Technology

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

The Message From The Cloud The Message From The Cloud Overweight The S&P software index’s – dominated by MSFT – frenetic year-to-date run has lost steam lately, and pure play cloud stocks are sending an unambiguous negative signal. Worryingly, cloud stocks may be sniffing out a services slowdown. Put differently, cloud stocks may be anticipating that the manufacturing sector’s ills are infiltrating services. We have created the U.S. Equity Strategy Cloud Index, comprising five cloud stocks, and their recent drubbing warrants caution for the rest of the software complex (top panel). As a reminder, these stocks troughed in October last year, prior to the SPX and S&P software’s Christmas Eve bottom. Today, we are heeding the leading properties that cloud stocks appear to possess. Bottom Line: Stay overweight the heavyweight S&P software index but sustain the trialing stop at the 27% relative return mark since inception. The ticker symbols in the BCA USES Cloud Index and the S&P Software index are: VEEV, WDAY, NOW, TWLO, SPLK, and BLBG: S5SOFT – MSFT, ORCL, ADBE, CRM, INTU, ADSK, CDNS, SNPS, ANSS, SYMC, CTXS, FTNT, respectively.​​​​​​​

Highlights A recovery in Chinese auto sales is not imminent. Car sales will likely stage only a rate-of-change improvement, moving from deep to mild contraction or stagnation over the next three-to-six months. Low-speed electric vehicles are a cheap substitute for regular low-end cars. Their production requires fewer inputs and parts compared to cars. Hence, their rising penetration will be negative for economic activity at the margin. Auto ownership will continue to rise in China in the years to come. However, this does not necessitate rising car sales. In fact, auto ownership can increase with car sales contracting in each consecutive year. This scenario represents a major risk to auto stock prices. Feature Chart 1Chinese Auto Sales: An Extended Downturn Chinese Auto Sales: An Extended Downturn Chinese Auto Sales: An Extended Downturn Chinese automobile sales have been deep under water for 15 consecutive months. The magnitude of the contraction has been even worse than the one that occurred in 2008-‘09. Annualized sales1 have declined from a peak of nearly 30 million units in June 2018 to 26 million this September (Chart 1). To put this 4-million-unit decline into perspective, only about 5 million units of automobiles were produced in Germany last year. Given the already long and deep contraction, does this mean Chinese auto sales and production are about to stage an imminent recovery? Although a revival sometime next year is plausible, we are not positive in the near term. Car sales will stage a rate-of-change improvement only, moving from deep to mild contraction or stagnation (i.e. zero growth) the next three to six months (Chart 1, bottom panel). Gauging The Demand Outlook Chart 2Marginal Propensity To Spend Is Falling Marginal Propensity To Spend Is Falling Marginal Propensity To Spend Is Falling Reluctance to purchase a car and curtailed financing are the causes of the deep auto sales contraction in China. The factors that have weighed on consumers’ willingness to purchase cars remain intact. First, our indicator for household marginal propensity to spend continues to fall, indicating no immediate signs of a turnaround (Chart 2). Cyclically, decelerating economic activity is weighing on income expectations, prompting consumers to delay their discretionary spending. Besides, the growth rate of disposable income per capita is at the lower end of its historical range and is falling in real (inflation-adjusted) terms (Chart 3). In addition, Chinese households are more leveraged now than their U.S. counterparts (Chart 4). Their debt levels have reached over 120% of annual disposable income. Chart 3Real Disposable Income Growth Is Weakening Real Disposable Income Growth Is Weakening Real Disposable Income Growth Is Weakening Chart 4Chinese Households Are Increasingly Indebted Chinese Households Are Increasingly Indebted Chinese Households Are Increasingly Indebted   Meanwhile, the U.S.-China confrontation continues to foster uncertainty among consumers and businesses in the Middle Kingdom. Although some sort of agreement was reached last week, the future of longer-term U.S.-China relations remains highly uncertain. Hence, the potential “phase-one” trade agreement is unlikely to shift Chinese consumers’ and businesses’ overall cautious sentiment. These factors will continue to weigh on consumers’ purchasing behavior, especially on big-ticket items like automobiles. Reluctance to purchase a car and curtailed financing are the causes of the deep auto sales contraction in China. Second, Chinese auto financing penetration rate – measured as the proportion of autos bought using borrowed funds – has risen from 20% in 2014 to about 48%2 last year. This remains well below the 70%-plus penetration rate in major western countries (the U.S., Germany and France), but is not far from the 50% rate in Japan. The rapid increase in the use of auto financing has facilitated auto sales in China over the past several years. Financing for auto purchases has been provided by banks via loans and credit cards, dealer/manufacturer loans and peer-to-peer lending (P2P). While banks contribute about 40% of auto financing and auto dealers/manufacturers account for about 30%, the peer-to-peer platform has become the third major source of auto loans in recent years. Chart 5Limited Auto Financing From Peer-To-Peer Platforms Limited Auto Financing From Peer-To-Peer Platforms Limited Auto Financing From Peer-To-Peer Platforms However, since early last year, bankruptcies and closures of P2P platforms have significantly reduced available auto financing. P2P financing continues to shrink, further depressing loans for auto purchases (Chart 5). Third, there is an ongoing structural decline in consumers’ willingness to purchase cars due to greater traffic congestion, limited parking and improved public transportation. In addition, greater use of ride-sharing and car-sharing services, which the government is aiming to promote, will also continue to reduce the need to buy a car. Concerning government incentives for auto buyers, auto sales have failed to recover, so far this year, despite policy support and significant auto price cuts (Box 1). Although the government recently loosened some restrictive auto sales policies in certain cities,3 the scale was much smaller than what was done earlier this year. As in any market, production decisions are driven by sales, not inventories. Box 1 Policy Support And Auto Price Cut During January-September 2019 Since late January, Chinese authorities have released a set of pro-auto-consumption measures aimed at spurring auto sales. These measures include the approval of 100,000 new license plates in Guangzhou province and an additional 80,000 in Shenzhen. Since May, auto dealers in China have slashed prices of their Emission Standard 5 cars in order to liquidate inventories, as 15 provinces/provincial level cities have been implementing the new emissions standards since July 1, 2019 – one year earlier than the national implementation deadline. According to the law, vehicles that do not meet the new standard will not be allowed to be sold or registered once the new standard is implemented. Another pertinent question to address is whether inventories can be used to identify a bottom in this industry. This is difficult to gauge in China, as inventories at different stages of the supply chain are currently sending conflicting signals. Manufacturers’ inventories have dropped to low levels (Chart 6). Yet, dealers’ inventories remain elevated according to the newly released inventory data for September (Chart 7). Chart 6Auto Manufacturers Inventories Are Low... Auto Manufacturers Inventories Are Low... Auto Manufacturers Inventories Are Low... Chart 7...But Dealers Inventories Remain Elevated ...But Dealers Inventories Remain Elevated ...But Dealers Inventories Remain Elevated   Chart 8Auto Demand Drives Production Auto Demand Drives Production Auto Demand Drives Production As in any market, production decisions are driven by sales, not inventories. The chain reaction always starts from demand: rising sales lead to rising production. Producers do not typically ramp up output when sales are falling, even if inventories are low (Chart 8). Without a strong and durable rise in demand, manufacturers will not significantly increase their inventories. In short, low car inventories among manufacturers could lead to a short-term rise in output. A sustainable and lasting recovery in production, however, is contingent on a cyclical revival in auto sales. Bottom Line: A cyclical recovery in auto sales is not imminent in the next three-to-six months. A Threat From A Cheap Substitute In many small cities (from Tier 3 to Tier 6 cities), towns and villages where auto buyers are more sensitive to prices, consumers are opting to purchase low-speed electric vehicles (LSEVs) – a cheap substitute for regular autos. Last year, LSEV makers sold about 1.5 million units in China, accounting for about 6% of passenger vehicle sales for the year. In comparison, even with massive government subsidies, total new energy vehicle (NEV, mainly including pure electric vehicles and plug-in hybrids) sales only reached 1.2 million units in 2018, 20% lower than LSEV sales. In many small cities, towns and villages consumers are opting to purchase low-speed electric vehicles (LSEVs) – a cheap substitute for regular autos. LSEVs are small, short-range electric vehicles (three- or four-wheeled cars) with top driving speeds below 80km per hour and with a similar look to regular cars.4 They have much lower technical and safety standards: LSEVs are not considered automobiles by the country’s motor vehicle management system. Consequently, official auto production and sales data released by authorities do not include LSEV figures. Chart 9Significant Output Expansion In Low-Speed Electric Vehicles Significant Output Expansion In Low-Speed Electric Vehicles Significant Output Expansion In Low-Speed Electric Vehicles Technically, these vehicles are within some sort of grey area of Chinese regulations, but that has not stopped the industry's remarkable growth. Shandong province accounts for about 40% of the country’s LSEV output. The dramatic LSEV production expansion in the province gives a glimpse into the booming LSEV industry in China (Chart 9). Last year’s LSEV production drop was due to the government’s tightening of LSEV output policies and greater competition from small-size pure electric vehicles, which benefited from government subsidies. Both factors have diminished this year due to policy changes and the termination of subsidies for the small-size pure electric vehicle. Looking forward, consumers will continue purchasing LSEVs as a substitute for lower-end cars. They will have negative effect on low-end car sales, especially when household budgets tighten. Table 1 lays out the main differences between an LSEV and a lower-end passenger car. Clearly, the most attractive feature of an LSEV is its price, which can be as cheap as 10,000 RMB (less than US$2,000) with a big proportion of LSEVs ranging from 20,000 RMB to 30,000 RMB. In comparison, prices of lower-end passenger vehicles in general range from 50,000RMB to 80,000 RMB, more expensive than LSEVs. As nearly half of Chinese households already own an automobile, the potential of future auto sales clearly lies in lower-income households. However, the 2018 NBS household survey showed the annual household disposable income for the lowest 60% percentile rural households was lower than the low-end price of regular auto – 50,000 RMB (US$ 7,050) (Chart 10). In comparison, a much cheaper LSEV will be affordable for them. Given that they are inferior goods, LSEVs could become even more attractive at times of weak disposable income growth. In addition to cheap prices, Box 2 reveals other attractive features that will make LSEVs the most convenient and affordable form of transportation for many potential auto buyers. This will also help promote the popularity of the LSEVs in small cities and rural areas. Table 1The Comparison Between LSEVs And Lower-End Passenger Cars Chinese Auto Demand: Time For A Recovery? Chinese Auto Demand: Time For A Recovery? Chart 10Low-Speed Electric Vehicles: Affordable For Lower-Income Households Chinese Auto Demand: Time For A Recovery? Chinese Auto Demand: Time For A Recovery?   Further, this year’s regulatory changes are also favorable for the LSEV industry (Box 3). This marked a clear policy reversal from last year when the government executed a crackdown on LSEV production and issued a policy prohibiting new capacity of LSEVs. Box 2 The Non-Price Reasons For The Increasing Popularity Of The LSEVs The LSEV is more convenient as it is easy to drive and to park because of its small size. The drive range of 100 km per charge of the battery is sufficient for a person who only uses it to go to work or pick up the kids from school. It is particularly useful in small cities and rural areas where the public transportation network is poor. The speed of 40-60 km per hour is also fast enough to drive in small cities and rural area where there are not much road traffic and the roads are often designed for low driving speed. LSEVs also have the benefit of being able to charge from home electrical outlets, eliminating the need to use public charging/fueling infrastructure. Box 3 Policy On LSEV Industry: More Favorable In 2019 Than In 2018 In March, the Ministry of Industry and Information Technology announced that by 2021 the national standards of the “Technical Conditions of Four-Wheel Low-Speed Electric Vehicles” would be established. This will eventually bring the LSEV market under the government’s supervision while giving LSEV makers two years to improve their technology. This will help improve the quality and safety measures of LSEVs. In May and June, over 20 cities started to issue car plates for LSEVs and approved of the LSEVs right to be on the road. This signals that the government is aiming to regulate the LSEV sector in a positive way, rather than simply banning production. Bottom Line: Cheap LSEVs will be a low-cost substitute for regular low-end cars. Their production requires fewer inputs and parts compared to cars. Hence, their rising penetration will be negative for economic activity at the margin. What About NEV Demand? New Electric Vehicle (NEV) sales were a bright spot among all categories of auto sales in China last year, with year-on-year growth of 62%. However, NEV sales growth has decelerated considerably this year as the government began cutting subsidies (Chart 11). NEV sales will remain under pressure. Table 2 shows the timeline of China’s NEV subsidy exit plan, which was released in late March. The subsidy is set to be phased out by 2021. Chart 11New Electric Vehicle Sales Growth Will Slow But Remain Positive New Electric Vehicle Sales Growth Will Slow But Remain Positive New Electric Vehicle Sales Growth Will Slow But Remain Positive Table 2The China’s New Electric Vehicle Subsidy Exit Plan Chinese Auto Demand: Time For A Recovery? Chinese Auto Demand: Time For A Recovery?   In comparison to last year, there will be no subsidy at all for pure electric vehicles (PEVs) with recharge mileage of 250 kilometers and lower. This will make it more difficult for mini-PEVs to compete with LSEVs with respect to price. For PEVs with recharge mileage of 250 kilometers and above, the subsidy has also been cut significantly. However, we still expect NEV demand growth to remain positive. The government will continue to maintain zero sales tax on NEVs until the end of 2020. This gives it a major advantage over non-NEV vehicles, which carry the 10% sales tax. In addition, NEVs are exempt from license restrictions on car sales and time or area restrictions on on-road autos, in cities where such policies apply. This is an attractive privilege for car buyers to consider. Current NEVs that can achieve recharge mileage of 300-450 kilometers, sell at a price of RMB 100,000 to RMB 150,000 per unit. They are both affordable and appealing for upper-middle-income and high-income urban households who prefer either green options or energy cost savings. The recharge mileage is sufficient for most daily use, and prices are in line with prices of traditional gasoline or diesel cars. If and as auto sales fail to stage a notable recovery in the next several months, Chinese auto stock  prices will likely break down. Bottom Line: With the gradual phasing out of subsidies, the period of exponential NEV sales growth is over. Nevertheless, NEV demand growth will likely remain positive. Investment Implications Chart 12Chinese Auto Stock Prices Could Break Down Chinese Auto Stock Prices Could Break Down Chinese Auto Stock Prices Could Break Down There are three pertinent investment implications to consider. First, Chinese auto stock prices in the domestic A-share market have dropped by 60% from their 2017 highs, and have lately been moving sideways (Chart 12). Notably, these listed automakers’ per-share earnings have plunged, and the companies have cut dividends by more than the drop in their share prices (Chart 13). As a result, their trailing P/E ratio has risen and the dividend yield has dropped (Chart 14). This implies that investors are looking through the current sales contraction and expecting an imminent recovery. Chart 13A Major Contraction In Corporate Earnings And Dividends A Major Contraction In Corporate Earnings And Dividends A Major Contraction In Corporate Earnings And Dividends Chart 14Rising Trailing P/E And Falling Dividend Yield Rising Trailing P/E And Falling Dividend Yield Rising Trailing P/E And Falling Dividend Yield   If and as auto sales fail to stage a notable recovery in the next several months, these share prices will likely break down. Second, petroleum demand growth from the transportation sector will be decelerating in China over the coming years. Rising NEV sales as a share of total auto sales, substituting autos for LSEVs and a slower pace of growth in the number of vehicles on roads imply diminishing demand for gasoline in the coming years (Chart 15). Today BCA’s Emerging Markets Strategy service is also publishing a Special Report discussing India’s demand for oil. The report argues for slowing growth in Indian oil demand. Combined, China and India make up 19% of the world’s oil consumption (slightly lower than the 21% accounted for by the U.S.), and weaker demand growth in these economies is negative for oil prices. Third, investors should differentiate between a long-term economic view and investment strategy. We do not disagree with the economic viewpoint that auto ownership will rise in China in the years to come. But this will happen even if auto sales decline on an annual basis over the next 10 years. Chart 16 illustrates this point: if annual auto sales drop by 2% during each consecutive year over the next decade, and the scrap rate is around 3%, car ownership, defined as the share of households owning one car, will continue to rise from the current 50% level, reaching 80% by 2030. Chart 15Falling Growth In Existing Vehicles Entails Slower Growth In Gasoline Demand Falling Growth In Existing Vehicles Entails Slower Growth In Gasoline Demand Falling Growth In Existing Vehicles Entails Slower Growth In Gasoline Demand Chart 16Stimulation: Car Ownership Can Rise With Shrinking Auto Sales Stimulation: Car Ownership Can Rise With Shrinking Auto Sales Stimulation: Car Ownership Can Rise With Shrinking Auto Sales   Nevertheless, such a scenario – a 2% annual drop in car sales in each consecutive year over the next decade - is bearish for automakers’ share prices. Any stock price is very sensitive to long-term growth expectations for corporate earnings.5 A 2% recurring annual drop in car sales will be disastrous for auto stock valuations. This is a case when the long-term economic view on rising prosperity and car ownership in China stands in contrast with a negative investment outcome for the auto sector and its shareholders. Ellen JingYuan He, Associate Vice President ellenj@bcaresearch.com   Footnotes 1      Sales of total automobiles, including passenger vehicles and commercial vehicles. 2      From Chinese Banking Association Report on June 18, 2019. https://www.china-cba.net/Index/show/catid/14/id/26688.html 3      Guangzhou further added 10,000 car plates open to the public while Guiyang eliminated cap on new-vehicle sales. 4      https://www.wsj.com/video/big-in-china-tiny-electric-cars/CF7E986A-7C70-4EE3-8F7B-441621F10C94.html 5      The reason is that both interest rates and earnings long-term growth rate are present in the denominator of any cash flow discount model (Stock Price = Expected Dividends / (Interest rate – Earnings long-term growth rate)). Hence, they have the potential to affect share prices exponentially while dividends/profits are present in the numerator so their impact on equity prices is linear.

Highlights New structural recommendation: long GBP/USD. The substantial Brexit discount in the pound makes it a long-term buy for investors who can tolerate near-term volatility. The most powerful equity play on a fading Brexit discount would be the U.K. homebuilders. Specifically, Persimmon still has a further 25 percent of upside. Take profits in long Euro Stoxx 50 versus Shanghai Composite. Within Europe, close the overweight to Switzerland and the underweight to the Netherlands. Stay overweight banks versus industrials. Stay overweight the Euro Stoxx 50 versus the Nikkei 225. Fractal trade: long NZD/JPY. Feature Chart of the WeekThe Pound Has Substantial Upside If The Brexit Discount Fades The Pound Has Substantial Upside If The Brexit Discount Fades The Pound Has Substantial Upside If The Brexit Discount Fades Carnival Says The Pound Is Cheap Carnival, the world’s largest cruise liner company, lists its shares on both the London and New York stock exchanges. But there is an apparent riddle: in London the shares trade on a forward PE of 8.8, while in New York they trade on 9.4. How can Carnival trade at different valuations on the two sides of the Atlantic when the market should instantly arbitrage the difference away? The answer to the riddle is that the London listing is quoted in pounds, the New York listing is quoted in dollars, while Carnival’s sales and profits are denominated in a mix of international currencies. Neither Brexit developments nor a potential Jeremy Corbyn led government will prevent the pound from rallying in the longer term.  Carnival is trading on a higher valuation in New York versus London because the market is expecting its mixed currency earnings to appreciate more in dollar terms than in pound terms. Put another way, the valuation differential is expecting the pound to appreciate versus the dollar to a ‘fair value’ of around $1.40 (Chart I-2). Likewise, BHP Billiton shares are trading on a higher valuation in their Sydney listing compared to their London listing. This valuation differential is expecting the pound to appreciate versus the Australian dollar to around A$2.00 (Chart I-3). Chart I-2Carnival Says The Pound Is Cheap Carnival Says The Pound Is Cheap Carnival Says The Pound Is Cheap Chart I-3BHP Billiton Says The Pound Is Cheap BHP Billiton Says The Pound Is Cheap BHP Billiton Says The Pound Is Cheap In other words, the market believes that neither Brexit developments nor a potential Jeremy Corbyn led government will prevent the pound from rallying in the longer term. We tend to agree. The Wrong Way To Pick Stock Markets… And The Right Way Before continuing with the pound’s prospects, let’s wander into the wider investment landscape. One important lesson from dual-listed companies like Carnival and BHP Billiton is that a multinational’s valuation will appear attractive in a market where the currency is structurally cheap.1 This lesson has deep ramifications. Today, multinationals dominate all the major stock markets, meaning that the entire stock market will appear cheap if its currency is cheap. The stock market will also appear cheap if it is skewed towards lower-valued sectors. But sectors trade on a low valuation for a reason – poor long-term growth prospects. Through the past decade, Japanese banks seemed a relative bargain, trading on a forward PE of less than half of that on personal products companies (Chart I-4). Yet Japanese banks were not a relative bargain. Quite the contrary. Through the past decade Japanese personal products have outperformed the banks by 500 percent! (Chart I-5) Chart I-4Japanese Banks Seemed A Relative Bargain... Japanese Banks Seemed A Relative Bargain... Japanese Banks Seemed A Relative Bargain... Chart I-5...But Japanese Banks Were Not A Relative Bargain ...But Japanese Banks Were Not A Relative Bargain ...But Japanese Banks Were Not A Relative Bargain Hence, beware of picking stock markets on the basis of observations such as ‘European stocks are cheaper than U.S. stocks’. Given that a stock market valuation is the result of its currency valuation and its sector composition, assessing relative value across major stock markets is extremely difficult, if not impossible. To repeat, Carnival appears to be trading at a valuation discount in London versus New York, but the cheapness is illusory. Here’s the right way to pick major stock markets. Identify your preferred sectors and currencies, and then pick the regional and country stock markets that are skewed to these preferred sectors and currencies. In this regard, large underweight sector skews also matter. For example, China and EM have a near-zero exposure to healthcare equities, so their performances tend to correlate negatively with that of the global healthcare sector – albeit the causality could run in either direction. Identify your preferred sectors and currencies, and then pick the regional and country stock markets that are skewed to these preferred sectors and currencies. In early May, we noticed that the extreme outperformance of technology versus healthcare was at a critical technical point at which there was a high probability of a trend reversal. This high conviction sector view implied overweight Europe versus China, as well as overweight Switzerland and underweight Netherlands within Europe (Chart I-6 and Chart I-7). Chart I-6When Tech Underperforms Healthcare, China Underperforms Switzerland When Tech Underperforms Healthcare, China Underperforms Switzerland When Tech Underperforms Healthcare, China Underperforms Switzerland Chart I-7When Tech Underperforms Healthcare, The Netherlands Underperforms Switzerland When Tech Underperforms Healthcare, The Netherlands Underperforms Switzerland When Tech Underperforms Healthcare, The Netherlands Underperforms Switzerland   Given that this sector trend reversal has played out exactly as anticipated, it is time to bank the profits:   Close long Euro Stoxx 50 versus Shanghai Composite. And within Europe, close the overweight to Switzerland and the underweight to the Netherlands. Right now, it is appropriate to overweight banks versus industrials. It is the pace of the bond yield’s decline that has weighed on bank performance this year. But if the sharpest decline in bond yields is behind us, as seems likely, then banks should fare better versus other cyclicals (Chart I-8). Chart I-8If The Sharpest Decline In Bond Yields Is Over, Banks Will Outperform Industrials If The Sharpest Decline In Bond Yields Is Over, Banks Will Outperform Industrials If The Sharpest Decline In Bond Yields Is Over, Banks Will Outperform Industrials Once again, this sector view carries an equity market implication: stay overweight the Euro Stoxx 50 versus the Nikkei 225 (Chart I-9). Chart I-9Euro Stoxx 50 Vs. Nikkei 225 = Global Banks In Euros Vs. Global Industrials In Yen Euro Stoxx 50 Vs. Nikkei 225 = Global Banks In Euros Vs. Global Industrials In Yen Euro Stoxx 50 Vs. Nikkei 225 = Global Banks In Euros Vs. Global Industrials In Yen The Pound Is A Long-Term Buy Back to the pound. The message from the dual listings of Carnival and BHP Billiton is that the pound is cheap, and this is neatly corroborated by the relationship between relative interest rates and the pound versus the euro and dollar. Based on the pre-Brexit relationship between relative real interest rates and the pound’s exchange rate, we can quantify the ‘Brexit discount’. Absent this discount, the pound would now be trading close to €1.30 and well north of $1.40 (Chart of the Week and Chart I-10). Chart I-10The Pound Has Substantial Upside If The Brexit Discount Fades The Pound Has Substantial Upside If The Brexit Discount Fades The Pound Has Substantial Upside If The Brexit Discount Fades In the Brexit psychodrama, we do not claim to know exactly how the next few days or weeks will play out. In the short term, Brexit is a classic non-linear system, and non-linear systems are inherently unpredictable. However, in the longer term we expect the Brexit discount to fade in any sort of transitioned resolution that allows the U.K. to adapt to a new trading relationship with the world, or alternatively to stay in a relationship broadly similar to the current one. Whatever the eventual endpoint is, the key requirement to remove the Brexit discount is to avoid a cliff-edge. We expect the Brexit discount to fade in any sort of transitioned resolution. The stumbling block to a resolution is that the three key actors – the EU, the U.K. government, and the U.K. parliament – have conflicting red lines, so the Brexit ‘Venn diagram’ has had no overlap. The EU will not countenance a customs border that divides Ireland; the current U.K. government wants a Free Trade Agreement, which implies casting away Northern Ireland into the EU customs union; and the current U.K. parliament – unless its intentions suddenly change – wants the whole of the U.K., including Northern Ireland, to remain in the EU customs union.   Given that the EU will not budge its red line, the only way to a lasting resolution is for the government and parliament red lines to realign, This could happen via parliament being willing to sacrifice Northern Ireland, via a second referendum, or via a general election in which the government’s intentions and/or the composition of parliament changed. Given a long enough investment horizon – 2 years or more – it is likely that the government and parliament will realign their red lines to a Free Trade Agreement or to a customs union, one way or another. On this basis, the substantial Brexit discount in the pound makes it a long-term buy for investors who can tolerate near-term volatility. Accordingly, today we are initiating a new structural recommendation: long GBP/USD.  For equity investors, the most powerful play on a fading Brexit discount would be the U.K. homebuilders (Chart I-11). Specifically, if the pound reached $1.40, Persimmon still has a further 25 percent of upside. Chart I-11U.K. Homebuilders Have Substantial Upside If The Brexit Discount Fades U.K. Homebuilders Have Substantial Upside If The Brexit Discount Fades U.K. Homebuilders Have Substantial Upside If The Brexit Discount Fades Fractal Trading System*  Based on its collapsed fractal structure, we anticipate a countertrend rally in NZD/JPY within the next 130 days. Accordingly, go long NZD/JPY setting a profit target of 3 percent and a symmetrical stop-loss. Chart I-12 NZD VS. JPY NZD VS. JPY For any investment, excessive trend following and groupthink can reach a natural point of instability, at which point the established trend is highly likely to break down with or without an external catalyst. An early warning sign is the investment’s fractal dimension approaching its natural lower bound. Encouragingly, this trigger has consistently identified countertrend moves of various magnitudes across all asset classes. The post-June 9, 2016 fractal trading model rules are: When the fractal dimension approaches the lower limit after an investment has been in an established trend it is a potential trigger for a liquidity-triggered trend reversal. Therefore, open a countertrend position. The profit target is a one-third reversal of the preceding 13-week move. Apply a symmetrical stop-loss. Close the position at the profit target or stop-loss. Otherwise close the position after 13 weeks. Use the position size multiple to control risk. The position size will be smaller for more risky positions.   * For more details please see the European Investment Strategy Special Report “Fractals, Liquidity & A Trading Model,” dated December 11, 2014, available at eis.bcaresearch.com. Dhaval Joshi, Chief European Investment Strategist dhaval@bcaresearch.com Footnotes 1 There are also several companies with dual listings in the U.K. and the euro area. Unfortunately, these valuation differentials have been temporarily distorted by the risk of a no-deal Brexit, in which EU27 investors may have been forbidden from trading in the U.K. listed shares. Fractal Trading System Cyclical Recommendations Structural Recommendations Fractal Trades The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) The Pound Is A Long-Term Buy (And So Are Homebuilders) Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields Indicators To Watch - Bond Yields   Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations Indicators To Watch - Interest Rate Expectations  

Trade War-Hedged Pair Trade: Higher Octane Pair (Part II) Trade War-Hedged Pair Trade: Higher Octane Pair (Part II) A more speculative and higher octane vehicle to explore the trade war-related mispricing from Part I of this Insight is via a long S&P machinery/short S&P semiconductors pair trade. Most of the drivers mentioned in Part I also hold true in this subsector market-neutral trade, but we have to introduce another key driver: China. Encouragingly, China’s fiscal and credit impulse signals that a bottom in relative share prices is likely already in place. If this leading indicator proves accurate in the coming months, then relative share prices can spike 20%, near the late-2018 highs (top panel). Moreover, Chinese money supply growth is showing some signs of life and capital committed to infrastructure spending is coming out of hibernation (second & bottom panels). Goldman Sachs’ China current activity indicator is on a similar upward trajectory, underscoring that the path of least resistance is higher for relative share prices (third panel). Bottom Line: We have initiated a long S&P industrials/short S&P tech pair trade and a long S&P machinery/short S&P semiconductors pair trade in yesterday’s Weekly Report. ​​​​​​​

Trade War-Hedged Pair Trade (Part I) Trade War-Hedged Pair Trade (Part I) In this Monday’s Weekly Report we initiated a new long/short trade idea that will generate alpha regardless of the pair trade war outcome: long industrials/short tech. If the U.S. and China manage to iron out their differences and strike a deal, industrials should benefit from a greater catch-up phase because they have been depressed over the past two years, while tech stocks are near relative all-time highs. In contrast, a “no deal” scenario, should also re-concentrate investors’ minds and lead to relative selling in tech stocks versus their already beaten-down deep cyclical peers: industrials. Three key macro forces will be driving the rebound in the price ratio. First, were the deal to get struck, growth expectations will pick up pushing rates higher, which are a boon for industrials and a bane for high P/E tech stocks (top panel). Second, we expect the ISM manufacturing survey to outshine the San Francisco Fed’s Tech Pulse Index (middle panel). Finally, relative capital expenditure outlays should also veer in favor of industrials as previously mothballed infrastructure projects will come out of hibernation (bottom panel). On the other hand, should a “no-deal” scenario occur, we doubt that these three macro forces that we identified would sink further (please see the next Insight). ​​​​​​​

Highlights Portfolio Strategy The trade-weighted U.S. dollar’s appreciation along with the still souring manufacturing data are weighing on SPX profit growth, at a time when heightened geopolitical uncertainty and a looming reversal in financial conditions has the potential to wreak havoc on stock prices. Stay cautious on the prospects of the broad equity market on a cyclical 9-12 month time horizon. Firming operating metrics, the resilient U.S. dollar, compelling valuations and depressed technicals, all signal that there is an exploitable tactical trading opportunity in a long S&P industrials/short S&P tech pair trade, irrespective of the trade war outcome. A tentative tick up in EM and China data along with improving relative operating metrics signal that the time is ripe to initiate a long machinery/short semis pair trade. Recent Changes Initiate a long S&P Industrials/short S&P Tech pair trade on a tactical three-to-six month time horizon, today. Initiate a long S&P Machinery/short S&P Semiconductors pair trade on a tactical three-to-six month time horizon, today. Follow The Profit Trail Follow The Profit Trail Feature The S&P 500 oscillated violently again last week, as the barrage of declining economic data, heightened trade war-related volatility and political upheaval dominated the news flow. While the Fed remains the backstop of last resort, we doubt additional interest rate cuts, which are already aggressively priced in the bond market, will boost lending and entice CEOs to invest in capital expenditure projects. Investors have to stay patient and disciplined, let this economic slowdown play out and allow for the natural healing of the economy. As a reminder, the ISM manufacturing index has been decelerating for twelve months and only been below the boom bust line for two. If history is an accurate guide, an additional three-to-six months of manufacturing pain are in store before a definitive bottom is in place (bottom panel, Chart 1). Such a macro backdrop, still warrants caution on the prospects of the broad equity market. Chart 1Allow Time For Economic Healing Allow Time For Economic Healing Allow Time For Economic Healing Beginning in August, a number of BCA publications became a tad more cautious on risk assets. Following our October editorial view meeting last week, this cautiousness was cemented with a tactical downgrade of global equities to neutral from previously overweight in the BCA House View matrix. While this marks a clear shift toward this publication’s less sanguine view of the U.S. equity market adopted during the summer, BCA's cyclical 12-month House View remains overweight global equities. Worryingly, the majority of the indicators we track continue to emit distress signals and warn that the SPX has further downside (Chart 2), especially absent profit growth. Importantly, we first correctly posited last May that the back half of the year global growth reacceleration was in jeopardy and would go on hiatus courtesy of rising policy uncertainty.1 Such a backdrop would boost the U.S. dollar and simultaneously take a bite out of SPX EPS.2 Chart 2Soft Data Red Flag Soft Data Red Flag Soft Data Red Flag Last week we highlighted that the U.S. dollar is the most important indicator to monitor given its global deflationary/reflationary properties. Were the greenback to maintain its year-to-date gains, it will continue to dent SPX profitability via P&L translation loss effects and likely sustain the profit recession into early 2020 (trade-weighted U.S. dollar shown inverted, bottom panel, Chart 3). Chart 3Greenback Weighing On Profits Greenback Weighing On Profits Greenback Weighing On Profits U.S. Equity Strategy’s S&P 500 four-factor macro EPS growth model remains downbeat (middle panel, Chart 4). Were we to isolate the U.S. dollar as a single variable and re-run the regression it is clear that additional greenback appreciation will further weigh on SPX profit growth (bottom panel, Chart 4). Meanwhile, the easing in financial conditions and drubbing of the 10-year Treasury yield since the Christmas Eve lows is already reflected in the 23% jump in the forward PE multiple, which explains over 90% of the SPX’s rise since the Dec 24, 2018 trough (top & middle panels, Chart 5). In other words, for multiples to expand anew, financial conditions would have to further ease, which in our view is a tall order (bottom panel, Chart 5). Chart 4EPS Model Warrants Caution EPS Model Warrants Caution EPS Model Warrants Caution Chart 5Financial Conditions Are The Forward P/E Financial Conditions Are The Forward P/E Financial Conditions Are The Forward P/E This week we are initiating two related pair trades to exploit the mispricing of the trade war within the deep cyclical sector universe.  Thus, we would lean against the narrative that easy financial conditions are not fully reflected into stocks. In contrast, our worry is that junk spreads are on the verge of a breakout and such a backdrop would tighten financial conditions and aggravate an SPX drawdown (junk OAS shown inverted, Chart 6). Adding it all up, the trade-weighted U.S. dollar’s appreciation along with the still souring manufacturing data are weighing on SPX profit growth, at a time when heightened geopolitical uncertainty and a looming reversal in financial conditions has the potential to wreak havoc on stock prices. Stay cautious on the prospects of the broad equity market on a cyclical 9-12 month time horizon. This week we are initiating two related pair trades to exploit the mispricing of the trade war within the deep cyclical sector universe. Chart 6Watch Junk Spreads Watch Junk Spreads Watch Junk Spreads Initiate A Long Industrials/Short Tech Pair Trade… Ever since the Sino-American trade war started in March 2018, the market has punished industrials, but tech has escaped unscathed. While the global growth soft patch preceded the U.S./China trade spat, courtesy of the Fed’s tightening cycle and Chinese policymakers’ slamming on the brakes, the trade war has served as a catalyst to aggressively shed deep cyclical equities except for tech stocks (Chart 7). We think this misalignment presents a playable opportunity to generate alpha by going long industrials/short tech, irrespective of the trade war’s outcome. In other words, this market neutral trade will be in the black either because the trade spat gets resolved or because there will effectively be no “real” deal including intellectual property and the tech sector. If the two sides manage to iron out their differences and strike a deal, industrials stocks should benefit from a greater catch-up phase because they have been depressed over the past two years, while tech stocks are near relative all-time highs. In contrast, a “no deal” scenario, should also re-concentrate investors’ minds and lead to a relative selling in tech stocks versus their already beaten-down deep cyclical peers: industrials. Chart 7Bifurcated Deep Cyclicals Market Bifurcated Deep Cyclicals Market Bifurcated Deep Cyclicals Market Chart 8Lots Of Bad Trade War News Reflected In Prices Lots Of Bad Trade War News Reflected In Prices Lots Of Bad Trade War News Reflected In Prices Chart 8 shows the drubbing in relative share prices as three key macro drivers have felt the trade war’s wrath. In more detail, were a deal to get struck, growth expectations will reverse course and a bond market sell-off will almost immediately reflect such an improvement in the global macro backdrop. Rising interest rates on the back of a reflationary/inflationary impulse are a boon for industrials and a bane for high growth tech stocks (top panel, Chart 8). Similarly, the middle panel of Chart 8 highlights that the ISM manufacturing survey should climb above the boom/bust line and outshine the San Francisco Fed’s Tech Pulse Index (that comprises “coincident indicators of activity in the U.S. information technology sector”3) on news of a successful deal. Finally, relative capital expenditure outlays should also veer in favor of industrials as previously mothballed infrastructure projects will come out of hibernation (bottom panel, Chart 8). In contrast, tech capex has been resilient of late with analytics, security and cloud computing being the most defensive capex corner, leaving little room for additional relative capex gains. Taking the opposite side i.e. a “no deal”, we doubt the metrics we depict in Chart 8 would sink that much further. If anything we believe that there is an element of exhaustion and relative share prices would jump on news of a breakdown in trade talks as tech sector fire sales would trump the sell-off in already depressed industrials. Meanwhile, the U.S. dollar and relative share prices have been steeply diverging recently and this gap will likely narrow via a catch-up phase in the latter (top & middle panels, Chart 9). According to Factset’s latest data the S&P industrials sector garners 37% of its sales from abroad, whereas the S&P information technology sector’s foreign exposure stands at 57% of total revenues.4 Therefore, given this 20% delta, a rising greenback should be beneficial to the more domestically geared industrials stocks (bottom panel, Chart 9). On the operating front, industrials also have the upper hand. The relative wage bill is sinking like a stone (shown inverted, middle panel, Chart 10) at a time when relative selling price inflation is holding its own (top panel, Chart 10). The upshot is that a relative profit margin jump is in store in the coming months which should boost the relative share price ratio (bottom panel, Chart 10). Chart 9Unsustainable Divergence Unsustainable Divergence Unsustainable Divergence Chart 10Industrials Have The Upper Hand Industrials Have The Upper Hand Industrials Have The Upper Hand U.S. Equity Strategy’s proprietary relative Cyclical Macro Indicators and relative profit growth models capture all these drivers and both signal that an industrials versus tech earnings-led outperformance phase looms into year end (Chart 11). Chart 12 shows that the relative earnings breadth and relative net earnings revisions are both deep in negative territory. In terms of technicals, the relative percentage of groups trading with a positive 52-week rate of change has hit the lowest level in the past two decades (second panel, Chart 12) and our composite relative technical indicator is roughly one standard deviation below the historical mean (bottom panel, Chart 11). Chart 11Profit Models And...  Profit Models And...  Profit Models And...  Chart 12...Washed Out Breadth Say Buy Industrials At The Expense Of Tech ...Washed Out Breadth Say Buy Industrials At The Expense Of Tech ...Washed Out Breadth Say Buy Industrials At The Expense Of Tech Finally, relative valuations are also bombed out. Our relative valuation indicator has been in a six-year uninterrupted drop, falling from two standard deviations above the mean to one standard deviation below the mean (fourth panel, Chart 11). Such entrenched bearishness in relative value is unwarranted. Bottom Line:  Firming operating metrics, the resilient U.S. dollar, compelling valuations and depressed technicals, all signal that there is an exploitable tactical trading opportunity in a long S&P industrials/short S&P tech pair trade, irrespective of the trade war outcome. …And A Long Machinery/Short Semis Pair Trade A more speculative and higher octane vehicle to explore this trade war-related mispricing is via a long S&P machinery/short S&P semiconductors pair trade. Most of the drivers mentioned above also hold true in this subsector market-neutral trade. However, in this section we will drill deeper in the China/EM drivers. The Emerging Asia leading economic indicator (EALEI) has plummeted to levels last hit around the 1998 LTCM bailout (top panel, Chart 13). While more pain is likely in the coming months as global trade has ground to a halt, we doubt the carnage in the EALEI can continue indefinitely. In fact, a tentative trough in the Emerging Markets (EM) manufacturing PMI heralds a brighter outlook for relative share prices (bottom panel, Chart 13). Chart 13Same Trade War Theme, Different Vehicles To Play It Same Trade War Theme, Different Vehicles To Play It Same Trade War Theme, Different Vehicles To Play It Chart 14China...  China...  China...  Encouragingly, China’s fiscal and credit impulse also signals that a bottom in relative share prices is likely already in place. If this leading indicator proves accurate in the coming months, then relative share prices can spike 20% near the late-2018 highs (Chart 14).   Chinese money supply growth is showing some signs of life and capital committed to infrastructure spending is coming out of hibernation. Goldman Sachs’ China current activity indicator is on a similar upward trajectory, underscoring that the path of least resistance is higher for relative share prices (Chart 15). Chart 15...Holds The Key ...Holds The Key ...Holds The Key Chart 16Firming Final Demand... Firming Final Demand... Firming Final Demand... On the operating front, relative new orders and relative shipment growth have both ticked higher (top & middle panels, Chart 16). Importantly, our relative demand proxy suggests that the relative end-demand backdrop is also firming. Using Caterpillar’s global sales to dealers data compared with global chip sales reveals that a wide gap has formed between relative share prices and our relative demand gauge (bottom panel, Chart 16). If our thesis pans out in the upcoming three-to-six months then machinery will trounce semis. Finally, relative pricing power corroborates that machinery demand has the upper hand versus semiconductor final demand. The Commodity Research Bureau’s raw industrials index is climbing relative to Asian DRAM prices. The upshot is that the compellingly valued relative share price ratio will gain steam in the months ahead (Chart 17). In sum, a tentative up-tick in EM and China data along with improving relative operating metrics signal that the time is ripe to initiate a long machinery/short semis pair trade. Bottom Line: Initiate a long S&P machinery/short S&P semiconductors pair trade today. The ticker symbols for the stocks in the S&P machinery and S&P semis indexes are: BLBG – S5MACH – CAT, DE, ITW, IR, CMI, PCAR, PH, SWK, FTV, DOV, XYL, IEX, WAB, SNA, PNR, FLS, and BLBG – S5SECO – INTC, TXN, NVDA, AVGO, QCOM, MU, ADI, AMD, XLNX, QRVO, MCHP, MXIM, SWKS, respectively. Chart 17...Is A Boon To Relative Pricing Power ...Is A Boon To Relative Pricing Power ...Is A Boon To Relative Pricing Power Key Risk To Monitor One important risk to both of our newly recommended market-neutral trades is China. We recently touched base with our ex-Chief Geopolitical Strategist and currently Chief Strategist at the Clocktower Group, Marko Papic. He warned us that all bets would be off because: “I think we will look back at the recession of 2020 and it will be known as the “China recession”. Basically, China just decided to stop playing, pick up its toys, and go home”. If Marko’s wise words were to ring true, then such a Chinese policy shift will truly be a game changer with negative global economic growth implications. With regard to our pair trades, they would both be offside.   Anastasios Avgeriou, U.S. Equity Strategist anastasios@bcaresearch.com   Footnotes 1      Please see BCA U.S. Equity Strategy Weekly Report, “Consolidation” dated May 21, 2019, available at uses.bcaresearch.com. 2      Please see BCA U.S. Equity Strategy Weekly Report, “On Edge” dated May 13, 2019, available at uses.bcaresearch.com. 3      https://www.frbsf.org/economic-research/indicators-data/tech-pulse/ 4      https://www.factset.com/hubfs/Resources%20Section/Research%20Desk/Earnings%20Insight/EarningsInsight_100419A.pdf Current Recommendations Current Trades Size And Style Views Stay neutral cyclicals over defensives   (downgrade alert) Favor value over growth Favor large over small caps (Stop 10%)