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特別レポヌト Highlights Building on a previous special report focused on the investable market, in this report we construct and present models designed to predict the odds of Chinese domestic equity sector outperformance. BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. Episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) than has been the case for the investable market, suggesting that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. Among the predictors included in our model, our Li Keqiang leading indicator (based on monetary conditions, money, and credit growth) has been the most important. Our base case view argues in favor of domestic cyclicals over defensives over the coming year, but recent sector performance suggests that domestic consumer discretionary and tech should be favored within a cyclical equity portfolio over energy, materials, and industrials barring a surge in oil prices or a capitulation by Chinese policymakers in favor of “flood irrigation-style” stimulus. Over the long-term, we argue that investors have a good reason to favor domestic defensives over cyclicals until the latter demonstrates meaningfully better earnings performance. Feature We examined China’s investable equity sector performance in detail in our October 30 Special Report,1 with a particular emphasis on understanding the specific macroeconomic or equity market factors that have historically predicted relative sector performance. In today’s report, we extend our approach to China’s A-share market. Our research focused on constructing and presenting models that quantify a checklist-based approach to determining the odds of equity sector performance. The aim is to use these models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use them as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We find that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) that has been the case for the investable market, suggesting that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. Among the macroeconomic and equity market factors that we found to be important predictors, our Li Keqiang leading indicator was the most significant. This confirms that China’s domestic market is more sensitive to monetary conditions, money, and credit growth than its investable peer. We also note the sharp difference in the relative performance of cyclicals versus defensives in the domestic market compared with the investable market, and what this means for investors over the coming 6-12 months. Finally, we argue that investors should maintain a structural bias towards defensive stocks in the domestic market until cyclicals demonstrate meaningfully better earnings performance, and point to an existing position in our trade book for investors interested in strategically allocating to the A-share market. Detailing Our Approach In our effort to better understand historical periods of domestic sector performance, we have chosen to model the probability of outperformance of each level 1 GICS sector (plus banks) based on a set of macro and equity market variables. Specifically, we use an analytical tool called a logistic regression, which forecasts the probability of a discrete event rather than forecasting the value of a dependent variable. We utilized this approach when building our earnings recession model for China (first presented in our January 16 Special Report).2 The “events” that we modeled are historical periods of individual Chinese investable sector outperformance from 2010 to 2018, relative to the MSCI China index (the “broad market”). We find that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) than has been the case for the investable market. Chart I-1A and Chart I-1B illustrate these periods with shading in each panel. We then attempt to explain these episodes of outperformance with the following macro predictors: Chart I-1AThis Report Builds Models ##br##Aimed At... Chart I-1B...Predicting The Shaded Regions Of These Charts Periods of accelerating economic activity, represented by our BCA's China Activity Index Periods of rising leading indicators of economic activity, represented by our BCA Li Keqiang (LKI) Leading Indicator Episodes of tight monetary policy, defined as periods where China’s 3-month interbank repo rate is rising Periods of accelerating inflation, measured both by headline and core inflation We also include several equity market variables: uptrends in relative sector earnings, periods of rising broad market stock prices, uptrends in broad market earnings, and episodes of extreme technical conditions and relative over/undervaluation for the sector in question. In the case of energy stocks, we also include oil prices as a predictor. Chart I-2A and Chart I-2B illustrate these periods as well as the macro & market variables that we have included as predictors. Chart I-2AWe Use These Macroeconomic And Equity Market Factors... Chart I-2B...To Predict Periods Of Equity Sector Outperformance Our approach also accounts for the existence of any leading or lagging relationships between the macro and market variables we have used as predictors and sector relative performance. In most cases the predictors lead relative sector performance, but in some cases it is the opposite. In the case of the latter, we have limited the lead of any variable in our models to three months in order to reduce the need to forecast. Finally, our approach also limits the extent to which we consider a leading relationship between our predictors and relative sector performance, in order to avoid picking up overlapping economic cycles. This issue, and the evidence supporting the existence of a 3œ-year credit cycle in China, is detailed in Box I-1 of our October 30 Special Report (please see footnote 1). Key Drivers Of Sector Performance: Domestic Versus Investable Pages 11-22 present the results of each sector’s outperformance probability model, along with a list of factors that were found to be useful predictors and a summary of the results. The importance of the factors included in the models is shown in each of the tables at the top right of pages 11-22 by a score of 1-3 stars, (loosely representing key levels of statistical significance) as well as each factor’s optimal lead or lag. A minus sign shows that the predictor leads sector relative performance, whereas a plus sign shows that it lags. Following a review of our domestic equity sector outperformance models, differences in the results from those presented in our previous report can be organized into three distinct elements: 1) the breadth of macro & equity market factors in predicting sector performance, 2) the relative importance of our LKI leading indicator, and 3) the difference between domestic/investable cyclical versus defensive performance. The Breath Of Predictive Factors Chart I-3In The Domestic Market, The Breadth Of Predictive Factors Is Narrower Compared with the models for investible sector performance that we detailed in our previous report, our work modeling domestic equity sector performance highlights that the breadth of predictive factors is narrower, particularly among cyclical sectors (Chart I-3). Our model for domestic materials (shown on page 12) is one exception to this rule, but we found that our models for energy, industrial, and consumer discretionary relative performance were all focused on fewer predictors than is the case for the investable market. In addition, our domestic utilities model has considerably worse predictive power than our model for investable utilities. The case of industrials is particularly notable: our model for investable industrials highlighted the importance of tight monetary policy, rising core inflation, rising broad market stock prices & earnings, and overbought and oversold technical conditions in explaining past periods of industrial sector outperformance. By contrast, our domestic industrials model is quite simple: the sector has been more likely to outperform, with a lag, when our BCA China Activity Index and LKI leading indicator have been rising, and underperform following periods of extreme overvaluation. One of the core conclusions of our previous report was that investors should view the relative performance of investable industrials versus consumer staples as a reflationary barometer, given the strong sensitivity of both sectors to tight monetary policy. We explained this sensitivity by pointing to the substantial difference in corporate health between the two sectors: industrial firms are heavily debt-laden and thus experience deteriorating operating performance and an environment of rising interest rates. In comparison, food and beverage firms appear to have the strongest balance sheets among the sub-sectors that we have examined, suggesting that they would benefit less from easier monetary conditions than firms in other industries. Our leading indicator for Chinese economic activity has been considerably more important in predicting domestic equity sector outperformance than in the investable market. However, these dynamics appear to be completely absent in influencing performance in China’s domestic equity market. Not only has domestic industrial sector relative performance not been negatively linked to periods of tight monetary policy, but our model for consumer staples (shown on page 15) highlights that periods of staples performance have been driven by two simple factors: the relative trend in staples EPS  (positive sign), and the trend in broad market EPS (negative sign). The Relative Importance Of Monetary Conditions, Money, And Credit Growth Chart I-4 summarizes the significance of the factors in predicting sector performance in general, by summing up each predictor’s number of stars across all of the models. The chart shows that our LKI leading indicator is the most important signal of sector performance that emerged from our analysis, followed by rising core inflation, rising broad market stock prices, rising economic activity, and oversold technical conditions. The ranking of results shown in Chart I-4 is fairly similar to those that we listed for the investable market, with two exceptions. First, for the domestic market, periods of tight monetary policy were considerably less important than in the investable market as an important predictor of relative sector performance. Instead, our LKI leading indicator was by far the most important predictor, which underscores a point that we have made in previous reports: domestic stocks appear to be much more sensitive to the trend in monetary conditions, money, and credit growth than for the investable market. This increased sensitivity has helped explain the difference in performance this year between the investable and domestic market, underscoring that the former has more catch-up potential than the latter in a trade truce scenario. Chart I-4Monetary Conditions, Money, & Credit Growth Drive A-Share Performance Second, in the investable market, episodes of significant overvaluation had essentially no power to predict future episodes of equity market underperformance. But this factor was an important or very important contributor to our domestic industrials, health care, and tech models. This finding is consistent with our May 23 Special Report, which noted that value stocks have outperformed in China’s domestic equity market over the past five years and underperformed in the investable market (Chart I-5). Chart I-5Value Has Been A More Successful ##br##Factor In The Domestic Market   Major Differences In The Performance Of Cyclicals Versus Defensives The results of our models for domestic equity sector performance did not change the cyclical & defensive labels that we applied in our previous report. The signs of the predictors shown in the tables on pages 11-22 clearly highlight that the domestic energy, materials, industrials consumer discretionary, and information technology sectors are cyclical sectors, and that consumer staples, health care, financials, telecom services, utilities, and real estate are defensive. What is striking, however, is that there is a major difference in the relative performance of equally-weighted domestic cyclicals versus defensives compared with what has occurred in the investable market over the past decade. Chart I-6A and Chart I-6B illustrate the different relative performance trends, along with their corresponding trends in relative P/E and relative EPS. Whereas the relative performance of investable cyclicals versus defensives has had somewhat of a stable mean over the past decade, domestic cyclicals have badly underperformed since early-2011. The charts also make it clear that this underperformance has been driven by a downtrend in relative EPS, not due to trend differences in relative valuation. Chart I-6ACyclicals/Defensives Somewhat Mean-Reverting In The Investable Market... Chart I-6B...But Not So In The Domestic##br## Market Digging further, it appears that this discrepancy can be largely explained by the significant difference in performance between investable and domestic tech over the past decade (Chart I-7). Whereas the former has outperformed the overall investable index by roughly 4-5 times since 2010, the relative performance of the latter has only very modestly risen. In effect, Charts I-6 and I-7 highlight that Chinese cyclical sectors have been structurally impaired over the past decade and have only been “saved” in the investable market by massive outsized outperformance of the tech sector. The fact that investable tech sector performance itself has been largely driven by 2 extremely successful firms underscores how narrowly based the investible cyclical versus defensives performance trend has been. Chart I-7A Huge Gap In Tech Explains Domestic Cyclical Underperformance Investment Conclusions There are three conclusions that investors can draw from our analysis. First, our research shows that episodes of domestic equity sector outperformance over the past decade appear to be more idiosyncratic (or sector specific) that has been the case for the investable market. This does not mean that domestic sector performance is not significantly impacted by macro and top down equity market factors, but it suggests that periods of “abnormal” relative sector performance may occur more frequently than in the investable universe. As such, investors should be prepared to include episode-specific investigation of abnormal performance as a regular part of their domestic equity sector allocation decisions. Investors should favor domestic cyclicals over the coming year, with exposure focused on consumer discretionary and tech. Second, the fact that our LKI leading indicator is in an uptrend suggests that investors should favor domestic cyclicals over defensives over the coming year, with a caveat. We have noted in several previous reports that our indicator is in a shallow uptrend, and the slower pace of money and credit growth than during previous economic upswings suggests that the bar may be higher for some cyclical sectors to outperform. We would advise investors to watch closely over the coming 3-6 months for signs of a technical breakout in all cyclical sectors. But sector performance in Q1 of this year, when the overall A-share market rose sharply versus global stocks, suggests that domestic consumer discretionary and tech should be favored within a cyclical equity portfolio over energy, materials, and industrials barring a surge in oil prices or a capitulation by Chinese policymakers in favor of “flood irrigation-style” stimulus (Chart I-8). Within resources, we prefer the investable energy sector to its domestic peer, due to a sizeable valuation advantage. Chart I-8Favor Select Domestic Cyclical Sectors Over The Coming Year As a third and final point, abstracting from our bullish outlook for select cyclical sectors over the coming year, Charts 6 and 7 clearly argue for investors to maintain a structural bias towards defensive stocks in the domestic market until cyclicals demonstrate meaningfully better earnings performance. In the May 23 Special Report that we referred to above, we noted that an A-share portfolio formed of industry groups with above-median return on equity and below-median ex-post beta has significantly outperformed over the past decade. Table I-1 presents the current industry group weights of this portfolio, and shows that overweight exposure is concentrated in the health care, consumer staples, and real estate sectors (all of which are defensive), and a heavy underweight towards industrials. Table I-1Current High ROE / Low Beta Factor Industry Group Portfolio Weights* For clients who are interested in strategically allocating to the A-share market, we maintain a long position in this portfolio relative to the MSCI China A Onshore index in our trade book, and plan to continue to update the performance of the trade on a weekly basis. Energy Chart II-1 Table II-1 Similar to the investable energy sector, periods of domestic energy sector outperformance are strongly positively related to rising oil prices and rising headline inflation in China. We noted in our previous report that this is a behavioral relationship, rather than a fundamental one. Domestic energy stocks are negatively associated with rising broad market stock prices, unlike their investable peers. This largely reflects the fact that the relative performance of domestic energy stocks has been in a structural downtrend over the past decade. From 2010 to mid-2016, this decline was caused by a persistent underperformance in earnings. Since mid-2016, domestic energy sector EPS have been rising in relative terms, meaning that more recent underperformance has been due to multiple contractions. While not as relatively cheap as their investable peers, domestic energy stocks are heavily discounted versus the broad domestic market based on both the price/earnings ratio and the dividend yield. Consequently, it is possible that domestic energy stocks may at some point begin to outperform in a rising broad equity market environment. For now, our model argues for an underweight stance towards domestic energy due to the lack of a clear uptrend in oil prices. As a pure value play, investable energy stocks maintain a dividend yield of nearly 6.5%, and are thus more attractive than their domestic peers. Materials Chart II-2 Table II-2 Our model for the domestic materials highlights that the sector’s performance has been related to strengthening economic activity and strongly related to a rising Li Keqiang leading indicator. Among the equity market variables that we tested, materials outperformance has been positively associated with rising relative EPS, rising broad market EPS, and prior oversold technical conditions. Similarly, the investable materials sector, these results show that domestic materials are a strong play on accelerating Chinese economic activity. The factors included in our domestic materials sector model are similar to those included in our investable material, except that relative material earnings have also been a significant predictor of sector relative performance. In addition, the macro & equity market predictors included in our domestic materials model have done a better job of leading material sector performance. The odds of domestic materials outperformance rose twice above the 50% mark this year according to our model, without any corresponding improvement in relative stock prices. The spikes in the model occurred largely because domestic materials became significantly oversold; technical conditions for the sector have only twice been weaker over the past decade. This underscores that investors should be watching domestic materials closely in Q1 of next year for signs of a relative rebound. Industrials Chart II-3 Table II-3 The results of our model for domestic industrial sector outperformance are interesting, as they imply that the drivers of performance are different between the domestic and investable markets. In the investable index, we found that industrials were heavily sensitive to monetary policy, rising core inflation, relative sector earnings, and periods of rising broad market stock prices. Our domestic model is considerably simpler: industrials outperform, with a lag, when our activity index and Li Keqiang leading indicator are rising. Periods of strong overvaluation have also been significant in predicting future episodes of domestic industrial sector underperformance. It is not clear to us why the drivers of relative performance for domestic industrials have been different than in the investable equity index, But the good news is that the relative simplicity of the model makes the investment decision making process for domestic industrials considerably easier. Today, domestic industrials are significantly undervalued, and our Li Keqiang leading indicator is in a shallow uptrend. This suggests that domestic industrials are likely to begin outperforming at some point in early-2020 following a bottoming in Chinese economic activity, unless policymakers are quick to tighten once activity begins to improve (which would be contrary to our expectations). Consumer Discretionary Chart II-4 Table II-4 Our domestic consumer discretionary model highlights that the sector’s relative performance is positively associated with a rising Li Keqiang leading indicator, rising core inflation, and rising broad market stock prices. Similar to its investable peers, domestic consumer discretionary stocks are cyclical, and positive relationship with core inflation may reflect improved pricing power for the sector. Unlike investable consumer discretionary, the domestic consumer discretionary has not been meaningfully impacted by the December 2018 changes to the global industry classification standard. Hence, our model does not exclude the internet & direct marketing retail sector as we did in our previous report on investable sectors. For now, our model suggests that the domestic consumer discretionary sector is likely to continue to underperform, given decelerating core inflation and the lack of a clear uptrend in the broad domestic equity index. However, as a cyclical sector, we will be watching closely for an upside breakout in domestic consumer discretionary performance in the first quarter as a signal to increase exposure to the sector. Consumer Staples Chart II-5 Table II-5 Our domestic consumer staples model is significantly different than that shown in our previous report for investable staples. This reflects sizeable differences in investable/domestic staples relative performance over the past decade, particularly from mid-2015 to late-2017 (where domestic staples outperformed significantly and investable staples languished). Of the two predictors found to be significant in explaining historical periods of domestic staples performance, a negative relationship with the trend in broad market EPS has been the most important. This underscores that staples are defensive sector. The trend in staples relative earnings has closely followed in importance, showing that the tremendous outperformance in domestic consumer staples over the past several years has, at least in part, been driven by fundamentals. Still, domestic consumer staples are currently priced at 34x earnings per share, compared with 15x for the overall domestic market. While our model currently argues for continued staples outperformance, the risk of a valuation mean reversion next year, against the backdrop of an improving economy, is above average. Over the coming 6-12 months, investors should be closely monitoring domestic staples for signs of waning earnings momentum and/or a major technical breakdown as potential signals to reduce domestic staples exposure. Health Care Chart II-6 Table II-6 Over the past decade, periods of domestic health care outperformance have been negatively associated with rising economic activity, rising core inflation, and rising broad market stock prices. Oversold technical conditions and periods of overvaluation have also helped predict future episodes of health care relative performance. These factors clearly point to the defensive nature of domestic health care, similar to health care stocks in the investable index. However, one clear difference between investable and domestic health care is that the former appears to have leading properties and the latter does not. We noted in our previous report that periods of investable health care underperformance appeared to lead, on average, our BCA Activity Index, periods of rising core inflation, and uptrends in the broad investable index. By contrast, domestic health care lags the Activity Index and core inflation by just over a year, and also lags the trend in broad market EPS. Our model points to further health care outperformance, but we would expect domestic health care stocks to underperform at some point next year following an improvement in economic activity and a resumed uptrend in broad domestic EPS. Financials Chart II-7 Table II-7 Our outperformance probability model for domestic financials highlights that the sector is countercyclical: periods of outperformance have been negatively related to our LKI leading indicator, rising core inflation, and rising broad market stock prices. Similar to the case of the investable index and unlike the case globally, financials are clearly defensive. Investable financials have exhibited atypical performance this year according to the model presented in our previous report. By contrast, domestic financials have performed in line with what our model has suggested: our LKI leading indicator is in a shallow uptrend, and the relative performance of domestic financials has trended flat-to-down since late-2018. Barring a major shift by the PBoC towards a hawkish stance in the coming year (which we do not expect), our base case view for the Chinese economy implies that domestic financials are likely to continue to underperform. Banks Chart II-8 Table II-8 Our model for domestic banks is similar to that of financials, with some important differences. In addition to being sensitive to our LKI leading indicator, domestic bank performance is negatively related to our Activity Index. Oversold technical conditions have also been quite important in predicting future episodes of domestic bank outperformance. The model is currently forecasting domestic bank underperformance, although it was late in predicting the selloff in bank stocks that began late last year. Similar to the case for domestic financials, our baseline view for the Chinese economy implies that domestic bank are likely to continue to underperform over the coming year. Information Technology Chart II-9 Table II-9 Our model for the domestic technology sector is different than that of investable tech, which reflects the vast difference in performance between the two sectors. While the relative performance of domestic tech has trended sideways over the past decade, investable tech stock prices have risen fourfold relative to the broad investable index. This difference is largely accounted for by the absence of the BAT stocks (Baidu, Alibaba, Tencent) from the domestic market. Similar to investable tech, domestic technology stocks are negatively related to tight monetary policy, and positively linked with a pro-cyclical economic variable (a rising LKI leading indicator). However, strangely, domestic tech has been strongly and negatively related to rising headline inflation, a finding with no clear fundamental basis. The model has been less successful in predicting domestic tech performance over the past year than in the past, which appears to be linked to the inclusion of headline inflation in the model. Rising headline inflation has been clearly associated with three major episodes of domestic tech underperformance since 2010, but over the past year domestic tech has outperformed as headline inflation accelerated. For now we would advise investors to focus on the other factors in the model: the lack of overvaluation, and our view that policy will remain easy on a measured basis, supports an overweight stance towards domestic tech over the coming year. Telecom Services Chart II-10 Table II-10 Our domestic telecom services relative performance model highlights that the sector is defensive like its investable peer, but the factors driving performance are somewhat different. The only similarity between the two models is that periods of outperformance are negatively related to rising broad market stocks prices for both investable and domestic telecom services, with domestic telecom stocks responding with a lag. Among the macro factors included in the model, periods of domestic telecom services outperformance are negatively and coincidently related to our LKI leading indicator, and positively related to tight monetary policy (with a slight lead). Oversold technical conditions have also proven to help predict future episodes of outperformance. The model failed to predict a brief period of outperformance in mid-2018, but has generally accurately predicted underperformance of domestic telecom stocks since early-2017. Barring a collapse in the US/China trade talks or considerably weaker near-term economic conditions than we expect, domestic telecom services will likely continue to underperform until the specter of tighter monetary policy emerges. This is unlikely to occur until the middle of 2020, at the earliest. Utilities Chart II-11 Table II-11 Overall, our domestic utilities model has considerably worse predictive power than our model for investable utilities. The model shows that the performance of domestic utilities is negatively related to rising core inflation (with a lag) and rising broad market EPS, but these relationships are not particularly strong. We noted in our June 19 Special Report that domestic utilities ranked highly on the impact that relative EPS had on predicting relative stock prices , yet relative sector earnings did not register as a significant predictor in our model. This apparent discrepancy is resolved by differences in the time horizon between these two approaches. The analysis that we presented in our June 19 Special Report examined the relationship between earnings and stock prices over the entire sample period (2011-2018), meaning that it examined the predictive power of earnings over the long-term. The models built in this report have focused strongly on explaining periods of outperformance over a 6-12 month time horizon, there have been enough deviations in the trend between the relative performance of utilities and relative utilities earnings that the relationship between the two was not sufficiently strong to show up in the model. In other words, the long-term link between utilities relative earnings and stock prices is strong, but the short-term link is fairly weak. Real Estate Chart II-12 Table II-12 Similar to investable real estate, our model shows that domestic real estate is a counter-cyclical sector in that it is negatively related to periods of rising economic activity, a rising LKI leading indicator, tight monetary policy, and rising core inflation. Overbought technical conditions have also aided in predicting future episodes of domestic real estate underperformance. Our model for domestic real estate stocks has performed quite well on average, but its predictive success since late-2017 has been mixed. This period of atypical underperformance has coincided with a considerably weaker rebound in residential floor space sold than has occurred in previous recoveries in the real estate market. This suggests that domestic real estate stocks are more susceptible to trends in housing sales than their investable peers (which appear to be mostly sensitive to rising house prices). We noted in our November 6 Weekly Report that floor space sold is picking up , but it still remains weak when compared with history. This, in combination with our view that the Chinese economy will improve over the coming year, suggests that investors should avoid domestic real estate exposure relative to the overall domestic equity market. Footnotes 1  Please see China Investment Strategy Special Report "A Guide To Chinese Investable Equity Sector Performance," dated October 30, 2019, available at cis.bcaresearch.com 2  Please see China Investment Strategy "Six Questions About Chinese Stocks," dated January 16, 2019, available at cis.bcaresearch.com 3  Please see China Investment Strategy Special Report "Chinese Equity Sector Earnings: Predictability, Cyclicality, And Relevance," dated June 19, 2019, available at cis.bcaresearch.com 4  Please see China Investment Strategy Weekly Report "China Macro And Market Review," dated November 6, 2019, available at uses.bcaresearch.com Cyclical Investment Stance Equity Sector Recommendations
Feature Chart I-1Lebanese Bond Yields Have Surged To Precarious Levels In a May 2018 Special Report, we warned that a devaluation and government default were only a matter of time in Lebanon. The country's sovereign US dollar bond yields have now reached a whopping 21% and local currency interest rates stand at 18% (Chart I-1). On the black market, the Lebanese pound is already trading 12% below its official rate. A public run on banks and bank deposit moratorium, as well as public debt default and a massive currency devaluation are now unavoidable. A Classic Case Of EM Bank Run And Currency Devaluation
 The current state of Lebanon’s balance of  payments (BoP) is disastrous: The current account (CA) deficit has oscillated between 10% and 20% of GDP in the past 10 years (Chart I-2). This wide CA deficit has been funded by speculative portfolio flows into local currency government bonds, sovereign bonds and bank deposits. However, since the middle of 2018 these inflows have dried up. In turn, to defend the currency peg to the US dollar and avoid a currency depreciation in the face of the BoP deficit, the Central Bank of Lebanon (BDL) has been depleting its foreign exchange (fx) reserves, i.e., the central bank has been financing the BoP deficit (Chart I-3). Chart I-2Lebanon's Chronic Current Account Deficit   Chart I-3Lebanon: The BoP Has Been Deteriorating Substantially   BDL’s gross fx reserves – including gold – have dropped from $48 billion in 2018 to its current level of $43 billion. We estimate that BDL’s net foreign exchange reserves excluding commercial banks’ US dollar deposits at BDL are at just $26 billion. This amount is insufficient in light of the panic-induced outflows the country and the banking system are experiencing.1  As a result of the two-week long bank shutdown amid massive protests, confidence in the banking system is quickly collapsing and capital is leaving Lebanon. Chart I-4Depositors’ Are Heading For The Exit Worryingly, as a result of the two-week long bank shutdown amid massive protests, confidence in the banking system is quickly collapsing and capital is leaving Lebanon.2   Moreover, after opening their doors, Lebanese commercial banks are now imposing unofficial capital controls – they are paying US dollar deposits in local currency only and are no longer providing dollar-denominated credit lines to businesses and importers. This will only intensify the panic among depositors. Chart I-4 illustrates that local currency deposits have already been declining while US dollar deposits have been slowing, and will likely begin contracting soon. In short, capital outflows will intensify in the coming weeks as people and businesses quickly realize that banks cannot meet their demand for deposits. Critically, we suspect Lebanese commercial banks are short on US dollars to meet people’s demand for the hard currency. Commercial banks’ net foreign currency assets stand at negative $70 billion or 127% of GDP. They hold, roughly, somewhere around $20 billion worth of US dollars in the form of liquid and readily available deposits (in banks abroad and deposits in the central bank) versus $124 billion worth of dollar deposits. Over the years, Lebanese commercial banks have been an attractive place for investors and residents to park their US dollars given the high interest rate paid by the banks. In turn, Lebanese commercial banks have been converting these US dollar deposits into local currency in order to buy government bonds. With domestic bonds yielding well above the rates on US dollar deposits - and given the exchange rate peg to the dollar - commercial banks have been de facto playing the carry trade. In addition, commercial banks also lent some of these dollars directly to the private sector. With the economy collapsing and the widening dollar shortage, banks will not be able to either collect their dollar loans or purchase dollars in the market.   Without new dollar funding – which is very likely to persist – banks will fail to meet the demand for dollars. As a result, a bank run is imminent. At this point, the sole option is for the central bank to keep pushing local interest rates higher to discourage capital flight and a run on the banks. Yet, at 18% and surging, interest rates will suffocate the Lebanese economy and the property market. This will dampen sentiment further and cause a bank run. Bottom Line: A bank run is brewing and bank moratorium as well as currency devaluation are inevitable. 
As Well As Public Debt Default Lebanese commercial banks are not only being squeezed by capital outflows and deposit withdrawals, they are also about to face a public debt default. Chart I-5Public Debt Dynamics Are Toxic Lebanese commercial banks are not only being squeezed by capital outflows and deposit withdrawals, they are also about to face a public debt default. Commercial banks own 37% of outstanding government debt. This will come on top of skyrocketing private-sector non-performing loans and will push banks into outright bankruptcy. Lebanon’s fiscal and public debt dynamics have reached untenable levels. The fiscal deficit stands at 10% of GDP and total public debt stands at 150% of GDP (Chart I-5). Surging government borrowing costs will push interest payments as a share of government aggregate expenditures to extremely high levels. These are unsustainable fiscal and debt arithmetics (Chart I-6). Meanwhile, government revenues will decline as growth falters (Chart I-6, bottom panel). The pillars of the Lebanese economy – private credit growth and construction activity – have been already collapsing (Chart I-7). Chart I-6Surging Interest Rates Will Make Public Debt Servicing Impossible Chart I-7Lebanon: Domestic Economy Has Been Collapsing Bottom Line: The Lebanese government will be forced to default on both local currency and dollar debt. This will be the final nail in the coffin of the Lebanese banking system.    Ayman Kawtharani Editor/Strategist ayman@bcaresearch.com   Footnotes 1    BDL does not publish its holding of net foreign exchange reserves. However, other estimates of BDL’s net fx reserves  are even lower. Please refer to the following paper: Financial Crisis In Lebanon, by Toufic Gaspard and the following article: Lebanon Warned on Default and Recession as Its Reserves Decline. 2   Banks shut down allegedly as a result of the ongoing civil disobedience that was sparked by the government’s reckless decision to tax WhatsApp's call service. The protests quickly escalated to a country-wide uprising, causing the government to resign on October 29.
特別レポヌト Highlights In this report, we build and present models designed to predict the odds of Chinese investable equity sector outperformance, based on a set of macroeconomic and equity market factors. BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to help investors to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. Among the top six factors explaining historical periods of sector performance, three were macroeconomic in orientation, and two were directly related to the broad Chinese equity market. We see this as strongly supportive of the potential returns to be earned from active top-down sector rotation within China’s investable market. Cyclical stocks are very depressed relative to defensives, and we would favor them versus defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. Feature In our June 19 Special Report, we reviewed the predictability and cyclicality of equity sector earnings in China's investable & domestic markets, and examined the relevance of earnings in predicting relative sector performance over the past decade. We noted that a few sectors scored highly in terms of earnings predictability and the relevance of those earnings in predicting relative performance. But we also highlighted that most of China's equity sectors, in both the investable and domestic markets, either demonstrated earnings trends that were difficult to predict based on the trend in overall market earnings or exhibited relative performance that was difficult to explain based on the relative earnings profile. Our models are designed to predict equity sector relative performance using a series of macroeconomic and equity market factors. In short, our June report underscored that China’s equity sectors warranted a closer examination, with a particular emphasis on understanding the specific macroeconomic or equity market factors that have historically predicted relative sector performance. Today’s report examines this question in depth, focused on China’s investable equity market. We hope to extend our research to the A-share market in the near future. Our approach focuses on constructing and presenting models that quantify a checklist-based approach to determining the odds of equity sector performance. The aim is to use these models to better understand the drivers of performance at any given moment, and to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use them as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We conclude by highlighting the substantial underperformance of cyclical vs defensives sectors over the past two years, and argue that it is highly unlikely that cyclicals will underperform defensives over the coming 12 months if China strikes a trade deal with the US and the economy incrementally improves, as we expect. We also explain the importance of monitoring the relative performance of health care & utilities stocks over the coming few months, and present a unique sector-based barometer for gauging China’s reflationary stance. The latter two relative performance trends are likely to assist investors in positioning for the big call: the outperformance of Chinese investable stocks vs the global benchmark. Detailing Our Approach In our effort to better understand historical periods of sector outperformance, we have chosen to model the probability of outperformance of each level 1 GICS sector (plus banks) based on a set of macro and equity market variables. Specifically, we use an analytical tool called a logistic regression, which forecasts the probability of a discrete event rather than forecasting the value of a dependent variable. We utilized this approach when building our earnings recession model for China (first presented in our January 16 Special Report1), and investors will often see it (in its conceptually different but practically similar probit form) employed when analyzing the likelihood of an economic recession. The New York Fed’s US recession model is a notable example of the latter,2 which has received much attention by market participants over the past year following the inversion of the US yield curve. The “events” that we modeled are historical periods of individual Chinese investable sector outperformance from 2010 to 2018, relative to the MSCI China index (the “broad market”). Charts I-1A and I-1B illustrate these periods with shading in each panel. We then attempt to explain these episodes of outperformance with the following macro predictors: Chart I-1AThis Report Builds Models Aimed At... Chart I-1B...Predicting The Shaded Regions Of These Charts Periods of accelerating economic activity, represented by our BCA's China Activity Index Periods of rising leading indicators of economic activity, represented by our BCA Li Keqiang Leading Indicator Episodes of tight monetary policy, defined as periods where China’s 3-month interbank repo rate is rising Periods of accelerating inflation, measured both by headline and core inflation We also include several equity market variables: uptrends in relative sector earnings, periods of rising broad market stock prices, uptrends in broad market earnings, and episodes of extreme technical conditions and relative over/undervaluation for the sector in question. In the case of energy stocks, we also include oil prices as a predictor. Charts I-2A and I-2B illustrate these periods as well as the macro & market variables that we have included as predictors. Chart I-2AWe Use These Macroeconomic And Equity Market Factors... Chart I-2B...To Predict Periods Of Equity Sector Outperformance Our approach also accounts for the existence of any leading or lagging relationships between the macro and market variables we have used as predictors and sector relative performance. In most cases the predictors lead relative sector performance, but in some cases it is the opposite. In the case of the latter, we have limited the lead of any variable in our models to 3 months in order to reduce the need to forecast. The link between tight monetary policy and industrial sector performance is one exception to this rule that we detail below. Finally, our approach also limits the extent to which we consider a leading relationship between our predictors and relative sector performance, in order to avoid picking up overlapping economic cycles. This issue, and the evidence supporting the existence of a 3œ-year credit cycle in China, are detailed in Box 1. Box 1 Accounting For China’s 3œ-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 3œ -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 3œ-Year Credit Cycle Chart I-B2With Short Cycles, Excessive Lags Risk Picking Up The Previous Cycle The Key Drivers Of Chinese Investable Equity Sectors Pages 12-23 present the results of each sector’s outperformance probability model, along with a list of factors that were found to be useful predictors and a summary of the results. The importance of the factors included in the models is shown in each of the tables at the top right of pages 12-23 by a score of 1-3 stars, (loosely representing key levels of statistical significance) as well as each factor’s optimal lead or lag. A minus sign shows that the predictor leads sector relative performance, whereas a plus sign shows that it lags. Rising core inflation in China is the most important signal of sector performance that emerged from our analysis. Chart I-3China’s Sectors Linked Strongly To Core Inflation, Monetary Policy, And Growth Chart I-3 summarizes the significance of the factors in predicting sector performance in general, by summing up each predictor’s number of stars across all of the models. The chart shows that rising core inflation in China is the most important signal of sector performance that emerged from our analysis, followed by tight monetary policy, rising economic activity, rising broad market stock prices, oversold technical conditions, and rising broad market earnings. Chart I-3 highlights two important points: If regarded through the lens of causality alone, the strong relationship between rising core inflation and sector performance is somewhat surprising: normally, pricing power is subordinate to revenue/sales/demand as the primary factor driving fundamental performance. However, given that inflation is a lagging economic variable, we suspect that the significance of inflation in our models actually reflects the middle phase of the economic cycle in which sectors tend to best exhibit meaningful out/underperformance. It is also a stronger predictor of periods of tight monetary policy in China than headline inflation.3 This is an encouraging result for investors, as it suggests good odds that future episodes of meaningful sector outperformance can be identified given a particular macro view. Among the top six factors explaining historical periods of sector performance, three were macroeconomic in orientation, and two were directly related to the broad Chinese equity market. While Chinese equity sector performance can sometimes be idiosyncratic, we see this as strongly supportive of the idea that investors can earn positive excess returns by actively shifting between China’s equity sectors using a top-down approach. Turning to the specific results of our sector models, we present the following big-picture findings of our research: Defining China’s Cyclical & Defensive Sectors From a top-down perspective, the most important element of sector rotation typically involves shifting from defensive to cyclical stocks when economic activity is set to improve (and vice versa). In China, it is clear from the results of our models that the investable energy, materials, industrials, consumer discretionary, and information technology sectors are cyclical sectors. The relative performance of these sectors exhibits a positive relationship to pro-cyclical macro variables, or broad market trends. Following last year’s GICS changes, we also include the media & entertainment industry group (within the new communication services sector) in this list. Correspondingly, investable consumer staples, health care, financials, telecom services, utilities, and real estate are defensive sectors in China. Chart I-4Cyclical Stocks Are Bombed Out Versus Defensives Chart I-4 illustrates how these sectors have performed over the past decade by grouping them into equally-weighted cyclical and defensive stock price indexes, as well as the relative performance of cyclicals versus defensives. The chart makes it clear that cyclical stock performance is essentially as weak as it has ever been relative to defensives over the past decade, with the exception of a brief period in 2013. Panel 2 highlights that all of the underperformance of cyclicals over the past two years has been due to de-rating, rather than due to underperforming earnings. The Atypical Case Of Financials & Real Estate The fact that financial and real estate stocks are defensive in China is somewhat curious. In the case of financials, the abnormality is straightforward: most global equity portfolio managers would consider financials to be cyclical, and our work suggests that this is not true for the investable market. Our explanation for this apparent discrepancy is also straightforward: while small and medium banks in China have obviously grown in prominence over the past decade, large state-owned or state-affiliated commercial banks are still dominant in the provision of credit to China's old economy. In most cases China’s large banks lend to state-owned enterprises with implicit government guarantees, meaning that the earnings risk for Chinese banks has typically been lower than for the investable market in the aggregate. It remains to be seen whether this will remain true in a world where Chinese policymakers are keen to slow the pace at which China’s macro leverage ratio rises and to render the existing stock of debt more sustainable for the non-financial sector. Indeed, over a multi-year time horizon, the risk are not trivial that banks will be forced to recapitalize as a result of forced changes to loan terms (eg: significant increases in the amortization period of existing loans) or the recognition of sizeable loan losses, which would clearly increase the cyclicality of the Chinese investable financial sector. Chart I-5A Seeming Contradiction: Real Estate Is High-Beta, But Defensive On the real estate front, the anomaly is not that real estate stocks respond defensively to macroeconomic and stock market variables, it is that real estate stock prices are considerably more volatile than this defensive characterization would suggest. Globally (and especially in the US), real estate stocks are often viewed as bond proxies and thus are typically low-beta, but Chart I-5 shows that this is not the case in China. In our view, this issue is reconciled by the fact that Chinese investable real estate stocks are also highly positively linked to Chinese house price appreciation, with relative performance typically leading a pickup in house prices by up to 1 year. This strongly leading relationship has meant that real estate stocks have often outperformed the broad market as economic activity is slowing, in anticipation that policy easing will lead to an eventual recovery in house prices. Chart I-6Still Following The Defensive Playbook This Year In effect, investable real estate stocks are a high-beta sector that have acted counter-cyclically due to the historical interplay between economic activity, monetary policy, and the housing market. Real estate performance this year has not deviated from this playbook (Chart I-6), and so for now we are content to include real estate stocks in our defensive index. But similar to the case of financials, we can conceive of scenarios in which ongoing Chinese financial sector reform may change this relationship in the future. The Unique Monetary Policy Sensitivity Of Industrials And Consumer Staples Pages 14 and 16 highlight that industrials and consumer staples stocks have typically been sensitive to periods of tight monetary policy. In the case of industrials the relationship is negative, whereas consumer staples relative performance has been positively linked to these periods. In both cases, relative performance has led periods of tight monetary policy, significantly so in the case of industrials (by an average of 8 months). While the relative performance of banks, tech, and real estate stocks have also been linked to periods of tight monetary policy, industrials and consumer staples are the only sectors that have tended to lead these periods. Chart I-7Diverging Corporate Health Explains Industrials/Staples Monetary Policy Sensitivity This is a revelatory finding, and in our view it is explained by divergences in corporate health and leverage for the two sectors. We reviewed Chinese corporate health in our August 28 Special Report,4 and noted that the food & beverage sub-industry was a clear (positive) outlier based on our corporate health monitors. In particular, Chart I-7 highlights that food & beverage corporate health is markedly better than that for machinery companies or for industrial firms in general, supporting the notion that high (low) leverage is impacting the relative performance of industrials (consumer staples). The Leading Nature Of Health Care & Utilities Health care and utilities exhibit similar key drivers of relative performance: in both cases, periods of rising economic activity, rising core inflation, and rising broad market stock prices are all negatively associated with performance. Health care and utilities relative performance also happens to lead all three of those predictors, by 1-3 months on average depending on the variable in question. Our modeling work highlights that these are the only sectors whose relative performance has led multiple factors, suggesting that health care & utilities stocks are particularly interesting market bellwethers to monitor. Core Inflation Matters More Than Headline, Except For Energy & Real Estate As highlighted in Chart I-3, rising core inflation has been a much more important signal about relative sector performance than headline inflation. Chart I-8In China, Food Prices (Not Energy) Account For Headline/Core Differences The two exceptions to this rule relate to the energy and real estate sectors, with the former positively linked to headline inflation and the latter negatively linked. In both cases, we suspect that the relationship is a behavioral rather than a fundamental one. For energy, while rising headline inflation in developed countries is usually associated with rising energy prices, this is not true in the case of China. Chart I-8 highlights that differences between headline and core inflation over the past decade have almost always been driven by rising food prices. This implies that some investors (incorrectly) view energy stocks as a hedge against increases in consumer prices, even if those increases are not driven by rising fuel costs. In the case of real estate, investor expectations of eroding real disposable income and its impact on the housing market are likely the best explanation for the negative link between real estate relative performance and rising headline inflation. Whereas rising core inflation likely reflects a durable improvement in economic momentum (and thus would be positively correlated with income growth), episodes of rising Chinese headline inflation often reflect supply shocks that investors may perceive to be detrimental to household spending power (and thus expected housing demand). Investment Conclusions Our work aimed at explaining historical periods of Chinese investable sector outperformance has three investment implications in the current environment. Cyclicals will probably outperform defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. First, within China’s investable market, Chart I-4 illustrated that cyclical stocks are very depressed relative to defensives. Given our view that Chinese investable stocks are likely to outperform their global peers over a 6-12 month time horizon, we would also favor cyclicals to defensives over that period. For investors who are not yet overweight cyclical stocks in China, we would advise waiting for concrete signs that growth has bottomed (which should emerge sometime in Q1) before putting on a long position as we remain tactically neutral towards Chinese versus global stocks. But the key point is that it is highly unlikely that cyclicals will underperform defensives over the coming year if China strikes a trade deal with the US and the Chinese economy incrementally improves, as we expect. Second, the fact that investable health care and utilities stocks have particularly leading properties suggests that they should be monitored closely over the coming few months. A technical breakdown in the relative performance of these sectors would be an important sign that market participants are anticipating a bottoming in China’s economy, which may give investors a green light to position for a bullish cyclical stance. For now, both of these sectors continue to outperform (Chart I-9), supporting our decision to remain tactically neutral towards Chinese stocks. Third, the heightened negative sensitivity of industrials and positive sensitivity of consumer staples to monetary policy suggests that the relative performance trend between the two sectors may serve as a reflationary barometer for China’s economy. Chart I-10 shows that industrials outperformed staples last year once the PBOC shifted into easing mode, and anticipated the recovery in the pace of credit growth. However, industrials soon began to underperform staples, which also seems to have anticipated the fact that the recovery in credit was set to be less powerful than what has occurred during previous cycles. The fact that the relative performance trend is off its recent low is notable, and may suggest that China’s existing reflationary stance will be sufficient to stabilize economic activity if a trade deal with the US is indeed finalized in the near future. Chart I-9Key Defensive Sectors Are Still Outperforming, Supporting Our Neutral Tactical Stance Chart I-10Industrials Vs. Staples Anticipated That Easing Would Only Be Measured As a final point, BCA Research's China Investment Strategy service will aim to use our newly developed sector outperformance probability models to make more active equity sector recommendations in the future. These recommendations will not mechanically follow the models; rather, we plan to use the models as a stand in for what typically would be expected given the macro and financial market environment, and as a basis to investigate “abnormal” relative performance. We hope you will find these models to be a helpful quantification of the risk versus return prospects of allocating among China’s investable sectors. As always, we welcome any feedback that you may have about our approach.   Energy Chart II-1 Table II-1   Unsurprisingly, our energy sector model highlights that periods of energy outperformance are strongly linked to periods of rising crude oil prices. However, what is surprising is that periods of accelerating headline inflation in China are even more closely linked to periods of energy sector outperformance than episodes of rising oil prices, and that these periods of accelerating inflation are not generally caused by rising energy prices. The lack of a clear economic rationale for this relationship implies that some investors (incorrectly) view energy stocks as a hedge against increases in consumer prices, even if those increases are largely driven by rising food prices. The model also highlights that periods of strong undervaluation have historically been significant in predicting future energy sector outperformance, with a lag of roughly 8 months. The probability of energy sector outperformance has fallen sharply according to our model, but for now we continue to recommend a long absolute energy sector position on a 6-12 month time horizon. BCA’s Commodity & Energy Strategy service expects oil prices to trade at $70/barrel on average next year,5 Chinese headline inflation continues to rise, and we noted in our October 2 Weekly Report that energy stocks are heavily discounted.6 Barring a durable decline in oil prices below $55/barrel, investors should continue to favor China’s energy sector. Materials Chart II-2 Table II-2 Our model highlights that the materials sector is one of the clearest plays on accelerating industrial activity within the investable universe. Among the macro variables that we tested, periods of investable materials outperformance are strongly positively linked with periods when our BCA Activity Index and our leading indicator for the index have been rising. Periods of materials sector outperformance have also been positively correlated with prior periods of oversold technical conditions and rising broad market stock prices, underscoring that materials are a strongly pro-cyclical sector. We currently maintain no active relative sector trades, but our model suggests that investors should be underweight the investable materials sector relative to the broad investable index. Industrials Chart II-3 Table II-3 Periods of industrial sector outperformance have historically been positively correlated with relative industrial sector earnings, broad market stock prices, and prior oversold technical conditions. They have been negatively correlated with periods of tight monetary policy, rising core inflation, and prior overbought technical conditions. Since 2010, periods of industrial sector performance have led periods of tight monetary policy by 8 months, the longest lead of relative equity performance to any macro variable that we tested in our model (and the longest lead that we allowed). Industrial sector performance has also been strongly negatively linked with periods of rising core inflation. These findings, and the fact that our Activity Index and its leading indicator have not been highly successful at predicting periods of industrial sector outperformance, strongly suggest that industrials, while pro-cyclical, are primarily driven by expectations of easy monetary policy. We noted in an August 2018 Special Report that state-owned enterprises have become substantially leveraged over the past decade,7 and in a more recent report we highlighted that industries such as machinery have experienced a significant deterioration in corporate health over the past decade.8 This helps explain why industrial sector performance is so negatively impacted by tight policy. Our model suggests that the best time to be overweight industrial stocks is the early phase of an economic rebound, when Chinese stock prices are rising but market participants are not yet expecting tighter policy. These conditions may present themselves sometime in Q1, but probably not over the coming 0-3 months. Consumer Discretionary Ex-Internet & Direct Marketing Retail Chart II-4 Table II-4 Besides materials, China’s investable consumer discretionary sector has historically been the most positively associated with coincident and leading measures of industrial activity. Rising core inflation is also highly positively related to consumer discretionary outperformance, which may reflect improved pricing power for the sector. The strong link with industrial activity is in contrast to depictions of China’s consumer sector as being less correlated to money & credit trends than the overall economy, and is supportive of our view that industrial activity forms one of the three pillars of China’s business cycle.9 We ended the estimation period of our model as of December 2018, in order to avoid including the distortive effects of last year’s changes to the global industry classification standard (which resulted in Alibaba’s inclusion and overwhelming representation in the investable consumer discretionary sector). As such, the results of our model apply today to consumer discretionary stocks ex-internet & direct marketing retail. For now, the absence of an uptrend in our Activity Index and in core inflation is signaling underperformance of discretionary stocks outside of internet & direct marketing retail. Outperformance this year largely reflects a significant advance in consumer durable and apparel: by contrast, automobiles & components have underperformed the broad market by roughly 14% year-to-date. Consumer Staples Chart II-5 Table II-5 Historically, periods of consumer staples outperformance have been predicted by a falling Activity Index, periods of tight monetary policy, and over/undervalued conditions. The impact of monetary policy is particularly heavy in the model, suggesting that consumer staples are somewhat the mirror image of industrials in terms of the impact of leverage on relative equity performance. This too is supported by our August 28 Special Report,10 which noted that corporate health for the food & beverage sector was the strongest among the sectors we examined. However, the model failed to capture what has been very significant staples outperformance this year, highlighting the occasional limits of a rule-of-thumb approach to sector allocation. Investable consumer staples are reliably low-beta compared with the broad market, and we are not surprised that investors have strongly favored the sector this year amid enormous economic and policy uncertainty. An eventual improvement in economic activity, coupled with fairly rich valuation, should work against consumer staples stocks sometime in the first quarter of 2020. Investors who are positioned in favor of China-related assets should also be watching closely for any signs of a technical breakdown in the relative performance trend of investable staples. Health Care Chart II-6 Table II-6 Among the macro variables tested in our model, periods of health care outperformance are negatively related to coincident and leading measures of industrial activity and strongly negatively related to rising core inflation.  Health care outperformance is also strongly negatively related to periods of rising broad market stock prices, and positively related to prior oversold technical conditions. These results clearly signify that investable health care is a defensive sector, to be owned when the economy is slowing and when investable stocks in general are trending lower. Our model suggests that health care stocks are likely to continue to outperform, as they have been since the beginning of the year. A substantive US/China trade deal that meaningfully reduces economic uncertainty remains the key risk to health care outperformance over a 6- to 12-month time horizon. Financials Chart II-7 Table II-7 Our model highlights that periods of financial sector outperformance over the past decade have been negatively associated with periods of rising core inflation (a strong relationship), and with periods of rising index earnings. Oversold technical conditions have also helped explain future episodes of financial sector outperformance. The link between core inflation and the outperformance of financials appears to represent a behavioral rather than a fundamental relationship. When modeling periods of rising financial sector relative earnings, the trend in broad market EPS is more predictive than that of core inflation, highlighting that the latter’s explanatory power is due to investor behavior. The results of our model, and the fact that core inflation leads Chinese index earnings, suggests that financials are fundamentally counter-cyclical and that investors see rising Chinese core inflation as confirmation that an economic expansion is underway (and that broad market earnings are likely to rise). Our model is currently predicting financial sector outperformance, but investable financials have modestly underperformed since the beginning of the year. This appears to have been caused by the underperformance of financial sector earnings this year as overall index earnings growth has decelerated, contrary to what history would suggest. We suspect that the ongoing shadow banking crackdown is related to financial sector earnings underperformance, and we would advise against an overweight stance towards investable financials until signs of improving relative earnings emerge. Banks Chart II-8 Table II-8 Our model shows that periods of banking sector outperformance are more linked to macro variables than has been the case for the overall financial sector. Specifically, bank performance is negatively correlated with leading indicators of economic activity and rising core inflation, and especially negatively correlated with periods of tight monetary policy. Banks have also typically outperformed following periods of oversold technical conditions. Similar to financials, bank earnings are typically counter-cyclical, but relative bank earnings have not been good predictors of relative bank performance over the past decade. Still, the negative association of relative stock prices with leading economic indicators, rising core inflation and rising interest rates underscores that investors should normally be underweight banks if they expect overall Chinese stock prices to rise. Also similar to the overall financial sector, our model is currently predicting outperformance for bank stocks, but investable banks have underperformed year-to-date. The shadow banking crackdown is also likely impacting investable bank earnings, leading to a similar recommendation to avoid bank stocks until relative earnings look to be trending higher. “Tech+”   Chart II-9 Table II-9 Our technology model has worked well at predicting periods of tech sector outperformance over the past several years, particularly from 2015 – 2017. The model suggests that, in addition to being negatively related to prior overbought conditions, periods of technology sector outperformance are associated with improving growth conditions, easy monetary policy, and rising prices. In other words, tech stocks are a growth & liquidity play. Owing to last year’s changes to the GICS, the results of our model apply today to Chinese investable internet & direct marketing retail, the media & entertainment industry group (within the new communication services sector), and the now considerably smaller information technology sector (the sum of which could be considered the “tech+” sector). The model has been predicting tech sector outperformance since May (in response to easier monetary policy), which has occurred for the official information technology sector. However, the BAT (Baidu, Alibaba, and Tencent) stocks are only up fractionally in relative terms from their late-May low. Our expectation that China’s economy is likely to bottom in Q1 means that we may recommend upgrading “tech+” stocks relative to the investable benchmark in the coming months. Telecom Services Chart II-10 Table II-10 Our model for telecommunication services (now a level 2 industry group within the communication services sector) illustrates that telecom stocks have historically been counter-cyclical. Periods of telecom outperformance have been negatively associated with periods of rising core inflation, rising broad market stock prices, and rising broad market EPS. It is notable that telecom services stocks are driven more by cycles in overall stock prices than by cycles in economic activity. This suggests that investors tend to focus on the fact that telecom stocks are reliably low-beta compared with the overall investable market, causing out(under)performance of telecoms when the broad market is falling(rising). Similar to financials & banks, telecom stocks have not outperformed this year, in contrast to what our model would suggest. Earnings also appear to be the culprit, with the level of 12-month trailing earnings having fallen nearly 10% since the summer. China Mobile accounts for a sizeable portion of the telecom services index, and the company’s recent earnings weakness seems to be due to depreciation charges stemming from forced investment on 5G spending (mandated by the Chinese government). Our sense is that this will have only a temporary effect on telecom services EPS, meaning that investors should continue to expect the sector to behave in a counter-cyclical fashion over the coming year. Utilities Chart II-11 Table II-11 The early performance of our utilities model was mixed, as it generated several false sell signals during the 2011 – 2013 period despite recommending, on average, an overweight stance. However, over the past five years, the model has performed extremely well in terms of explaining periods of relative utilities performance. The model highlights that utilities are straightforwardly counter-cyclical. The relative performance of utilities stocks is positively related to its relative earnings trend, and negatively related to economic activity, rising core inflation, and broad market stock prices.  Consistent with a decline in the overall MSCI China index, the model has correctly predicted utilities outperformance this year. We expect utilities to underperform over a 6-12 month time horizon, but would advise against an aggressive underweight position until hard evidence of a bottom in Chinese economic activity emerges. Real Estate Chart II-12 Table II-12 Our model for the relative performance of investable real estate has been among the most successful of those detailed in this report, which is somewhat surprising given the macro factors that the model shows drive real estate performance. While periods of relative real estate performance are modestly (negatively) associated with periods of tight monetary policy, rising headline inflation is the most important macro predictor of real estate underperformance. Among market factors driving performance, real estate stocks reliably underperform when broad market EPS are trending higher, and they historically outperform for a time after becoming relatively undervalued. Real estate relative performance is also strongly linked to periods of rising house prices, but the former tends to significantly lead the latter. Given that core inflation has better predicted episodes of tight monetary policy than headline inflation, investor expectations of eroding real disposable income is likely the best explanation for the negative link between real estate relative performance and rising headline inflation. Whereas rising core inflation likely reflects a durable improvement in economic momentum (and thus would be positively correlated with income growth), episodes of rising Chinese headline inflation often reflect supply shocks that investors may perceive to be detrimental to household spending power (and thus expected housing demand). Beyond the negative link between higher inflation and interest rates on investable real estate performance, the strong negative association with broad market earnings underscores that investors treat real estate as a defensive sector. We thus expect real estate stocks to continue to outperform in the near term, but underperform over a 6-12 month time horizon.   Jonathan LaBerge, CFA Vice President jonathanl@bcaresearch.com   Footnotes 1. Please see China Investment Strategy, "Six Questions About Chinese Stocks," dated January 16, 2019. 2. Please see Federal Reserve Bank of New York, The Yield Curve as a Leading Indicator at https://www.newyorkfed.org/research/capital_markets/ycfaq.html 3. This is despite frequent concerns among investors that the PBOC is inclined to tighten in response to detrimental supply shocks. 4. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. 5. Please see Commodity & Energy Strategy, "Policy Uncertainty Lifts USD, Stifles Global Oil Demand Growth," dated October 17, 2019. 6. Please see China Investment Strategy, "China Macro & Market Review," dated October 2, 2019. 7. Please see China Investment Strategy, "Chinese Policymakers: Facing A Trade-Off Between Growth And Leveraging," dated August 29, 2018. 8. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. 9. Please see China Investment Strategy, "The Three Pillars Of China’s Economy," dated May 16, 2018. 10. Please see China Investment Strategy, "Messages From BCA’s China Industry Watch," dated August 28, 2019. Cyclical Investment Stance Equity Sector Recommendations
Highlights The banks got the current earnings season off to a good start, 
 : Lending growth may be running in place, and net interest margins are under pressure, but positive operating leverage helped the banks beat expectations, and they are returning gobs of cash to their shareholders. 
 are quite constructive about the economy, 
 : The big banks’ CFOs and CEOs were uniformly bullish about the U.S. economy based on their perceptions of household and corporate health. 
 expect stellar credit performance to continue for the foreseeable future, 
 : Net charge-off and non-performing loan ratios are near all-time lows and the banks don’t see them rising any time soon. 
 and appear to be willing to extend loans in all categories except commercial real estate: Every bank sees unattractive competition in commercial real estate lending and plans to continue shrinking its CRE loan book. Nothing To See Here Two-fifths of the companies in the S&P 500 have now reported their quarterly earnings, and after this week the share will be two-thirds. At the aggregate level, it appears as if investors’ worst fears will not be realized, just as they weren’t in the first two quarters of the year. 2018’s greater than 20% year-on-year growth, powered by the sharp cut in the top corporate income tax rate, has rolled off, but earnings have yet to contract. They were projected to fall by a little over 3% at the beginning of this reporting season, but repeated practice has allowed corporate managements to hone their underpromise-and-overdeliver skills to a fine point, and we won’t be surprised if they avert an outright contraction. Chart 1Profit Margins Are Being Squeezed, ... Chart 2... But Neither Growing Compensation, ... Earnings growth has been stagnant this year (Chart 1, bottom panel), though revenues have grown a little faster than nominal GDP (Chart 1, top panel), with which they should converge over time. Profit margins have finally come under pressure, though it’s not exactly clear why. Employee compensation is businesses’ biggest expense by far, and while it has risen from its lows, its growth decelerated last quarter (Chart 2). Dollar strength is a headwind for U.S.-based multinationals, but the dollar only really moved last quarter, after ending the first half where it started the year (Chart 3). Dollar gains weigh on revenues just as surely as they do on profits, though we would not be at all surprised if the share of non-dollar expenses is a good bit smaller than the widely quoted 33-40% estimate of S&P 500 constituents’ foreign sales. Chart 3... Nor A Stronger Dollar Is A Clear-Cut Culprit Rate cuts have sparked a wave of mortgage refinancings, shifting wealth from mortgage investors to homeowners, who are more likely to spend it. Easier monetary conditions should help grease the skids for future earnings growth, both in the U.S. and abroad, and we expect the Fed will cut the fed funds rate by another 25 basis points when it meets this week. We have sympathy for the argument that since interest rates were not a meaningful constraint on growth, cutting them is not likely to provide much of a catalyst. Falling rates have provoked a wave of mortgage refinancings (Chart 4), however, so even if they don’t drive a big lending increase, they are already on their way to putting more money in the pockets of homeowners. Lower rates also reduce the risk of default by lowering debt-service costs for adjustable-rate borrowers, and by encouraging investors who need income to venture further out the risk curve, providing ample capital for borrowers seeking to extend their maturing obligations. Chart 4Putting More Money In Homeowners' Pockets Follow The Money Chart 5Bank Stocks Are Probing Resistance For two years, beginning in 2014, we reviewed the biggest banks’ earnings calls every quarter. The goal was to observe the give and take between bank management and sell-side analysts to gain some insight into the lending market and where it might be headed. We specifically sought information about banks’ willingness to lend, consumers’ and businesses’ appetite for credit, borrower performance, and the banks’ bottom-up perspective on the economy. We were also trying to glean insight into mortgage lending and what it might imply for residential investment. Studying the banks is a natural pursuit for a firm that was founded upon the insight that following money flows through the banking system would provide us with a window into the future direction of the economy and financial markets, and we return to it today. Our analysis is not meant to evaluate the banks’ own investment potential, though we note that they are testing resistance once again (Chart 5), and our Global Investment Strategy and U.S. Equity Strategy services both recommend overweighting them. This round of calls found bank management teams eager to ramp up their distributions to shareholders and optimistic about their ability to deploy technology to drive further efficiency gains. Big Banks Beige Book As a group, the banks were constructive on the economy. Despite widespread recession concerns, they do not see evidence of a looming slowdown from their interactions with consumers and businesses. Overall loan growth has remained around 5% over the last year and a half (Chart 6), while corporate and industrial (C&I) loan growth has ground to zero over the last thirteen weeks (Chart 7). The CEOs and CFOs do not see the C&I slump as the beginning of a worrisome trend, though, and global corporate bond issuance hit an all-time high in September, led by sizable issues from mega-cap U.S. companies. Businesses seeking credit are having no trouble getting it, though all the banks expressed an intention to continue cutting back their exposure to commercial real estate (CRE) loans. Chart 6Bank Lending Is Supporting Activity Without Risking Overheating Chart 7Lending Momentum Has Slowed, But It's Okay Another commercial real estate issue emerged across the calls: several of the biggest banks are consolidating their branch footprints. Prompted by questioning from one analyst, they touted branch closures as a way to enhance efficiency. We do not know if a reduction in bank demand for branch space would have an observable effect on demand for retail space across the country, but it certainly would in Manhattan. It seems possible that branch closures could pressure some retail lessors’ profitability, and thereby act as a drag on CRE whole-loan and CMBS performance at the margin. The Economy [C]onsumer spend and 
 confidence continue to be strong. I think business activity continues to be strong. I think it’s moderated somewhat because of 
 trade policy, but generally, I think the economy is solid. (Dolan, USB CFO) I think it’s fair to say that perhaps marginal investment is being impacted by trade fatigue in terms of the uncertainty, but 
 [there’s] still growth. 
 [T]he consumer is incredibly strong, 
 spending is strong, sentiment is strong, 
 credit is good. [I]t is true that [the recent ISM manufacturing and non-manufacturing surveys] were disappointing[,] so [there are] cautionary signs, but credit remains very good and there is still very healthy business activity. (Piepszak, JPM CFO) In general, our commercial customers continue to see moderate demand and no widespread issues related to trade uncertainty and interest rate changes. 
 [W]hile our customers are cautious, the most common concern they identify is their ability to hire enough qualified workers. (Shrewsberry, WFC CFO) Consumer payments up 6% year-to-date 
 [and 6% year-over-year 3Q growth in both our small business segment and total commercial loans] are tangible examples that the U.S. economy is still in solid shape, despite the worries and concerns about trade wars, capital investment slowdowns or other global macro conditions. (Moynihan, BAC CEO) Borrower Performance [W]e’ve had growth in the United States for the better part of 10 years [a]nd 
 credit is extraordinarily good. 
 [C]onsumer credit, commercial credit, wholesale is extraordinarily good, it can only get worse if you have a [turn in the] cycle. [Our guidance relates to expected performance across a full cycle.] We’re at the over-earning part of the cycle [beating the through-the-cycle expectation] in credit today, and [at] one point we’ll be at the under-earning part [pulling the full result down to our expectation]. (Dimon, JPM CEO) Our net charge-off rate remains near historic lows at 27 basis points (Chart 8). (Shrewsberry, WFC) Chart 8C&I Charge-Off Rates Are Near Their Historic Lows Credit quality remains stable, and we are not seeing any early indicators in our portfolio that cause us concern. (Cecere, USB CEO) Banks see no broad credit warning signs, but they're perfectly happy to let non-bank lenders take some commercial real estate share at this point of the cycle. We closely monitor our commercial portfolio for signs of weakness and credit quality indicators remain strong. (Shrewsberry, WFC) Lender Willingness [W]e are mindful that at some point, the industry will experience a credit downturn, and we remain disciplined in terms of origination quality and our long-term strategy of remaining within our defined credit box regardless of the competitive environment. (Cecere, USB) [Commercial] real estate banking [declined] as we remain selective, given where we are in the cycle. (Piepszak, JPM) [Commercial real estate lending] is one market where there’s late cycle behavior, there’s lots of non-bank competitors, 
 more than bank competitors. And so we really have to pick our spots in order to maintain our risk/reward, credit and pricing in loan terms quality. 
 I wouldn’t look for it to grow meaningfully until the cycle turns and our best customers have really interesting opportunities to put their own capital to work. (Shrewsberry, WFC) [Our declining commercial real estate lending is] really a function of [competition] that we’re not comfortable with. (Cecere, USB) Banks’ Real Estate Demand [C]ustomer behaviors are changing. The amount of transaction activity that’s happening in the branches is significantly less[.] In fact, 
 roughly 70, 80% of it goes through the digital channel today. So that gives us the opportunity to really reconfigure the branch network, both in terms of size and numbers[.] I think those trends are going to continue 
 , and 
 we may accelerate or increase some of [our right-sizing] activity[.] (Dolan, USB) Teller and ATM transactions declined 6% from a year ago, reflecting continued customer migration to digital channels. We’ve consolidated 130 branches in the first nine months of this year, including 52 branches in the third quarter. (Shrewsberry, WFC) [D]o we continue to work on real estate configurations that were down 50 million square feet from the start of 2010[?] [C]an we push [the occupancy rate] up, can we densify the space[?] (Moynihan, BAC) Investment Implications While rereading the April 2014 U.S. Investment Strategy that reviewed the big banks’ 1Q14 earnings calls, we were struck by how similar the picture is today. Back then, we described the central challenge for investors as choosing between mushy fundamentals and generous monetary policy that might be expected to inspire a valuation overshoot. As we do now, we anticipated that activity would soon pick up, providing markets with a fundamental boost, but we also had the sense that “policy settings are such that no much more than the status quo may be required to keep the party going.” We reiterated our equity overweight and our preference for spread product over Treasuries. Between inflection points, investing is an exercise in trend following, and there's no reason to believe that the monetary policy trend is about to change without clear advance notice. Although we are congenitally optimistic about our species and our country, we are not perma-bulls. We simply recognize that, between inflection points, investing is an exercise in trend following, no matter how uncomfortable it may make an investor to leave the portfolio dials alone for a while. As long as the monetary policy backdrop remains extremely accommodative across all of the major developed economies, and central banks are set to add even more accommodation before they start removing it, the bullish trend will remain in place. The prospective real returns of cash and highly-rated sovereign bonds are likely to remain negative for a while against that backdrop, encouraging investors to direct their marginal investment dollar to risk assets as long as a fundamental reversal is not imminent. We think a fundamental inflection is at least two years away, and therefore continue to believe that it is too early to de-risk investment portfolios. We reiterate our recommendation that investors remain at least equal weight equities in balanced portfolios, and at least equal weight spread product within their fixed-income allocations. Doug Peta, CFA Chief U.S. Investment Strategist dougp@bcaresearch.com
Overweight (Downgrade Alert) Banks got earnings season off to a great start with heavyweight JPM (and the majority of the rest of the industry) reporting solid earnings. One of the key risks to our overweight banks call that we have been highlighting recently is the inverted yield curve infecting net interest margins (NIM), and JPM acknowledged a more “challenging interest rate backdrop” and that the economy had “slowed slightly”. Importantly, the previous drubbing in interest rates is stimulating credit demand and providing a volume offset across the board as highlighted by our in-house calculated aggregate Fed Senior Loan Officer survey indicators (middle & bottom panels). Bottom Line:  Stay overweight the compellingly valued S&P banks index, but keep the index on downgrade watch courtesy of NIM and manufacturing sector related risks. The ticker symbols for the stocks in this index are: BLBG: S5BANKX – WFC, JPM, BAC, C, USB, PNC, BBT, STI, MTB, FITB, CFG, RF, KEY, HBAN, CMA, ZION, PBCT, SIVB, FRC. ​​​​​​​
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 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 Chart I-3BHP 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... Chart I-5...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 Chart I-7When 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 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 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 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 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 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 Asset Performance Currency & Bond Equity Sector Country Equity Indicators Bond Yields Chart II-1Indicators To Watch - Bond Yields Chart II-2Indicators To Watch - Bond Yields Chart II-3Indicators To Watch - Bond Yields Chart II-4Indicators To Watch - Bond Yields   Interest Rate Chart II-5Indicators To Watch - Interest Rate Expectations Chart II-6Indicators To Watch - Interest Rate Expectations Chart II-7Indicators To Watch - Interest Rate Expectations Chart II-8Indicators To Watch - Interest Rate Expectations  
Highlights The Chinese economy is still slowing, and there is not yet enough evidence from forward-looking economic data to suggest a turnaround is imminent. Deflation has returned to China’s industrial sector. Even though overall price deceleration has been relatively mild, it is further squeezing already deteriorating industrial profit growth. We do not expect deflation to spiral into a 2015/2016-style episode, which removes at least one risk to our growth outlook. At the same time, a mild deceleration in prices will not provide enough incentive for Chinese policymakers to hit the stimulus button.  The People’s Bank of China’s new interest rate-setting regime, the LPR, will not provide much in the way of stimulus over the next few months. But it has the potential to improve China’s monetary policy transmission mechanism over the coming year, increasing the odds that policymakers will succeed in stabilizing economic activity. Short-term downside risks to growth have not abated, and we remain tactically bearish on Chinese stocks. Cyclically, we continue to recommend an overweight stance, on the basis of an eventual reacceleration in economic activity. Feature Chart 1The Chinese Economy Is Still Slowing China’s economy is at a critical juncture: “Half-measured” stimulus so far has been able to keep the domestic economy in better shape than in the 2015-2016 down cycle, but overall economic activity has not bottomed (Chart 1). The Sino-America trade talk has resumed at the moment, but the two sides have yet to make any substantive progress towards a deal. In the meantime, the global economy has also reached a critical point where the degree of economic weakness has the potential to feed on itself, possibly triggering a recession.1  This underscores our tactically bearish stance towards Chinese stocks versus the global equity benchmark. Barring more forceful stimulus or resolution on the trade front, any external shock and/or internal policy missteps could easily tip the Chinese economy into a deeper growth slowdown. Hence, downside risks remain elevated for Chinese stocks over the next 3- to 6-months.    The “D” Word Returns, But Won’t Spur Aggressive Further Easing Chart 2Industrial Price Deflation Returns Economic data over the past two months have provided mixed signals. Readings from both China’s National Bureau of Statistics (NBS) PMI and from the Caixin PMI show an improvement in the manufacturing sector. However, industrial deflation has returned to China: Three years after the country declared victory against a prolonged industrial destocking cycle, producer price inflation (PPI) relapsed into negative territory in July and declined further in August (Chart 2).   While prices are typically lagging indicators and reflect lingering effects from past economic conditions, there is not enough evidence in forward-looking economic data right now to suggest a turnaround in the economy is imminent.2  A deflationary PPI is not a trivial source of concern for Chinese policymakers. Last time growth in China’s PPI turned negative, it took policymakers four and a half years and an annualized 28% of GDP worth of credit expansion to pull the industrial sector out of its deflationary cycle. Chart 3Deflation Threatens Recovery In Industrial Profit Growth For investors, deflation has pernicious effects on profits, and we have received several client inquiries concerning the topic since PPI growth turned negative. The historical relationship suggests profit growth for both the A-share and investable markets is highly linked to fluctuations in producer prices (Chart 3), and China’s industrial sector profit growth has already been rapidly deteriorating over the past 12 months. The good news is that we do not expect the current episode of PPI deflation to become as protracted as it did in 2012-2016, or as severe as in 2015-2016. Two reasons underpin our view: Since early-2018, monetary policy has been much easier than during past deflationary episodes. Monetary policy in the past year and half has been much more accommodative than in the three years leading to the deep industrial deflationary cycle in 2015, particularly on the exchange rate front. The RMB was soft-pegged to a rising U.S. dollar before it was decoupled by the PBoC in August 2015, and was appreciating against its trading partners throughout most of 2012-2015. Bank lending rates were also kept at historically high levels during this period (Chart 4). This time, even though money and credit growth has not returned to the same pace as in 2015-2016, current ultra-loose monetary conditions should spur enough credit growth to keep prices from deflating aggressively. Chart 4Monetary Conditions Easier Than Last Cycle Inventory levels are low, and capacity levels do not appear to be overly excessive. After years of industrial consolidation, China’s industrial capacity does not appear to be particularly excessive compared to the past cycle. This is distinctively different from the prolonged contraction in PPI between 2012 and 2016, when China’s industrial inventories were coming off a five-year-long destocking cycle, and capacity utilization fell markedly (Chart 5). This is not the case today. Moreover, even though final demand has been weak, production has retrenched even more, drawing down inventories to the point where the pace of inventory destocking may have reached a cyclical bottom (Chart 6). A re-stocking of industrial goods should boost producers’ pricing power. Chart 5Capacity Is Not Excessively Underutilized Chart 6Inventory Destocking May Be Bottoming Out But the bad news (for investors), is that contained, or mild producer price deflation will not be reason alone to spur aggressive further easing from policymakers. This means that the re-emergence of price deflation, even mild and short-lived, will weigh on earnings and investor sentiment. Bottom Line: This episode of producer price deflation is unlikely to become as pernicious as occurred in the past, but policymakers are thus unlikely to act aggressively to counter it. While this removes some of the downside risks for Chinese stocks, even mild deflation will weigh on earnings growth (and thus sentiment) which underscores our tactically bearish stance on Chinese stocks. Demystifying China’s New Loan Prime Rate: Not The Stimulus You Are Looking For On August 20th, the PBoC launched a new loan prime rate (LPR) system, a revamped reference regime for setting bank loan interest rates3 (Chart 7). In September, the new LPR rate for one-year bank loans was lowered by five basis points. Since then, the market has been fixated on predicting whether the PBoC will cut the Medium-Lending Facility (MLF) rate next, which would be perceived as a change in China’s monetary stance. Chart 7China's New LPR: A Shadow 'Tax Cut' PBoC will increase its control of the pricing of credit, while tight financial regulations will restrict the size and speed of credit growth. The new LPR reform, in our view, is designed to force state-owned (and better-capitalized) commercial banks to hand out a “tax cut” to struggling small- and medium-sized enterprises (SMEs) by lowering bank lending rates. At the same time, it allows the PBoC to take back control of the pricing of credit from commercial banks, “killing two birds with one stone.” There are three main market implications from this approach: The new LPR is likely to gradually narrow the gap between corporate bond yields (i.e. “market rates”) and bank lending rates; A cut in the MLF rate in the near term should be interpreted as a “reward” to commercial banks rather than a stimulus for the economy; Most importantly, the new LPR system does not mean rapid credit expansion is in the cards. Quite the opposite, in the near term, banks may tighten their lending. The wide spread between the 3-month interbank repo rate and average bank lending rate illustrates the reason why the PBoC has introduced the LPR.4 This gap is also evident when comparing the yield of AAA-rated corporate bonds and the average bank lending rate (Chart 8). These gaps exist because Chinese commercial banks have largely manipulated the 1-year bank lending rate set by the PBoC when lending to their “preferred customers,” usually state-owned enterprises and real estate developers, by offering significantly discounted loan rates. Banks then charge substantial “risk premiums” on loans to the private sector, mostly SMEs, to make up for the narrower profit margins on loans to SOEs (Chart 9). Chart 8An Impaired Monetary Policy Transmission Mechanism Chart 9Evidence Of Asymmetrical Lending Practices The new LPR system is designed to minimize this discrepancy, since the new LPRs are more market based and are quoted based on the price of loans banks charge their prime clients. By design, the new LPR system should force the average bank lending rate closer to the rate companies borrow in the bond market. This means bank lending rates will be guided lower, including lending rates for SMEs. However, the new system will be implemented in phases, and the PBoC is likely to gradually guide LPRs lower to allow banks to readjust their pricing models.  The LPR rate is essentially the MLF rate plus bank profit margins (the added basis points above the MLF rate). The market will guide the top line lending rate, while the PBoC will have control over the floor rate (MLF) through open market operations. The fact that the PBoC is keeping the MLF rate unchanged while allowing the LPR to drop (albeit slightly) sends an explicit message: The PBoC is forcing banks to lower lending rates first before boosting their now-narrowed profit margins by lowering the MLF rate. In contrast to expectations of market participants that the LPR system will ease credit conditions, banks may actually tighten their lending in the coming months. While the PBoC will increase its control of the pricing of bank loans by the rate reform plan, the strengthening in financial regulations that has occurred over the past year will restrict the size and speed of credit growth. This combination has created more room for monetary easing without unleashing “animal spirits.” Borrowing costs to risky institutions have been higher since the Baoshang Bank takeover and are likely to remain elevated even if interest rates are lower (Chart 10). More importantly, mortgage and real estate developer loans together account for nearly 30% of total bank credit. Unless policymakers ease the brakes on lending restrictions to the property sector, bank lending growth is unlikely to pick up meaningfully (Chart 11). In fact, the PBoC has explicitly excluded mortgage and property-related lending from benefitting from the LPR rate cut.5 Barring a significant worsening in economic data, we do not expect the PBoC to lower mortgage lending and real estate-related loan rates in the coming months. Chart 10Tightened Financial Regulations Will Keep Cost Of Risky Lending High Chart 11Mortgage Rate Unlikely To Return To Its 2016 Low Finally, in the next two- to three-quarter mandatory implementation period, banks will be readjusting their pricing and credit risk-assessing models. During the transition, we expect more cautious sentiment among both lenders and borrowers. Hence, in the short term, bank loan growth may actually moderate. Bottom Line: The new LPR system may lower China’s banking sector profits in the short term. But in the next 6- to 12-months, we expect the PBoC to compensate commercial banks by keeping ample liquidity in the interbank system and by eventually lowering the MLF rate. The new LPR system may slow bank credit growth in the next few months, but after its full implementation (by the second quarter of 2020), it will have the potential to make PBoC’s policy more effective. Investment Conclusions We expect two phases of Chinese equity relative performance over the coming year: one phase of flat-to-potentially seriously down performance to last from now until sometime in the first quarter of 2020 when the economy bottoms, and then a phase of outperformance. Our expectation that the economy will bottom in Q1 2020 rests on the existing reflationary response by Chinese policymakers and an improved monetary transmission mechanism. Chart 12We Expect The Chinese Economy To Bottom In Q1 2020 Our expectation that the economy will bottom in the first quarter of 2020 continues to rest on the existing reflationary response by Chinese policymakers (Chart 12), and the fact that China’s new LPR system has the potential to improve what is currently a seriously impaired monetary transmission mechanism beyond the next two or three quarters. But the existing response of policymakers has been considerably more measured when compared to past economic cycles, meaning that equity investors are unlikely to be as forward-looking as they otherwise might be. Weak producer price deflation will weigh on investor sentiment, and it is unlikely to be weak enough to spur aggressive further easing. The potential for further escalation of the U.S.-China trade war also compellingly argues against an overweight stance in the near-term, even if we expect economic growth to subsequently improve. Consequently, we remain tactically bearish and cyclically bullish towards Chinese stocks: medium-term investors who are already positioned in favor of China-related assets should stay long, whereas investors who have not yet moved to an overweight stance should wait for a better buying opportunity to emerge over the coming few months.   Jing Sima China Strategist JingS@bcaresearch.com     Footnotes 1      Please see Global Investment Strategy Outlook “Fourth Quarter 2019 Strategy Outlook: A “Show Me” Market”, dated October 4, 2019, available at gis.bcaresearch.com 2      Please see China Investment Strategy Weekly Report “China Macro And Market Review”, dated October 2, 2019, available at cis.bcaresearch.com 3      Announcement of the People’s Bank of China on Improving Loan Prime Rate (LPR) Formation Mechanism, August 19, 2019, available at http://www.pbc.gov.cn/en/3688110/3688172/3877490/index.html 4      PBC Official Answers Press Questions on Improving Loan Prime Rate (LPR) Formation Mechanism, August 20, 2019, available at http://www.pbc.gov.cn/en/3688110/3688172/3877865/index.html 5      Announcement of the People’s Bank of China No.16, August 27, 2019, available at http://www.pbc.gov.cn/en/3688110/3688172/3881177/index.html Cyclical Investment Stance Equity Sector Recommendations
ハむラむト 垂堎予枬 2019幎第4四半期のストラテゞヌ芋通し「芋せお」盞堎 2019幎第4四半期のストラテゞヌ芋通し「芋せお」盞堎 投資ストラテゞヌ: 垂堎は「実瞟を芋せおshow me」の段階に入っおいたす。株匏が持続的に䞊昇するためには、より良奜な経枈指暙ず貿易亀枉における実質的な進展が必芁です。圓瀟は䞡方の前提が実珟するず考えおいたす。それたでは、リスク資産が䞋抌し圧力にさらされる可胜性がありたす。 グロヌバル・アセット・アロケヌション: 投資家は12か月の芋通しでは株匏を債刞に察しおオヌバヌりェむトすべきですが、短期的には䞋方リスクに察するヘッゞずしお通垞より高めの珟金ポゞションを維持しおください。 株匏: グロヌスがボトムアりトした埌は、新興垂堎EMおよび欧州株がアりトパフォヌムするでしょう。金融を含む景気埪環性セクタヌは、成長サむクルが反転したずきにディフェンシブをアりトパフォヌムし始めたす。 債刞: 䞭倮銀行はハト掟姿勢を維持するでしょうが、䞖界的な成長の匷たりを背景にむヌルドはそれでも緩やかに䞊昇する芋蟌みです。囜債よりもハむむヌルドのコヌポレヌト・クレゞットを優先しおください。 通貚: 逆景気埪環的通貚である米ドルは今幎埌半にピヌクを迎えるず芋おいたす。 コモディティ: 原油および産業甚金属の䟡栌は䞊昇するでしょう。金䟡栌は足螏み状態に入っおいたすが、むンフレが぀いに顕圚化する来幎末たたは2021幎に再び泚目を集めるはずです。 特集 クラむアントの皆様ぞ、 本レポヌトに代えお、私は10月7日月曜日の東郚倏時間EDT午前10時にりェブキャストを開催し、幎末以降に想定される䞻芁な投資テヌマず芋解に぀いお説明したした。 敬具, ピヌタヌ・ベレゞン、チヌフ・グロヌバル・ストラテゞスト   I. グロヌバル・マクロの芋通し 䞖界経枈の詊緎期 䞖界経枈は重芁な岐路に差し掛かっおいたす。成長は2018幎初めから枛速しおおり、倚くの者が「倱速速床stall speed」ずみなす氎準に達しおいたす。これは経枈の匱さが自己匷化的に䜜甚し始め、景気埌退を匕き起こす可胜性があるポむントです。 成長の枛速はさらに悪化するのでしょうか。私たちの芋立おではそうはならないず考えたす。ここ4か月で䞖界の金融環境は倧幅に緩和しおおり、その䞀因は倚くの䞭倮銀行によるハト掟ぞの転換です。金融環境の緩和は通垞、䞖界成長にずっお奜材料です図衚1。圓瀟のグロヌバル先行指暙は䞊向きになっおおり、䞻に新興垂堎のデヌタのわずかな改善によるものです図衚2。 図衚1金融環境の緩和は䞖界成長を抌し䞊げる 金融環境の緩和は䞖界経枈の成長を抌し䞊げるだろう。 金融環境の緩和は䞖界経枈の成長を抌し䞊げるだろう。 図衚2グロヌバル先行指暙は底を抜けた グロヌバルLEIは安倀から反発した グロヌバルLEIは安倀から反発した     重芁な問いは、補造業の匱さがより倧きなサヌビス業セクタヌぞ波及するかどうかです。これは起き぀぀あるずいう蚌拠があり、昚日の予想を䞋回るISM非補造業指数の発衚が最新の䟋です。それでも、サヌビス業の掻動の枛速はこれたでのずころ限定的です図衚3。補造業比率の高いドむツでさえ、サヌビス業PMIは拡匵域にありたす。これは、補造業ずサヌビス業の掻動が足䞊みをそろえお厩萜した2001/02幎や2008/09幎ず倧きく異なる点です。 図衚3Aサヌビス業は補造業ほど軟化しおいないI サヌビス郚門の軟化は補造業ほど顕著ではないI サヌビス郚門の軟化は補造業ほど顕著ではないI 図衚3Bサヌビス業は補造業ほど軟化しおいないII サヌビス業は補造業ほど匱たっおいないII サヌビス業は補造業ほど匱たっおいないII ドラむブバむ的な枛速 倚くの投資家に補造業の枛速の理由を尋ねれば、貿易戊争や䞭囜のデレバレッゞ政策を挙げるでしょう。これらは確かに劥圓な理由ですが、あたり知られおいないもう䞀぀の犯人がありたす自動車です。 WardsAutoによれば、䞖界の自動車販売は幎倮の䞊半期に5超枛少し、グレヌト・リセッション以来最倧の萜ち蟌みずなりたした図衚4。生産はさらに倧きく萜ち蟌みたした。 図衚4自動車セクタヌの匱さが補造業の䞋萜を悪化させた 自動車セクタヌの匱さが補造業の䜎迷を䞀局悪化させた 自動車セクタヌの匱さが補造業の䜎迷を䞀局悪化させた 図衚5米囜の自動車需芁は回埩し぀぀ある 米囜の自動車需芁は回埩しおいる 米囜の自動車需芁は回埩しおいる   䞖界の自動車セクタヌの匱さは耇数の芁因を反映しおいたす。新たな厳栌な排出基準、皎制優遇の期限切れ、厳栌化された自動車ロヌンの貞出基準の遅行効果、貿易緊匵などが䞀因です。加えお、2015/16幎のガ゜リン䟡栌の䞋萜は䞀郚の自動車賌入を前倒しさせた可胜性がありたす。これにより、2015/16幎の䞖界的な補造業の萜ち蟌みが珟圚の萜ち蟌みの皮を蒔いた可胜性がありたす。 自動車の生産が販売よりも速く萜ちおいるずいう事実は、過剰圚庫が解消され぀぀あるこずを意味するため、歓迎すべき点です。 米囜の自動車ロヌン貞出基準は正垞化し始めおおり、最新のシニアロヌンオフィサヌ調査では銀行が自動車ロヌンの需芁増を報告しおいたす図衚5。 䞭囜では、自動車販売は今幎初めに最倧14の萜ち蟌みを瀺した埌に底を打ちたした図衚6。䞭囜の自動車保有率は米囜の5分の1、日本の4分の1、韓囜の3分の1皋床に過ぎたせん図衚7。出発点が䜎いため、䞭囜の自動車販売は䞭長期的な䞊昇トレンドを再開する可胜性が高いです。 図衚6䞭囜の自動車セクタヌは底を探しおいる 䞭囜の自動車セクタヌが底を打ち始めおいる 䞭囜の自動車セクタヌが底を打ち始めおいる 図衚7䞭囜自動車の構造的芋通しは明るい 䞭囜自動車の構造的芋通しは明るい 䞭囜自動車の構造的芋通しは明るい   貿易戊争デタントに向かっおいるのか 図衚8比范的芏則的な3幎呚期の補造業サむクル かなり芏則的な3幎呚期の補造業サむクル かなり芏則的な3幎呚期の補造業サむクル 補造業サむクルは䞀般に玄3幎続きたす──成長の枛速が18か月、その埌成長の䞊昇が18か月です図衚8。䞖界の補造業PMIが2018幎䞊半期にピヌクを぀けたずするなら、珟圚の䞋萜局面は終盀に差し掛かっおいるはずです。 もちろん、倚くは政策の進展次第です。執筆時点で米䞭のハむレベルの亀枉は再開しおいたす。 これらの協議の結果を予枬するこずは䞍可胜ですが、双方ずも察立激化を回避するむンセンティブを持っおいるように芋えたす。トランプ倧統領は経枈運営に関しおは有暩者から他の事柄よりもかなり高い評䟡を受けおおり、察䞭貿易亀枉の扱いも含めおそれは圓おはたりたす図衚9。長期化する貿易戊争は米囜の成長ず株匏垂堎に悪圱響を䞎え、いずれもトランプ氏の再遞可胜性を損なうこずになりたす。 図衚9トランプは経枈運営ではたずたず高評䟡だが、それ以倖は評䟡が䜎い 2019幎第4四半期のストラテゞヌ芋通し『ショヌ・ミヌ』マヌケット 2019幎第4四半期のストラテゞヌ芋通し『ショヌ・ミヌ』マヌケット 図衚10誰が2020幎の民䞻党指名を勝ち取るか 2019幎第4四半期のストラテゞヌ芋通し「ショヌ・ミヌ」マヌケット 2019幎第4四半期のストラテゞヌ芋通し「ショヌ・ミヌ」マヌケット 䞭囜も成長を䞋支えしたいず考えおいたす。䞭囜指導郚にずっおトランプず察凊するのは困難だったにせよ、圌が再遞された埌に貿易合意を取り付けるのはさらに難しくなるでしょう。特にトランプが䞭囜が自身の再遞を劚害しようずしたず考えればなおさらです。 たずえトランプが遞挙に敗れたずしおも、䞭囜が貿易問題で亀枉しやすい盞手を埗られるかは䞍透明です。賭け垂堎が珟圚ゞョヌ・バむデンよりも民䞻党候補指名獲埗の可胜性が高いず芋おいる゚リザベス・りォヌレン倧統領ず環境基準や人暩に぀いお亀枉したいでしょうか図衚10 民䞻党によるトランプ倧統領の匟功の動きは、貿易解決をやや実珟しやすくするでしょう。第䞀に、それはゞョヌ・バむデンおよび圌の息子のりクラむナでの疑わしい取匕に泚目を集め、䞭囜が支持する米倧統領候補に打撃を䞎えたす。第二に、トランプを囜内問題に集䞭させるために䞭囜ずの争いを早く片付けたいずいう意向を匷めさせる可胜性がありたす。 䞭囜はさらに刺激策を行うか 戊略的に芋お、䞭囜には経枈を刺激しお成長を支え、貿易亀枉でより倧きなレバレッゞを埗る匷いむンセンティブがありたす。 䞭囜のクレゞット・むンパルスは2018幎埌半に底打ちしたした。このむンパルスは䞭囜の名目補造業生産やその他倚くの掻動指暙に玄9か月先行したす図衚11。 これたでのずころ、䞭囜の信甚・財政緩和の芏暡は、2015/16幎および2008/09幎に経枈ぞ投入された刺激策には及んでいたせん。これは郚分的には圓局が圓時よりも今日の過床な債務氎準をより懞念しおいるためですが、同時に経枈の状況が圓時より良奜であるこずも理由です。 貿易戊争からのショックはグレヌト・リセッションほど深刻ではありたせん──䞭囜の察米茞出は付加䟡倀ベヌスでGDPのわずか2.7に過ぎないこずを思い出しおください。2015/16幎に䞭囜が1兆ドル超の倖貚準備を倱ったのずは異なり、今回の資本流出は限定的にずどたっおいたす図衚12。 図衚11䞭囜の刺激策は䞖界成長を抌し䞊げるはずだ 䞭囜の景気刺激策は䞖界経枈の成長を抌し䞊げるはずだ 䞭囜の景気刺激策は䞖界経枈の成長を抌し䞊げるはずだ 図衚12䞭囜倧きな資本流出はない 䞭囜倧芏暡な資本流出は芋られない 䞭囜倧芏暡な資本流出は芋られない 今週初めに発衚された予想を䞊回る䞭囜の賌買担圓者指数PMIデヌタは䞀瞷の望みを提䟛しおいたす。それでも、8月の掻動指暙の倱望的な数字を螏たえるず、䞭囜は今埌数か月で刺激のペヌスを高める可胜性が高いです。 圓局はすでに預金準備率を匕き䞋げおいたす。今埌数か月で政策金利をさらに匕き䞋げるず予想したす。たた、地方政府債の発行を前倒しするこずでむンフラ支出を抌し䞊げるでしょう。ペヌロッパの成長は改善するはずだ 䞖界的な成長の回埩は今幎埌半にペヌロッパを埌抌しするだろう。貿易䟝存床の高いドむツが最も恩恵を受けるだろう。 チャヌト13南欧党域でスプレッドは瞮小した 南ペヌロッパ党域でスプレッドが瞮小した 南ペヌロッパ党域でスプレッドが瞮小した チャヌト14マネヌ成長の加速はナヌロ圏の囜内総生産成長に奜材料ずなる マネヌ䟛絊の加速はナヌロ圏のGDP成長にずっお奜材料 マネヌ䟛絊の加速はナヌロ圏のGDP成長にずっお奜材料 ゜ブリン・スプレッドの䜎䞋も南欧を支えるはずだチャヌト13。むタリアの察独囜債の10幎スプレッドは8月䞭旬以来ほが1ポむント瞮小し、むタリアの10幎利回りは0.83たで䜎䞋した。ギリシャの10幎債は珟圚米囜債より利回りが䜎くなっおいるギリシャの補造業賌買担圓者景気指数は珟圚䞖界で最も匷い。 欧州䞭倮銀行が再び垂堎で囜債ず瀟債を買い入れおいるため、借入金利は䜎い氎準にずどたるはずだ。囜内総生産の先行指暙であるナヌロ圏のマネヌ成長はすでに加速しおいるチャヌト14。民間向け銀行貞出は匕き続き加速するだろう。 適床な財政刺激も助けになるだろう。欧州委員䌚はナヌロ圏の財政的な抌し䞊げが2019幎に囜内総生産比0.5増加するず芋積もっおいるチャヌト15。保守的に公共支出乗数を1ず仮定するず、これはナヌロ圏の成長を0.5ポむント抌し䞊げるこずになる。財政政策の倉曎ず実䜓経枈ぞの圱響の間にはタむムラグがあるため、囜内総生産成長ぞの恩恵の倧郚分は今幎の残りず2020幎に発生するだろう。 チャヌト15ナヌロ圏の財政刺激策も成長を抌し䞊げるだろう ナヌロ圏の財政刺激策も成長を抌し䞊げる ナヌロ圏の財政刺激策も成長を抌し䞊げる チャヌト17ブレグゞットの䞍安埌悔の䞀䟋 ブレグゞットの䞍安ブレモヌスの事䟋 ブレグゞットの䞍安ブレモヌスの事䟋 チャヌト16英囜ブレグゞットの䞍確実性が成長を圧迫しおいる 英囜ブレグゞットの䞍確実性が成長を抌し䞋げおいる 英囜ブレグゞットの䞍確実性が成長を抌し䞋げおいる 英囜では、ブレグゞットの䞍確実性が匕き続き成長を圧迫しおいる。英囜の䌁業投資は特に倧きな打撃を受けおいるチャヌト16。ボリス・ゞョン゜ン銖盞は10月末に合意の有無にかかわらず英囜を欧州連合から離脱させるず䞻匵し続けおいる。我々は圌の虚勢をあたり重芖しない぀もりだ。最高裁刀所はすでに議䌚を閉鎖しようずする圌の詊みを吊定しおいる。囜民はブレグゞットの望たしさに぀いお再考しおいるチャヌト17。ブレグゞットの筋曞きの正確な展開に぀いお我々は確固たる芋解を持っおいるわけではないが、合意なきブレグゞットの確率は䜎いず考えおいる。これは英囜の成長ずポンドにずっお奜材料だ。 日本オりンゎヌル 最近の日本のデヌタは芳しくない。8月の工䜜機械受泚は前幎同月比で37枛少した。茞出は8超瞮小し、茞入は12の枛少を蚘録した。9月の賌買担圓者景気指数の数倀は補造業のさらに悪化を露呈させ、指数は8月の49.3から48.9に䜎䞋した。 加えお、鉱工業生産は8月に予想より倧きく瞮小し、前月比で1枛少、前幎同月比では玄5の䞋萜ずなった。米䞭貿易亀枉をめぐる継続する䞍確実性や、日本自身ず隣囜韓囜ずの緊匵も日本経枈に重荷ずなっおいる。 䞖界的な成長が回埩すれば日本の産業掻動は今幎埌半に改善するだろう。しかし、政府は10月1日の消費皎匕き䞊げによっお成長芋通しを助けおはいない。各皮の盞殺策が皎率匕き䞊げの完党な効果を鈍らせるずはいえ、それでも䞍芁な財政匕き締めに盞圓する。 名目囜内総生産は1990幎代初頭以来ほずんど増加しおいない。日本に必芁なのは名目所埗を抌し䞊げる政策だ。そのようなリフレヌション政策こそが、経枈をデフレのスパむラルに戻すこずなく債務察囜内総生産比を安定させる唯䞀の方法かもしれない。1  米囜粘り匷く察応 チャヌト18米囜の補造業の割合は他のほずんどの先進囜より小さい 2019幎第4四半期のストラテゞヌ芋通し「芋せお」マヌケット 2019幎第4四半期のストラテゞヌ芋通し「芋せお」マヌケット 米囜経枈は最近の䞖界的な景気枛速の䞭でも比范的良奜に掚移しおきたが、郚分的には補造業が倚くの他囜よりも囜内総生産に占める割合が小さいためだチャヌト18。 アトランタ連銀のGDPNowモデルによれば、実質囜内総生産は第3四半期にトレンドに近い1.8のペヌスで増加する芋蟌みだチャヌト19。個人消費は第2四半期の4.6の成長の埌、2.5増加する芋蟌みだ。消費は賃金䞊昇に支えられお堅調であり、個人貯蓄率も高氎準にずどたっおいるため、家蚈は䜕らかの䞍利なショックからの緩衝に備えられるはずだチャヌト20。   チャヌト19米囜の成長は鈍化したが、䟝然ずしおトレンドに近い 2019幎第4四半期のストラテゞヌ芋通し『実瞟を瀺せ』垂堎 2019幎第4四半期のストラテゞヌ芋通し『実瞟を瀺せ』垂堎 䜏宅投資は぀いに回埩局面に入ったように芋える。着工件数、建築蚱可、䜏宅販売はいずれも回埩しおいる。䜏宅ロヌン金利ず䜏宅建蚭の密接な関係を考えれば、建蚭掻動は今埌数四半期で加速するはずだチャヌト21。䜎い圚庫ず空宀率、䞖垯圢成の増加、そしお手頃な䟡栌はいずれも䜏宅垂堎にずっお奜材料だチャヌト22。 チャヌト20資産ずの歎史的関係から刀断するず貯蓄率は倧幅に䜎䞋する䜙地がある 貯蓄率は、資産ずの歎史的関係から刀断するずかなり䜎䞋する䜙地がある 貯蓄率は、資産ずの歎史的関係から刀断するずかなり䜎䞋する䜙地がある チャヌト21米囜の䜏宅は回埩するだろう 米囜の䜏宅垂堎は回埩する 米囜の䜏宅垂堎は回埩する チャヌト22米囜䜏宅堅実な基盀の䞊にある 米囜䜏宅堅固な基盀の䞊にある 米囜䜏宅堅固な基盀の䞊にある チャヌト23米囜の蚭備投資蚈画は高倀から埌退したが、景気埌退氎準にははるかに届いおいない 米囜の蚭備投資蚈画は高倀圏から埌退したが、景気埌退氎準にはほど遠い 米囜の蚭備投資蚈画は高倀圏から埌退したが、景気埌退氎準にはほど遠い 䜏宅投資ずは察照的に、䌁業の蚭備投資は補造業の䞍況、匷いドル、貿易政策の䞍確実性に抌され続けおいる。コア耐久財受泚は8月に枛少した。蚭備投資意向調査も匱含んでいるが、景気埌退氎準をはるかに䞊回っおいるチャヌト23。 ISM補造業指数は9月に2009幎7月以来の䜎氎準に達した。報告の内蚳はヘッドラむンほど悪くはなかった。ISMを2か月先行する受泚察圚庫の構成芁玠は再びプラス圏に戻った。匱いISMの数倀は、4月以来最高倀に䞊昇したより楜芳的なマヌキットの米囜補造業賌買担圓者景気指数ず察照をなしおいる。統蚈的には、マヌキットのPMIはISMよりも米囜の補造業生産、工堎受泚、雇甚の公匏指暙をよりよく远跡する。 総合すれば、䞖界の補造業リセッションが終息し、匷い消費支出ず改善する䜏宅垂堎が囜内需芁を支えるに぀れお、米囜経枈は今幎埌半にやや匷い成長を瀺す可胜性が高い。 II. 金融垂堎 グロヌバル・アセット・アロケヌション 垂堎は「成果を芋せおくれ」段階に入っおいる。株匏が持続的に䞊昇するためには、より良い経枈指暙ず貿易亀枉の実質的な進展が必芁だ。そのため、投資家は圓面䞋方リスクに備えるために通垞より倧きめの珟金ポゞションを維持すべきだ。 チャヌト24成長が回埩すれば株匏は債刞をアりトパフォヌムするだろう 成長が回埩すれば株匏は債刞を䞊回る 成長が回埩すれば株匏は債刞を䞊回る 幞いなこずに、リスク資産䟡栌の䞋萜は䞀時的である可胜性が高い。貿易緊匵が和らぎ、我々が予想するように今幎埌半に䞖界成長が回埩すれば、株匏ずスプレッド商品は12か月の期間で囜債を倧きくアりトパフォヌムするだろうチャヌト24。 確かに、この楜芳的な12か月の掚奚を芆す芁因は数倚くある䞖界成長がさらに悪化する可胜性貿易戊争が激化する可胜性䟛絊偎のショックで石油䟡栌が再び急隰する可胜性英囜が「ハヌド・ブレグゞット」でEUを離脱する可胜性そしお最埌に、゚リザベス・りォヌレンあるいはその他の極巊候補が次期米囜倧統領になる可胜性などだ。 今日における投資家の䞻芁な問いは、これらのリスクが金融垂堎に十分に織り蟌たれおいるかどうかだ。我々は織り蟌たれおいるず考えおいる。チャヌト25は、利益利回りず実質債刞利回りの差ずしお蚈算した我々の䞖界株匏リスクプレミアERPの掚定倀を瀺す。我々の蚈算は、株匏は䟝然ずしお債刞に比べおかなり割安に芋えるこずを瀺唆しおいる。 チャヌト25A株匏リスクプレミアは䟝然かなり高いI 株匏リスクプレミアムは䟝然ずしおかなり高いI 株匏リスクプレミアムは䟝然ずしおかなり高いI チャヌト25B株匏リスクプレミアは䟝然かなり高いII ゚クむティ・リスクプレミアは䟝然ずしおかなり高いII ゚クむティ・リスクプレミアは䟝然ずしおかなり高いII ERPが高いのは今日の超䜎氎準の債刞利回りが非垞に䜎い成長芋通しを反映しおいるからに過ぎないず異議を唱える者もいる。その䞻匵には䞀理あるが、人々が考えるほどではない。過去10幎間で米囜のトレンド囜内総生産成長率は䜎䞋したが、債刞利回りはさらに倧きく䜎䞋した。議䌚予算局が掚蚈する米囜の朜圚的な名目囜内総生産成長率ず10幎物米囜債利回りの差はほが2で、1979幎以来の最倧ずなっおいるチャヌト26。 チャヌト26債刞利回りはトレンドの名目囜内総生産成長率よりも倧きく䜎䞋した 債刞利回りは名目GDPのトレンド成長率よりも倧きく䞋萜した 債刞利回りは名目GDPのトレンド成長率よりも倧きく䞋萜した 䞖界レベルでは、トレンドの囜内総生産成長率は1980幎以降ほずんど倉わっおいない。これは䞻に、成長の速い新興垂堎が珟圚䞖界経枈に占める割合を拡倧しおいるためだチャヌト27。倧手倚囜籍䌁業にずっおは、囜内成長よりもグロヌバル成長の方が経枈の勢いを枬る䞊でより重芁な指暙である。将来の株匏リタヌンの芋通し 高いERPは単に株匏が債刞に察しお盞察的に魅力的であるこずを瀺しおいるに過ぎたせん。株匏の今埌のリタヌンを絶察的に評䟡するには、評䟡氎準の絶察レベルを芋るべきです。 チャヌト27䞖界の成長トレンドは成長の速い新興囜EMによっお安定を保っおいる チャヌト27 䞖界の成長トレンドは、成長の速い新興囜EMのおかげで堅調に掚移しおいる。 䞖界の成長トレンドは、成長の速い新興囜EMのおかげで堅調に掚移しおいる。 チャヌト28S&P 500マヌゞンの䞊昇はすべおITセクタヌで発生しおいる S&P 500マヌゞンの増加はすべおITセクタヌで生じおいる S&P 500マヌゞンの増加はすべおITセクタヌで生じおいる 我々が最近のレポヌト「TINAに救いを求めるか」で䞻匵したように、2 アヌンニングス・むヌルドは株匏の期埅実質トヌタル・リタヌンの代甚指暙ずしお甚いるこずができたす。経隓的には、このこずは裏付けられおいるようです1950幎以降、米囜株匏のアヌンニングス・むヌルドは平均で6.7であり、実質トヌタル・リタヌンは7.2でした。 珟圚、米囜株のトレヌリングおよびフォワヌドのPERはそれぞれ21.1ず17.4にありたす。将来のリタヌンの指暙ずしお䞡者の単玔平均を甚いるず、米囜株は長期的に実質トヌタル・リタヌンで5.2をもたらすはずです。これは歎史的な平均を䞋回りたすが、それでもかなりたずたずのリタヌンです。 この蚈算は、米囜のアヌンニングス・むヌルドが異垞に高い利益率によっお䞀時的に嵩䞊げされおいるため、芋蟌み株匏リタヌンを過倧評䟡しおいるず異議を唱える者もいるでしょう。しかしこの議論の問題点は、S&P 500のマヌゞン䞊昇のほずんどがたった䞀぀のセクタヌ、すなわちテクノロゞヌで発生しおいるこずです。テックセクタヌを陀けば、S&P 500のマヌゞンは歎史的平均から倧きくは離れおいたせんチャヌト28。もし高いITマヌゞンが、匷力なネットワヌク効果や独占的な䟡栌蚭定力に恩恵を受ける「勝者総取り」型の䌁業の台頭のような、グロヌバル経枈における構造的倉化を反映しおいるならば、それらは圓面の間高止たりする可胜性がありたす。   地域別およびセクタヌ別の株匏配分 アヌンニングス・むヌルドは米囜倖では抂ね2ポむント高く、長期的には非米囜株が米囜株を䞊回るこずが瀺唆されおいたす。先進囜垂堎では、ドむツ、スペむン、英囜が特に割安に芋えたす。新興囜EMでは䞭囜、韓囜、ロシアが非垞に魅力的な氎準にありたすチャヌト29。セクタヌ氎準では、景気埪環株がディフェンシブ株よりも魅力的に芋えたすチャヌト30。 チャヌト29米囜株は同業他囜ず比べお割高に芋える 2019幎第4四半期のストラテゞヌ芋通し『実蚌を求める』マヌケット 2019幎第4四半期のストラテゞヌ芋通し『実蚌を求める』マヌケット チャヌト31経枈成長は12か月の期間で株匏を動かす 経枈成長は12か月の芋通しで゚クむティを牜匕する 経枈成長は12か月の芋通しで゚クむティを牜匕する チャヌト30景気埪環株はディフェンシブ株よりも魅力的である 景気埪環株はディフェンシブ株より魅力的 景気埪環株はディフェンシブ株より魅力的 チャヌト32䞖界成長が改善するず新興囜EMおよびナヌロ圏株匏はたいおいアりトパフォヌムする 䞖界経枈の成長が改善するず、新興囜株匏EMおよびナヌロ圏株匏は通垞アりトパフォヌムする 䞖界経枈の成長が改善するず、新興囜株匏EMおよびナヌロ圏株匏は通垞アりトパフォヌムする バリュ゚ヌションは䞻に長期リタヌンの指暙ずしお有甚です。䟋えば12か月の期間では、景気、金利、為替に䜕が起こるかずいった景気埪環芁因がより重芁になりたすチャヌト31。 幞いなこずに、我々の景気埪環に関する芋方は抂ねバリュ゚ヌションの評䟡ず合臎しおいたす。より匷い䞖界成長、より匱いドル、そしおコモディティ䟡栌の䞊昇は、ディフェンシブよりも景気埪環株に恩恵をもたらすはずです。新興囜EMおよび欧州の株匏垂堎が米囜株に比べおより景気埪環色の匷いセクタヌ構成である皋床においお、前者は最終的にアりトパフォヌムするこずになるでしょうチャヌト32。 我々は、䞖界成長が再加速し始めれば幎末たでに金融セクタヌをアップグレヌドするセクタヌリストに加えたいず考えおいたす。債刞利回りの䜎䞋は銀行利益を圧迫しおきたしたチャヌト33。利ざやネット金利マヌゞンぞの逆颚は利回りが䞊昇し始めるず緩和されるはずです。珟圚フォワヌド予想利益の7.6倍、簿䟡の0.6倍で取匕され、配圓利回りが6.3ず高い欧州の銀行は特に奜成瞟を収める可胜性がありたすチャヌト34。 チャヌト33A金利䞊昇ずむヌルドカヌブの䞊方化は金融株に有利に働くI 債刞利回りの䞊昇ずむヌルドカヌブのスティヌプ化は金融株に恩恵をもたらすI 債刞利回りの䞊昇ずむヌルドカヌブのスティヌプ化は金融株に恩恵をもたらすI チャヌト33B金利䞊昇ずむヌルドカヌブの䞊方化は金融株に有利に働くII 債刞利回りの䞊昇ず利回り曲線のスティヌプ化は金融株に有利II 債刞利回りの䞊昇ず利回り曲線のスティヌプ化は金融株に有利II チャヌト35が瀺すように、金融株ぞの投資はバリュヌ株ぞの投資ず䌌おいたす。過去12幎間でグロヌスはバリュヌを圧倒したしたが、今埌1218か月ではバリュヌにずっおひず息぀ける局面が蚪れるでしょう。 チャヌト34欧州の銀行は魅力的である 欧州の銀行は魅力的だ 欧州の銀行は魅力的だ チャヌト35バリュヌは反転の兆しを芋せおいるか バリュヌは転換点にあるか バリュヌは転換点にあるか   フィクスト・むンカム チャヌト36A成長加速で利回りは䞊昇するはずであるI 成長が匷たれば利回りは䞊昇するはずI 成長が匷たれば利回りは䞊昇するはずI ハト掟的な䞭倮銀行ず、圓面は䟝然ずしお抑制されたむンフレが、今埌12か月にわたり政府債利回りを抑制するのに寄䞎するでしょう。それでも、利回りはより匷い䞖界成長を背景に珟圚の䜎氎準から䞊昇するはずですチャヌト36。     チャヌト36B成長加速で利回りは䞊昇するはずであるII 成長が匷たれば利回りは䞊昇する (II) 成長が匷たれば利回りは䞊昇する (II) 債刞利回りは、䞭倮銀行が予想より倚くあるいは少なく政策金利を調敎するかどうかによっお䞊昇したり䜎䞋したりする傟向がありたすチャヌト37。投資家は珟圚、FRBが今埌12か月でさらに80ベヌシスポむントの利䞋げを行うず芋蟌んでいたす。我々はFRBが10月30日に25ベヌシスポむントの利䞋げを行うず考えおいたすが、その埌の远加利䞋げは芋蟌んでいたせん。この緩和局面での环積75ベヌシスポむントの利䞋げは、1990幎代のミッドサむクルの景気枛速期1995/96幎および1998幎で行われた緩和に盞圓したす。総じお、米囜の10幎物金利は2020幎䞭頃たでに再び2台前半に入る可胜性が高いです。 チャヌト37Aより匷い経枈成長は政府債利回りに䞊方圧力をかけるI より匷い経枈成長は囜債利回りに䞊方圧力をかけるI より匷い経枈成長は囜債利回りに䞊方圧力をかけるI チャヌト36Bより匷い経枈成長は政府債利回りに䞊方圧力をかけるII より匷い経枈成長は囜債利回りに䞊方圧力をかけるII より匷い経枈成長は囜債利回りに䞊方圧力をかけるII チャヌト38米囜の政府債利回りは海倖の利回りよりも景気埪環的である 米囜囜債の利回りは海倖の囜債利回りより景気ず同方向に動きやすい 米囜囜債の利回りは海倖の囜債利回りより景気ず同方向に動きやすい 米囜株が海倖の株に比べお䜎ベヌタである傟向があるのずは察照的に、米囜債は高ベヌタを持っおいたす。これは、䞖界の債刞利回りが総じお䞊昇するずきに米囜の囜債利回りが海倖よりも倧きく䞊昇し、䞖界の債刞利回りが総じお䜎䞋するずきに米囜の囜債利回りが海倖よりも倧きく䜎䞋するこずを意味したすチャヌト38。  さらに、為替ヘッゞコストを考慮に入れるず、米囜債は珟圚ほかの債刞垂堎よりも利回りが䜎くなっおいたす衚1。今埌1218か月で米囜利回りが海倖よりも倧きく䞊昇するようなこずがあれば、米囜債のリタヌンはさらに損なわれるでしょう。その結果、投資家はグロヌバルな政府債ポヌトフォリオの䞭で米囜債のり゚むトを䜎めにすべきです。 䞖界的な成長の匷さはコヌポレヌト・クレゞット・スプレッドを抑えるはずです。米囜の商業・䌁業向け貞出の貞し出し基準は緩和方向に戻っおおり、これは通垞コヌポレヌト・クレゞットにずっお匷気材料ですチャヌト39。我々の米囜債刞ストラテゞストによれば、ハむむヌルド瀟債のスプレッド、そしお皋床は小さいもののBaa栌付けの投資適栌スプレッドは、経枈ファンダメンタルズから芋おただ広めに残っおいるずされおいたすチャヌト40。3 䞀方で、より高栌付けの投資適栌債は盞察的な割安床が小さいです。 衚1先進囜における債刞垂堎の比范 2019幎第4四半期 ストラテゞヌ芋通し蚌拠を求める垂堎 2019幎第4四半期 ストラテゞヌ芋通し蚌拠を求める垂堎 チャヌト39貞し出し基準の緩和はコヌポレヌト・クレゞットに良い圱響を䞎える 貞出基準の緩和はコヌポレヌト・クレゞットにずっお奜材料だ 貞出基準の緩和はコヌポレヌト・クレゞットにずっお奜材料だ チャヌト40米囜コヌポレヌトBaaずハむむヌルド債に泚目 米囜コヌポレヌト債Baaおよびハむむヌルド・クレゞットに泚目 米囜コヌポレヌト債Baaおよびハむむヌルド・クレゞットに泚目     今埌18か月を超えお芋るず、むンフレが実質的に䞊昇し始める確率は高いず考えられたす。G7党䜓の倱業率は数十幎ぶりの䜎氎準に䜎䞋しおいたすチャヌト41。完党雇甚に達した先進囜の割合は新たなサむクル高氎準に達しおいたすチャヌト42。フィリップス曲線は死んだずいわれるこずが倚いにもかかわらず、賃金の䌞びは劎働垂堎の䜙裕床ずなお密接に盞関しおいたすチャヌト43。 チャヌト41倱業率は䜎䞋トレンドを保っおいる 倱業率は䜎䞋傟向が続く 倱業率は䜎䞋傟向が続く チャヌト42先進囜完党雇甚が新たなサむクル高に達しおいる 先進囜垂堎完党雇甚がサむクルの新高倀に達しおいる 先進囜垂堎完党雇甚がサむクルの新高倀に達しおいる チャヌト43フィリップス曲線は健圚である フィリップス曲線は健圚だ フィリップス曲線は健圚だ 賃金が䞊昇し続けるず、物䟡も䞊昇し始め、賃金・物䟡のスパむラルを匕き起こす可胜性がありたす。その時点でFRBをはじめずする䞭倮銀行は利䞊げを始めざるを埗なくなりたす。䞀床金利が制玄的な氎準に入るず、株匏は䞋萜し、クレゞット・スプレッドは拡倧するでしょう。2022幎には䞖界的な景気埌退が生じる可胜性がありたす。 通貚ずコモディティ チャヌト 44ドルは逆埪環通貚である ドルは景気埪環に逆行する通貚だ ドルは景気埪環に逆行する通貚だ 米ドルは逆埪環通貚であり、䞖界的な景気埪環ずは逆の方向に動く傟向があるチャヌト 44。珟時点では米ドルの方向性に぀いお匷い短期芋解は持っおいないが、䞖界成長が反発し始めるに぀れお幎末たでに米ドルは匱含み始めるず予想しおいる。 EUR/USDは2020幎䞭頃たでに玄1.13に䞊昇する芋蟌みだ。GBP/USDは1.29に䞊昇するだろう。USD/CNYは7に戻る。USD/JPYは暪ばいずなる公算が倧きく、これは円の防衛的性栌ず消費皎匕き䞊げによる日本の成長ぞの䞋抌しを反映しおいる。 貿易加重ドルは2021幎埌半たで䞋萜し続け、その埌はより積極的な連邊準備制床Fedず䞖界成長の枛速により米ドルは再び䞊昇するだろう。 ドルが匱含む期間䞭、コモディティ䟡栌は䞊昇するチャヌト 45。 チャヌト 45ドル安はコモディティに恩恵をもたらす ドル安はコモディティの远い颚 ドル安はコモディティの远い颚 BCAのコモディティ・ストラテゞストは、12カ月の芖野で特に原油に匷気であるチャヌト 46。圌らは、䞖界成長の匷化ず生産抑制により石油圚庫氎準が䜎䞋するず予想しおおり、ブレント原油䟡栌は幎末たでに1バレル圓たり70ドルに䞊昇し、2020幎は平均で1バレル圓たり74ドルになるず芋おいる。OPECの䜙剰生産胜力カルテルが生産可胜な量ず実際に生産しおいる量の差は珟圚歎史的平均を䞋回っおいるチャヌト 47。原油備蓄はOECD内でも䜎䞋傟向にある。サりゞアラビアの備蓄も2015幎のピヌク以降40超枛少しおいるチャヌト 48。 チャヌト 46䟛絊䞍足は継続する 䟛絊䞍足は続く 䟛絊䞍足は続く チャヌト 47停止を盞殺するための䜙剰胜力の利甚可胜性は限定的 2019幎第4四半期のストラテゞヌ芋通し「芋せおみろ」垂堎 2019幎第4四半期のストラテゞヌ芋通し「芋せおみろ」垂堎 チャヌト 48䞻芁戊略石油備蓄 䞻芁な戊略石油備蓄 䞻芁な戊略石油備蓄 原油䟡栌の䞊昇は、カナダドル、ノルりェヌ・クロヌネ、ロシアルヌブル、コロンビア・ペ゜ずいった通貚に有利に働くはずだ。 最埌に金に぀いお少し觊れる。我々は8月29日に金のロングトレヌドを決枈し、20週間で20.5の利益を確定した。䟝然ずしお、金はより高いむンフレに察する優れた長期ヘッゞず芋おいる。ただし短期的には、債刞利回りの䞊昇が金の勢いをそぐ可胜性があり、仮にドル安が金を郚分的に支揎するずしおもその効果は限定的である。むンフレが䞊振れし始めた時点で、来幎末か2021幎に金のロングポゞションを再床組む予定だ。   ピヌタヌ・ベレゞン、 チヌフ・グロヌバル・ストラテゞスト グロヌバル・むンベストメント・ストラテゞヌ peterb@bcaresearch.com 脚泚 1詳现はグロヌバル・むンベストメント・ストラテゞヌ りィヌクリヌ・レポヌト、「高氎準の債務はデフレ的か、それずもむンフレ的か」2019幎2月15日付をご芧ください。 2詳现はグロヌバル・むンベストメント・ストラテゞヌ スペシャル・レポヌト、「TINAは救いの手ずなるか」2019幎8月23日付をご芧ください。 3詳现は米囜ボンド・ストラテゞヌ りィヌクリヌ・レポヌト、「瀟債投資家は連邊準備制床Fedに逆らうべきではない」2019幎9月17日付をご芧ください。 ストラテゞヌ & マヌケット・トレンド MacroQuantモデルず珟圚の䞻芳的スコア 2019幎第4四半期のストラテゞヌ芋通し『芋せおみろ』マヌケット 2019幎第4四半期のストラテゞヌ芋通し『芋せおみろ』マヌケット タクティカル・トレヌド ストラテゞック・レコメンデヌション クロヌズド・トレヌド
ハむラむト 䞖界の補造業サむクルはたもなくボトムに達する公算が倧きく、消費ずサヌビスは䟝然ずしお堅調です。今埌12か月の景気埌退リスクは䜎く、これは株匏が債刞より匕き続きアりトパフォヌムするこずを瀺唆しおいたす。 しかし、この楜芳的なシナリオに察するリスクは高たっおいたす。消費者信頌感の䜎䞋や地政孊的緊匵の悪化はリスク資産に打撃を䞎える可胜性がありたす。我々はこれをヘッゞするためにキャッシュをオヌバヌりェむトしおいたす。 䞭囜は珟時点では積極的な金融緩和の䜿甚に及び腰です。䞭囜が動くたでは、景気埪環性が䜎い米囜株匏垂堎がアりトパフォヌムするはずです。 䞭囜が景気刺激を本栌化させ、補造業サむクルが明確にボトムを打ったずきに、新興垂堎EMおよび欧州株ぞシフトする可胜性がありたす。この䞊振れリスクをヘッゞするために、我々はファむナンシャルズを戊術的にオヌバヌりェむトずし、たたむンダストリアルズのオヌバヌりェむトずオヌストラリアのニュヌトラルを再確認したす。 債刞利回りはリバりンドを継続するはずです。デュレヌションをアンダヌりェむトずし、TIPSを優先したす。クレゞットは景気埪環の芖点ではアりトパフォヌムするはずですが、䌁業の高負債はリスクですのでニュヌトラルを掚奚したす。 掚奚 四半期ポヌトフォリオ芋通し党面的なヘッゞ 四半期ポヌトフォリオ芋通し党面的なヘッゞ   特集 抂芁 䞇党のヘッゞ 䞖界経枈にずっお特に䞍確実な時期であり、資産配分担圓者にずっおは悩たしい局面です。補造業の掻動はたもなく底打ちするのか、それずもサヌビス郚門や消費を巻き蟌んで䞋抌しするのか。債刞利回りは匷いリバりンドを続けるのか。米連邊準備制床理事䌚Fedは利䞋げを終了したのか。䞭囜は今や積極的に金融刺激を拡倧するのか。むランはサりゞアラビアずの察立を激化させるのか。トランプ倧統領は次に䜕をツむヌトするのか。 こうした環境ではポヌトフォリオ構築の手腕が詊されたす。我々はこれらすべおの問いに぀いお芋解を持っおいたすが、確信床は通垞よりやや䜎めです。投資家が取るべき察応は、最も起こりそうなシナリオすべおにおいおポヌトフォリオが匷靭であるように資産配分を蚈画するこずです。 我々は䞖界の補造業サむクルがたもなくボトムに達するず予想しおいたす。グロヌバル先行経枈指暙はすでに回埩しおおり、グロヌバルPMIも底打ちの兆候を瀺しおいたすチャヌト 1。最短期の先行指暙であるシティグルヌプ経枈サプラむズ指数は、欧州を陀くすべおの地域で最近急䞊昇したしたチャヌト 2。サむクル底のより颚倉わりな指暙に぀いおは、7ペヌゞのクラむアントが尋ねおいるこずも参照しおください。底打ちの芁因は、この9か月間の金融環境の緩和、 䞭囜成長の安定化、そしお単玔に時間の経過です。補造業サむクルの䞋萜局面は兞型的に18か月続き、このサむクルは2018幎䞊半期にピヌクを぀けたした。 チャヌト 1底打ちの最初の兆候 底打ちの最初の兆し 底打ちの最初の兆し チャヌト 2予想倖に匷いサプラむズ 驚くほど匷いサプラむズ 驚くほど匷いサプラむズ     同時に、囜債利回りはさらに䞊昇䜙地があるはずです。Fedはあず䞀床利䞋げする可胜性がありたすが、米囜経枈の堅調さを螏たえるずそれ以䞊にはならないでしょう。これはフェドファンド先物が織り蟌んでいる今埌12か月の59ベヌシスポむントの利䞋げよりも小さい幅です。最近の経枈サプラむズの持ち盎しは、米10幎囜債利回りが少なくずも6か月前の氎準である2.32.4に戻るこずを瀺唆しおいたすチャヌト 3。ただし、䟋えば米䞭貿易協議の砎綻のような政治的緊匵の高たりがあるず、この動きは遅れる可胜性がありたすチャヌト 4。 チャヌト 3長期金利はさらにリバりンドぞ... 長期金利、さらに反発ぞ... 長期金利、さらに反発ぞ... チャヌト 4...しかし地政孊的緊匵は䟝然リスク ...しかし地政孊的緊匵は䟝然ずしおリスクである ...しかし地政孊的緊匵は䟝然ずしおリスクである これは、今埌数四半期にわたり株匏が債刞をアりトパフォヌムし続ける可胜性が高いこずを意味し、我々は12か月の投資期間でグロヌバル株匏をオヌバヌりェむト、グロヌバル債刞をアンダヌりェむトの立堎を維持しおいたす。ただし、この明るいシナリオに察するリスクは増しおいたす。我々は第二次䞖界倧戊以降、ほが18か月前にほがすべおの景気埌退を的䞭させおきたむヌルドカヌブの逆むヌルド化を䟝然ずしお懞念しおいたすチャヌト 5。3か月/10幎のカヌブは今幎䞭頃に逆むヌルド化したした。たた、補造業郚門の匱さが消費者信頌感を損なうこずを懞念しおいたす。これは欧州ず日本にいく぀かの兆候がありたすが、米囜ではただ顕著ではありたせんチャヌト 6。したがっお先月、景気埌退に察するヘッゞずしお我々はキャッシュをオヌバヌりェむトしたした。リスクリワヌドの芳点から、債刞よりもキャッシュをより魅力的なヘッゞずみなしおいたす。 チャヌト 5むヌルドカヌブのメッセヌゞを無芖できたすか むヌルド・カヌブからのメッセヌゞを無芖できたすか むヌルド・カヌブからのメッセヌゞを無芖できたすか チャヌト 6消費者信頌感の匱さのいく぀かの兆候 消費者信頌感の匱たりを瀺すいく぀かの兆候 消費者信頌感の匱たりを瀺すいく぀かの兆候     我々はたた、ベヌタが䜎く他地域の株匏ほど構造的逆颚が少ない米囜株匏を匕き続きオヌバヌりェむトしたす。ただし、䞭囜のより倧胆な刺激策の恩恵を受けるであろう、より景気埪環性の高い株匏垂堎ぞの参入ポむントを匕き続き探しおいたす。䞭囜の金融緩和はこれたでの景気刺激局面に比べおなお慎重です。囜内掻動を安定化させるにはおそらく十分でしたチャヌト 7が、2016幎のように工業甚コモディティ䟡栌や新興垂堎資産、ナヌロ圏株匏のラリヌを匕き起こすほどではありたせん。グロヌバルPMIの䞊昇ず䞭囜の信甚成長の匷たりの兆候は、明らかに新興垂堎ず欧州を助けるでしょうチャヌト 8が、我々が実際にそれらが起きおいるずより高い確信を持぀たではその動きを取るこずはしたせん。その間、欧州株がアりトパフォヌムし始めた堎合に有利になるはずのため、我々は䞊振れリスクをヘッゞする目的でグロヌバルの金融セクタヌを戊術的にオヌバヌりェむトに匕き䞊げおいたす。今幎初めには、より積極的な䞭囜刺激による䞊振れリスクをヘッゞするためにむンダストリアルズをオヌバヌりェむト、オヌストラリア株匏をニュヌトラルに匕き䞊げたした。 チャヌト 7䞭囜の刺激は成長を単に安定化させただけ 䞭囜の景気刺激策は成長を単に安定させただけに過ぎない 䞭囜の景気刺激策は成長を単に安定させただけに過ぎない チャヌト 8欧州ず新興垂堎は最も景気埪環的な垂堎 欧州ず新興垂堎は最も景気埪環性の高い垂堎だ 欧州ず新興垂堎は最も景気埪環性の高い垂堎だ     チャヌト 9原油䟡栌の急隰はしばしば景気埌退に先行する 原油䟡栌の急隰は景気埌退に先行するこずが倚い。 原油䟡栌の急隰は景気埌退に先行するこずが倚い。 我々の楜芳的なシナリオに察する最倧の地政孊的リスクは、サりゞの石油粟補斜蚭ぞの攻撃埌の䞭東情勢です。過去50幎のすべおの景気埌退は、原油䟡栌の前幎同月比100の急隰に先行されおきたしたただし、この事態が珟実ずなるにはブレントが幎末たでに珟圚の61ドルから100ドル超ぞ䞊昇する必芁がありたすチャヌト 9   チャヌト 10原油のリスクプレミアムは䜎すぎるのか 四半期ポヌトフォリオ芋通し党方䜍のヘッゞ 四半期ポヌトフォリオ芋通し党方䜍のヘッゞ   ギャリヌ・゚ノァンス、シニア・バむス・プレゞデント チヌフ・グロヌバル・アセット・アロケヌション・ストラテゞスト garry@bcaresearch.com     クラむアントが尋ねおいるこず 䞖界成長の反発のタむミングを図るために投資家はどの先行指暙を泚芖すべきか チャヌト 11䞖界成長に関するポゞティブなシグナル ナヌロ圏の補造業は底打ちに近いか 䞖界経枈の成長に察するポゞティブなシグナル ナヌロ圏の補造業は底打ちに近いか 䞖界経枈の成長に察するポゞティブなシグナル 2019幎の䞖界的な成長鈍化は、債刞ラリヌずディフェンシブ資産のアりトパフォヌマンスの䞻芁因でした。したがっお、この䞋萜がい぀反転するかのタむミングを芋極めるこずは極めお重芁です。反転はディフェンシブから景気埪環性の資産ぞのリヌダヌシップの亀代ももたらすからです。では、どのようにしおこれを行うか。以䞋に、過去に䞖界経枈に関する信頌できる先行シグナルを提䟛しおきた我々のお気に入りの指暙を䞉぀挙げたす。 キャリヌトレヌドのパフォヌマンス非垞に高いキャリヌを持぀新興囜通貚の察円でのパフォヌマンスは、䞖界成長の先行指暙ずなる傟向がありたすチャヌト 11, パネル1。䞀般に、キャリヌトレヌドは資金が豊富だが利回りが䜎い囜日本のようなから、貯蓄䞍足でリスクは高いが芋蟌み収益が高い囜ぞ流動性を分配したす。これらの通貚のポゞティブなパフォヌマンスは、䞖界的な流動性の改善を瀺す傟向があり、通垞は䞖界成長を埌抌ししたす。 スりェヌデンの圚庫サむクルスりェヌデンの受泚圚庫比率は䞖界の補造業サむクルの先行指暙ですパネル2。なぜか。スりェヌデンは小さな開攟経枈であり、䞖界成長のダむナミクスに非垞に敏感です。さらに、スりェヌデンの茞出は䞭間財に重心が眮かれおおり、これはグロヌバルなサプラむチェヌンの早い段階に䜍眮したす。これによりスりェヌデンの圚庫サむクルは䞖界の補造業サむクルの良い早期のバロメヌタヌずなりたす。 G3のマネタリヌトレンドG3の実質的なマネヌサプラむ超過マネヌサプラむ成長率ず貞出成長率の差ずしお枬定は、䞖界の工業生産の先行指暙ですパネル3。ベヌスマネヌず預金が既存の貞出プヌルに察しお銀行システム内でより豊富になるず、商業銀行の流動性ポゞションは改善したす。これにより銀行はより倚くの貞出成長を生み出す燃料を埗られ、最終的に経枈掻動に远い颚を提䟛したす。 重芁なのは、これらすべおの先行指暙が䞖界経枈に察しおポゞティブなシグナルを送っおいるこずです。これは、䞖界成長が匷たるに぀れお金利は䞊昇すべきだずいう我々の芋解を裏付けたす。したがっお、投資家はポヌトフォリオで株匏をオヌバヌりェむト、債刞をアンダヌりェむトのたたにしおおくべきです。   ナヌロ圏の銀行を買う時期か 2018幎12月のナヌロ圏の銀行に関するスペシャルレポヌトでは、「歎史的に、盞察P/Bディスカりントが䞋限バンドに達し、盞察配圓利回りが䞊限バンドに達したずき、盞察リタヌンの反発が期埅できる」ず指摘したした。1 圓時の我々の掚奚は「長期投資家はこの地域の銀行を避けるべきだが、より戊術的な暩限を持ち、機動的なスタむルの投資家は評䟡指暙を利甚しお銀行ぞの出入りを短期トレヌドずしお『タむミング』できる」ずいうものでした。 それ以降、銀行は垂堎党䜓を10以䞊アりトパフォヌムできずに匕き続きアンダヌパフォヌムし、盞察的な評䟡指暙をさらに抌し䞋げたした。珟圚、盞察P/Bず盞察配圓利回りはずもに、歎史的に少なくずも短期的な反発を予告しおきた極端な氎準にありたす。 ナヌロ圏のPMIはただ50を䞋回っおいたすが、ナヌロ圏経枈が今幎埌半に持ち盎す兆候があり、これは銀行の盞察的な収益にずっおポゞティブになるはずです。すでに、フォワヌドの1株圓たり利益EPS成長は幅広い垂堎に察しお安定化しおいたすチャヌト 12、パネル4。 さらに、2018幎12月圓時の䞻芁な懞念材料の二぀はむタリア政府債務ず量的緩和QEの巻き戻しでした。珟圚、むタリア債務はもはや危機的な状況にはなく、ECBはQEを再開しおいたす。 したがっお、戊術的な暩限を持ち機動的に運甚できる投資家はナヌロ圏の銀行を買うオヌバヌりェむトべきです。長期投資家は構造的な問題が残っおいるため、䟝然ずしおこのような短期トレヌドは避けるべきです。 チャヌト 12戊術的にナヌロ圏の銀行をアップグレヌド 戊術的にナヌロ圏の銀行を栌䞊げ 戊術的にナヌロ圏の銀行を栌䞊げ  é‡‘盞堎の䞊昇は終わったのか スポット金䟡栌は幎初来で17%䞊昇しおおり、その背景には䞖界的な成長鈍化、ハト掟に傟いた䞭倮銀行、そしお高たる政治的緊匵がある。投資家は今、金の゚クスポヌゞャヌを削枛すべきだろうか。垞識的にはそうすべきだろう。しかし、今回は通垞の時期ではない。 短期的には、テクニカル面での買われ過ぎず行き過ぎたポゞティブなセンチメントのために䞀郚利益確定が入り、金䟡栌は䞋抌しを受ける可胜性があるチャヌト13、パネル1。さらに、今幎の金䟡栌の動きは䞭倮銀行の緩和期埅の高たりによるずころが倧きいパネル2。今埌、垂堎は利䞋げが限定的にずどたるこずに倱望する可胜性があり、それが金の䞋萜圧力ずなり埗るず予想する。 他方で、珟圚䞖界の債務の玄27%、すなわち14.9兆ドルがマむナス利回りであるため、投資家は次善の資産である利回りれロの金ぞ匕き続きシフトしおいくだろうパネル3。䞭倮銀行ず投資家の双方によるここ数幎の金保有増加パネル4・5からもこれが明らかである。投資家がマむナス利回りを回避し資本保党に重点を眮く動きが続く限り、この傟向は持続するず芋おいる。 幎初以来、地政孊的緊匵は匷たっおいる米䞭間の継続するが決定的でない貿易亀枉、さらなる関皎の実斜、ブレグゞットの䞍確実性、そしお䞭東での最近の軍事攻撃パネル6。このような環境は金䟡栌を抌し䞊げ続けるはずだ。 我々は匕き続き、今埌12か月で加速するず芋おいるむンフレに察するヘッゞずしお、たた䞖界成長や地政孊的状況のさらなる悪化に察するヘッゞずしお金を掚奚する。 Chart 13Gold: Sell Or Hold? ゎヌルド売华か保有か ゎヌルド売华か保有か 楜芳的シナリオぞのリスクは高たっおいる。我々は䟝然ずしお逆むヌルド曲線を懞念しおいる。逆むヌルド曲線は第二次䞖界倧戊以降のすべおの景気埌退を正確に予枬しおきた。 金利はどこたで䞋がり埗るか れロ䞋限は過去のものだ。先月、デンマヌク䞭倮銀行は金利を-0.75%に匕き䞋げ、スむスの10幎囜債は䞻芁囜ずしお歎史的最䜎氎準の-1.12%に達した。次の景気埌退においお、理論䞊金利はさらにどこたで䞋萜し埗るだろうか 個人にずっお、玙幣の保管コストが珟金金利の䞋限を制玄する可胜性がある。玙幣自䜓は利回りれロだからだ政府が珟金を犁止する方法や幎䌚費を課す方法を芋出さない限り。銀行の貞金庫は幎間玄300ドル、たた100䞇ドルを保管するのに十分なプロ甚金庫100ドル札の山で31 x 55 cm、重さ玄10kgは蚭眮費を含め玄2,000ドルである。埌者を10幎で償华すれば、100䞇ドルの保管コストは幎率玄0.2%〜0.3%になる。スむスフラン玙幣最高額面CHF1,000は保管コストがより䜎くなるだろう。しかし、珟物金の保管コストは幎率玄2%である。 金利がこれを䞋回っおいる堎合、他の制玄が存圚するはずだ。個人が珟金を保管するこずは危険であり、確実に非垞に䞍䟿である皎金の支払いのために珟金を銀行に運ばなければならないこずを想像しおみおほしい。たた、䟋えば10億ドル重さ10トンを保管する個人や䌁業のコストははるかに高くなるだろう。䜎金利囜の歎史を螏たえるずチャヌト14、パネル1、珟金保有者が政府短期債の銀行預金の代替を暡玢し始める氎準は抂ね-1%前埌だず我々は考えおいる。 Chart 14How Low Can They Go? どこたで䞋がるのか どこたで䞋がるのか Chart 15Yield Curves When Rates Are At Zero Or Below 金利がれロ以䞋のずきのむヌルドカヌブ 金利がれロ以䞋のずきのむヌルドカヌブ   長期偎では、短期金利がれロたたはマむナスのずきにむヌルドカヌブが倧きく逆転するこずは通垞ないチャヌト15。今幎初めにスむスで芳枬された3か月/10幎の最倧逆むヌルドは-0.05%だった。 したがっお、どこであれ10幎債の絶察的な最䜎氎準は、たずえ厳しい景気埌退の只䞭であっおも抂ね-1.1%付近であろうずいう瀺唆になる。 これは資産配分担圓者にずっおの懞念材料だ。珟圚の氎準スむス-0.8%からスむス囜債が取り埗る数孊的最倧䞊昇幅は3%であり、ドむツ囜債珟-0.5%では5%である。これはあたり有効なヘッゞずは蚀えない。米囜だけが盞察的に有利に芋える10幎物米囜債利回りが0%に䜎䞋した堎合、トヌタルリタヌンは18%になる。   䞖界経枈 Chart 16U.S. Growth Remains Solid 米囜の成長は堅調を維持 米囜の成長は堅調を維持 抂芳䞖界的に産業郚門の成長は匱く、倚くの囜で補造業PMIが50を䞋回っおいる。しかし、消費ずサヌビスはほがすべおの地域で持ち堪えおおり、補造業比重の高いナヌロ圏でも䟋倖ではない。補造業の底打ちの兆しが断続的に芋られるが、本栌的な回埩は䞭囜におけるさらなる金融緩和の芏暡に䟝存するだろう。䞭囜圓局は2016幎に行ったほどの倧芏暡な緩和を展開するこずには慎重な姿勢を厩しおいないようだ。 米囜米囜の補造業は既に䞖界の他地域に続いお収瞮局面に入っおおり、ISM補造業景況指数は8月に50を䞋回ったチャヌト16、パネル2。しかし、消費ずサヌビスは抂ね奜調を維持しおいる。雇甚は拡倧を続けおいるただし昚幎よりやや鈍いペヌスで、求職者䞍足が䞀因かもしれない、解雇の増加は芋られず、消費者信頌感は䟝然ずしお歎史的高氎準に近い9月にわずかに䜎䞋した。䜏宅は昚幎の枛速埌に回埩しおおり、最近の議䌚での予算合意により今埌12か月は財政政策がやや拡匵的になる芋蟌みだ。蚭備投資パネル5のみが、貿易戊争を巡る䞍確実性のために䌁業が投資刀断を先送りしおいる圱響で鈍化しおいる。コンセンサスは今幎の米囜実質GDP成長率を2.2%ず芋蟌んでおり、倚くの朜圚成長率の掚定を䞊回っおいる。 ナヌロ圏補造業の比重が高いため、欧州の成長は米囜より匱い。補造業PMIは2月以来50を䞋回り、8月にはさらに45.6に䜎䞋した。鉱工業生産は前幎比で2%瞮小しおいる。むタリアは2四半期のマむナス成長を経隓しおおり、ドむツも第3四半期にテクニカルリセッションに入る可胜性がある第2四半期はGDPが0.1%瞮小した。しかし、補造業の底打ちの兆候は断続的に芋られる䟋えば9月のZEW調査は䞊振れのサプラむズずなった。たた、米囜同様に消費は匷い。補造業比重の高いドむツでも雇甚は増加を続け、7月の小売売䞊高は前幎同月比で4.4%増だった。䞀方、英囜ではブレグゞットを巡る䞍確実性が䌁業の投資を損なっおいるが、雇甚は堅調である。2 Chart 17First Signs Of A Rebound In The Rest Of The World? 䞖界のその他地域で反発の兆候が芋え始めたか 䞖界のその他地域で反発の兆候が芋え始めたか 日本消費は既に䜎䞋しおおり、10月に予定された消費皎率の匕き䞊げ前でさえ萜ち蟌んでいる。7月の小売売䞊高は前幎比で2%枛少し、賃金のマむナス成長ず消費者センチメントの5幎ぶりの䜎氎準ぞの䜎䞋が原因である。補造業は䞭囜の枛速ず匷い円過去12か月で6%䞊昇の圱響を受け続けおおり、茞出は6%枛、鉱工業生産は過去3か月で前幎比2%枛少しおいる。消費皎率匕䞊げの圱響は自動車皎の軜枛や高校教育の無償化ずいった政府の措眮により緩和される可胜性があるし、䞭囜成長の回埩が茞出を抌し䞊げるだろう。しかし、掻動の底打ちの兆候はただ乏しい。 新興垂堎䞭囜の成長は安定化しおいるように芋え、補造業・非補造業の䞡PMIが50を䞊回っおいるチャヌト17、パネル3。しかし、景況感は脆匱で、小売売䞊高の䌞びは20幎ぶりの䜎氎準に鈍化し、自動車販売は8月に7%枛少した。これは新排出基準適合車の導入にもかかわらずである。圓局は远加の緩和策9月の預金準備率の远加匕き䞋げを含むで察応したが、2016幎のような本栌的な金融刺激を再床実斜するこずには消極的なようだ。他の新興囜では、構造的な問題を抱える囜で成長が鈍化しおいるアルれンチンの最新の前幎比実質GDP成長率は-5.7%、トルコは-1.5%、メキシコは-0.8%が、他方で比范的堅調なのはむンド5%、むンドネシア5%、ポヌランド4.2%、コロンビア3.4%である。 金利ほがすべおの䞭倮銀行がハト掟に転じおおり、FRBは2回目の利䞋げを行い、ECBは資産買入れを再開し、日銀は10月に緩和を瀺唆した。しかし、さらなる金融緩和は垂堎の期埅よりも小幅にずどたる可胜性が高い。FRBは今回の利䞋げを䞭間的な修正に過ぎないず瀺し、远加緩和は考えにくいず瀺唆した。ECBず日銀には利甚可胜な手段がほずんど残っおいない。成長の底打ちの兆しず、䞭倮銀行のハト掟転換が終盀に差し掛かっおいるずいう垂堎の理解を螏たえ、既に米囜で1.45%から9月に1.72%ぞず䞊昇しおいる長期金利はさらに䞊昇する可胜性が高い。投資家はたた、米囜のむンフレに泚意深く泚芖すべきである。基調の匷さを瀺す兆候があり、コアCPIは8月に前幎比2.4%䞊昇しおいる過去3か月の幎率換算では最倧3.4%に達する。   䞖界株匏 Chart 18Has Earnings Growth Bottomed? 利益の䌞びは底を打ったか 利益の䌞びは底を打ったか 䟝然ずしお慎重だが、䞊方リスクに察するヘッゞを远加地政孊的リスクや匱たる経枈指暙ずいったヘッドラむンリスクにもかかわらず、グロヌバル株匏は第3四半期に8ベヌシスポむントの小幅な損倱にずどたったチャヌト18。総じお、我々のディフェンシブな囜別配分は第3四半期によく機胜した。先進囜DM株匏は新興囜EMを4.5%䞊回り、米囜はナヌロ圏を2.8%䞊回った。 ただしセクタヌ配分は期埅通りにはいかなかった。ナヌティリティヌず生掻必需品のアンダヌりェむト、および資本財、゚ネルギヌ、ヘルスケアのオヌバヌりェむトがすべお逆方向に動いたためである。ずはいえマテリアルのアンダヌりェむトが損倱の䞀郚を盞殺するのに寄䞎した。 四半期の間、債刞利回りの倧きな倉動に合わせお、グロヌバル株匏の䞖界ではセクタヌおよび囜別のロヌテヌションが明確に芋られた。9月には先進囜新興囜、米囜ナヌロ圏、景気埪環株ディフェンシブ株で䞀郚の反転が確認された。 今埌に぀いお、BCAのハりスビュヌは䞖界経枈成長がここ数か月のうちに回埩し始めるずいう芋方を維持しおいるが、以前に予想したよりやや遅れるず予想しおいる。したがっお、我々のディフェンシブな囜別配分は䟝然ずしお適切だ。4月にナヌロ圏ず新興囜株をアップグレヌド監芖リストに入れたが、䞖界的な回埩の遅れはただその刀断を発動する時ではないこずを瀺しおいる。3 我々は債刞利回りが底を打ったずの芋方を持っおいるため4、グロヌバルのセクタヌ配分で1぀調敎を行い、金融セクタヌをニュヌトラルからオヌバヌりェむトぞ栌䞊げする。資金はヘルスケアのダブルオヌバヌりェむトを半分にしおオヌバヌりェむトに削枛するこずで賄う詳现は次ペヌゞ参照。この調敎は、1) ナヌロ圏が米囜をアりトパフォヌムする堎合、2) 今埌の米囜倧統領遞で゚リザベス・りォヌレンが勝利する堎合、ずいう二぀の可胜性に察するヘッゞにもなる。5  ã‚°ãƒ­ãƒŒãƒãƒ«é‡‘融株をニュヌトラルからオヌバヌりェむトぞ栌䞊げ Chart 19Upgrade Global Financials グロヌバル・ファむナンシャルズをアップグレヌド グロヌバル・ファむナンシャルズをアップグレヌド グロヌバルの金融株の総株匏垂堎に察する盞察パフォヌマンスは、グロヌバル債刞利回りの動きに倧きく圱響を受けおきたChart 19、パネル1。9月に債刞利回りが急反転したのに䌎い、金融株の盞察パフォヌマンスも反転した。ただし、近幎にわたり金融株が幅広い垂堎に察しお倧きくアンダヌパフォヌムしおきたこずから、チャヌト䞊ではほずんど芋えない。 債刞利回りの急反転がどの皋床持続するかは明確ではないが、BCAのハりスビュヌでは今埌912か月で債刞利回りは䞊昇するず芋おいる。したがっお、以䞋の远加的な理由により金融株をニュヌトラルからオヌバヌりェむトぞ栌䞊げする。 バリュ゚ヌションはパネル2に瀺されおいるように非垞に魅力的である。さらに重芁なのは、盞察バリュ゚ヌションが珟圚、歎史的に金融株の盞察パフォヌマンスの反発を予告しおきた極端な氎準にあるこずである。 ロヌンの質が改善しおいる。米囜の䞍良債暩NPL比率は䞖界金融危機GFC前に達した底に近づいおいる。スペむンやむタリアにおいおもNPL比率は倧幅に䜎䞋しおいるが、GFC前の氎準よりは䟝然高いたたであるパネル3。 米囜の消費は堅調で、䜏宅は回埩し、ロヌン需芁は匷たっおいるパネル4。シティ・゚コノミック・サプラむズ・むンデックスなどのデヌタず䞀臎しおおり、経枈指暙が底入れした可胜性を瀺唆しおいる。 この栌䞊げを資金繰りするため、ヘルスケアのダブル・オヌバヌりェむトをオヌバヌりェむトに匕き䞋げた。これは、来幎の米倧統領遞で゚リザベス・りォヌレンが勝利し医薬品䟡栌芏制を厳栌化するリスクぞのヘッゞである。 囜債 デュレヌションはややアンダヌりェむトを維持。 第3四半期の最初の2か月間、我々のベンチマヌク比デュレヌション瞮小の刀断はグロヌバル債刞垂堎によっお倧きく詊された。米囜の10幎物囜債利回りは9月3日に1.43%を付けたが、これは米囜のISM補造業指数が予想を䞋回ったこずを受けたもので、前四半期末の氎準より57ベヌシスポむント䜎く、2016幎7月6日に蚘録した歎史的䜎氎準1.32%をわずかに䞊回る氎準だった。ただし、9月5日以降の債刞利回りの反発は、米䞭貿易政策の起䌏だけでなく、Chart 20に瀺される通り経枈指暙のサプラむズがポゞティブだったこずにも牜匕されおいる。 BCAのグロヌバル・デュレヌション・むンゞケヌタヌは、圓瀟のグロヌバル・フィクスト・むンカム・ストラテゞヌチヌムが耇数の先行経枈指暙を甚いお構築したもので、今埌䞖界的に利回り䞊昇を瀺唆しおいる。投資家は今埌912か月間、デュレヌションをややアンダヌりェむトで維持すべきである。 名目債よりむンフレ連動債を優先。 グロヌバルのむンフレ期埅も、四半期の最初の2か月間に続いた䞋降トレンドの埌に反発しおいる。これは䞻に8月にコアCPI、コアPCE、平均時絊ずいった実珟むンフレ指暙が加速したこずを反映しおいる。加えお、歎史的に原油䟡栌の倉化はむンフレ期埅ず良奜な盞関を持぀傟向がある。サりゞアラビアの石油生産斜蚭ぞの攻撃を受けお原油䟡栌は䞀時20%急隰した。䞭東の地政孊的緊匵がどのように進展するかは䞍透明だが、サりゞ偎が䞻匵するように倱われた生産の70%を埩旧できるず仮定するず、OPECの䜙剰生産胜力日量玄180䞇バレルが垂堎の均衡を保ち、残る倱われた生産をカバヌできるはずである。幎末たで原油䟡栌が暪ばいで掚移するずいう保守的な前提でも、むンフレ期埅ははるかに高たる方向にあり、これが名目債よりむンフレ連動債を支持する根拠ずなる。日本およびオヌストラリアにおいおも、それぞれの名目債よりむンフレ連動債を奜むChart 21。 Chart 20Bond Yields Have Hit Bottom 債刞利回りは底を打った 債刞利回りは底を打った Chart 21Favor Inflation Linkers リンク債を遞奜 リンク債を遞奜 より倧胆な䞭囜の景気刺激が実珟した堎合に恩恵を受ける、景気埪環性の高い垂堎ぞの参入機䌚を匕き続き探しおいる。 瀟債 我々がフィクスト・むンカム・ポヌトフォリオ内で景気埪環的にクレゞットをオヌバヌりェむトに転じお以来、投資適栌瀟債ずハむむヌルド債は、それぞれデュレヌションを合わせた囜債に察しお220および73ベヌシスポむントの超過リタヌンを生み出しおいる。 我々は今埌12か月のクレゞット芋通しに察しお匕き続き匷気である。幎末たでにグロヌバル成長が加速するず予想しおいるからである。歎史的に芋るず、グロヌバル成長の改善はクレゞットが囜債に察しお持続的にアりトパフォヌムするこずをもたらしおきた。さらに、貞出基準が緩和を続けおいるこずを螏たえれば、デフォルト率は今埌1幎にわたり抑制されるず芋られるChart 22、パネル1。 どのくらいの期間クレゞットをオヌバヌりェむトにするのか。米囜䌁業債垂堎における高いレバレッゞ氎準、利息支払胜力interest coverage ratioの䜎䞋、およびBaa栌付け債の比率の高さは、構造的にクレゞットをリスクの高い遞択肢にしおいる。しかし、むンフレ期埅が䟝然ずしお非垞に䜎いため、FRBは金融政策を緩和的に保぀むンセンティブが匷い。このハト掟的な金融政策は金利コストを抑え、クレゞットが今埌1幎でアりトパフォヌムするのを助けるだろう。 ずはいえ、魅力的なクレゞットのカテゎリヌには差があるず我々は考えおいる。具䜓的には、Baa栌付けずハむむヌルド蚌刞を優先するこずを掚奚する。これらのクレゞット・バケットにはさらなるスプレッド圧瞮の䜙地が残されおいるためであるパネル2およびパネル3。䞀方で、最䞊䜍の信甚カテゎリヌはもはやバリュヌを提䟛しおいないため避けるべきであるパネル4。 Chart 22Baa-rated And High-Yield Credit Offer The Most Value Baa栌付けおよびハむむヌルド・クレゞットは最も高い䟡倀を提䟛する Baa栌付けおよびハむむヌルド・クレゞットは最も高い䟡倀を提䟛する   コモディティ Chart 23No Supply Shock In The Oil Market 四半期ポヌトフォリオ芋通し党方䜍でのヘッゞ 四半期ポヌトフォリオ芋通し党方䜍でのヘッゞ ゚ネルギヌオヌバヌりェむト9月のドロヌン攻撃はサりゞの原油斜蚭に察する䟛絊懞念を匕き起こし、攻撃盎埌の数日間で原油䟡栌は最倧で玄20%䞊昇したが、その埌攻撃前の氎準たで䞋萜した。初期の掚蚈では䟛絊障害は日量玄570䞇バレル、぀たり䞖界䟛絊量の玄5.5%に盞圓し、史䞊最倧の原油䟛絊停止ずなった。ただし、サりゞが䞻匵するように倱われた生産の70%を埩旧できるず仮定すれば、OPECの予備胜力である日量玄180䞇バレルが垂堎を均衡させ、残る倱われた生産をカバヌできるはずである。より長期的には、経枈成長の回埩に䌎う䞖界的な原油需芁の䌞びず䟛絊の緊匵が原油䟡栌を抌し䞊げる芋蟌みで、ブレントは今幎70ドルに達し、2020幎は平均74ドルになるず予想されるChart 23、パネル1およびパネル2。 工業甚金属ニュヌトラル幎初来の䞭囜圓局による消極的な刺激策ず2019幎第2四半期・第3四半期の米ドル高が工業甚金属のスポット䟡栌を抌し䞋げおきた。しかし、䞭囜政府は9月に远加の刺激策を発衚し、むンフラ事業の資金調達のためのさらなる債刞発行や金融緩和を行うず衚明したパネル3。これにより、今埌612か月で工業甚金属䟡栌に䞊振れ䜙地が出るはずである。 貎金属ニュヌトラル幎初来の力匷いパフォヌマンスを螏たえ぀぀も、我々は金に察しお䟝然ずしおポゞティブである。金は景気埌退、むンフレ、地政孊リスクに察する優れたヘッゞず芋なせるからである。金に぀いおは第9ペヌゞのクラむアントからの質問セクションで詳述しおいる。銀も短期的には魅力的に芋える。過去20幎で銀の利甚甚途の性質は倉化し、䞻に工業甚玠材ずしおの偎面から、安党資産ずしおの貎金属的偎面が匷たっおいる。金ず銀の䟡栌の盞関は䞖界金融危機前の平均0.5から危機埌は0.8ぞず䞊昇しおいるパネル4およびパネル5。グロヌバル成長ず政治的䞍確実性が今埌数か月で銀䟡栌を支えるだろう。 通貚 米ドル4月にニュヌトラルに転じお以来、貿易加重ドルは2.5%䞊昇しおいる。利回りの急萜は金融条件を緩和し、幎末の第4四半期に䞖界成長を䞋支えする公算が倧きい。米ドルは逆景気埪環的な通貚であるため、䞖界的な成長の回埩局面は歎史的にドルにずっおネガティブであった。 ナヌロ4月に匷気に転じお以来、EUR/USDは2.7%の䞋萜ずなっおいる。党䜓ずしお、我々は景気埪環的な時間軞においおEUR/USDに察しお匕き続きポゞティブである。ECBが金利を10ベヌシスポむント匕き䞋げ、远加の量的緩和を発衚した埌、ナヌロ圏が米囜に察しおさらに緩和を続ける䜙地はあたり残っおいないChart 24、パネル1。加えお、ナヌロ圏の利益成長芋通しが米囜に比べお改善するこずが期埅されれば、資金フロヌは欧州ぞ向かい、それがEUR/USDを抌し䞊げるだろうパネル2。 新興囜通貚圓面の間、新興囜通貚に察しおは匱気の芋方を維持する。ただし、幎末に向けおは栌䞊げ監芖䞭である。䞖界成長が反転し぀぀ある兆候が耇数みられ、これは歎史的に蚘録的に䜎い債刞利回りがもたらす緩和的な金融環境の結果である。さらに、新興囜成長の䞻芁゚ンゞンである䞭囜における限界的な消費傟向M1成長率ずM2成長率の差で代理されるは、新興囜通貚のさらなる䞊昇を瀺唆し続けおいるパネル3。 Chart 24Interest Rate And Profit Expectation Differentials Favor The Euro ナヌロはたもなく急隰するかもしれない。金利ず利益期埅の差がナヌロに有利だ。 ナヌロはたもなく急隰するかもしれない。金利ず利益期埅の差がナヌロに有利だ。     オルタナティブ Chart 25Favor Hedge Funds Untill Global Growth Bottoms グロヌバル成長が底打ちするたでヘッゞファンドを掚奚 グロヌバル成長が底打ちするたでヘッゞファンドを掚奚 リタヌン増匷策過去12か月にわたり、我々は投資家に察しおプラむベヌト・゚クむティの配分を枛らし、ヘッゞファンド、特にマクロ・ヘッゞファンドぞの配分を増やすこずを掚奚しおきた。これは、我々の刀断ずしお景気サむクルが埌期にあるためである。成長が今埌数か月で回埩するず期埅しおいるが、珟時点のデヌタではただ明確ではないChart 25、パネル1。この䞍確実なマクロ環境は、特にマルチプルの䞊昇ず買収競争の激化ずいう環境䞋でプラむベヌト・゚クむティにずっお厳しいものずなるだろう。グロヌバル・マクロ・ヘッゞファンドは次の景気埌退に先立぀最良のヘッゞであるず匕き続き芋おおり、非流動性資産ぞの配分を倉曎するには時間がかかるため、投資家には今のうちに資金を配分するこずを勧める。 むンフレ・ヘッゞ珟状では、TIPSは非流動性のオルタナティブ資産よりも優れたむンフレ・ヘッゞである可胜性が高い。2019幎5月のスペシャルレポヌト8は、むンフレが䞊昇しおいるが䟝然ずしお比范的䜎い2.3%未満局面では、TIPSが特に魅力的なリスク調敎埌リタヌンを生み出すこずを瀺しおいる。したがっお、FRBがハト掟を維持し、金利をもう䞀床匕き䞋げるかもしれない䞀方でむンフレの䞭皋床の加速を容認するずいう我々の芋通しの䞋では、TIPSは今埌数か月の環境で良奜に掚移するはずであるパネル2。 ボラティリティ抑制策ストラクチャヌド・プロダクツ、䞻にモヌゲヌゞ担保蚌刞MBSは、ポヌトフォリオのボラティリティを䜎枛する点で優れた実瞟を持っおいるパネル3。それにもかかわらず、珟圚の評䟡は必ずしも魅力的ではないため、MBSぞの配分はニュヌトラルを超えお掚奚しない。今シヌズンは長期金利が100ベヌシスポむント以䞊䜎䞋し、借り換え掻動が掻発化しおいるにもかかわらず、名目ベヌスのMBSスプレッドは史䞊最䜎氎準付近にずどたっおいる。ただし、囜債利回りが底打ちするに぀れお借り換えは枛速し、スプレッドに䞋抌し圧力がかかるず予想しおいる。圓瀟芋解に察するリスク 最も起こり埗る䞊方リスクは、FRB米連邊準備制床理事䌚が過床にハト掟になり、察応が遅れるこずである。米囜の基調的なむンフレ圧力は䟝然ずしお匷いコア消費者物䟡指数は過去3か月で幎率換算3.4䞊昇。2回の利䞋げ埌、フェデラルファンド金利は珟圚䞭立金利を倧きく䞋回っおいる実質で0.1、Laubach‑Williamsのr*は0.8に察しおであるチャヌト26。マネヌ・マヌケットのタむトさからFRBは再びバランスシヌトの拡倧を開始しおいる。来幎に補造業の成長が加速し、賃金ず利益が䞊昇し始めれば、1999幎のような株匏垂堎のメルトアップが起こり埗る。しかし最終的には、むンフレを抑えるためにFRBは利䞊げ堎合によっおは急激な利䞊げを行う必芁があり、それが次の景気埌退を招く可胜性がある。 䞋方リスクの範囲はより広い。 本四半期報告党䜓で論じた通り、景気埌退の匕き金になり埗る芁因は様々ある特に䞭囜が景気刺激に倱敗するこずや、消費者の信頌の喪倱などである。䞀郚の景気埌退モデルは今埌12か月のリスクを最倧30ず芋積もっおいるチャヌト27。構造的に芋お、最倧のリスクはおそらく米囜における䌁業債務の高氎準であるチャヌト28。昚幎12月に短期間芳枬されたようなゞャンク債垂堎の厩壊は、今埌18か月で満期を迎える倧量の債務を䌁業が借り換えできなくなる事態を招く可胜性がある。 地政孊的リスクも䟝然ずしお高止たりしおおり、その性質䞊予枬が困難である。ブレグゞットの垰結は䟝然ずしお非垞に䞍確実であるが、合意なき離脱のリスクは䜎いず芋おいる。米䞭の貿易協議は包括的な合意なく長期化するず予想しおおり、明確な決裂はネガティブである。トランプ倧統領の匟功はおそらく垂堎にずっお重倧な出来事ではないが、垂堎心理を䞀時的に悪化させる可胜性がある特にそれが゚リザベス・りォヌレンの圓遞可胜性を高める堎合。むランずサりゞ間の玛争が゚スカレヌトする可胜性もある。これらの脅嚁を織り蟌むためにリスクプレミアムは䞊昇する必芁があるかもしれない。 チャヌト26FRBは過床にハト掟になっおいるのか ç±³FRBはハト掟に傟きすぎおいるのか ç±³FRBはハト掟に傟きすぎおいるのか チャヌト27景気埌退のリスクはどの皋床か 景気埌退のリスクは 景気埌退のリスクは チャヌト28䌁業債務が最倧のリスクか 䌁業債務は最倧のリスクか 䌁業債務は最倧のリスクか   脚泚 1詳现はグロヌバル・アセット・アロケヌション・スペシャル・レポヌト、「ナヌロ圏の銀行バリュヌ・プレむかバリュヌ・トラップか」2018幎12月14日付、gaa.bcaresearch.comで入手可胜。 2詳现はフォヌリン・゚クスチェンゞ・ストラテゞヌ・スペシャル・レポヌト、「英囜埪環的枛速か構造的停滞か」2019幎9月20日付、fes.bcaresearch.comで入手可胜。 3詳现はグロヌバル・アセット・アロケヌション・クォヌタリヌ、「クォヌタリヌ - 2019幎4月」2019幎4月1日付、gaa.bcaresearch.comで入手可胜。 4詳现はグロヌバル・むンベストメント・ストラテゞヌ・りィヌクリヌ・レポヌト、「債刞利回りは底を打った,」2019幎9月6日付、gis.bcaresearch.comで入手可胜。 5詳现はグロヌバル・むンベストメント・ストラテゞヌ・りィヌクリヌ・レポヌト、「゚リザベス・りォヌレンず垂堎,」2019幎9月13日付、gis.bcaresearch.comで入手可胜。 6Dmitry Zhdannikov and Alex Lawler “独占サりゞの石油生産、圓初予想より速く回埩ぞ関係筋,” ロむタヌ、2019幎9月17日付。 7詳现はゞオポリティカル・ストラテゞヌ・スペシャル・アラヌト、「サりゞの重芁むンフラぞの攻撃は米囜の察応に疑問を投げかける」2019幎9月16日付、gps.bcaresearch.comで入手可胜。 8詳现はグロヌバル・アセット・アロケヌション・スペシャル・レポヌト、「むンフレ・ヘッゞのための投資家ガむドむンフレ䞊昇時の投資方法」2019幎5月22日付、gaa.bcaresearch.comで入手可胜。 GAA アセット・アロケヌション