Please see China Investment Strategy Special Report "A Guide To Chinese Investable Equity Sector Performance," dated October 30, 2019, available at cis.bcaresearch.com 2  Please see China Investment Strategy "Six Questions About Chinese Stocks," dated January 16, 2019, available at cis.bcaresearch.com 3  Please see China Investment Strategy Special Report "Chinese Equity Sector Earnings: Predictability, Cyclicality, And Relevance," dated June 19, 2019, available at cis.bcaresearch.com 4  Please see China Investment Strategy Weekly Report "China Macro And Market Review," dated November 6, 2019, available at uses.bcaresearch.com Cyclical Investment Stance Equity Sector Recommendations

Underweight The S&P restaurants index is often mistakenly used as an early cyclical vehicle to express the “vibrant consumer” theme. However, the name of the index is deceiving as MCD and SBUX comprise ~80% of the index’s market cap. Such a heavy tilt toward low-cost dining gives the index its defensive properties; up to very recently the relative share price ratio had been joined at the hip with our defensive sector gauge (top panel, on the next page). We remain underweight the S&P restaurants index and expect that the recent steep divergence with safe haven stocks will narrow via a “catch down” phase in the former. Forward looking profit fundamentals also corroborate that relative share prices have run way ahead of themselves. Real dining PCE is falling like a stone, and has historically been an excellent leading indicator of relative share prices, warning that restaurant stocks are vulnerable to a sizable pullback (PCE shown advanced, middle panel, on the next page). Further, the restaurant performance index is sending a similar message that the relative share price ratio’s path of least resistance remains to the downside (third panel, on the next page). Bottom Line: We remain underweight the S&P restaurants index. The ticker symbols for the stocks in this index are: BLBG: S5REST - MCD, SBUX, YUM, DRI, CMG. S&P Fast Food Index S&P Fast Food Index

Highlights In this report, we build and present models designed to predict the odds of Chinese investable equity sector outperformance, based on a set of macroeconomic and equity market factors. BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to help investors to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. Among the top six factors explaining historical periods of sector performance, three were macroeconomic in orientation, and two were directly related to the broad Chinese equity market. We see this as strongly supportive of the potential returns to be earned from active top-down sector rotation within China’s investable market. Cyclical stocks are very depressed relative to defensives, and we would favor them versus defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. Feature In our June 19 Special Report, we reviewed the predictability and cyclicality of equity sector earnings in China's investable & domestic markets, and examined the relevance of earnings in predicting relative sector performance over the past decade. We noted that a few sectors scored highly in terms of earnings predictability and the relevance of those earnings in predicting relative performance. But we also highlighted that most of China's equity sectors, in both the investable and domestic markets, either demonstrated earnings trends that were difficult to predict based on the trend in overall market earnings or exhibited relative performance that was difficult to explain based on the relative earnings profile. Our models are designed to predict equity sector relative performance using a series of macroeconomic and equity market factors. In short, our June report underscored that China’s equity sectors warranted a closer examination, with a particular emphasis on understanding the specific macroeconomic or equity market factors that have historically predicted relative sector performance. Today’s report examines this question in depth, focused on China’s investable equity market. We hope to extend our research to the A-share market in the near future. Our approach focuses on constructing and presenting models that quantify a checklist-based approach to determining the odds of equity sector performance. The aim is to use these models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use them as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We conclude by highlighting the substantial underperformance of cyclical vs defensives sectors over the past two years, and argue that it is highly unlikely that cyclicals will underperform defensives over the coming 12 months if China strikes a trade deal with the US and the economy incrementally improves, as we expect. We also explain the importance of monitoring the relative performance of health care & utilities stocks over the coming few months, and present a unique sector-based barometer for gauging China’s reflationary stance. The latter two relative performance trends are likely to assist investors in positioning for the big call: the outperformance of Chinese investable stocks vs the global benchmark. Detailing Our Approach In our effort to better understand historical periods of sector outperformance, we have chosen to model the probability of outperformance of each level 1 GICS sector (plus banks) based on a set of macro and equity market variables. Specifically, we use an analytical tool called a logistic regression, which forecasts the probability of a discrete event rather than forecasting the value of a dependent variable. We utilized this approach when building our earnings recession model for China (first presented in our January 16 Special Report1), and investors will often see it (in its conceptually different but practically similar probit form) employed when analyzing the likelihood of an economic recession. The New York Fed’s US recession model is a notable example of the latter,2 which has received much attention by market participants over the past year following the inversion of the US yield curve. The “events” that we modeled are historical periods of individual Chinese investable sector outperformance from 2010 to 2018, relative to the MSCI China index (the “broad market”). Charts I-1A and I-1B illustrate these periods with shading in each panel. We then attempt to explain these episodes of outperformance with the following macro predictors: Chart I-1AThis Report Builds Models Aimed At... This Report Builds Models Aimed At... This Report Builds Models Aimed At... Chart I-1B...Predicting The Shaded Regions Of These Charts ...Predicting The Shaded Regions Of These Charts ...Predicting The Shaded Regions Of These Charts Periods of accelerating economic activity, represented by our BCA's China Activity Index Periods of rising leading indicators of economic activity, represented by our BCA Li Keqiang Leading Indicator Episodes of tight monetary policy, defined as periods where China’s 3-month interbank repo rate is rising Periods of accelerating inflation, measured both by headline and core inflation We also include several equity market variables: uptrends in relative sector earnings, periods of rising broad market stock prices, uptrends in broad market earnings, and episodes of extreme technical conditions and relative over/undervaluation for the sector in question. In the case of energy stocks, we also include oil prices as a predictor. Charts I-2A and I-2B illustrate these periods as well as the macro & market variables that we have included as predictors. Chart I-2AWe Use These Macroeconomic And Equity Market Factors... We Use These Macroeconomic And Equity Market Factors... We Use These Macroeconomic And Equity Market Factors... Chart I-2B...To Predict Periods Of Equity Sector Outperformance ...To Predict Periods Of Equity Sector Outperformance ...To Predict Periods Of Equity Sector Outperformance Our approach also accounts for the existence of any leading or lagging relationships between the macro and market variables we have used as predictors and sector relative performance. In most cases the predictors lead relative sector performance, but in some cases it is the opposite. In the case of the latter, we have limited the lead of any variable in our models to 3 months in order to reduce the need to forecast. The link between tight monetary policy and industrial sector performance is one exception to this rule that we detail below. Finally, our approach also limits the extent to which we consider a leading relationship between our predictors and relative sector performance, in order to avoid picking up overlapping economic cycles. This issue, and the evidence supporting the existence of a 3½-year credit cycle in China, are detailed in Box 1. Box 1 Accounting For China’s 3½-Year Credit Cycle Over the course of the analysis detailed in this report, judgments concerning how much of a lead or lag to allow when accounting for any leading or lagging relationships between sector relative performance and either macroeconomic & stock market predictors were necessary. In cases where sector relative performance led any of our predictors, we capped the lead at 3-months to reduce the need to forecast the predictors when using the models. As explained below, the 8-month lead between industrial sector relative performance and tight monetary policy was the only exception to this rule. We also did not include any leading relationship between relative sector stock performance and the trend in relative sector EPS, and allowed at most a co-incident relationship. Limits were also required in the cases where our predictors led relative sector performance. While more lead time is usually better from the perspective of investment strategy, Chart I-B1 presents strong evidence of a 3½ -year credit cycle in China. Chart I-B2 illustrates the problem with including significant lags between predictors and relative sector performance when economic cycles are short. The chart shows the lead/lag correlation profile of the stylized cycle shown in Chart I-B1, and highlights that lags greater than 12-14 months risk picking up the impact of the previous economic cycle. Given this, we have limited the extent to which our predictors can lead relative sector performance in our models, and in practice lead times are generally less than one year. Chart I-B1Over The Past Decade, China Has Experienced A 3½-Year Credit Cycle A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Chart I-B2With Short Cycles, Excessive Lags Risk Picking Up The Previous Cycle With Short Cycles, Excessive Lags Risk Picking Up The Previous Cycle With Short Cycles, Excessive Lags Risk Picking Up The Previous Cycle The Key Drivers Of Chinese Investable Equity Sectors Pages 12-23 present the results of each sector’s outperformance probability model, along with a list of factors that were found to be useful predictors and a summary of the results. The importance of the factors included in the models is shown in each of the tables at the top right of pages 12-23 by a score of 1-3 stars, (loosely representing key levels of statistical significance) as well as each factor’s optimal lead or lag. A minus sign shows that the predictor leads sector relative performance, whereas a plus sign shows that it lags. Rising core inflation in China is the most important signal of sector performance that emerged from our analysis. Chart I-3China’s Sectors Linked Strongly To Core Inflation, Monetary Policy, And Growth A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Chart I-3 summarizes the significance of the factors in predicting sector performance in general, by summing up each predictor’s number of stars across all of the models. The chart shows that rising core inflation in China is the most important signal of sector performance that emerged from our analysis, followed by tight monetary policy, rising economic activity, rising broad market stock prices, oversold technical conditions, and rising broad market earnings. Chart I-3 highlights two important points: If regarded through the lens of causality alone, the strong relationship between rising core inflation and sector performance is somewhat surprising: normally, pricing power is subordinate to revenue/sales/demand as the primary factor driving fundamental performance. However, given that inflation is a lagging economic variable, we suspect that the significance of inflation in our models actually reflects the middle phase of the economic cycle in which sectors tend to best exhibit meaningful out/underperformance. It is also a stronger predictor of periods of tight monetary policy in China than headline inflation.3 This is an encouraging result for investors, as it suggests good odds that future episodes of meaningful sector outperformance can be identified given a particular macro view. Among the top six factors explaining historical periods of sector performance, three were macroeconomic in orientation, and two were directly related to the broad Chinese equity market. While Chinese equity sector performance can sometimes be idiosyncratic, we see this as strongly supportive of the idea that investors can earn positive excess returns by actively shifting between China’s equity sectors using a top-down approach. Turning to the specific results of our sector models, we present the following big-picture findings of our research: Defining China’s Cyclical & Defensive Sectors From a top-down perspective, the most important element of sector rotation typically involves shifting from defensive to cyclical stocks when economic activity is set to improve (and vice versa). In China, it is clear from the results of our models that the investable energy, materials, industrials, consumer discretionary, and information technology sectors are cyclical sectors. The relative performance of these sectors exhibits a positive relationship to pro-cyclical macro variables, or broad market trends. Following last year’s GICS changes, we also include the media & entertainment industry group (within the new communication services sector) in this list. Correspondingly, investable consumer staples, health care, financials, telecom services, utilities, and real estate are defensive sectors in China. Chart I-4Cyclical Stocks Are Bombed Out Versus Defensives Cyclical Stocks Are Bombed Out Versus Defensives Cyclical Stocks Are Bombed Out Versus Defensives Chart I-4 illustrates how these sectors have performed over the past decade by grouping them into equally-weighted cyclical and defensive stock price indexes, as well as the relative performance of cyclicals versus defensives. The chart makes it clear that cyclical stock performance is essentially as weak as it has ever been relative to defensives over the past decade, with the exception of a brief period in 2013. Panel 2 highlights that all of the underperformance of cyclicals over the past two years has been due to de-rating, rather than due to underperforming earnings. The Atypical Case Of Financials & Real Estate The fact that financial and real estate stocks are defensive in China is somewhat curious. In the case of financials, the abnormality is straightforward: most global equity portfolio managers would consider financials to be cyclical, and our work suggests that this is not true for the investable market. Our explanation for this apparent discrepancy is also straightforward: while small and medium banks in China have obviously grown in prominence over the past decade, large state-owned or state-affiliated commercial banks are still dominant in the provision of credit to China's old economy. In most cases China’s large banks lend to state-owned enterprises with implicit government guarantees, meaning that the earnings risk for Chinese banks has typically been lower than for the investable market in the aggregate. It remains to be seen whether this will remain true in a world where Chinese policymakers are keen to slow the pace at which China’s macro leverage ratio rises and to render the existing stock of debt more sustainable for the non-financial sector. Indeed, over a multi-year time horizon, the risk are not trivial that banks will be forced to recapitalize as a result of forced changes to loan terms (eg: significant increases in the amortization period of existing loans) or the recognition of sizeable loan losses, which would clearly increase the cyclicality of the Chinese investable financial sector. Chart I-5A Seeming Contradiction: Real Estate Is High-Beta, But Defensive A Seeming Contradiction: Real Estate Is High-Beta, But Defensive A Seeming Contradiction: Real Estate Is High-Beta, But Defensive On the real estate front, the anomaly is not that real estate stocks respond defensively to macroeconomic and stock market variables, it is that real estate stock prices are considerably more volatile than this defensive characterization would suggest. Globally (and especially in the US), real estate stocks are often viewed as bond proxies and thus are typically low-beta, but Chart I-5 shows that this is not the case in China. In our view, this issue is reconciled by the fact that Chinese investable real estate stocks are also highly positively linked to Chinese house price appreciation, with relative performance typically leading a pickup in house prices by up to 1 year. This strongly leading relationship has meant that real estate stocks have often outperformed the broad market as economic activity is slowing, in anticipation that policy easing will lead to an eventual recovery in house prices. Chart I-6Still Following The Defensive Playbook This Year Still Following The Defensive Playbook This Year Still Following The Defensive Playbook This Year In effect, investable real estate stocks are a high-beta sector that have acted counter-cyclically due to the historical interplay between economic activity, monetary policy, and the housing market. Real estate performance this year has not deviated from this playbook (Chart I-6), and so for now we are content to include real estate stocks in our defensive index. But similar to the case of financials, we can conceive of scenarios in which ongoing Chinese financial sector reform may change this relationship in the future. The Unique Monetary Policy Sensitivity Of Industrials And Consumer Staples Pages 14 and 16 highlight that industrials and consumer staples stocks have typically been sensitive to periods of tight monetary policy. In the case of industrials the relationship is negative, whereas consumer staples relative performance has been positively linked to these periods. In both cases, relative performance has led periods of tight monetary policy, significantly so in the case of industrials (by an average of 8 months). While the relative performance of banks, tech, and real estate stocks have also been linked to periods of tight monetary policy, industrials and consumer staples are the only sectors that have tended to lead these periods. Chart I-7Diverging Corporate Health Explains Industrials/Staples Monetary Policy Sensitivity Diverging Corporate Health Explains Industrials/Staples Monetary Policy Sensitivity Diverging Corporate Health Explains Industrials/Staples Monetary Policy Sensitivity This is a revelatory finding, and in our view it is explained by divergences in corporate health and leverage for the two sectors. We reviewed Chinese corporate health in our August 28 Special Report,4 and noted that the food & beverage sub-industry was a clear (positive) outlier based on our corporate health monitors. In particular, Chart I-7 highlights that food & beverage corporate health is markedly better than that for machinery companies or for industrial firms in general, supporting the notion that high (low) leverage is impacting the relative performance of industrials (consumer staples). The Leading Nature Of Health Care & Utilities Health care and utilities exhibit similar key drivers of relative performance: in both cases, periods of rising economic activity, rising core inflation, and rising broad market stock prices are all negatively associated with performance. Health care and utilities relative performance also happens to lead all three of those predictors, by 1-3 months on average depending on the variable in question. Our modeling work highlights that these are the only sectors whose relative performance has led multiple factors, suggesting that health care & utilities stocks are particularly interesting market bellwethers to monitor. Core Inflation Matters More Than Headline, Except For Energy & Real Estate As highlighted in Chart I-3, rising core inflation has been a much more important signal about relative sector performance than headline inflation. Chart I-8In China, Food Prices (Not Energy) Account For Headline/Core Differences In China, Food Prices (Not Energy) Account For Headline/Core Differences In China, Food Prices (Not Energy) Account For Headline/Core Differences The two exceptions to this rule relate to the energy and real estate sectors, with the former positively linked to headline inflation and the latter negatively linked. In both cases, we suspect that the relationship is a behavioral rather than a fundamental one. For energy, while rising headline inflation in developed countries is usually associated with rising energy prices, this is not true in the case of China. Chart I-8 highlights that differences between headline and core inflation over the past decade have almost always been driven by rising food prices. This implies that some investors (incorrectly) view energy stocks as a hedge against increases in consumer prices, even if those increases are not driven by rising fuel costs. In the case of real estate, investor expectations of eroding real disposable income and its impact on the housing market are likely the best explanation for the negative link between real estate relative performance and rising headline inflation. Whereas rising core inflation likely reflects a durable improvement in economic momentum (and thus would be positively correlated with income growth), episodes of rising Chinese headline inflation often reflect supply shocks that investors may perceive to be detrimental to household spending power (and thus expected housing demand). Investment Conclusions Our work aimed at explaining historical periods of Chinese investable sector outperformance has three investment implications in the current environment. Cyclicals will probably outperform defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. First, within China’s investable market, Chart I-4 illustrated that cyclical stocks are very depressed relative to defensives. Given our view that Chinese investable stocks are likely to outperform their global peers over a 6-12 month time horizon, we would also favor cyclicals to defensives over that period. For investors who are not yet overweight cyclical stocks in China, we would advise waiting for concrete signs that growth has bottomed (which should emerge sometime in Q1) before putting on a long position as we remain tactically neutral towards Chinese versus global stocks. But the key point is that it is highly unlikely that cyclicals will underperform defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. Second, the fact that investable health care and utilities stocks have particularly leading properties suggests that they should be monitored closely over the coming few months. A technical breakdown in the relative performance of these sectors would be an important sign that market participants are anticipating a bottoming in China’s economy, which may give investors a green light to position for a bullish cyclical stance. For now, both of these sectors continue to outperform (Chart I-9), supporting our decision to remain tactically neutral towards Chinese stocks. Third, the heightened negative sensitivity of industrials and positive sensitivity of consumer staples to monetary policy suggests that the relative performance trend between the two sectors may serve as a reflationary barometer for China’s economy. Chart I-10 shows that industrials outperformed staples last year once the PBOC shifted into easing mode, and anticipated the recovery in the pace of credit growth. However, industrials soon began to underperform staples, which also seems to have anticipated the fact that the recovery in credit was set to be less powerful than what has occurred during previous cycles. The fact that the relative performance trend is off its recent low is notable, and may suggest that China’s existing reflationary stance will be sufficient to stabilize economic activity if a trade deal with the US is indeed finalized in the near future. Chart I-9Key Defensive Sectors Are Still Outperforming, Supporting Our Neutral Tactical Stance Key Defensive Sectors Are Still Outperforming, Supporting Our Neutral Tactical Stance Key Defensive Sectors Are Still Outperforming, Supporting Our Neutral Tactical Stance Chart I-10Industrials Vs. Staples Anticipated That Easing Would Only Be Measured Industrials Vs. Staples Anticipated That Easing Would Only Be Measured Industrials Vs. Staples Anticipated That Easing Would Only Be Measured As a final point, BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use the models as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We hope you will find these models to be a helpful quantification of the risk versus return prospects of allocating among China’s investable sectors. As always, we welcome any feedback that you may have about our approach.   Energy Chart II-1 Energy Energy Table II-1 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance   Unsurprisingly, our energy sector model highlights that periods of energy outperformance are strongly linked to periods of rising crude oil prices. However, what is surprising is that periods of accelerating headline inflation in China are even more closely linked to periods of energy sector outperformance than episodes of rising oil prices, and that these periods of accelerating inflation are not generally caused by rising energy prices. The lack of a clear economic rationale for this relationship implies that some investors (incorrectly) view energy stocks as a hedge against increases in consumer prices, even if those increases are largely driven by rising food prices. The model also highlights that periods of strong undervaluation have historically been significant in predicting future energy sector outperformance, with a lag of roughly 8 months. The probability of energy sector outperformance has fallen sharply according to our model, but for now we continue to recommend a long absolute energy sector position on a 6-12 month time horizon. BCA’s Commodity & Energy Strategy service expects oil prices to trade at $70/barrel on average next year,5 Chinese headline inflation continues to rise, and we noted in our October 2 Weekly Report that energy stocks are heavily discounted.6 Barring a durable decline in oil prices below $55/barrel, investors should continue to favor China’s energy sector. Materials Chart II-2 Materials Materials Table II-2 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model highlights that the materials sector is one of the clearest plays on accelerating industrial activity within the investable universe. Among the macro variables that we tested, periods of investable materials outperformance are strongly positively linked with periods when our BCA Activity Index and our leading indicator for the index have been rising. Periods of materials sector outperformance have also been positively correlated with prior periods of oversold technical conditions and rising broad market stock prices, underscoring that materials are a strongly pro-cyclical sector. We currently maintain no active relative sector trades, but our model suggests that investors should be underweight the investable materials sector relative to the broad investable index. Industrials Chart II-3 Industrials Industrials Table II-3 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Periods of industrial sector outperformance have historically been positively correlated with relative industrial sector earnings, broad market stock prices, and prior oversold technical conditions. They have been negatively correlated with periods of tight monetary policy, rising core inflation, and prior overbought technical conditions. Since 2010, periods of industrial sector performance have led periods of tight monetary policy by 8 months, the longest lead of relative equity performance to any macro variable that we tested in our model (and the longest lead that we allowed). Industrial sector performance has also been strongly negatively linked with periods of rising core inflation. These findings, and the fact that our Activity Index and its leading indicator have not been highly successful at predicting periods of industrial sector outperformance, strongly suggest that industrials, while pro-cyclical, are primarily driven by expectations of easy monetary policy. We noted in an August 2018 Special Report that state-owned enterprises have become substantially leveraged over the past decade,7 and in a more recent report we highlighted that industries such as machinery have experienced a significant deterioration in corporate health over the past decade.8 This helps explain why industrial sector performance is so negatively impacted by tight policy. Our model suggests that the best time to be overweight industrial stocks is the early phase of an economic rebound, when Chinese stock prices are rising but market participants are not yet expecting tighter policy. These conditions may present themselves sometime in Q1, but probably not over the coming 0-3 months. Consumer Discretionary Ex-Internet & Direct Marketing Retail Chart II-4 Consumer Discretionary Ex-Internet & Direct Marketing Retail Consumer Discretionary Ex-Internet & Direct Marketing Retail Table II-4 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Besides materials, China’s investable consumer discretionary sector has historically been the most positively associated with coincident and leading measures of industrial activity. Rising core inflation is also highly positively related to consumer discretionary outperformance, which may reflect improved pricing power for the sector. The strong link with industrial activity is in contrast to depictions of China’s consumer sector as being less correlated to money & credit trends than the overall economy, and is supportive of our view that industrial activity forms one of the three pillars of China’s business cycle.9 We ended the estimation period of our model as of December 2018, in order to avoid including the distortive effects of last year’s changes to the global industry classification standard (which resulted in Alibaba’s inclusion and overwhelming representation in the investable consumer discretionary sector). As such, the results of our model apply today to consumer discretionary stocks ex-internet & direct marketing retail. For now, the absence of an uptrend in our Activity Index and in core inflation is signaling underperformance of discretionary stocks outside of internet & direct marketing retail. Outperformance this year largely reflects a significant advance in consumer durable and apparel: by contrast, automobiles & components have underperformed the broad market by roughly 14% year-to-date. Consumer Staples Chart II-5 Consumer Staples Consumer Staples Table II-5 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Historically, periods of consumer staples outperformance have been predicted by a falling Activity Index, periods of tight monetary policy, and over/undervalued conditions. The impact of monetary policy is particularly heavy in the model, suggesting that consumer staples are somewhat the mirror image of industrials in terms of the impact of leverage on relative equity performance. This too is supported by our August 28 Special Report,10 which noted that corporate health for the food & beverage sector was the strongest among the sectors we examined. However, the model failed to capture what has been very significant staples outperformance this year, highlighting the occasional limits of a rule-of-thumb approach to sector allocation. Investable consumer staples are reliably low-beta compared with the broad market, and we are not surprised that investors have strongly favored the sector this year amid enormous economic and policy uncertainty. An eventual improvement in economic activity, coupled with fairly rich valuation, should work against consumer staples stocks sometime in the first quarter of 2020. Investors who are positioned in favor of China-related assets should also be watching closely for any signs of a technical breakdown in the relative performance trend of investable staples. Health Care Chart II-6 Health Care Health Care Table II-6 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Among the macro variables tested in our model, periods of health care outperformance are negatively related to coincident and leading measures of industrial activity and strongly negatively related to rising core inflation.  Health care outperformance is also strongly negatively related to periods of rising broad market stock prices, and positively related to prior oversold technical conditions. These results clearly signify that investable health care is a defensive sector, to be owned when the economy is slowing and when investable stocks in general are trending lower. Our model suggests that health care stocks are likely to continue to outperform, as they have been since the beginning of the year. A substantive US/China trade deal that meaningfully reduces economic uncertainty remains the key risk to health care outperformance over a 6- to 12-month time horizon. Financials Chart II-7 Financials Financials Table II-7 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model highlights that periods of financial sector outperformance over the past decade have been negatively associated with periods of rising core inflation (a strong relationship), and with periods of rising index earnings. Oversold technical conditions have also helped explain future episodes of financial sector outperformance. The link between core inflation and the outperformance of financials appears to represent a behavioral rather than a fundamental relationship. When modeling periods of rising financial sector relative earnings, the trend in broad market EPS is more predictive than that of core inflation, highlighting that the latter’s explanatory power is due to investor behavior. The results of our model, and the fact that core inflation leads Chinese index earnings, suggests that financials are fundamentally counter-cyclical and that investors see rising Chinese core inflation as confirmation that an economic expansion is underway (and that broad market earnings are likely to rise). Our model is currently predicting financial sector outperformance, but investable financials have modestly underperformed since the beginning of the year. This appears to have been caused by the underperformance of financial sector earnings this year as overall index earnings growth has decelerated, contrary to what history would suggest. We suspect that the ongoing shadow banking crackdown is related to financial sector earnings underperformance, and we would advise against an overweight stance towards investable financials until signs of improving relative earnings emerge. Banks Chart II-8 Banks Banks Table II-8 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model shows that periods of banking sector outperformance are more linked to macro variables than has been the case for the overall financial sector. Specifically, bank performance is negatively correlated with leading indicators of economic activity and rising core inflation, and especially negatively correlated with periods of tight monetary policy. Banks have also typically outperformed following periods of oversold technical conditions. Similar to financials, bank earnings are typically counter-cyclical, but relative bank earnings have not been good predictors of relative bank performance over the past decade. Still, the negative association of relative stock prices with leading economic indicators, rising core inflation and rising interest rates underscores that investors should normally be underweight banks if they expect overall Chinese stock prices to rise. Also similar to the overall financial sector, our model is currently predicting outperformance for bank stocks, but investable banks have underperformed year-to-date. The shadow banking crackdown is also likely impacting investable bank earnings, leading to a similar recommendation to avoid bank stocks until relative earnings look to be trending higher. “Tech+”   Chart II-9 Tech+' Tech+' Table II-9 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our technology model has worked well at predicting periods of tech sector outperformance over the past several years, particularly from 2015 – 2017. The model suggests that, in addition to being negatively related to prior overbought conditions, periods of technology sector outperformance are associated with improving growth conditions, easy monetary policy, and rising prices. In other words, tech stocks are a growth & liquidity play. Owing to last year’s changes to the GICS, the results of our model apply today to Chinese investable internet & direct marketing retail, the media & entertainment industry group (within the new communication services sector), and the now considerably smaller information technology sector (the sum of which could be considered the “tech+” sector). The model has been predicting tech sector outperformance since May (in response to easier monetary policy), which has occurred for the official information technology sector. However, the BAT (Baidu, Alibaba, and Tencent) stocks are only up fractionally in relative terms from their late-May low. Our expectation that China’s economy is likely to bottom in Q1 means that we may recommend upgrading “tech+” stocks relative to the investable benchmark in the coming months. Telecom Services Chart II-10 Telecom Services Telecom Services Table II-10 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model for telecommunication services (now a level 2 industry group within the communication services sector) illustrates that telecom stocks have historically been counter-cyclical. Periods of telecom outperformance have been negatively associated with periods of rising core inflation, rising broad market stock prices, and rising broad market EPS. It is notable that telecom services stocks are driven more by cycles in overall stock prices than by cycles in economic activity. This suggests that investors tend to focus on the fact that telecom stocks are reliably low-beta compared with the overall investable market, causing out(under)performance of telecoms when the broad market is falling(rising). Similar to financials & banks, telecom stocks have not outperformed this year, in contrast to what our model would suggest. Earnings also appear to be the culprit, with the level of 12-month trailing earnings having fallen nearly 10% since the summer. China Mobile accounts for a sizeable portion of the telecom services index, and the company’s recent earnings weakness seems to be due to depreciation charges stemming from forced investment on 5G spending (mandated by the Chinese government). Our sense is that this will have only a temporary effect on telecom services EPS, meaning that investors should continue to expect the sector to behave in a counter-cyclical fashion over the coming year. Utilities Chart II-11 Utilities Utilities Table II-11 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance The early performance of our utilities model was mixed, as it generated several false sell signals during the 2011 – 2013 period despite recommending, on average, an overweight stance. However, over the past five years, the model has performed extremely well in terms of explaining periods of relative utilities performance. The model highlights that utilities are straightforwardly counter-cyclical. The relative performance of utilities stocks is positively related to its relative earnings trend, and negatively related to economic activity, rising core inflation, and broad market stock prices.  Consistent with a decline in the overall MSCI China index, the model has correctly predicted utilities outperformance this year. We expect utilities to underperform over a 6-12 month time horizon, but would advise against an aggressive underweight position until hard evidence of a bottom in Chinese economic activity emerges. Real Estate Chart II-12 Real Estate Real Estate Table II-12 A Guide To Chinese Investable Equity Sector Performance A Guide To Chinese Investable Equity Sector Performance Our model for the relative performance of investable real estate has been among the most successful of those detailed in this report, which is somewhat surprising given the macro factors that the model shows drive real estate performance. While periods of relative real estate performance are modestly (negatively) associated with periods of tight monetary policy, rising headline inflation is the most important macro predictor of real estate underperformance. Among market factors driving performance, real estate stocks reliably underperform when broad market EPS are trending higher, and they historically outperform for a time after becoming relatively undervalued. Real estate relative performance is also strongly linked to periods of rising house prices, but the former tends to significantly lead the latter. Given that core inflation has better predicted episodes of tight monetary policy than headline inflation, investor expectations of eroding real disposable income is likely the best explanation for the negative link between real estate relative performance and rising headline inflation. Whereas rising core inflation likely reflects a durable improvement in economic momentum (and thus would be positively correlated with income growth), episodes of rising Chinese headline inflation often reflect supply shocks that investors may perceive to be detrimental to household spending power (and thus expected housing demand). Beyond the negative link between higher inflation and interest rates on investable real estate performance, the strong negative association with broad market earnings underscores that investors treat real estate as a defensive sector. We thus expect real estate stocks to continue to outperform in the near term, but underperform over a 6-12 month time horizon.   Jonathan LaBerge, CFA Vice President jonathanl@bcaresearch.com   Footnotes 1. Please see China Investment Strategy, "Six Questions About Chinese Stocks," dated January 16, 2019. 2. Please see Federal Reserve Bank of New York, The Yield Curve as a Leading Indicator at https://www.newyorkfed.org/research/capital_markets/ycfaq.html 3. This is despite frequent concerns among investors that the PBOC is inclined to tighten in response to detrimental supply shocks. 4. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. 5. Please see Commodity & Energy Strategy, "Policy Uncertainty Lifts USD, Stifles Global Oil Demand Growth," dated October 17, 2019. 6. Please see China Investment Strategy, "China Macro & Market Review," dated October 2, 2019. 7. Please see China Investment Strategy, "Chinese Policymakers: Facing A Trade-Off Between Growth And Leveraging," dated August 29, 2018. 8. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. 9. Please see China Investment Strategy, "The Three Pillars Of China’s Economy," dated May 16, 2018. 10. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. Cyclical Investment Stance Equity Sector Recommendations

Underweight The downward oscillation in the S&P homebuilders index is slowly taking shape as the index lost more than 4% versus the SPX since inception a mere eight trading days ago. While still early we are surprised by the ferocity of the fall which likely signals that homebuilders have been a crowded trade. Now that interest rates are rising we reckon there is staying power in the recent down move as this niche index unwinds overbought conditions. At the margin, a hawkish Fed cut later today could put additional pressure on this interest rate-sensitive index. Finally, earnings prospects face stiff headwinds as not only lumber costs are galloping higher, but also new home prices are deflating as we highlighted in our recent Weekly Report. Bottom Line: We reiterate our recent downgrade to underweight in the S&P homebuilding index. The ticker symbols for the stocks in this index are: BLBG – S5HOME – DHI, LEN, PHM, NVR. Downward Homebuilding Oscillation Downward Homebuilding Oscillation