Economy

Special Report

The Hidden Sales Recession Of 2015 In 2015, the nominal sales of global listed companies shrank by -11.3 percent, marginally worse than the -11.0 contraction suffered during the Great Recession of 2008.  But because few people are aware of the depth of this latter sales recession, we are calling it the ‘hidden sales recession of 2015’ (Feature Chart).  Chart I-1The Hidden Sales Recession Of 2015 Significantly, all of the major stock markets suffered sales recessions in 2015, even when their domestic economies were expanding healthily (Chart I-2). Which starkly illustrates that the performance of stock markets often has little, or no, connection with the performance of their domestic economies. Chart I-2All The Major Stock Markets Suffered Sales Recessions In 2015 The euro area and UK economies grew strongly in 2015, yet the nominal sales of listed European companies contracted by -7 percent. Meanwhile, the sales of listed companies in the US shrank -3 percent, and in China by -10 percent. However, among the major stock markets, the worst pain was felt by the UK stock market where total nominal sales plunged -20 percent (Charts 3-5). Chart I-3US Listed Companies' Sales Shrank 3 Percent Despite A Growing Economy Chart I-4European Listed Companies' Sales Shrank 7 Percent Despite A Growing Economy Chart I-5UK Listed Companies' Sales Shrank 20 Percent Despite A Growing Economy The particularly sharp contraction in UK stock market sales, with their heavy exposure to the oil and resource sectors, points to the cause of the sales recession of 2015: the interrelated weakness in emerging markets, oil and other commodity prices, and a surging dollar. What Caused The Hidden Sales Recession Of 2015? In 2015, Chinese policymakers started tightening policy to lean against a putative credit bubble. This exacerbated a slowdown in Chinese growth that was already underway. In turn, China’s slowdown set off a domino effect in other emerging economies which relied on China as a major export market. Meanwhile, the Federal Reserve signalled its intention to exit its extended period of zero interest rate policy, arguing that extraordinarily easy monetary policy was no longer appropriate for a US economy that had returned to normality. On the other sides of the Atlantic and Pacific though, the ECB and the BoJ were moving monetary policy in the opposite direction, obsessed by the persistent undershoot of inflation relative to the two percent target. This combination of tighter monetary policy in the US combined with looser policy in the euro area and Japan precipitated a surge in the value of the dollar. The surging dollar worsened China’s problems. With the yuan pegged to the dollar, the stronger dollar hurt the competitiveness of Chinese companies. But when China loosened the peg in August 2015, it just unleashed another problem: capital outflows.  The price of WTI plunged from a $107 peak in mid-2014 to just $27 in early 2016. Crucially, the synchronized slowdown across emerging economies hit the demand for commodities, catalysing a collapse in prices across the whole commodity complex. The price of WTI plunged from a $107 peak in mid-2014 to just $27 in early 2016 (Chart I-6); metal markets also suffered, the copper price fell from $7000 to $4500; as did agricultural commodities like soybeans whose prices almost halved. This collapse in commodity prices simply added further pressure on emerging economies that are major commodity producers, like Brazil. Chart I-6The Sales Recession Of 2015 Was About A Collapse In Prices In Key Sectors Of The Economy In turn, the problems in the emerging economies and commodity complex set off other negative feedback loops that further hurt prices. For the significant portion of emerging market debt that is denominated in dollars, a stronger dollar meant a greater debt burden and danger of default. At the same time, the collapse in the oil price endangered the financial viability of the heavily indebted US shale oil producers and thereby their corporate bonds.     To summarise, the stock market sales recession of 2015 was partly about a slowdown in sales volumes. But it was more about a collapse in the prices in certain key sectors of the economy, namely oil, materials, and industrials. And as nominal sales are the product of sales volumes and prices, the nominal sales of listed companies suffered as sharp a recession in 2015 as in 2008. Why Does The Hidden Sales Recession Of 2015 Matter Today? The experience of 2015 painfully illustrates that the nominal sales of the dominant companies in a stock market may have little, or no, connection with their domestic economy, or indeed with conventional measures of the global economy. The reason is that the stock market, which by definition only includes publicly listed companies, has different sector skews compared with the whole economy. This is particularly true for those European stock markets where sector skews make them over exposed to the oil, materials, and industrial sectors, whose output prices can show wild swings that swamp the impact of sales volumes. The years 2010-11 and 2017-18 witnessed a strong catch-up in listed companies’ nominal sales. But after this snapback phase, nominal sales revert to a more moderate trend-like rate of growth. Chart I-7After A Sales Recession, There Is A Snapback There is another important message for today. After a sharp contraction in nominal sales caused by either volumes or prices plunging, as in 2008 and 2015, the first part of the recovery from overly-depressed levels tends to be the sharpest. This sharp snapback phase tends to last no more than two years. So the years 2010-11 and 2017-18 witnessed a strong catch-up in listed companies’ nominal sales. But after this snapback phase, nominal sales revert to a more moderate trend-like rate of growth (Chart I-7). Clearly, the sharp snapback phase is most powerful for the most beaten-up sectors during the nominal sales recession, such as energy and materials. For such ‘value cyclicals’, nominal sales growth tends to outperform that of the aggregate stock market in the snapback, and then underperform once the snapback is over (Chart I-8 and Chart I-9). Chart I-8Energy Outperforms In The Snapback, Then Underperforms Chart I-9Materials Outperform In The Snapback, Then Underperform Chart I-10Healthcare Underperforms In The Snapback, Then Outperforms The corollary is that the sectors that did not suffer much during the sales recession, such as healthcare do not have a snapback phase. Hence, for such a ‘growth defensive’, nominal sales strongly underperform the aggregate market during the two year snapback, and then outperform once the snapback is over (Chart I-10). Let’s conclude with some brief investment thoughts. First, for mainstream stock markets, nominal sales and earnings can grow in 2020, but the growth rate will not be as strong as in the snapback phase of 2017-18. Without any support from lower bond yields and the associated multiple expansion for stocks, this means that stock markets are likely to deliver low single digit returns. Second, value cyclicals such as energy and materials outperformed in the snapback phase from 2017 to mid-2019, but now appear to be rolling over into an underperformance phase. Structurally underweight energy and materials. For mainstream stock markets, nominal sales and earnings can grow in 2020, but the growth rate will not be as strong as in the snapback phase of 2017-18.  Third, a growth defensive such as healthcare underperformed sharply in the snapback phase, but now appears to be back in an outperformance phase. Stay structurally overweight healthcare.   Dhaval Joshi Chief European Investment Strategist dhaval@bcaresearch.com

Highlights Global High-Yield: The widening of US Caa-rated high-yield spreads is narrowly focused in Energy-related companies. The conditions for a spillover into the broader junk bond market (tight monetary policy, tightening lending standards & deteriorating corporate health) are not currently in place. Stay overweight high-yield in both the US and euro area, where Caa-rated spreads have also widened. Australia: A sluggish economy and soggy inflation, with little evidence of an imminent turnaround, imply that the Reserve Bank of Australia may not be done with its rate cutting cycle. Maintain an overweight stance on Australian sovereign debt relative to global benchmarks. Feature There’s Nothing To “Caa” Here The clouds of pessimism on global growth, and financial markets, continue to slowly dissipate. The global manufacturing PMI has clearly bottomed, our rising global leading economic indicator is signaling more upside for the first half of 2020, equity markets worldwide are grinding higher, volatility is subdued, while corporate credit spreads in the US and Europe remain generally tight. Yet within the corporate bond market, a peculiar dynamic has emerged. We do not see a reason to extrapolate the weakness in lower-rated US junk bonds into a broader macro issue for the corporate bond market, and the US economy. The option-adjusted spread (OAS) for the overall Bloomberg Barclays US high-yield (HY) index now sits at 376bps. While this spread is relatively narrow from a longer-term perspective, investors may have become more discerning about credit risk. Lower-rated HY has dramatically underperformed higher-rated HY debt of late, with the US Caa-rated OAS now sitting at 985bps compared to Ba-rated spreads of 196bps (Chart of the Week). The divergence across credit tiers is unprecedented, in that Caa spreads are widening while Ba spreads are narrowing – typically, spreads move in tandem directionally, both in bull and bear markets for US junk bonds. The widening of US Caa-rated junk bond spreads has started to raise concerns that this is a “canary in the coal mine” signaling future financial stress among US corporate borrowers. Yet the same dynamic is occurring in euro area HY, with Caa-rated and Ba-rated spreads tracking the US on an almost tick-for-tick basis. In a report published yesterday, our colleagues at BCA Research US Bond Strategy investigated the history of Caa spread widenings dating back to 1996.1 They noted that Caa spread widening has typically been a good predictor of one-year-ahead negative excess returns for the overall US junk bond index. However, there has never been a period like today where Caa spreads have widened while overall HY spreads have remained stable. Chart of the WeekSome Odd Divergences In Global Credit We do not see a reason to extrapolate the weakness in lower-rated US junk bonds into a broader macro issue for the corporate bond market, and the US economy, for two main reasons: Chart 2Lower Energy Prices Hurt Lower Rated US HY 1) The widening is focused on Energy related debt The widening of US Caa-rated spreads in 2019 has occurred alongside a parallel increase in the spreads of Energy-related companies in the US junk bond universe (Chart 2). A similar trend played out during the 2014/15 HY bear phase, which was triggered by the collapse of world oil prices that ravaged the US shale oil industry which dominated the lower-rated tiers of the junk bond market. In 2019, oil prices have declined, although not as dramatically, and HY Energy spreads have widened but to nowhere near the levels seen five years ago. More importantly, non-Energy junk spreads remain very subdued and stable, unlike the case in 2014/15 (bottom panel). When looking at the 2019 year-to-date excess returns for the Bloomberg Barclays US HY index, it is clear that the overall negative returns for the Caa-rated bucket have been driven by the lagging performance of Energy names (Chart 3). The rest of the market has generally been delivering solid excess returns. Chart 3Contribution To 2019 YTD US HY Excess Returns* 2) The widening has not been confirmed by signals from other reliable credit cycle indicators We believe that, from a top-down macro perspective, corporate credit performance in the US is influenced by three main factors: the state of US corporate health, the stance of the Fed’s monetary policy and the trend in lending standards for US banks. We have dubbed this our “Credit Checklist”, and we present a version of that checklist for US high-yield in Chart 4. Chart 4Conditions Not In Place For A Broad US HY Selloff Our “bottom-up” US HY Corporate Health Monitor (CHM) aggregates, for a sample set of US HY issuers, published financial ratios that are typically used to determine the creditworthiness of borrowers – measures like interest coverage, operating margins and leverage. The US HY CHM is currently at a “neutral” reading (2nd panel), unlike past periods where Caa-rated spreads widened sharply: during the early 2000s telecom bust, the 2008 Financial Crisis and the 2014/15 collapse in oil prices. The readings for the three components of our US HY Credit Checklist are all at neutral levels, suggesting that there is no fundamental underpinning at the moment for a sustained increase in US HY spreads. Yet another reason why the latest widening of Caa-rated spreads looks unusual. Turning to measures of the stance of US monetary policy, we look at both the slope of the US Treasury curve (2-year vs 10-year) and the gap between the real fed funds rate and the New York Fed’s estimate of the neutral “r-star” rate. Prior to the early 2000s and 2008 blowout in Caa spreads, the Fed had pushed the real funds rate into restrictive territory above r-star, and the Treasury curve subsequently inverted. That was not the case during the 2014/15 Caa widening, as the Fed was only beginning to transition away from its QE/zero-rate era at that time. Currently, the real funds rate is right at r-star, and the Treasury curve is very flat but not inverted, indicating a broadly neutral monetary policy stance. Finally, we look at data from the Fed’s Senior Loan Officer Survey to evaluate lending standards for US banks. On that front, the latest reading on standards for commercial and industrial loans showed a very modest tightening in the third quarter of 2019, but the overall level remains broadly neutral – unlike the sharp tightening of conditions seen in the early 2000s and 2008 (and the modest tightening in 2014/15). The readings for the three components of our US HY Credit Checklist are all at neutral levels, suggesting that there is no fundamental underpinning at the moment for a sustained increase in US HY spreads. Yet another reason why the latest widening of Caa-rated spreads looks unusual, rather than a sign of future stress in US credit markets. We even see a similar dynamic at work in the euro area. In Chart 5, we present a Credit Checklist for euro area HY, using the same indicators that go into our US HY Credit Checklist. The readings here are even more positive for corporate credit performance than in the US. Our euro area bottom-up HY CHM is showing no deterioration of euro area corporate health, the real ECB policy rate is well below the estimate of r-star, the German yield curve is not inverted and the ECB’s survey of euro area bank lending standards showed a modest easing in the third quarter. Just like in the US, the fundamental backdrop does not argue for a sustained period of euro area HY spread widening, making the latest move higher in euro area Caa spreads as unusual as the move in US Caa. We cannot even blame lower oil prices for the spread widening, as Energy represents only a tiny fraction of the euro area HY market, compared to the large weighting of Energy borrowers in the US junk bond universe. Chart 5Conditions Not In Place For A Broad European HY Selloff We suspect that the correlation between US and euro area HY spreads, by credit tier, has more to do with the increased correlation of trading within global credit markets. Or perhaps it is a sign of investors staying cautious and staying up in quality, even within the riskier HY market. Whatever the reason, we see little fundamental reason to expect the widening of Caa-rated spreads to leak into the broader high-yield market. In fact, if oil prices begin to move higher again, as our commodity strategists are expecting for 2020, that might create a tactical buying opportunity in Caa-rated junk bonds in both the US and euro area. In the meantime, we see no reason to change our recommended overweight stance on US and euro area HY corporate bonds, even with the widening of lower-rated spreads. Bottom Line: The recent widening of US Caa-rated high-yield spreads is narrowly focused in Energy-related companies. The conditions for a spillover into the broader junk bond market (tight monetary policy, tightening lending standards & deteriorating corporate health) are not currently in place. Stay overweight high-yield in both the US and euro area, where Caa-rated spreads have also widened. Australia: The RBA May Not Be Done Yet The rally in Australian government bonds has been driven by the dovish policy response from the Reserve Bank of Australia (RBA) to weak economic growth and tepid inflation – a backdrop that is showing little sign of reversing quickly. We have maintained a recommended overweight investment stance on Australian government bonds since December 19, 2017. Since then, the yield on Bloomberg Barclays Australian Treasury index has declined by -140bps, sharply outperforming bonds in the other developed markets and ending Australia’s long-time status as a “high-yielding” developed economy bond market (Chart 6). The rally in Australian government bonds has been driven by the dovish policy response from the Reserve Bank of Australia (RBA) to weak economic growth and tepid inflation – a backdrop that is showing little sign of reversing quickly. The central bank has already cut interest rates by 75bps this year, taking the Cash Rate down to a record low of 0.75%. At the November 5th monetary policy meeting, the RBA held off on additional easing but still delivered what was perceived by the market to be a dovish surprise, emphasizing persistently below-target inflation and potential downside risks stemming from the housing market. The door was kept wide open for further rate cuts, if necessary. RBA Governor Philip Lowe has even discussed the possibility that the RBA may have to cut rates to the zero bound and start buying assets via quantitative easing to try and restore inflation back to the midpoint of the RBA’s 2-3% target band. Chart 6Australian Bonds Have Outperformed Sharply   The RBA’s dovishness is justified, given sluggish economic growth and tepid inflation. Real GDP growth slowed sharply in the first half of 2019 to a meager 1.4% on a year-over-year basis (Chart 7). Consumer sentiment and business confidence remain depressed, having both declined since the start of the year. The former is being hit by weak house prices and sub-par income growth, while the latter is suffering under the weight of weaker demand from Australia’s most important trade partner, China. In addition, persistent drought conditions in much of the country have pushed up food prices and brought down incomes related to the farming sector. Chart 7Sluggish Australian Domestic Demand Chart 8From Boom To Bust In Australian Housing A bellwether for the Australian economy, the housing market, has not fared much better (Chart 8). Building approvals for new dwelling units have fallen almost 20% since September of last year, while house prices in the major cities have been contracting since the fourth quarter of 2017. Responding to easy financial conditions in Australia and the rest of the world, the standard variable mortgage rate has now fallen to a 60-year low. It remains to be seen how quickly the housing market will turn around and when that, in turn, will lift dwelling investment, but the RBA cuts in 2019 should give a bit of a lift to Australian housing in 2020. As in other developed markets, trade uncertainty and fears of a recession have made Australian firms more hesitant to invest. Real private business investment is now falling in year-over-year terms, even with the boost to the terms of trade (and corporate profits) from the increase in prices for Australia’s most important commodities seen in 2019 (Chart 9). That impact may be starting to fade, however. The price for iron ore – a major Australian commodity export – has already fallen 28% from the 2019 peak. In addition, Chinese iron ore imports from Australia are contracting in year-over-terms, even with Chinese growth starting to show signs of stabilization in response to stimulus measures implemented earlier this year. Those is an ominous signal for Australian growth, given the massive swing in net exports seen this year. Chart 9Terms Of Trade Turning Negative For Australian Capex Chart 10An Unsustainable Lift From Net Exports Driven by the persistent depreciation of the Australian dollar, and supportive terms of trade, the Australian trade balance has reached its highest value as a percent of nominal GDP (3.7%) since 1959, when quarterly data began (Chart 10). The surge has come almost entirely from the export side, occurring alongside the boost to commodity prices that was concentrated in iron ore, and looks both unsustainable and unrepeatable on a rate-of-change basis. Slowing Australian economic momentum has also impacted the labor market. Employment growth is slowing and the unemployment rate has ticked up to 5.3% from a cyclical low of 5% in February 2019 (Chart 11). The so-called “underemployment rate”, is a much higher 8.5%, indicating that there is still ample slack in the Australian labor market as workers are working fewer hours than they wish (and are hence, “underemployed”). The underemployment rate is negatively correlated to wage growth, suggesting that the modest upturn in the latter seen since the end of 2016 is likely to cool off (bottom panel). Chart 11Some Softening In The Australian Labor Market Chart 12Australian Inflation Remains Subdued The RBA has already warned that wage growth expectations may have become anchored at a lower level given the anemic growth over the past several years. That mirrors the trend seen in overall price inflation. Headline CPI inflation was only 1.6% in the third quarter of 2019, as was the “trimmed mean” CPI inflation rate that is favored by the RBA. Both are below the bottom end of the RBA’s target range of 2-3%, as are survey-based expectations of short-term inflation (Chart 12). The previously mentioned drought conditions have put some upward pressure on overall inflation via grocery food prices, but that is expected to be transitory. With depressed house prices and ongoing issues with spare capacity in the labor market, longer-term market-based inflation expectations, captured by the 5-year/5-year forward CPI swap rate, have dipped below the 2% level. The combination of weakening growth and soggy inflation poses a problem for the RBA, as it tries to use monetary policy tools to reverse those trends at a time when Australian banks have seen an unprecedented level of scrutiny of their lending practices. Australian banks have been under the harsh political spotlight after the government’s Royal Commission on misconduct in the financial industry released its findings back in February of this year. Many banks were exposed for serious violations, including money laundering and “improperly” selling financial products to households. Several top bank executives lost their jobs as a result, with the overall industry duly chastised and humbled.  Australian banks remain well capitalized, following the path of most developed market banks in response to the Basel III reforms, while non-performing loans remain modest. Yet the risk moving forward is that Australian banks become more prudent in their lending practices after the public “flogging” they received this year, which may impair the transmission mechanism from low RBA policy rates to increased loan growth - and, eventually, faster economic activity. Already, private credit growth has slowed sharply, with the sharpest declines coming for housing and business lending (Chart 13). Investment implications for Australian bonds In the case of Australia, however, the underlying economy and inflation trends still point to a possibility that the RBA will have to ease again sometime in the next few months – a move that is unlikely to be matched in the other major developed markets. This likely means that Australian government bonds can continue to outperform in 2020. Despite signs that the global economy is starting to bottom out after the 2019 downturn, the momentum in Australian economic growth and inflation remains tepid. This suggests that Australian sovereign debt is likely to continue outperforming global peers on a relative basis over the next 6-12 months. Our RBA Monitor continues to signal that more interest rate cuts from the RBA are needed. Yet the Australian Overnight Index Swap (OIS) curve now discounts only 19bps of rate cuts over the next year (Chart 14). This mirrors the trend seen in other developed interest rate markets, as investors have shifted to pricing out the dovish policy expectations as global growth starts to improve. Chart 13Weakening Loan Demand, But No Credit Crunch Chart 14Stay Overweight Australian Government Bonds In the case of Australia, however, the underlying economy and inflation trends still point to a possibility that the RBA will have to ease again sometime in the next few months – a move that is unlikely to be matched in the other major developed markets. This likely means that Australian government bonds can continue to outperform in 2020. We advise staying strategically overweight Australian government bonds in global fixed income portfolios. Bottom Line: A sluggish economy and soggy inflation, with little evidence of an imminent turnaround, imply that the Reserve Bank of Australia may not be done with its rate cutting cycle. Maintain an overweight stance on Australian sovereign debt relative to global benchmarks.     Robert Robis, CFA Chief Fixed Income Strategist rrobis@bcaresearch.com   Shakti Sharma Research Associate ShaktiS@bcaresearch.com     Footnotes 1    Please see BCA Research US Bond Strategy Weekly Report, “Caa-Rated Bonds: Warning Sign Or Buying Opportunity?”, dated November 26, 2019, available at usbs.bcaresearch.com. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns

Special Report

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

Highlights Monetary policy settings should continue to sustain the expansion,… : Tight monetary policy is a precondition for a recession. Although the line separating tight from easy is a matter of judgment, current Fed policy is squarely accommodative.  … and the building blocks of GDP confirm that recession is not an imminent threat: A robust labor market and fortified household balance sheets should continue to support consumption; the fixed investment outlook is okay as long as trade tensions don’t wreck business confidence; and the fiscal taps are likely to remain open throughout 2020. Housing will not get in the way of the economy or the markets: Mortgage rates have fallen since we examined housing dynamics in a two-part Special Report this time last year, and residential investment will increasingly reflect it. We project that the beginning of the next recession is about two years away, and that the equity and credit bull markets still have room to run: We are not perma-bulls, but there’s no evidence that the long bull run is about to end. Feature We view the study of key cycles – the business cycle, the credit cycle, the monetary policy cycle and the sentiment cycle – as an essential element of investment strategy. The monetary policy cycle has been especially critical throughout the long expansion and bull market because it has held sway over the business cycle and the credit cycle since the crisis. We have also found that it exerts a powerful influence on equity returns: for six decades, stocks have done very well when policy is easy, but they have failed to generate positive real total returns when it’s tight. There is far more to investment returns than monetary policy, but a simple strategy of embracing risk during easy-policy phases of the fed funds rate cycle and limiting exposure to it when policy is tight has been a big winner over time. Although the fed funds rate cycle has been an especially valuable input in our process, it relies on an estimate. The equilibrium, or neutral, fed funds rate cannot be directly observed. We can only infer when the target fed funds rate crosses above or below it by observing actual economic performance. We continually review real-time data to gauge whether our equilibrium estimate is in the ballpark. As a formal check on that estimate, we regularly examine the building blocks of GDP for insight into where the business cycle is going. We update our review of the GDP equation in this report, and conclude that the expansion should remain on track over the next six to twelve months. We also provide an update on housing a year after our dedicated Special Reports on the topic, finding that it is unlikely to derail the expansion. The GDP Equation – Consumption As we all learned in Introductory Macroeconomics, GDP is the sum of consumption (C), investment (I), government spending (G) and net exports (X-M). As net exports are insubstantial in the comparatively closed US economy, US GDP growth reduces to the weighted sum of growth in consumption, investment and government spending, with consumption accounting for two-thirds of growth and investment and government spending accounting for one-sixth each. GDP = C + I + G Month-to-month moves in real retail sales and personal consumption expenditures (PCE) are volatile, but both series have recovered from their late-2018 softness to get back to their mean for this cycle, somewhat below the means of the previous two expansions (Chart 1). The activity supports our constructive take at the time of our initial review of the GDP equation in April,1 but the choppy series do not provide much insight into the consumption outlook. Looking forward involves examining households’ income prospects and balance sheets to project the money that will be coming in, and consumers’ ability and willingness to spend it. Chart 1Consumption Has Been Holding Up Well Labor market conditions drive household income, and they remain quite tight. The number of unfilled job openings continues to exceed the number of unemployed workers (Chart 2), indicating that demand for employees remains strong. An elevated quits rate indicates that employers are competing fiercely to meet that demand, even to the point of poaching employees from one another (Chart 3). Our payrolls model projects that employment growth will stay close to its pace of the last several years (Chart 4, top panel), as small businesses have ambitious hiring plans (Chart 4, second panel), temporary employment is still growing (Chart 4, third panel), and the 26-week moving average of initial unemployment claims is only slowly beginning to rise (Chart 4, bottom panel). Chart 2With More Jobs Than Workers, ... Chart 3... Employees Can Seek Out Greener Pastures Chart 4Payrolls Will Keep Expanding Wages are already growing around 3% year-over-year, and the tight labor-market backdrop should promote further gains. With employers forced to bid up wages to attract a shrinking pool of available workers, we expect that wage growth will peak somewhere above 3.5% before the cycle ends. Humans’ ability to see into the future does not extend beyond six to twelve months, but we are confident that more households will be working by the middle of 2020 than are working now, and that they’ll be earning more, in real terms. Households don't have to spend their income gains, but they're in a comfortable position to do so after several years of building up savings and working down debt. Households won’t necessarily spend all of their income gains. They may choose to direct them to paying down debt or increasing savings. Their balance sheets suggest they don’t have a need to do so, however, as the savings rate is back to early ‘90s levels above 8% (Chart 5, top panel), nearly all the debt as a share of GDP that they took on in the last expansion has been worked off (Chart 5, middle panel), and their aggregate debt service burden is lower now than it has been at any point in the last 40 years (Chart 5, bottom panel). Not only do households face little pressure to save their coming income gains, they have plenty of capacity to borrow to augment them. Chart 5Household Finances Are Solid The GDP Equation – Investment And Government Spending Investment accounts for just a sixth of GDP, but its volatility gives it a greater likelihood of tipping the economy into a recession than either consumption or government spending (Chart 6). Per the surveys we use to anticipate capital expenditures, the change since April is mixed. Small business capital spending plans as reported in the NFIB survey have ticked up and remain elevated (Chart 7, top panel), while capex intentions from the regional Fed manufacturing surveys have continued to slip and are only around their historical mean (Chart 7, bottom panel). We expect that the trade negotiations will exert a powerful near-term pull on corporate capex; if the US and China reach some sort of accord, capex should pick up, but if tensions worsen, corporate confidence will decline and capex may outright contract. Our base case calls for a modest détente around a Phase 1 agreement, so we do not expect that investment will break down, but it is the most vulnerable component of GDP and we are watching it closely. Chart 6Investment Is The Swing Factor Chart 7The Capex Outlook Is Only Okay, ... Government spending, on the other hand, doesn’t merit a whole lot of attention right now. It is a stable series that accounts for a modest share of GDP and for most of the postwar era, it was reliably countercyclical, shrinking when times were good and expanding when times were bad (Chart 8). The gaping divergence between the federal deficit and economic performance bodes ill for Treasuries and the dollar over the long term, but it shows that there’s no appetite for reining in federal spending ahead of the most hotly contested election campaign in recent memory. State and local spending accounts for about 60% of all government spending, and the strong labor market will boost state receipts, which come from income and sales taxes, while steady home price appreciation will support property tax receipts (Chart 9), keeping municipal coffers full. The longer-term implications of the debauched federal budget are unpleasant, but government profligacy will help sustain the expansion through the end of next year. Chart 8... But The Fiscal Party Rages On Chart 9Home Price Gains Will Fill Local Government Coffers Housing Residential investment finally broke out of a six-quarter string of detracting from GDP growth last quarter, though its drag in the first half of the year was modest. Residential investment may not exert the sway over the economy that it did earlier in the postwar era when the suburbs were being created from scratch, but its interest rate sensitivity makes it a good proxy for the effect of monetary policy on the economy. Housing has picked up as mortgage rates have fallen, and rates’ lagged effect suggests that more gains are in store (Chart 10). A high level of affordability should keep the momentum going (Chart 11), and new household formations continue to outstrip housing starts (Chart 12, top panel), at a time when inventories (Chart 12, middle panel) and vacancies (Chart 12, bottom panel) are historically low. Chart 10The Full Effect Of Lower Rates Is Yet To Be Felt Chart 11Affordability Is High, ... Chart 12... And Supply Is Tight We continue to believe that housing poses no threat to the expansion. New home sales should pick up as builders address the undersupply of homes for first-time and first move-up buyers. The cap on itemized deductions imposed by the December 2017 revision to the federal tax code does not appear to have had a material impact on regional sales activity, and the relationship between top marginal income tax rates2 and home price appreciation since the tax act passed is weak (Chart 13). The bottom line is that residential investment is more likely to boost fixed investment over the next year than it is to detract from it. Chart 13Post-Act Home Price Appreciation Among 20-City Case-Shiller Constituents Investment Implications The underlying elements of the GDP equation support our monetary policy-driven assessment that the expansion will keep chugging along. A robustly healthy labor market will support wage gains, and household balance sheets have firmed up enough to allow consumers to spend their increased income. Surveys indicate that fixed investment does not present a major economic headwind, and positive trade developments could turn it into a tailwind. Government spending will be well supported through 2020. It would be consistent with history if this bull market didn't end until it made one more big push higher. Recessions and bear markets coincide, so the equity bull market should persist until the next recession is in sight. Spread product should also continue to outperform Treasuries and cash, especially while lenders are desperately seeking incremental carry. We reiterate our broad recommendation to overweight equities and spread product, while underweighting Treasuries, and urge investors with more conservative mandates to remain at least equal weight equities and spread product. Excesses in the real economy or the financial markets are a recession prerequisite, and it is quite possible that the excesses that precipitate the next recession will not emerge until after stocks make another significant move higher. We want to be positioned to participate in that move, which would be consistent with bull markets’ established tendency to sprint to the finish line.   Doug Peta, CFA Chief US Investment Strategist dougp@bcaresearch.com Footnotes 1 Please see the April 8, 2019 US Investment Strategy Weekly Report, “If We Were Wrong,” available at www.bcaresearch.com 2 The 2017 Act capped the amount of state and local tax payments household filers could claim as itemized deductions, severely reducing the federal government’s homeownership subsidy. Residents of states with high income tax rates lost the most from the change, but those states’ housing markets have not yet experienced disproportionately negative impacts.

Dear Client, In addition to this short weekly report, you will also receive our 2020 outlook, published by the Bank Credit Analyst. Next week, I will be on the road visiting clients in South Africa. I hope to report my discussions and findings the following week. Best regards, Chester Ntonifor Highlights According to a simple attractiveness framework, the most desirable currencies are the Norwegian krone, the Swedish krona, and the Japanese yen. The least attractive are the New Zealand dollar and the British pound. Take profits soon on our long GBP/JPY position. Feature In this report, we use a simple framework for ranking G10 currencies. First, we consider the macroeconomic environment using as proxies a country’s basic balance and external vulnerability. Next, we look at valuation metrics,  surveying a variety of both short-term and longer-term models. Finally, we consider positioning, to gauge if our view is mainstream or out of consensus. Below are our results. Basic Balance Chart I-1Basic Balance We consider the basic balance to be one of the most important concepts in determining the attractiveness of a currency. In a nutshell, it captures the ebb and flow of demand for a country’s domestic assets. Persistent basic balance surpluses are usually associated with an appreciating currency and vice versa. The euro area sports the best basic balance surplus in the G10 universe, followed by Norway and then Australia (Chart I-1). In simple terms, this means there is constant strong underlying demand for these currencies - either for domestic goods and services, or for investment into portfolio assets. The UK and the US rank the worst in terms of basic balances, driven by Brexit uncertainty and the ebbing of tax reform benefits in the US. We will explore balance of payments dynamics within all of the G10 countries in detail next week. External Debt A currency is sometimes only as vulnerable as its external liabilities. In an absolute sense, external debt as a share of GDP is highest in the UK, euro area, and Switzerland (Chart I-2). However, what matters most times for vulnerability are net external assets rather than gross liabilities. On this measure, Japan, Switzerland, and Norway are the most attractive countries, while the US and Australia rank the worst (Chart I-3). Chart I-2External Vulnerability Chart I-3US Is Least Attractive Purchasing Power Parity (PPP) Chart I-4PPP Model Various models have shown PPP to be a very poor tool for managing currencies, but an excellent one at extremes. However, there is a roadblock that comes from measurement issues, since consumer price baskets tend to differ in composition from one country to the next. In order to get closer to an apples-to-apples comparison across countries, two adjustments are necessary. First, categorizing the consumer price index (CPI) into five major groups. In most cases, this breakdown captures 90% of the national CPI basket. This includes food, restaurants and hotels (1), shelter (2), health care (3), culture and recreation (4), and energy and transportation (5). The second adjustment is to run two regressions with the exchange rate as the dependent variable. The first regression (call it REG1) uses the relative price ratios of the five groups as independent variables. This allows us to observe the most influential price ratios that help explain variations in the exchange rate. The second regression (call it REG2) uses a weighted average combination of the five groups to form a synthetic relative price ratio. If, for example, shelter is 33% in the US CPI basket, but 19% in the Swedish CPI basket, relative shelter prices will represent 26% of the combined price ratio. This allows for a uniform cross-sectional comparison, as opposed to using the national CPI weights. The US dollar is overvalued, especially versus the Swedish krona, Japanese yen, and Norwegian krone.  The results show the US dollar as overvalued, especially versus the Swedish krona, Japanese yen, and Norwegian krone. Commodity currencies are closer to fair value, and within the safe-haven complex, the Japanese yen is more attractive than the Swiss franc. The euro is less undervalued than implied by the overvaluation in the DXY index (Chart I-4). Intermediate-Term Timing Model (ITTM) Back in 2016, we developed a set of currency indicators to help global portfolio managers increase their Sharpe ratio in managing currency exposure. The idea was quite simple: For every developed world country, there were three key variables that influenced the near-term path of its exchange rate versus the US dollar. Our intermediate-term timing models are not sending any strong signals at the moment.  Interest Rate Differentials: Under the lens of interest rate parity, if one country is expected to have lower interest rates versus another, the incumbent’s currency will fall today so as to gradually appreciate in the future and nullify the interest rate advantage. Chart I-5Intermediate-Term Model Inflation Differentials: Assuming no transactional costs, the price of sandals cannot be relatively high and rising in Mumbai versus Auckland. Either the Indian rupee needs to fall, the kiwi rise, or a combination of the two has to occur to equalize prices across borders. Risk Factor: Exchange rates are not government bonds in that few treasury departments and central banks can guarantee a par value on them. Ergo, the ebb and flow of risk aversion will have an impact on the Norwegian krone as well as the yen. For the most part, our models have worked like a charm. On a risk-adjusted return basis, a dynamic hedging strategy based on our ITTMs has outperformed all static hedging strategies for all investors with six different home currencies since 2001. These results give us confidence to continue running these models as a sanity check for our ever-shifting currency biases. That said, our intermediate-term timing models are not sending any strong signals at the moment. The Swedish krona, Norwegian krone, and New Zealand dollar are the most attractive currencies, while the British pound and Swiss franc are the least attractive (Chart I-5). Long-Term Fair Value Model Chart I-6Long-Term Model Our long-term FX models are also part of a set of technical tools we use to help us navigate FX markets. Included in these models are variables such as productivity differentials, terms-of-trade shocks, net international investment positions, real rate differentials, and proxies for global risk aversion. These models cover 22 currencies, incorporating both G10 and emerging market FX markets. The models are not designed to generate short- or intermediate-term forecasts. Instead, they reflect the economic drivers of a currency's equilibrium. Their main purpose is to provide information on the longevity of a currency cycle, depending on where we are in the economic cycle. Our long-term FX models are not sending any strong signals right now, with the US dollar at fair value. The cheapest currencies are the yen, the Norwegian krone, and Swedish krona (Chart I-6). The priciest currencies are the South African rand and the Saudi riyal. Real Interest Rates One defining feature of the currency landscape is that pretty much across the G10 countries, we have negative real rates (Chart I-7). Within  the G10 universe, the US and New Zealand dollars are the highest-yielding currencies, while the British pound and Swedish krona are the least attractive. Chart I-7Real Rates Speculative Positioning Being long Treasurys and the dollar has been a consensus trade for many years now (Chart I-8). According to CFTC data, this has been expressed mostly through the aussie and kiwi, although our bias is that the Swedish krona and Norwegian krone have been the real victims. Chart I-8Positioning That said, flow data highlights just how precarious being long US dollars is right now. Net foreign purchases by private investors are still positive, but the momentum of these flows is clearly rolling over. This is being more than offset by official net outflows. As interest rate differentials have started moving against the US, so has foreign investor appetite for Treasury bonds. Concluding Thoughts Should the nascent pickup in global growth morph into a synchronized recovery, it will go a long way in further eroding the US’ yield advantage. More specifically, the currencies that have borne the brunt of the manufacturing slowdown should also experience the quickest reversals. For example, yields in Norway, Sweden, Switzerland, and Japan have risen by much more than those in the US since the bottom. The most attractive currencies are the Swedish krona, the Norwegian krone, and the Japanese yen. The least attractive are the British pound and New Zealand dollar. This is the message being sent by an aggregate of our ranking model. The most attractive currencies are the Swedish krona, the Norwegian krone, and the Japanese yen. The least attractive are the British pound and New Zealand dollar (Chart I-9). Take profits soon on our long GBP/JPY position. Chart I-9Favor Norway, Japan and Sweden   Chester Ntonifor Foreign Exchange Strategist chestern@bcaresearch.com Currencies U.S. Dollar Chart II-1USD Technicals 1 Chart II-2USD Technicals 2 Recent data in the US have been mixed: Retail sales grew by 0.3% year-on-year in October. Industrial production contracted by 0.8% month-on-month in October. On the housing market front, building permits and housing starts both increased by 5% and 3.8% month-on-month in October. However, MBA mortgage applications contracted by 2.2% for the week ended November 15th. The NY Empire State Manufacturing index fell to 2.9 from 4 in November. The Philly Fed manufacturing index, on the other hand, soared to 10.4 from 5.6 in November. The DXY index depreciated by 0.3% this week. The FOMC minutes released this Wednesday showed that the Fed now sees little need to further reduce rates. Last week, we did a reassessment of global growth and the USD, and entered a limit sell for the DXY index at 100. Report Links: Place A Limit Sell On DXY At 100 - November 15, 2019 Signposts For A Reversal In The Dollar Bull Market - November 1, 2019 On Money Velocity, EUR/USD And Silver - October 11, 2019 The Euro Chart II-3EUR Technicals 1 Chart II-4UR Technicals 2 Recent data in the euro area have been mostly positive: The seasonally-adjusted trade balance fell to €18.3 billion in September. The current account surplus slightly narrowed by €0.3 billion to €28.2 billion. Headline and core inflation were both unchanged at 1.1% and 0.7% year-on-year respectively in October. Consumer confidence improved from -7.6 in October to -7.2 in November. EUR/USD increased by 0.5% this week. The improvement in soft data confirms that the economy is in a bottoming process in the euro area. The fact that the largest economy, Germany, skirted a recession last week also boosted investor confidence. We continue to remain overweight the euro. Report Links: On Money Velocity, EUR/USD And Silver - October 11, 2019 A Few Trade Ideas - Sept. 27, 2019 Battle Of The Central Banks - June 21, 2019 Japanese Yen Chart II-5JPY Technicals 1 Chart II-6JPY Technicals 2 Recent data in Japan have been positive: Exports decreased by 9.2% year-on-year in October. Imports slumped by 14.8% year-on-year. The total trade balance shifted to a surplus of ¥17.3 billion.  The industry activity index increased by 1.5% month-on-month in September. USD/JPY fell by 0.2% this week. While global growth is set to improve given a possible trade détente and easy monetary policy worldwide, uncertainties continue to loom. The US Senate unanimously passed legislation on the "Hong Kong Human Rights and Democracy Act," adding more difficulties to finalize the Phase I trade deal. Global trade uncertainty is positive for safe-haven demand. Report Links: Signposts For A Reversal In The Dollar Bull Market - November 1, 2019 A Few Trade Ideas - Sept. 27, 2019 Has The Currency Landscape Shifted? - August 16, 2019 British Pound Chart II-7GBP Technicals 1 Chart II-8GBP Technicals 2 Recent data in the UK have been positive: The Rightmove house price index increased by 0.3% year-on-year in November. Public sector net borrowing increased by £3 billion to £10.5 billion in October. The British pound continues to appreciate by 0.7% against the US dollar this week. With Brexit being less of a threat, the pound is poised to rise through next year. We are long GBP/JPY in our portfolio and it is in the money at 6.1%. Report Links: A Few Trade Ideas - Sept. 27, 2019 United Kingdon: Cyclical Slowdown Or Structural Malaise? - Sept. 20, 2019 Battle Of The Central Banks - June 21, 2019 Australian Dollar Chart II-9AUD Technicals 1 Chart II-10AUD Technicals 2 Recent data in Australia have been soft: The Westpac leading index fell by 0.1% month-on-month in October, following a slight decline the previous month. AUD/USD has been more or less flat this week. In the monetary policy minutes released this week, the RBA expressed their expectations for stronger growth at 2.75% in 2020 and around 3% in 2021, supported by accommodative monetary policy, infrastructure spending, stabilizing house prices, and strong steel-intensive activities in China. The minutes also presented an argument against lower interest rates: while lower interest rates can support the economy through the usual transmission channels, they could be negative for savers and confidence. That said, the RBA is "prepared to ease monetary policy further if needed." Report Links: A Contrarian View On The Australian Dollar - May 24, 2019 Beware Of Diminishing Marginal Returns - April 19, 2019 Not Out Of The Woods Yet - April 5, 2019 New Zealand Dollar Chart II-11NZD Technicals 1 Chart II-12NZD Technicals 2 Recent data in New Zealand have been positive: Both output and input components of the producer price index have increased in Q3: the output component grew by 1% quarter-on-quarter and input component by 0.9% quarter-on-quarter. NZD/USD increased by 0.7% this week. Both growth and inflation in New Zealand are showing signs that the economy is in a bottoming process. We are positive on the kiwi against the US dollar while we remain short against the Australian dollar and Swedish Krona. Report Links: Place A Limit Sell On DXY At 100 - November 15, 2019 USD/CNY And Market Turbulence - August 9, 2019 Where To Next For The US Dollar? - June 7, 2019 Canadian Dollar Chart II-13CAD Technicals 1 Chart II-14CAD Technicals 2 Recent data in Canada have been negative: Manufacturing shipments fell by 0.2% month-on-month in September. Both headline and core inflation were unchanged at 1.9% year-on-year in October. ADP employment showed a loss of 22.6K jobs in October. The Canadian dollar fell by 0.6% against the US dollar this week. While a possible trade détente between US and China and rising oil prices could put a floor under the loonie, the pipeline constraints in Canada have dampened the correlation between the oil prices and the loonie.  This will limit the upside potential for the Canadian dollar. Report Links: Making Money With Petrocurrencies - November 8, 2019 Signposts For A Reversal In The Dollar Bull Market - November 1, 2019 Preserving Capital During Riot Points - September 6, 2019 Swiss Franc Chart II-15CHF Technicals 1 Chart II-16CHF Technicals 2 Recent data in Switzerland have been positive: The trade surplus narrowed to CHF 3.5 billion in October from CHF 4.1 billion the previous month, due primarily to growth in imports, which grew by 1.9 billion month-on-month. Exports also increased by 1.3 billion month-on-month. Import demand remains firm for chemical products. Industrial production grew by 8% year-on-year in Q3. USD/CHF increased by 0.2% this week. The trade balance still remains at a high level in Switzerland, which is bullish for the franc. Moreover, global uncertainties could underpin the safe-haven franc. Report Links: Notes On The SNB - October 4, 2019 What To Do About The Swiss Franc? - May 17, 2019 Beware Of Diminishing Marginal Returns - April 19, 2019 Norwegian Krone Chart II-17NOK Technicals 1 Chart II-18NOK Technicals 2 Recent data in Norway have been positive: The trade balance shifted to a surplus of NOK 5.9 billion in October, after a deficit of NOK 1.4 billion in September. However, this is compared to a surplus of NOK 32.6 billion in the same month last year. On a year-on-year basis, exports slumped by 27%, caused by a decrease in exports of mineral fuels and chemical products. The Norwegian krone appreciated by 0.3% against the US dollar this week, supported by the oil price recovery. On Wednesday, the EIA posted an increase of crude oil inventories by 1.4 million barrels from the previous week, lower than expectations. WTI crude oil prices thus surged by 4% on the news. Going forward, we remain overweight energy prices and the Norwegian krone. Report Links: Making Money With Petrocurrencies - November 8, 2019 A Few Trade Ideas - Sept. 27, 2019 Portfolio Tweaks Into Thin Summer Trading - July 5, 2019 Swedish Krona Chart II-19SEK Technicals 1 Chart II-20SEK Technicals 2 Recent data in Sweden have been positive: Capacity utilization increased to 0.5% in Q3, up from 0.1% in the previous quarter. The Swedish krona increased by 0.7% against the US dollar this week. The Swedish krona has depreciated by 23% against the USD since its 2018 peak. A global growth revival is likely to give a boost to the krona from a valuation perspective. Report Links: Where To Next For The US Dollar? - June 7, 2019 Balance Of Payments Across The G10 - February 15, 2019 A Simple Attractiveness Ranking For Currencies - February 8, 2019 Trades & Forecasts Forecast Summary Core Portfolio Tactical Trades Limit Orders Closed Trades