Consumo Discrecional

Informe especial

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 I-1B...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 I-2B...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 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 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   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 I-6B...But Not So In The Domestic##br## 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 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 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* 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 Table II-1 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 Table II-2 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 Table II-3 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 Table II-4 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 Table II-5 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 Table II-6 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 Table II-7 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 Table II-8 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 Table II-9 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 Table II-10 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 Table II-11 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 Table II-12 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.

Informe especial

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... Chart I-1B...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... Chart I-2B...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 Chart I-B2With 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 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 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 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 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 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 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 Chart I-10Industrials 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 Table II-1   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 Table II-2 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 Table II-3 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 Table II-4 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 Table II-5 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 Table II-6 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 Table II-7 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 Table II-8 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 Table II-9 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 Table II-10 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 Table II-11 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 Table II-12 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.

Underweight This Wednesday’s Hilton Worldwide Holdings earnings call was littered with cautious commentary during the Q&A section of the call. Specifically, Hilton mentioned that all around global uncertainty be it Brexit, Trade Wars, and other geopolitical events such as U.S. elections and impeachment process, are weighing on travel intensions. The above factors affect both leisure and business travel. Keep in mind that the ISM non-manufacturing survey has taken a beating of late (bottom panel) and revpar is also showing signs of distress (not shown). Nosediving small businesses’ capex intentions are also highlighting that CEOs remain cautious and are likely to become even more prudent with expense management. Historically, slowing capex has been a good predictor of personal income growth, which is also set to slow down (middle panel) subtracting from overall travel budgets. Finally, the U.S. consumer is sending a similar message as sentiment remains below the cyclical peak. Bottom Line: We reiterate our underweight call on the S&P hotels, resorts & cruise lines index. This position is currently up 18% since inception. The ticker symbols for the stocks in this index are: BLBG: S5HOTL – MAR, HLT, RCL, CCL, NCLH.  

Underweight In yesterday’s Weekly Report1 we recommended downgrading the niche S&P homebuilding index to underweight, as most, if not all, positive profit drivers are already reflected in relative share prices. The drop in interest rates has been more than accounted for by the year-to-date outperformance in homebuilders and is no longer a positive catalyst. For instance, the mortgage application purchase index (MAPI) initially benefited from the plunge in interest rates, but the recent 30bps rise in the 10-year Treasury signals that the MAPI has tentatively crested (second panel). Simultaneously, lumber prices are gaining steam and coupled with contracting new home prices signal that homebuilding profits will suffer a setback (middle & fourth panels). This stands in marked contrast to the sell-side community that has been ratcheting up profit estimates for the S&P homebuilding index (bottom panel). Bottom Line: Downgrade the S&P homebuilding index to underweight. For additional details on the rationale behind this move please refer to the most recent Weekly Report.1 The ticker symbols for the stocks in this index are: BLBG – S5HOME – DHI, LEN, PHM, NVR.   1  Please See U.S. Equity Strategy, "Is This It?," dated October 21, 2019.

Aspectos destacados Estrategia de cartera La débil demanda de vivienda, el mínimo en las tasas de interés, la deflación de los precios de viviendas nuevas y las pobres perspectivas de empleo en la industria sugieren que ahora procede una posición infraponderada en el índice S&P homebuilding.      El fortalecimiento de la dinámica demanda/oferta, las regulaciones IMO Sulfur 2020, y las expectativas de beneficios relativos hundidas indican que hay más ganancias por delante para las acciones puras de refino. Cambios recientes Bajar la calificación del índice S&P de construcción de viviendas a infraponderado, hoy. Tabla 1 ¿Esto es todo? ¿Esto es todo? Artículo Las acciones intentaron alcanzar nuevos máximos históricos la semana pasada, continuando con el entusiasmo por el acuerdo comercial "fase uno" y respirando con alivio por resultados bancarios mejores de lo esperado. Dudamos que se materialice un acuerdo real que incluya la Propiedad Intelectual y el sector tecnológico. En el mejor de los casos, lo único que obtuvimos fue una tregua comercial. Vale la pena repetir la reciente analogía futbolística de Larry Kudlow: “Es como estar en la línea de siete yardas en un partido de fútbol... Y como fanático sufridor de los New York Giants, podrían estar en la línea de siete y nunca logran llevar el balón a la zona de anotación... Cuando llegas al último 10 por ciento, a la línea de siete yardas, es difícil”. Como recordatorio, las altas tarifas permanecen vigentes y hay muchas probabilidades de que el daño ya infligido al comercio global sea lo suficientemente severo como para que pasen meses antes de que surjan brotes verdes. Mientras tanto, dando seguimiento a nuestro “candidato a gráfico del año” que publicamos hace dos semanas, profundizamos y descubrimos dos índices económicos sensibles adicionales que consistentemente alcanzaron su pico antes que el SPX en los tres ciclos anteriores (Gráfico 1). Ahora conforman el Indicador Líder de Acciones de la Estrategia de Renta Variable de EE. UU.: un compósito con ponderación igual del índice S&P Banks, el índice Russell 2000 y el índice Value Line Geometric, que señala que el dinero fácil ya se ha hecho este ciclo en el SPX (Gráfico 2). Gráfico 1 Tres señales infalibles... Tres señales infalibles... Tres señales infalibles... Gráfico 2 ...Combinadas en un único indicador líder de acciones ...Combinados en un único indicador líder de renta variable ...Combinados en un único indicador líder de renta variable Es importante subrayar que, en ausencia de crecimiento de beneficios, sigue siendo extremadamente difícil que las acciones emprendan un nuevo tramo alcista sostenible confiando únicamente en la expansión de múltiplos. Gráfico 3 muestra nuestro actualizado Indicador de Poder de Fijación de Precios Corporativos (CPPI) y continúa desinflándose. De hecho, la fuerte caída de nuestro CPPI compensa más que la caída en el crecimiento salarial, advirtiendo que la contracción de márgenes en el S&P 500 tiene poder de persistencia1 (panel inferior, Gráfico 3). Analizando en profundidad, nuestro CPPI está agitando una bandera roja. Como recordatorio, calculamos el poder de fijación de precios por grupo industrial a partir de las tasas de crecimiento relevantes del CPI, PPI, PCE y las materias primas para cada uno de los 60 grupos industriales que seguimos. Tabla 2 también destaca las tendencias de poder de fijación de precios a más corto plazo y la diferencia de cada industria con respecto a la inflación general. Sólo el 42% de las industrias que cubrimos están elevando los precios de venta en más del 1%, y el 33% están claramente deflacionando. Preocupantemente, solo el 26% de los sectores están subiendo precios a un ritmo superior al de la inflación general. En cuanto a las tendencias de poder de fijación de precios, dos tercios de las industrias que cubrimos están o bien planas o en tendencia descendente (Tabla 2). Gráfico 3 Poder de fijación de precios corporativo nulo Nulo poder corporativo de fijación de precios Nulo poder corporativo de fijación de precios Tabla 2 Poder de fijación de precios por grupo industrial ¿Es esto todo? ¿Es esto todo? El oro ha saltado a la cima de nuestra tabla galopando a una tasa del 26% anual (recuerde que estaba en deflación en nuestra actualización de principios de julio), y solo tres industrias adicionales relacionadas con materias primas llegaron al top veinte (Tabla 2). La desaparición del complejo de materias primas de los primeros puestos es consistente con los problemas del PPI global y la fortaleza del dólar estadounidense. Esta semana actualizamos dos grupos, uno temprano y otro profundamente cíclico. Curiosamente, los sectores defensivos tienen una presencia saludable en los diez primeros puestos con cinco entradas. Por el contrario, las materias primas en general y las industrias relacionadas con la energía en particular ocupan la parte baja de la clasificación, ya que el crudo WTI está deflacionando fuertemente desde el pico de octubre de 2018. Sumando todo, la inflación de precios de venta del sector corporativo se está hundiendo en línea con las expectativas de inflación deprimidas. Como planteamos en nuestro reciente Informe Especial sobre márgenes de beneficio, los márgenes de beneficio ya han alcanzado su pico para el ciclo. Reiteramos nuestra visión cautelosa del mercado accionario en un horizonte cíclico de 9 a 12 meses. Esta semana actualizamos dos grupos, uno temprano y otro profundamente cíclico. Resquebrajando los cimientos de la construcción de viviendas Recomendamos degradar el nicho del índice S&P homebuilding a infraponderado, ya que la mayoría, si no todos, los impulsores positivos de beneficios ya están reflejados en los precios relativos de las acciones. Específicamente, la caída de las tasas de interés ha sido más que compensada por el comportamiento superior en lo que va del año de los constructores de viviendas. Desde la Gran Recesión, los constructores de viviendas han estado en ciclos claramente definidos de subidas y bajadas, y hay muchas probabilidades de que pronto entremos en una oscilación descendente (panel inferior, Gráfico 4). Las tasas de interés tocaron fondo a principios de septiembre y hay poco impulso adicional que puedan ejercer sobre los precios relativos de las acciones (rendimiento del Treasury a 10 años mostrado invertido, panel superior, Gráfico 4). Gráfico 4 Las ganancias relativas están agotadas Las ganancias relativas están agotadas. Las ganancias relativas están agotadas. Preocupantemente, las expectativas de los consumidores de comprar una vivienda nueva se desplomaron el mes pasado según la encuesta de The Conference Board, y esa debilidad en la demanda afectará a los inicios de vivienda y, en última instancia, a los ingresos de la construcción de viviendas (Gráfico 5). Gráfico 5 Aparecen grietas Formación de grietas Formación de grietas Para colmo, los precios de venta de casas nuevas están perdiendo terreno frente a los precios de las viviendas existentes, pero dicho descuento ya no está impulsando los volúmenes dado que las ganancias de cuota de mercado de ventas de viviendas nuevas se han estancado recientemente. Ya, las ventas del S&P homebuilding están contrayéndose y existe el riesgo de que la deflación se arraigue en esta industria de la construcción (Gráfico 6). Aunque el índice de solicitudes de hipoteca para compra (MAPI) ha estado subiendo por el desplome de las tasas de interés, el aumento de 30 puntos básicos en el rendimiento del Treasury a 10 años desde el 1 de septiembre indica que el MAPI ha alcanzado tentativamente su pico (segundo panel, Gráfico 7). Gráfico 6 Ventas en contracción Ventas por contrato Ventas por contrato Gráfico 7 Problemas de margen Problemas de margen Problemas de margen Simultáneamente, los precios de la madera están cobrando fuerza y, junto con la contracción de los precios de viviendas nuevas, señalan que las ganancias de los constructores sufrirán un retroceso (paneles medio y cuarto, Gráfico 7). Esto contrasta notablemente con la comunidad sell-side que ha estado aumentando las estimaciones de beneficios para el índice S&P homebuilding (panel inferior, Gráfico 7). Resumiendo, la débil demanda de vivienda, el mínimo en las tasas de interés, la deflación de los precios de viviendas nuevas y las deterioradas perspectivas de empleo en la industria sugieren que ahora procede una posición infraponderada en el índice S&P homebuilding. En el frente operativo, el mercado laboral también emite una señal de alarma. Las ofertas de empleo en la industria de la construcción están cayendo como una piedra y el crecimiento del empleo en la construcción residencial coquetea con la zona de contracción. Históricamente, los flujos y reflujos en los empleos de la construcción han ido a la par con el rendimiento relativo de los precios de las acciones y el mensaje actual es esperar una caída en estos últimos (Gráfico 8). La mayoría de los indicadores que seguimos subrayan un entorno desafiante para la construcción de viviendas en los próximos meses. Sin embargo, existe un riesgo clave para nuestra visión: las tasas de interés. Si la tasa hipotecaria fija a 30 años cayera más desde los niveles actuales, atraerá a los compradores de primera vivienda y amortiguaría el golpe a la demanda de construcción de viviendas (tasas hipotecarias mostradas invertidas, panel superior, Gráfico 9). De forma similar, los banqueros están dispuestos a extender crédito hipotecario y están reportando una demanda creciente de préstamos inmobiliarios residenciales como consecuencia rezagada de la caída de las tasas. Pero, nuestra sensación es que las ganancias fáciles están agotadas y está a la vista una reversión en la mayoría de estas medidas (Gráfico 9). Gráfico 8 Preste atención al mensaje del mercado laboral Preste atención al mensaje del mercado laboral Preste atención al mensaje del mercado laboral Gráfico 9 La posible caída de las tasas es un riesgo clave Las Tarifas Potencialmente Más Bajas Son Un Riesgo Clave Las Tarifas Potencialmente Más Bajas Son Un Riesgo Clave Resumiendo, la débil demanda de vivienda, el mínimo en las tasas de interés, la deflación de los precios de viviendas nuevas y las deterioradas perspectivas de empleo en la industria sugieren que ahora procede una posición infraponderada en el índice S&P homebuilding. Conclusión: Bajar la calificación del índice S&P homebuilding a infraponderado, hoy. Los símbolos bursátiles de las acciones de este índice son: BLBG – S5HOME – DHI, LEN, PHM, NVR. Mantenerse con las refinerías Aunque nuestra visión alcista sobre las refinerías tuvo un comienzo resbaladizo, ha recuperado todas las pérdidas y esta posición ahora está en positivo. Los factores están alineándose para ganancias adicionales en los próximos meses y recomendamos que los inversores mantengan esta recomendación de sobreponderar en acciones puras del downstream. De manera alentadora, las acciones de refino han estado superando al índice energético general últimamente y han reanudado su tendencia relativa alcista de varios años (panel superior, Gráfico 10). En cuanto a la válvula de alivio de las exportaciones, las exportaciones netas de productos refinados de EE. UU. están en una tendencia secular al alza y sorprendentemente no se ven afectadas por los movimientos del dólar (panel inferior, Gráfico 10). Sume las regulaciones de la Organización Marítima Internacional (IMO) Sulfur 2020 que pronto se adoptarán en el combustible de transporte marítimo, y las refinerías de EE. UU. que producen fuelóleo de menor azufre están bien posicionadas para superar en rentabilidad al SPX. Gráfico 10 Reanudada la tendencia alcista Tendencia alcista reanudada Tendencia alcista reanudada El consumo doméstico de productos refinados se mantiene vigoroso y debería servir como catalizador para desbloquear un excelente valor en este subgrupo energético nicho (panel medio, Gráfico 11). De hecho, el consumo de gasolina está volviendo a expandirse por el aumento de los kilómetros recorridos por vehículo (panel inferior, Gráfico 11). Gráfico 11 Demanda sólida... Demanda sólida... Demanda sólida... La dinámica de oferta de productos de refinería también se está moviendo en la dirección correcta. Los inventarios de gasolina se están reduciendo y deberían impulsar las expectativas de beneficios relativos castigadas de las refinerías (inventarios mostrados invertidos, panel inferior, Gráfico 12). Es importante, este contexto de demanda/oferta más firme ha sido un impulso para los márgenes de refino y debería continuar sustentando el impulso relativo de los precios de las acciones (panel medio, Gráfico 12). En términos de lo que ya está descontado para esta industria, la barra esperada de crecimiento de beneficios es extremadamente baja y está cayendo, y el valor relativo se ha restaurado por completo. Primero, en términos de valoraciones relativas, la ratio precio/ventas relativa histórica se ha corregido un 35% desde el pico de mediados de 2018 (panel medio, Gráfico 11). En términos de PER a futuro, las refinerías son extremadamente atractivas comparadas con el SPX tras una casi reducción a la mitad en el PER futuro relativo en los últimos quince meses (segundo panel, Gráfico 13). Gráfico 12 ...El contexto de oferta está impulsando los 'crack spreads'  ...El entorno de la oferta está impulsando los crack spreads ...El entorno de la oferta está impulsando los crack spreads Gráfico 13 El umbral de beneficios es inusualmente bajo El umbral de ganancias está inusualmente bajo El umbral de ganancias está inusualmente bajo En segundo lugar, el crecimiento EPS relativo ha caído por debajo de la línea cero tanto a doce meses como a cinco años vista. Ese pesimismo está sobredimensionado y nos inclinaríamos a contradecir el pesimismo del sell-side (panel inferior, Gráfico 13). Incluso la ratio de revisiones de ganancias netas de la industria de refino se ha desplomado, lo cual es contrariamente positivo (tercer panel, Gráfico 13). Sumando todo, la firmeza de la dinámica demanda/oferta, las regulaciones IMO Sulfur 2020, y las expectativas de beneficios relativos hundidas indican que hay más ganancias por delante para las acciones puras de refino. Conclusión: Mantener sobreponderado el índice S&P oil & gas refining & marketing. Los símbolos bursátiles de las acciones de este índice son: BLBG – S5OILR – MPC, VLO, PSX, HFC.   Anastasios Avgeriou, Estratega de renta variable de EE. UU. anastasios@bcaresearch.com   Notas al pie 1      Consulte el Informe Especial de BCA U.S. Equity Strategy, “Peak Margins” de fecha 7 de octubre de 2019, disponible en uses.bcaresearch.com. Recomendaciones actuales Operaciones actuales Visión sobre tamaño y estilo Mantener neutral: cíclicos frente a defensivos   (alerta de degradación) Favorecer el valor sobre el crecimiento Favorecer las grandes capitalizaciones sobre las pequeñas (Stop 10%)

Informe especial

Today we are also publishing a Special Report titled Chinese Auto Demand: Time For A Recovery? Highlights India is the third-largest world consumer of crude oil. Hence, fluctuations in its oil consumption is a non-negligible factor behind global oil prices. India’s petroleum demand growth is slowing cyclically due to the domestic demand slump and a dramatic drop in vehicle sales. This, combined with China’s ongoing slowdown in petroleum product demand, will have a non-trivial impact on oil prices in the next six months. From a structural perspective, India’s long-term demand growth for petroleum is decelerating as well. Feature India’s petroleum products consumption growth is slowing. Chart 1India Is The World's Third Largest Crude Oil Consumer India is the world’s third-largest consumer of crude oil, guzzling 5% of global consumption (Chart 1). Hence, fluctuations in India’s crude oil/petroleum consumption is a non-negligible factor affecting global oil prices. India’s petroleum products consumption growth is slowing. This comes on top of China’s ongoing petroleum demand deceleration. Together, the two countries account for 19% of the world’s oil intake. Therefore, deceleration in their oil consumption growth will have a considerable impact on the outlook for global oil demand growth. A Pronounced Cyclical Oil Demand Slump Indian petroleum consumption growth has decelerated significantly on the back of slumps in Indian domestic spending and economic activity (Chart 2). Please click on this link for an in-depth analysis on the domestic demand slump in India. Chart 2Indian Petroleum Consumption Growth Has Been Dwindling Specifically, vehicle purchases and industrial sectors have been hit hard. These sectors are critical for Indian petroleum consumption, since transportation demand accounts for 50% and industrial activity for around 25% of total petroleum consumption (Chart 3). Indian vehicle sales have been in freefall. Chart 3Transportation & Industry Guzzle The Most Fuel In India Chart 4Indian Vehicle Sales Are In Deep Contraction Indian vehicle sales have been in freefall. Chart 4 shows passenger car sales are shrinking at 30% and sales of two and three-wheeler units are contracting at 20% from a year ago. Moreover, commercial vehicles and tractor unit sales are falling at annual rates of 35% and 10%, respectively. Chart 5 illustrates that the number of registered vehicles is expanding at a lower rate than before – i.e., its second derivative has turned negative. This signals a further growth slowdown in gasoline and diesel consumption. We use the second derivative in this analysis because registered vehicles are a stock variable. However, we are trying to explain changes in petroleum consumption which is a flow variable. Therefore, the second derivative of a stock variable (the number of registered cars on the road) explains the first derivative of a flow variable (the growth rate of oil consumption). Looking ahead, vehicle sales will remain in the doldrums because of a lack of financing. In particular, the impulse on auto loans issued by commercial banks is negative (Chart 6). Chart 5Slowing Growth Of Vehicles On The Road = Weaker Pace Of Fuel Consumption Chart 6Indian Banks: Negative Vehicle Loan Impulse More worrisome is the ongoing turmoil in India’s non-bank finance sector (NBFCs), which has also significantly hit auto sales. In the past, the NBFC sector played a major role in funding Indian auto purchases. For instance, according to the ICRA, an independent rating agency in India, NBFCs have helped fund the purchases of 65% of two-wheelers, 30% of passenger cars and around 55% of commercial vehicles – both new and used. Given these non-bank finance companies are currently facing formidable funding and liquidity pressures amid rising NPLs (Chart 7), they are being forced to shrink their balance sheets. This is damaging to auto sales. Please click here for an in-depth analysis on the Indian banking and non-bank finance sectors. Chart 7Major Asset-Liability Mismatches Among Indian Non-Bank Finance Sector Chart 8India's Capex Has Been Weak Turning to the industrial sector, overall Indian capital spending has been weak. India’s real gross fixed capital formation has rolled over, the number of capex projects underway is nosediving and both capital goods imports and production are contracting by 7% and 12% on an annual basis (Chart 8). Falling industrial activity has taken a toll on the consumption growth of petroleum products with industrial applications, such as bitumen, naphtha and petroleum coke, etc. The growth rate in demand for these products is dropping — a significant development since they account for 25% of overall petroleum consumption in India.1  Bottom Line: India’s petroleum consumption growth has been slowing drastically from a cyclical perspective. And Moderating Structural Oil Demand Growth It appears there are structural factors at play that will also reduce India’s long-term demand for petroleum. On top of the cyclical demand slowdown, it appears there are structural factors at play that will also reduce India’s long-term demand for petroleum: Chart 9Impressive Efficiency Gains In India's Vehicle Fleet The fuel efficiency of India’s vehicle fleet is markedly improving (Chart 9). Additionally, since 2015-16 the Indian government has been proactively pursuing new emission/fuel efficiency standards. For instance, emissions standards for new passenger vehicles will fall to 4.2 L/100 KM by 2023 down from its current level of 4.6 L/100 KM. This will lead to a 7% reduction in auto fuel consumption. While this is not a large reduction, the government has the scope to implement even stricter standards since Indian car makers are easily meeting these targets. Finally, the Indian government has been aggressively promoting electric vehicles (EVs) as an alternative to traditional autos. It has made the advancement of this sector a priority. Ownership of EVs is currently negligible in India. However, the government is pushing for EVs to make up 30% of vehicle sales by 2030. In addition, it has been providing incentives such as sales tax cuts and subsidies to the sector. Finally, Mahindra and Tata Motors are already establishing a lead in the EV industry and are developing new EV models in collaboration with foreign automakers.  Bottom Line: The pace of India’s structural demand for petroleum will also be downshifting. Oil Inventory Not A Critical Factor Chart 10China: Oil Inventory Drives Oil Imports Inventory accumulation and destocking can play an important role in oil price fluctuations. For example, inventory accumulation plays a key role in driving Chinese crude oil imports (Chart 10). There is a dearth of data on Indian oil inventories to make a strong inference about its de- and re-stocking cycles. However, we have the following observations: India has the capacity to store 5.33 million tons worth of strategic oil reserves - equivalent to around 10 days of its crude oil consumption. It is not clear whether or not these reserves are at full capacity. However, even if we assume they are only 50% full and the government decides to fill its reserves all at once, this would require the importation of an additional 2.67 million tons of oil, equivalent to only 1.2% of Indian crude oil imports and 0.05% of global crude oil demand. This is a negligible amount, and is unlikely to have any impact on global oil prices. Furthermore, while the Indian government is planning to expand its storage capacity by an extra 6.5 million tons, this will only take place in the next six to eight years. Thus, it will not meaningfully affect oil imports in the medium term. Chart 11India: Oil Consumption Drives Oil Imports Finally, India’s crude oil imports are strongly correlated with its petroleum final consumption (Chart 11). Therefore, it is reasonable to assume that Indian consumption – not the oil inventory cycle – is relevant for crude imports, and by extension for oil prices. Bottom Line: India’s petroleum product and crude oil inventory fluctuations are too small to influence the nation’s crude imports and hence global oil prices. Investment Conclusions From a cyclical perspective, Indian final demand for crude oil has been weakening. A major re-acceleration in economic growth and hence oil demand is not imminent. We discuss the outlook for China’s auto sales in a separate report published today. Together India and China consume 19% of world oil, and therefore a deceleration in their oil consumption growth will have a non-trivial impact on the pace of global oil demand growth. Chart 12Expansion Pace Of Vehicles On The Road Has Downshifted In India & China Our estimations for annual growth in cars on the road (excluding 2-wheelers) has dropped to 5.8% in India and 10.5% in China (Chart 12). This entails a slower pace of oil demand growth than in the past. Besides, if one rightly assumes petroleum consumption per car is declining for structural reasons due to technological advancements by car manufacturers and enforcement of stricter efficiency standards by governments, oil consumption growth will be considerably slower going forward relative to the past 20 years. Together India and China consume 19% of world oil, and therefore a deceleration in their oil consumption growth will have a non-trivial impact on the pace of global oil demand growth. This presents a major risk for crude prices in the next 6 months or so. Beyond the cyclical horizon, the long-term demand outlook for oil is also downbeat. Please note that this is the view of BCA’s Emerging Markets Strategy team, and differs from that of BCA’s house view, which is bullish on oil. Chart 13India’s Relative Equities Performance Benefits From Lower Oil Prices In turn, low oil prices are positive for the relative performance of Indian stocks versus the EM equity benchmark (Chart 13). This was among the primary reasons why we upgraded the allocation to this bourse within an EM equity portfolio to neutral from underweight on September 26, 2019. In absolute terms, the outlook for Indian share prices remains downbeat, as discussed in the same report. Finally, to express our negative view on oil prices, we are reiterating our short oil and copper / long gold position recommended on July 11, 2019. Industrial commodities such as copper and oil will continue to underperform gold prices in the medium term (the next six months). Ayman Kawtharani, Editor/Strategist ayman@bcaresearch.com   Footnotes 1      Diesel consumption will also be impacted. While the latter is mostly consumed by the transportation sector in India, diesel does have some industrial applications as well. Equities Recommendations Currencies, Credit And Fixed-Income Recommendations