BCA Indicators/Model
GAA DM Equity Country Allocation Model Update The GAA DM Equity Country Allocation model is updated as of November 30, 2016. The model further augmented the overweight to the U.S. despite the fact that the U.S. had already been the largest overweight, at the expenses of the Euro Area. Japan's underweight is reduced again, albeit slightly. The model continues to dislike Canada and Australia even though the two countries have outperformed year to date. U.K. remains the largest underweight (Table 1). Table 1Model Allocation Vs. Benchmark Weights As shown in Table 2 and Chart 1, Chart 2 and Chart 3, the large overweight of the U.S. versus the non-U.S. (Level 1 model) worked well in November with 49 bps of outperformance versus the MSCI World benchmark, the level 2 (allocation within the 11 non-U.S. countries), however, underperformed significantly, resulting the overall model to underperform by 16 bps. Please see also on the website http://gaa.bcaresearch.com/trades/allocation_performance. Table 2Performance (Total Returns In USD) Chart 1GAA DM Model Vs. MSCI World Chart 2GAA U.S. Vs. Non U.S. Model (Level1) Chart 3GAA Non U.S. Model (Level 2) For more details on the models, please see the January 29th, 2016 Special Report "Global Equity Allocation: Introducing the Developed Markets Country Allocation Model." http://gaa.bcaresearch.com/articles/view_report/18850. GAA Equity Sector Selection Model The GAA Equity Sector Selection Model (Chart 4) is updated as of November 30, 2016. Table 3AllocationsTable 4Performance Since Going Live Chart 4Overall Model Performance The momentum component has shifted Consumer Discretionary from underweight to overweight. For mode details on the model, please see the Special Report "Introducing The GAA Equity Sector Selection Model," July 27, 2016 available at https://gaa.bcaresearch.com. Xiaoli Tang, Associate Vice President xiaoli@bcaresearch.com Patrick Trinh, Senior Analyst patrick@bcaresearch.com Aditya Kurian, Research Analyst adityak@bcaresearch.com
The Tactical Asset Allocation model can provide investment recommendations which diverge from those outlined in our regular weekly publications. The model has a much shorter investment horizon - namely, one month - and thus attempts to capture very tactical opportunities. Meanwhile, our regular recommendations have a longer expected life, anywhere from 3-months to a year (or longer). This difference explains why the recommendations between the two publications can deviate from each other from time to time. Highlights In November, the model underperformed global equities and the S&P in USD and in local-currency terms. For December, the model reduced its allocation to cash and stocks and boosted its weighting in bonds (Chart 1). Within the equity portfolio, most of the decrease in allocation came at the expense of EM, Sweden, Netherlands, U.S., and New Zealand. The model increased its weighting in Swedish, French, U.K., and Canadian bonds. The risk index for stocks deteriorated in November, while the bond risk index improved significantly. Chart 1Model Weights Feature Performance In November, the recommended balanced portfolio lost 1.5% in local-currency terms and was down 3.4% in U.S. dollar terms (Chart 2). This compares with a gain of 1.3% for the global equity benchmark, and a 3.7% gain for the S&P 500 index. Given that the underlying model is structured in local-currency terms, we generally recommend that investors hedge their positions, though we do provide recommendations from time to time. The sharp bond selloff and weakness in EM equity markets both took a toll on the model's performance in November. Weights The model cut its allocation to stocks from 66% to 53%, and increased its bond weighting from 26% to 47%. The allocation to cash was brought down to zero from 8%, while commodities remain excluded from the portfolio (Table 1). The model trimmed its allocation to Latin American equities by 4 points, Sweden by 3 points, and the Netherlands by 3 points. Also, weightings were reduced in U.S., New Zealand, Spanish, and Emerging Asian stocks. In the fixed-income space, the allocation to Swedish paper was boosted by 12 points, France by 7 points, Canada by 5 points, the U.K. by 3 points, and Italy by 1 point. Allocation to New Zealand bonds was decreased by 6 points and U.S. Treasurys by 1 point. Chart 2Portfolio Total Returns Table 1Model Weights (As Of November 24, 2016) Currency Allocation Local currency-based indicators drive the construction of our model. As such, the performance of the model's portfolio should be compared with the local-currency global equity benchmark. The decision to hedge currency exposure should be made at the client's discretion, though from time to time, we do provide our recommendations. The dollar appreciated significantly in November following the U.S. presidential election. Our Dollar Capitulation Index spiked and is currently at levels that suggest the rally in the broad trade-weighted dollar could pause (Chart 3). Chart 3U.S. Trade-Weighted Dollar* And Capitulation Capital Market Indicators The momentum indicator for commodities has moved further into overbought territory, pushing up the overall risk index. This asset class remains excluded from the portfolio (Chart 4). The deterioration in the liquidity and momentum indicators has lifted the risk index for global equities to the highest level in over 2 years. Our model cut its weighting in equities for the fourth month in a row (Chart 5). Chart 4Commodity Index And Risk Chart 5Global Stock Market And Risk The risk index for U.S. stocks increased sharply in November. With stocks reaching new highs, the model trimmed its allocation to this bourse. The markets took note of the growth-positive aspects of Trump's policies, but seem complacent about the stronger dollar, higher interest rates, and the potential for trade protectionist policies (Chart 6). The risk index for euro area equities has ticked up slightly in November. However, unlike its U.S. peers, it remains in the low-risk zone. Above-trend growth could provide support for euro area equities. (Chart 7). Chart 6U.S. Stock Market And Risk Chart 7Euro Area Stock Market And Risk The risk index for Dutch equities ticked up slightly and the model has downgraded this asset. That said, the weighting in Dutch equities remains the highest among its euro area counterparts (Chart 8). Improvements in the value and momentum measures for Latin American stocks have been largely offset by a deteriorating liquidity reading. As a result, the risk index did not decline much after the selloff. The model decreased its allocation to this asset (Chart 9). Chart 8Dutch Stock Market And Risk Chart 9Latin American Stock Market And Risk Over the course of only a few months, the risk index for bonds has swung from an extremely high risk level to the low-risk zone. Momentum has been the primary driving force behind this move and currently suggests that yields could pull back in the near term (Chart 10). The risk index for U.S. Treasurys declined significantly in November. While the model used the latest selloff to boost its allocation to bonds, it preferred to add allocation to bond markets outside of Treasurys. (Chart 11). Chart 10Global Bond Yields And Risk Chart 11U.S. Bond Yields And Risk After the rise in yields, Canadian bonds are massively oversold based on our momentum measure. The extremely low-risk reading has prompted the model to allocate to this asset (Chart 12). German bonds are oversold, but the reading on the cyclical measure has become considerably more bund-unfriendly. The model opted not to include bunds in the overall boost to its bond allocation. (Chart 13). Chart 12Canadian Bond Yields And Risk Chart 13German Bond Yields And Risk The risk reading in French bonds is more favorable than for bunds. Apart from oversold momentum, the value reading has also improved. The model increased its allocation to French bonds (Chart 14). The cyclical component of the risk index for Swedish bonds keeps moving in a bond-bearish direction. But that is completely overshadowed by extremely oversold conditions. In fact, the overall risk index for Swedish bonds is the lowest within our bond universe. Much of the increase in overall bond allocation ended up in Swedish paper (Chart 15). Chart 14French Bond Yields And Risk Chart 15Swedish Bond Yields And Risk Following sharp gains, the 13-week momentum measure for the U.S. dollar has reached levels at which some consolidation may take place. But the recovery in the 40-week rate of change measure indicates that it would probably be a pause in the dollar bull market rather than a trend change. With the December rate hike baked in, the Fed's communication about the policy next year holds the key to the path of the dollar - in addition to the fiscal policy of the next administration (Chart 16). The Japanese yen has been a major victim of the dollar rally. The 13-week momentum measure is approaching levels that halted the yen weakening trend in 2013 and 2015. However, this time around, it is not coupled with the same signal from the 40-week rate of change measure. The BoJ is sticking to its easy monetary policy, and some additional support on the fiscal front could drag the yen lower, notwithstanding a possible hiatus in the short term. Short term the yen could benefit from an EM pullback (Chart 17). After the latest bout of depreciation, the euro seems poised for another attempt to break below 1.05. The 13-week and 40-week momentum measures do not preclude this from happening. However, it would probably take the ECB to reaffirm its dovish message to push EUR/USD technical indicators into more oversold territory (Chart 18). Chart 16U.S. Trade-Weighted Dollar* Chart 17Yen Chart 18Euro Miroslav Aradski, Senior Analyst miroslava@bcaresearch.com
Highlights Most narratives surrounding G7 bond yields, the U.S. dollar, Chinese credit/fiscal impulses, and the RMB exchange rate - which justified the EM rally from February's lows - have been overturned. To be consistent, this warrants a relapse in EM risk assets. In China, recent property market and marginal credit policy tightening will weigh on growth. Feature The more recent strength in Chinese and emerging markets' (EM) manufacturing PMI indexes as well as the bounce in industrial metals prices have gone against our negative view on EM/China growth and related markets. While it is hard to predict market patterns over the next several weeks, we maintain that the EM rally is on borrowed time, and that the risk-reward profile for EM risk assets (stocks, credit markets and currencies) remains very unfavorable. Tracking Correlations And Indicators The overwhelming majority of indicators and variables that supported the rally in EM since February have reversed in recent months. Specifically: China's credit and fiscal spending impulses have rolled over (Charts I-1 and Chart I-2, on page 1). This will likely lead to a rollover in mainland industrial activity early next year (Chart 1, top panel). Similarly, this bodes ill for much-followed Chinese ex-factory producer prices - i.e., producer price deflation will probably recommence early next year (Chart I-1, bottom panel). Chart I-1China: Industrial Sectors To Retreat? Chart I-2China: Credit And Fiscal Impulses In a nutshell, the strong credit and fiscal impulses of late 2015 and early 2016 explain the stabilization and mild improvement in the Chinese economy during the past few months. However, these same impulses project renewed weakness/rollover in the economy in early 2017. If financial markets are forward looking, they should begin pricing-in deteriorating growth momentum sooner than later - especially as Chinese policymakers are announcing marginal tightening policies (see below for more details). One of the narratives that triggered the EM and global equity rally in February was speculation that there was a "Shanghai accord" between global central banks. According to this narrative, the People's Bank of China (PBoC) promised not to devalue the RMB in exchange for the Federal Reserve not hiking rates. Since then, the RMB has continued to depreciate, both versus the greenback and the CFETS1 basket. Yet EM and global stocks have completely disregarded the RMB depreciation (Chart I-3). We do not have good explanation as to why. Indeed, the RMB has weakened meaningfully, despite the PBoC's massive currency defense: the latter's foreign exchange reserves have shrunk further since then (Chart I-4), as capital flight has exceeded the enormous current account surplus by a large margin. Chart I-3Investors Are ##br##Complacent About RMB Chart I-4China: Foreign Exchange ##br##Reserves Still Shrinking Chart I-5PBoC Liquidity Injections ##br##Have Been Enormous The PBoC's selling of U.S. dollars to prop up the yuan has drained domestic currency liquidity and one would expect interbank rates to rise. However, the PBoC has been re-injecting RMBs into the system to keep interest rates low (Chart I-5). Such RMB liquidity proliferation makes further declines in the currency's value all the more likely. We expect the RMB to continue depreciating. Yet global financial markets have become extremely complacent about the potential for additional RMB depreciation. After having been bullish on U.S./G7 bonds for the past several years, in our July 13 Weekly Report,2 we highlighted that U.S./G7 bond yields would rise and closed our strategic short EM equities/long 30-year U.S. Treasurys position. Even though U.S./G7 bond yields have risen since July, EM equities have not declined. Given that falling G7 bond yields were used as justification for the EM rally, the opposite should also hold true. We expect U.S. bond yields to rise further. Our EM Corporate Health Monitor - constructed using bottom-up financial variables of companies with outstanding U.S. dollar corporate bonds - points to a reversal in the EM corporate credit market rally (Chart I-6). Furthermore, EM sovereign and corporate credit spreads have tightened considerably and are now very overbought and expensive. As we argued in our Special Report titled EM Corporate Health Is Flashing Red3 that introduced the EM Corporate Financial Health (CFH) Monitor, EM corporate credit spreads are as expensive as they were before they began widening in 2013 and 2014 (Chart I-7). Chart I-6EM Corporate Bond Rally To Reverse? Chart I-7EM Corporate Spreads Are Too Tight Finally, the U.S. dollar sold off early this year, but it has held firm in recent months. Nevertheless, EM risk assets have not retreated, despite the greenback's strength (Chart I-8). Few would argue that sharp U.S. dollar appreciation is negative for EM risk assets, but there is a debate among investors and analysts about whether EM risk assets can rally amidst a gradual appreciation in the U.S. dollar. Turning to the empirical evidence, Chart I-9 reveals that in the past 30 years any U.S. dollar appreciation - whether gradual or not - even versus DM currencies has coincided with weakness in EM share prices. Chart I-8EM Investors Have ##br##Ignored U.S. Dollar Strength Chart I-9EM Equities And ##br##U.S. Dollar: A 30 Year History Bottom Line: The majority of narratives that justified the EM rally from February's lows have been overturned. To be consistent, this warrants a relapse in EM risk assets. China's Credit And Property Tightening In recent weeks, there have been numerous policy tightening efforts in China. In particular: At the annual World Bank/IMF meetings in Washington last month, PBoC Governor Zhou Xiaochuan stated that once markets stabilized there would no longer be additional large increases in bank credit. His exact words were: "With the gradual recovery of the global economy, China will control its credit growth".4 As U.S. and European PMIs have firmed up and U.S. employment and wage growth is robust, Chinese policymakers will be emboldened to moderate unsustainable credit growth and not to repeat the massive fiscal push of early this year. In a bid to curb excessive bank credit growth and discourage "window dressing" accounting, the PBoC announced on October 255 that going forward it will include off-balance-sheet wealth management products (WMPs) in the calculation of banks' quarterly Marco Prudential Assessment ratios, starting from the third quarter. The clampdown on WMP accounting will reduce banks' capital adequacy ratios (CARs). One key reason that banks had aggressively boosted the size of their off-balance-sheet WMP assets was that they were not required to have capital charges against them, helping banks extend more credit while complying with CARs. In short, Chinese banks' CARs are inflated. This policy measure along with provisioning and writing-off non-performing loans, if reinforced, could meaningfully reduce the CARs of all Chinese banks, especially small- and medium-sized ones, as well as force them to reduce the pace of credit expansion. Given that the majority of medium and small banks have been more aggressive than the country's five biggest banks in expanding credit in recent years, this may have a damping effect on credit growth in 2017. In fact, the 110 medium and small banks retain 60% of on- and off-balance-sheet credit claims on companies, while the five largest banks hold 40% (Table I-1). Hence, credit trends in small and medium banks are at least as important as those among large banks. Table I-1China: Five Largest Banks Hold Only 40% Of Credit Assets Finally, a number of cities have announced various tightening measures on property markets of late, including the re-launch of house purchasing restrictions and increases in minimum down payments. Similar restrictions on home purchases served as an efficient tool for curbing property purchases in 2013-14, and there is no reason why it will be different this time around. This is especially true given the market is more expensive than it was back in 2013. In addition, the government has curbed financing for property developers. The biggest economic risk remains construction activity. Even though housing sales and prices have skyrocketed by 20-40% in the past 12 months (Chart I-10, top and middle panels), residential floor space started has been very timid - it has in fact failed to recover (Chart I-10, bottom panel). As residential property sales contract again due to new purchasing restrictions, property developers will certainly curtail new investment, and housing construction activity will shrink anew. The same is true for commercial properties (Chart I-11). Chart I-10China's Residential Market: ##br##Demand, Prices And Starts Chart I-11China's Non-Residential ##br##Market: Demand And Starts An interesting question is why property starts have been so weak, as indicated in the bottom panels of Chart I-10 and Chart I-11 - particularly when both floor space sold (units) and property prices have surged exponentially in the past 12 months. Our view is that there is a large hidden inventory overhang in the Chinese property market. For example, government data on residential floor space started, completed and under construction attest that there is still a large gap between floor space started versus completed (Chart I-12). From these data/charts and the enormous leverage carried by property developers, we infer the latter have been accumulating / carrying on their balance sheets vast amounts of inventory in excess of what market-based sources suggest, and what is widely followed by analysts. It is very hard to make sense of the Chinese property inventory data, but we suspect these market-based data sources may track only inventories that have been completed and released to the market - and do not account for inventories classified as "under construction". For residential housing, according to government data the "under construction floor space" is 5 billion square meters (Chart I-13, top panel), which is equal to 3.5-4 years of sales at the fervent pace of the past 12 months (Chart I-13, bottom panel). Another way to assess this is as follows: Assuming an average construction cycle of three years, there will be supply of new housing in amounts of 16.7 units in each of the next three years. This compares with sales of 13.3 million units in the past 12 months that occurred amid a buying frenzy and booming mortgage lending. Faced with a potential drop in sales due to the recent purchasing restrictions, elevated inventories, enormous leverage (Chart I-14), and tighter financing, property developers will most likely curtail new starts. In turn, a reduction in property starts means less construction activity next year, and weak demand for commodities. Consistent with the rollover in the fiscal spending impulse, infrastructure spending will likely also lose its potency in early 2017. Chart I-12China's Residential ##br##Market: Hidden Inventories Chart I-13Chinese Real Estate: Massive ##br##Volumes Under Construction Chart I-14Leverage Of Chinese ##br##Listed Property Developers Bottom Line: Recent property market and marginal credit policy tightening will weigh on construction activity and depress Chinese demand for commodities and industrial goods next year. Confirmation Bias, Or Bias Based On Fundamentals? Why did we not follow the indicators discussed above from February through June, when the EM rally emerged and these indicators bottomed? Do we have a confirmation bias? We did not recommend playing the EM rebound early this year because we did not believe the rally would last this long or go this far. If we had had conviction about the duration and magnitude of the rally, we would have changed our strategy - tactically upgrading EM risk assets despite our negative structural and cyclical views. Simply put, we were wrong on strategy. In our April 13, 2016 Weekly Report,6 we argued that based on China's injection of massive amounts of fiscal and credit stimulus, growth would marginally improve in the months ahead. Yet, we stopped short of recommending chasing the EM rally given the menace of numerous cyclical and structural negatives surrounding the EM/China growth outlook. As to the reasons why we put more emphasis on some indicators and less on others at various times, we have the following points: We are biased in so far as our assessment and analysis of EM/China is based on fundamentals. In this sense, we are biased towards centering our investment strategy on fundamentals. Specifically, given our view/analysis that EM/China have credit bubbles/excesses, rapidly falling or weak productivity growth and record-low return on capital (Chart I-15), we cannot help but to have a fundamentally bearish bias on EM. This, in turn, means that we view any rally in EM risk assets or uptick in EM/China economic indicators with suspicion and likely as unsustainable. The opposite also holds true. All in all, if we are wrong on our fundamental view and analysis, we will be wrong on financial markets. When investors expect a bear market, they are better off selling rallies and not buying dips. When an asset class is in a multiyear bull market, it pays off to buy dips rather not sell rallies. Unless one can time market swings well, it is hard to make money on the long sides of bear markets. Similarly, it is difficult to profit from short positions in bull markets. In brief, countertrend moves are about timing. Timing does not depend on fundamentals. It is often a coin toss. Typically we do not recommend clients invest based on a coin toss. For example, it is impossible to rationalize why the EM rally did not begin following the August 2015 selloff, but instead started in February 2016. In late August 2015, with carnage in EM risk assets pervasive, it was clear that Chinese policymakers would stimulate and in fact the massive fiscal stimulus was initiated in August/September 2015 not in 2016. Similarly, China's manufacturing PMI bottomed in September 2015, not in 2016 (Chart I-16). Chart I-15EM Non-Financial Return ##br##On Equity Is At All Time Low Chart I-16China's Manufacturing PMI ##br##Bottomed In October 2015 In September 2015, EM and global equities rebounded, but chasing momentum at that time did not pay off as risk assets cratered in the following months. This is all to say that timing markets is often a random walk. We do attempt to time market moves that go along with our fundamental bias, but prefer not to time market moves that go against the primary trend. We assume any countertrend move is typically short-lived and unsustainable. That said, we also realize these moves can be very painful for investors if they last long enough, like this EM rally. Finally, we often get questions on fund flows. We do not make investment recommendations based on fund flows - even though we recognize they are very important in driving markets. The reason is that there is no comprehensive data on global fund flows that one can analyze and make reasonably educated bets. The often-cited EPRF dataset only tracks inflows and outflows of mutual funds and ETFs. It does not account for flows and positioning of various asset managers, sovereign funds, pension funds, insurance companies, hedge funds and private wealth managers, among many others. What's more, the EPRF dataset only covers the funds located in advanced countries and offshore jurisdictions, but not emerging countries where investment pools have become large and important. In brief, the available investment flow and portfolio positioning data are not comprehensive at all, and they cannot be relied upon too much to make investment recommendations. In this vein, a question arises: Why can't flows into EM sustain the current rally for a while even though it is not based on fundamentals? In this context, let's consider the case of the rally in euro area share prices when markets sensed the arrival of the European Central Bank's quantitative easing efforts at the beginning of 2015. There was a fervent rush to buy/overweight euro area stocks heading into the QE announcement by the ECB. European bourses surged. Nevertheless, euro area equity prices have been sliding and massively underperforming the global equity benchmark since March 2015 (Chart I-17). The reason the ECB's QE has not helped euro area stocks is because their fundamentals were bad - profits have been shrinking despite the ECB's QE. We suspect EM stocks and currencies will have a similar destiny: EM profits will disappoint considerably, and the current rally will prove unsustainable. Notably, net EPS revisions have so far failed to move into the positive territory (Chart I-18). Chart I-17Euro Area Stocks And EPS: ##br##Why The QE Rally Proved To Be Bogus Chart I-18EM Stocks And EPS: ##br##Earning Revisions Are Still Contracting Arthur Budaghyan, Senior Vice President Emerging Markets Strategy & Frontier Markets Strategy arthurb@bcaresearch.com 1 China Foreign Exchange Trading System. 2 Please refer to the Emerging Markets Strategy Weekly Report, titled "Risks To Our Negative EM View," dated July 13, 2016; a link is available on page 15. 3 Please refer to the Emerging Markets Strategy Special Report, titled "EM Corporate Health Is Flashing Red," dated September 14, 2016; a link is available on page 15. 4 Please see http://www.pbc.gov.cn/goutongjiaoliu/113456/113469/3155686/index.html 5 Please see http://www.pbc.gov.cn/goutongjiaoliu/113456/113469/3183204/index.html 6 Please refer to the Emerging Markets Strategy Weekly Report titled, "Revisiting China's Fiscal And Credit Impulses," dated April 13, 2016; a link is available on page 15. Equity Recommendations Fixed-Income, Credit And Currency Recommendations
GAA DM Equity Country Allocation Model The model significantly reduced the weight of France by six percentage points due to change in liquidity condition, the other downgrade, albeit much smaller, was the U.S. All other countries had been upgraded as a result, with Germany being the largest beneficiary. Japan and U.K. remain the two largest underweights (Table 1). Table 1Model Allocation Vs. Benchmark Weights As shown in Table 2 and Chart 1, Chart 2 and Chart 3, the overall model outperformed the MSCI World benchmark by 27 basis points (bps) in October, driven completely by the Level 2 model (as U.K and Australia underperformed the euro area). The Level 1 model was in line with the benchmark. Since going live, the overall model performed slightly better than its benchmark. Please see also on the website http://gaa.bcaresearch.com/trades/allocation_performance. Table 2Performance (Total Returns In USD) Chart 1GAA DM Model Vs. MSCI World Chart 2GAA U.S. Vs. Non U.S. Model (Level 1) Chart 3GAA Non U.S. Model (Level 2) Table 3Allocations Table 4Performance Since Going Live Chart 4Overall Model Performance For more details on the models, please see the January 29th, 2016 Special Report "Global Equity Allocation: Introducing the Developed Markets Country Allocation Model". http://gaa.bcaresearch.com/articles/view_report/18850 GAA Equity Sector Selection Model The GAA Equity Sector Selection Model (Chart 4) is updated as of October 31, 2016. The momentum component has shifted Financials from underweight to overweight. For mode details on the model, please see the Special Report "Introducing the GAA Equity Sector Selection Model," July 27, 2016 available at https://gaa.bcaresearch.com. Xiaoli Tang, Associate Vice President xiaoli@bcaresearch.com Patrick Trinh, Senior Analyst patrick@bcaresearch.com Aditya Kurian, Research Analyst adityak@bcaresearch.com
Highlights A poor fundamental backdrop for high yield is being offset by easy monetary conditions. A prolonged shallow uptrend in corporate defaults - and therefore spreads - is most likely. The relative performance of equities versus corporate credit has not been distorted by monetary policy: the high-yield debt market will remain a reliable indicator for equity market vulnerability. A December rate hike will not be problematic for the residential real estate market. Plenty of pent-up demand for housing exists, and this will provide long-term support, so long as the labor market remains robust. Feature High-yield (HY) corporate bond spreads have dramatically narrowed throughout 2016 (Chart 1). This trend should not go unnoticed, since beyond being an important asset class in its own right, we have long viewed the high-yield debt market as an early warning system for equities. The current message suggests an all-clear for stocks. Chart 1Dramatic Spread Narrowing In 2016, But... We have had a cautious stance on U.S. high yield since August 2015, based on the view that corporate balance sheet health has deteriorated to the point where defaults would continue to rise on a cyclical basis. This week, we explore whether this remains the right strategy, and also whether junk bond spreads are still a relevant leading indicator for the equity market. Our answer to both questions is: Yes. In our view, the HY comeback can be explained by three main factors. First, the recovery in energy-related junk bonds has led the rally, as rising oil prices have helped diminish the default risks among U.S. shale issuers. Second, the 2015 spike in junk bond yields - mainly due to contagion from energy-sector bankruptcy fears - created tactical value in high-yield. Throughout most of 2016, we have seen an unwinding of these previously oversold positions. And third, the high-yield market benefits from an ongoing and intense search for yield in a world of unattractive higher-quality interest rates. Looking ahead, the first two forces are unlikely to play much of a role in the outcome for junk bonds. Oil prices are likely to trade in narrow range, allowing energy-related company fundamentals to stabilize. The rally in junk bonds over the past several months has removed any perceived value in this sector. Thus, it is only the search for yield/accommodative monetary policy that still supports a narrowing in spreads. Over time, we believe junk bond performance will once again be aligned with balance sheet fundamentals, i.e. high-yield spreads will gradually widen. A Review Of Our HY Indicators Our fixed income strategists have developed three key indicators to gauge major turning points in corporate spreads (Chart 2): Corporate Health Monitor (CHM): An aggregate indicator of non-financial corporate balance sheet health. The CHM deteriorated further in the second quarter, and has reached levels that historically tend to only be seen during recessions. Of the indicator's six components, most of the weakness has occurred in measures of corporate profitability (Chart 3). One caveat is that our measure of leverage in the CHM remains low, but this understates the risks because it measures total debt as a percent of market value of equity. Leverage looks decidedly worse if measured using net debt/book value. Chart 2Key Corporate Credit Indicators Chart 3Corporate Health Monitor Components C&I bank lending standards: A Fed survey that measures how easy/difficult it is for the corporate sector to access bank loans. According to this gauge, banks have already been tightening credit conditions for the past three quarters. Deviation in monetary conditions from equilibrium: We use our Monetary Conditions Index (MCI), which incorporates movements in both the dollar and interest rates. Due to a very accommodative Fed, monetary conditions remain very easy according to this measure. At present, two of these three indicators are sending negative signals for corporate spreads. Our corporate health monitor is decidedly bearish, as are lending standards. Indeed, focusing on corporate balance sheets and fundamental credit quality metrics would almost unanimously lead investors to recognize that the credit cycle is in its late stages and to expect spreads to move wider. After all, spreads have widened in every episode of deteriorating balance sheet health since the mid-1990s. Or to put it more simply, a default cycle - leading to spread widening - has occurred each time that year-on-year profit growth has gone negative since 1984 (Chart 4). Chart 4Profit Contraction Spells Trouble For Junk Bonds Our Bank Credit Analyst service came to the same conclusion earlier this year. In a Special Report, our colleagues analyzed financial ratios for 770 companies from across the industrial and quality spectrum. Their work uncovered that the corporate re-leveraging cycle is far more advanced than is widely believed and that key financial ratios and overall corporate health look only mildly better excluding the troubled energy and materials sectors. Of course, there is an important salve this cycle at work and it is captured in our third indicator - monetary policy. As shown in Chart 2, easy monetary conditions have never persisted for this long and low rates have driven a colossal search for yield, causing high-yield bonds to become ever more divorced from fundamentals. This divergence between corporate bond spreads and balance sheet fundamentals is likely to persist for as long as monetary conditions remain supportive. Adding it up, a poor fundamental backdrop for high-yield is being offset by easy monetary conditions. This combination argues for a cautious long-term bias toward lower-quality corporate credit because a prolonged shallow uptrend in corporate defaults (and spreads) is most likely. Nimble investors may look to tactically buy junk bonds when spreads overshoot our forecast of default losses, although such an opportunity is not present at the moment (Chart 5). The equity market is suffering from the same dynamic. Chart 5No Value Here Will Junk Bond Yields Still Warn Of Stock Bear Markets? Junk bond yields have long been one of our early warning indicators for equity bear markets. Since the 1980s, junk yields (shown inverted in Chart 6) have consistently broken out to new highs 3-6 months before stock bear markets take hold. This is because in a typical cycle, junk yields tend to respond more quickly to an erosion in corporate health fundamentals and/or a credit event. Chart 6Junk Bonds Provide Early Warning For Stocks Chart 7Typical Behavior Here But, as we note above, in the current cycle, the reaction to worsening corporate health fundamentals has been far more subdued than historical relationships would have predicted, due to the salve effect of easy monetary policy. If corporate bonds are in a "bubble", does it mean that the behavior of junk bond spreads will no longer be an early predictor of stocks returns? We believe corporate bonds will still be a useful timing tool for equities. If equities are experiencing the same divorcing from fundamentals, courtesy of central bank largesse, then it stands to reason that what pops the bond bubble will also burst the equity balloon. The search for yield has affected the behavior of investors, and therefore returns, in a fairly systematic way. Due to the current extended period of ultra-low interest rates and central bank asset purchases, government bond prices have been pushed sky high (yields have sunk to rock-bottom lows). As a shortage of government bonds has taken hold, investors have sought to invest in "Treasury-like" products, first seeking out the safest corporate bonds, but eventually reaching further out on the risk spectrum to include high-yield bonds and (dividend yielding) stocks. Indeed, asset prices of all stripes have been distorted by the search for yield, which has fueled a broad inflation in all asset classes. The behavior of stocks relative to corporate bonds is telling (Chart 7). Since 2010, and until very recently, stocks outperformed junk bonds on a total return basis. Junk bonds outperformed investment-grade bonds over roughly the same period (although junk underperformed investment-grade in most of 2015 due to the collapse in energy prices and related energy company defaults). This is exactly what has occurred during every recovery phase since the 1980s. Over the past forty years, investment-grade bonds tended to outperform junk bonds and equities during economic recessions. Junk bonds beat equities during the early phases of recovery (i.e. when economic growth turns positive) and for as long as companies continue to repair balance sheets. And equity returns trump both investment-grade and high-yield corporate bonds when our Corporate Health Monitor is deteriorating, i.e. in the latter half of the economic cycle, such as now. This suggests that the relative performance of equities versus corporate credit has not been distorted by monetary policy. One key takeaway is that, although very easy monetary conditions mean that corporate credit performance is becoming divorced from fundamentals, monetary policy has had a similar effect on equity prices (we have written at length in past reports about equity market performance diverging from profit indicators). As in past cycles, once the monetary cover fades, it is most likely that corporate credit markets will once again respond most quickly to balance sheet fundamentals. The bottom line is that we believe the high-yield debt market will remain a reliable indicator for equity market vulnerability. The current message is that a bear market in stocks will be averted, although as we have written in recent reports, earnings disappointments amid dollar strength represent a potential trigger for a near-term correction. Housing Outlook: Room To Expand Over the past quarter, residential real estate data has been slightly disappointing. September housing starts slipped to the bottom end of the range that has held this year and are only marginally above year-ago levels. House price inflation, as measured by the Case Shiller index, is negative on a 3-month basis. Despite this mild disappointment, we continue to believe the housing market is a relative bright light and will continue to be a significant positive contribution to GDP growth. Most indicators show that the housing market continues to recover along the typical path of the classic boom/bust real estate cycle (Chart 8). Chart 8Housing And Its History Chart 9First-Time Homebuyers Entering The Market Moreover, both supply and demand conditions are supportive of further construction activity and upward pressure on house prices over the next several quarters. On the demand side, household formation and a pick-up in interest from first-time buyers are the largest positives. Household formation: The number of households being formed is the most basic measure of marginal new demand for housing units. Household formation was suppressed during the Great Recession and early recovery years, because very poor job prospects and restricted access to credit sorely limited prospective new households from entering both the rental and ownership market. From 2007-2013, the annual household formation rate was 625,000, compared to over 1.1 million in the pre-crisis period.1 Now that the unemployment rate is at 5% and job security is improving, household formation rates are accelerating, particularly among young adults who have hitherto delayed moving out on their own. Monthly numbers are choppy, but household formation could easily run on average at 1.1 million per year for the next few years, simply to make up for muted rates post-housing crisis. First-time buyers: After years of putting off purchases, first-time buyers appear to be finally coming back to the housing market (Chart 9). According to the National Association of Realtors, the proportion of first-time homebuyers for existing home sales has reached its highest mark since July 2012 (34%). But there is still room for this share to improve, as prior to 2007, first-time homebuyers averaged about 40% of total purchases. Once again, persistent income gains and job security will be the driving factors behind first-time homebuyers' decisions. Could a Fed interest rate rise slow housing demand? We don't think so. Mortgage payments relative to income will remain well below their long-term average even if rates are increased by 200bps, an extreme case scenario. Even under this scenario, housing affordability would still be above average, conservatively assuming that income is held constant (Chart 10). Income and employment prospects will continue to trump mortgage rates for consumers making housing decisions; the current employment backdrop is positive for continued housing market activity. Chart 10December Rate Hike Won't Bother The Housing Market Chart 11Supply Is Tight From a supply perspective, conditions remain ripe for more robust construction activity. As Chart 11 shows, the supply of new homes remains low both in absolute, and in terms of months of supply. The bottom line is that we do not fear that a December rate hike will be particularly onerous for the residential real estate market. Plenty of pent-up demand for housing still exists, and this will provide long-term support, so long as the labor market remains robust, as we expect. The recent soft patch in housing will give way to stronger home building activity in the coming months, helping to boost real GDP growth in 2017. Lenka Martinek, Vice President U.S. Investment Strategy lenka@bcaresearch.com 1 The State Of the Nation's Housing 2016, Joint Centre For Housing Studies of Harvard University http://jchs.harvard.edu/research/publications/state-nations-housing-2016
ETS now provides global coverage, ranking over 10,000 stocks from 23 countries on a daily basis. We have improved the overall performance of the model, reducing the volatility of the BCA Score by over 60% in the process. The platform has been upgraded and new features, such as the Compare page, have been added.
The Tactical Asset Allocation model can provide investment recommendations which diverge from those outlined in our regular weekly publications. The model has a much shorter investment horizon - namely, one month - and thus attempts to capture very tactical opportunities. Meanwhile, our regular recommendations have a longer expected life, anywhere from 3-months to a year (or longer). This difference explains why the recommendations between the two publications can deviate from each other from time to time. Highlights Chart 1Model Weights In October, the model outperformed global equities in USD and local-currency terms; it also outperformed the S&P 500 in local-currency terms, while performing in line with the S&P in USD terms. For November, the model trimmed its allocation to cash and stocks and boosted its weighting in bonds (Chart 1). The model increased its weighting in French, Dutch, and Swedish stocks at the expense of the U.S., Japan, Germany, Switzerland, New Zealand, and Emerging Asia. Within the bond portfolio, allocation to New Zealand and the U.K. was increased, while the allocation to U.S., Australian and Spanish paper was reduced. The risk index for stocks deteriorated in October, while the bond risk index improved noticeably. Feature Performance In October, the recommended balanced portfolio gained 0.6% in local-currency terms, and was down 1% in U.S. dollar terms (Chart 2). This compares with a loss of 1.4% for the global equity benchmark, and a 1% loss for the S&P 500 index. Given that the underlying model is structured in local-currency terms, we generally recommend that investors hedge their positions, though we do provide recommendations from time to time. The higher allocation to EM stocks in October was timely, but the boost to bonds was a drag on the model's performance. Weights The model cut its allocation to stocks from 67% to 66% and increased its bond weighting from 21% to 26%. The allocation to cash was decreased from 12% to 8%, while commodities remain excluded from the portfolio (Table 1). The model reduced its allocation to New Zealand equities by 3 points, Emerging Asia by 2 points and U.S., Japan, Germany and Switzerland by 1 point each. Meanwhile, it increased allocation to Dutch, French and Swedish stocks by 4 points, 3 points and 1 point, respectively. In the fixed-income space, the allocation to U.K. and New Zealand paper was increased by 6 points and 5 points respectively, while allocation to Australia, Spain and the U.S. was cut by 3 points, 2 points and 1 point, respectively. Chart 2Portfolio Total Returns Table 1Model Weights (As Of October 27, 2016) Currency Allocation Local currency-based indicators drive the construction of our model. As such, the performance of the model's portfolio should be compared with the local-currency global equity benchmark. The decision to hedge currency exposure should be made at the client's discretion, though from time to time, we do provide our recommendations. The dollar appreciated in October and investors should position for additional dollar strength. Our Dollar Capitulation Index seems to be breaking out to the upside following a pattern of lower highs. Since 2008, such breakouts have been followed by a significant rally in the broad trade-weighted dollar (Chart 3). Chart 3U.S. Trade-Weighted Dollar* And Capitulation Capital Market Indicators Our model continues to exclude commodities from the portfolio. The risk index for this asset class remains at the highest level in over two years (Chart 4). For the first time since June 2014, the risk index for global equities is above the neutral line (Chart 5). The higher overall risk reflects deteriorating liquidity and momentum readings. Our model cut its weighting in equities for the third month in a row. Chart 4Commodity Index And Risk Chart 5Global Stock Market And Risk The value component of the risk index for U.S. stocks improved in October, but this was overshadowed by worsening liquidity and momentum readings. The model slightly trimmed its allocation to U.S. equities (Chart 6). Even after the latest small uptick in the risk index for Dutch equities, it remains one of the lowest among the model's universe. The allocation to this bourse was increased. (Chart 7). Chart 6U.S. Stock Market And Risk Chart 7Netherlands Stock Market And Risk The risk index for U.K. stocks declined slightly in October, but remains firmly in high-risk territory both compared to its own history and its global peers. This asset class remains excluded from the portfolio (Chart 8). The model slightly upgraded Swedish equities, despite a worsening risk index. The continued favorable liquidity backdrop remains a boon for Swedish stocks (Chart 9). Chart 8U.K. Stock Market And Risk Chart 9Swedish Stock Market And Risk After declining for four consecutive months, the overall risk index for bonds is not at extreme high-risk levels anymore. The increase in yields has helped completely unwind overbought conditions, as per our momentum indicator. The model used the latest selloff to increase its allocation to bonds (Chart 10). The risk index for U.S. Treasurys declined markedly in October, but a few other markets also feature improved risk readings. As a result, the model downgraded U.S. Treasurys (Chart 11). Chart 10Global Bond Yields And Risk Chart 11U.S. Bond Yields And Risk The selloff in New Zealand bonds has pushed the momentum indicator into oversold territory, boosting the allocation to this asset class (Chart 12). The risk index for euro area bonds remains firmly in the high-risk zone even after a notable decline. However, there are select bond markets in the common-currency area that have relatively more favorable risk readings (Chart 13). Chart 12New Zealand Bond Yields And Risk Chart 13Euro Area Bond Yields And Risk Within the euro area, Italian bonds feature a risk reading that has fallen below the neutral line. While the cyclical indicator continues to move into more bond-negative territory, it is currently being offset by the oversold reading on the momentum indicator (Chart 14). U.K. gilt yields moved up as the post-Brexit inflation backdrop became gilt-unfriendly and growth surprised on the upside. Now, with momentum moving from overbought to oversold over just a couple of months, any negative economic surprises could potentially weigh on gilt yields. The model has added this asset class to the portfolio (Chart 15). Chart 14Italian Bond Yields and Risk Chart 15U.K. Bond Yields And Risk A more hawkish Fed could push the dollar higher. The 13-week momentum measure for the USD remains above, but close to the neutral line. The recovery of the 40-week rate of change from mildly negative levels which have represented a floor since 2012 would suggest that a new leg in the dollar bull market is in the offing (Chart 16). Both the 13-week and 40-week momentum measures for the euro are below the neutral line (Chart 17). Growing monetary divergences could continue weighing on EUR/USD before the technical indicators are pushed into more oversold territory. Fears of hard Brexit knocked down the pound. The 13-week rate of change is now close to its post-Brexit lows, while the 40-week rate of change measure is at the most oversold level since 2000 (excluding the great recession). At these technical levels the pound seems overdue to find a temporary bottom (Chart 18). Chart 16U.S. Trade-Weighted Dollar* Chart 17Euro Chart 18Sterling Miroslav Aradski, Senior Analyst miroslava@bcaresearch.com
