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特別レポヌト Highlights Rising recession risk, shaky economic fundamentals, and absence of positive yielding assets motivate us to reexamine which assets can be counted on to protect a portfolio in the future. We analyze 10 safe havens on four different dimensions: consistency, versatility, efficiency, and costs. Using this framework, we examine the historical performance of each safe haven and provide an outlook on their likely effectiveness over the next decade. We conclude that U.S. TIPS and farmland should provide the best portfolio protection. Cash, U.S. Treasuries and gold are other good alternatives. Meanwhile, U.S. investment-grade bonds, global ex-U.S. bonds, silver, and currency futures are likely to be poor protection choices. Feature For most investors, capital preservation is the most important goal when managing money. However, how to go about it remains a difficult question.  Investing in safe havens can be painful during bull markets, as their returns are usually lower than those of equities. Moreover, economic, political, and financial regimes change over time, which means that an asset that protected your portfolio in the past might not do so in the future. Therefore, it becomes good practice to review one’s safety measures periodically, even if one does not think that a crash is imminent. The current environment in particular, is a propitious time to review safe havens given that: Chart I-1A Great Time To Review Safety Measures A key recession signal is flashing red: The yield curve inverted in the United States in August (Chart I-1 – top panel). An inversion of the yield curve does not necessarily imply a recession, but historically it has been a very reliable signal of one, given that it indicates that monetary policy is too tight for the economy. Structural risks are rising: Rich equity valuations in the U.S. and high leverage levels elsewhere are signs that the pillars supporting this bull market might be fragile (Chart I-1 – middle panel). In addition, protectionism and populism, forces that BCA has long argued are here to stay, threaten to upend the regime of free trade that has benefited equities since the 1950s.1 Yields are near all-time lows: Historically, investors have been able to endure bear markets by hiding in safe assets with positive yield, as these assets will normally provide a reliable cash flow regardless of the economic situation. However, these type of assets are increasingly hard to find, particularly in the government bond space, where 50% of developed country bonds have negative yields (Chart I-1 – bottom panel). Considering these factors, how should investors protect their portfolios in the next decade? To answer this question, we analyze 10 safe havens divided into five broad asset classes: Nominal government bonds: U.S. Treasuries and global ex-U.S. government bonds. Other fixed income: U.S. investment-grade credit and U.S. TIPS.2 Currencies: yen futures and Swiss franc futures. Precious metals: gold futures and silver futures. Other assets: farmland and U.S. cash. We look at historical performance since 1973 for all safe havens except for global ex-U.S. bonds and farmland. For these assets, we look at performance since 1991 due to limited data availability. We mainly look at quarterly returns in order to compare illiquid assets to publicly traded ones. We do not consider each safe haven in isolation, but rather as an addition to equities within a portfolio. Specifically, we explore our safe haven universe relative to the MSCI All Country World equity index from the perspective of a U.S. investor. For our non-U.S. clients, we will release a report from the perspective of other countries if there is sufficient interest. Importantly, we do not look only at historical performance. We also examine whether there is a reason to believe that future returns will be different from past ones, by analyzing how the properties of each safe haven might have changed. When evaluating each safe haven, we focus on four properties: Consistency: a safe haven should generate consistent positive returns during periods of negative equity performance, with returns increasing with the severity of the equity drawdown. Versatility: safe havens should perform well across different types of crises. Efficiency: a safe haven should produce enough upside during crises, so only a small allocation to the safe haven is necessary to reduce losses. Costs: drag to portfolio overall performance (opportunity costs) should be as small as possible. Readers who wish to see just our overall conclusions should read our Summary Of Results section below. For our analysis of how safe havens have performed in the past, please see the Historical Performance section. Finally, for our analysis of how we expect the performance of safe havens to change, please see our Outlook section. Summary Of Results The Best Safe Havens U.S. TIPS should be an excellent safe haven to protect a portfolio in the next decade. While TIPS might not be as cheap to hold as they have been in the past, upside potential remains strong, which means that a moderate allocation can provide substantial protection to an equity portfolio. Moreover, U.S. TIPS are one of the best hedges against crises triggered by rising rates and inflation, which in our view are the biggest structural risks that asset allocators face. Farmland could also be a great safe haven for investors who have the ability to allocate to illiquid assets given that it is the cheapest safe haven in terms of portfolio drag. However, investors should be aware that the current low yield could potentially affect its performance during crises. Good Alternatives Cash can be a good alternative to protect an equity portfolio, given its outstanding performance during equity drawdowns caused by inflation. Moreover, its opportunity costs should decrease relative to the past. However, investors should take into account that the efficiency of cash at the current juncture is poor, which means that a relatively large allocation is needed in order to achieve meaningful portfolio protection. A portfolio with a 30% allocation to Treasuries historically provided the same downside protection as a portfolio with a 44% allocation to gold. We also like gold futures as a safe haven since they offer some of the most attractive opportunity costs. In addition, their upside is greater than that of most safe havens due to their negative correlations with real rates. However, gold’s volatility makes it an unreliable asset, which prevents us from placing it higher in the safe haven hierarchy. Historically, U.S. Treasuries have been one of the best safe havens to hedge an equity portfolio. Will this performance continue in the future? We do not think so. While yields are still high enough to provide plenty of upside potential, they have fallen to the point where they have increased the opportunity costs of U.S. Treasuries and reduced their consistency. The Rest Global ex-U.S. bonds have very limited upside due to their low yields. Meanwhile U.S. investment-grade credit remains at risk from poor corporate balance sheets, compounded by the fact that credit no longer has an attractive yield cushion. Currencies like the yen and the Swiss franc will continue to be unreliable and very expensive safe havens. Finally, while silver’s costs and reliability could improve, its high cyclicality relative to other safe havens will make silver a poor protection choice. Historical performance Consistency How did safe havens perform when equities lost money? To assess consistency, we plot the performance of each safe haven during all quarters when global equities had losses (Chart I-2). Cash and farmland were the only assets to have positive returns during every equity drawdown. U.S. Treasuries and U.S. TIPS were also very consistent, and had the additional advantage that their returns tended to increase as equity losses worsened. Global ex-U.S. bonds, while not as consistent, generated positive returns most of the time. Chart I-2Safe Haven Returns During Drawdowns In Global Equities On the other hand, investment-grade bonds, the yen, the Swiss franc, gold, and silver were much more inconsistent. In general, even though these assets had larger positive returns than other assets, they were prone to deep selloffs concurrent with equity drawdowns. Silver was the worst of all safe havens, being mostly a negative return asset during quarters of negative equity performance. Versatility How did the type of crisis affect the performance of safe havens? We classify crises according to their catalyst into the following four categories: bursts of U.S. asset bubbles (tech bubble, 2008 housing crisis), ex-U.S. crises (1998 EM crisis, European debt crisis), flash crashes/political events (1987 Black Monday, 9/11 terrorist attack),  rate/inflation shocks (1974 oil crisis, 1980 Fed shock) and others (every other equity drawdown we could not classify).3  We look at the performance of seven safe havens since 1973 (Chart I-3A) and of all 10 since 19914 (Chart I-3B): Chart I-3ASafe Haven Return During Different Type Of Crisis (1973 - Present) Chart I-3BSafe Haven Return During Different Type Of Crisis (1991 - Present)   During bursts of U.S. asset bubbles, U.S. Treasuries were the most effective hedge in both sample periods, followed by U.S. TIPS and farmland. Corporate bonds, cash, gold, and the Swiss franc also had positive returns, though they were small. Finally, the yen and silver had negative returns. During crises happening outside of the U.S., U.S. Treasuries were once again the best option. U.S. TIPS, yen futures, farmland, gold, and U.S. investment-grade bonds also provided strong returns.  Meanwhile, global ex-U.S. bonds and cash provided relatively weak returns, while both the Swiss franc and silver accrued losses. During flash crashes/political events, the Swiss franc had the best performance followed by global ex-U.S. bonds, though in general all safe havens but silver provided positive returns. Rate/inflation shocks were the most difficult type of crisis to hedge. Cash and U.S. TIPS were by far the best performers. Moreover, while U.S. Treasuries were able to eke out a small positive return, all other safe havens lost money during these crises. Efficiency How much allocation to each safe haven was needed to protect an equity portfolio? Chart I-4 show how adding incremental amounts of each safe haven5 to an equity portfolio reduced the overall portfolio’s 10% conditional VaR (the average of the bottom decile of returns).6 Since 1973, U.S. TIPS and U.S. nominal government bonds were the most efficient safe havens, providing the most protection per unit of allocation (Chart I-4 – top panel). Conditional VaR was reduced by almost half when allocating 40% to either Treasuries or TIPS. Cash, U.S. investment-grade, the yen, the Swiss franc, gold, and silver followed in that order. The difference between the safe havens was significant. As an example, a portfolio with a 30% allocation to U.S. Treasuries historically provided the same downside protection as a portfolio with a 36% allocation to U.S. IG credit, a 39% allocation to the yen or a 44% allocation to gold. Meanwhile, there was no allocation to silver which would have provided the same level of protection. When using a sample from 1991, the main difference was the reduced efficiency of cash – the result of lower average interest rates when using a more recent sample. Other than cash, the efficiency of most safe havens remained unchanged: U.S. Treasuries were the best option, followed by U.S. TIPS, farmland, U.S. investment-grade bonds, global ex-U.S. government bonds, cash, the yen, gold, the Swiss franc, and silver in that order (Chart I-4 – bottom panel). Chart I-4Historically, Fixed-Income Assets Were The Most Efficient Safe Havens Costs How do safe haven returns compare to equities? To evaluate opportunity costs, we compare the difference of the historical return of each safe haven versus global equities. Overall, hedging with currencies was extremely costly, as their return was well below that of equities in both samples (Chart I-5). Cash was also an expensive safe haven to hedge with, particularly in the most recent sample. On the other hand, fixed-income assets like U.S Treasuries, investment-grade credit, and U.S. TIPS had very low costs (global ex-U.S. bonds also had cost of around 2% in a limited sample).  Farmland had negative opportunity costs because it outperformed equities during the sample period.7 Chart I-5Historically Fixed Income Assets And Farmland Had The Lowest Opportunity Cost Outlook Chart I-6No More Yield Cushion Chart I-7Silver Has Become Less Cyclical For our outlook, we assess how the four traits under study have changed for all safe havens: Consistency: Will safe havens continue to be reliable in the absence of high coupons? Many of the safe havens in our sample were effective at hedging equities due to their high yield. Even if they had negative capital appreciation, total returns stayed positive thanks to the offsetting effect of the yield return. However, as rates have declined, yield return has also decreased substantially (Chart I-6). Therefore, safe havens, like cash, government bonds, and even farmland will not be as consistent as they were in the past. Credit could be even more vulnerable: the combination of a low yield, and unhealthy fundamentals will turn U.S. corporate bonds into a negative-return asset in the next crisis. Silver might be the lone safe haven to improve its consistency. Industrial use for silver has fallen substantially in the past 10 years, decreasing its cyclical nature (Chart I-7). Thus, while silver might still be an erratic safe haven, it should be more consistent in the future than its historical performance would suggest.   Versatility: What will the next crisis look like? Chart I-8Inflation and Political Crisis Will Plague The 2020s Determining what the next crisis will look like is crucial for safe haven selection. Below we rank the types of crises in order of how likely and severe we think they will be in the future: Inflation/rate shock: We expect inflation to be significantly higher over the next decade. This will be the highest risk for asset allocators in the future. As we explained in our May 2019 report, a change in monetary policy framework, procyclical fiscal policy, waning Fed independence, declining globalization, and demographic forces are all conspiring to lift inflation in the next decade.8 Importantly, we believe that the Fed will be dovish initially, as it cannot let inflation continue to underperform its target after missing the mark for the last 10 years (Chart I-8 – top panel). However, this will cause an inflationary cycle, which will eventually lead the Fed to raise rates significantly and trigger a recession. Political events/flash crashes: Political events will also pose a risk to the markets on a structural basis. The rise of China as a superpower has shifted the world into a paradigm of multipolarity, which historically has resulted in military conflict. Moreover, animus for conflict is not dependent on President Trump. The American public in general feels that the economic relationship with China is detrimental to the United States (Chart I-8 – bottom panel). This means that any president, Democrat or Republican will have a political incentive to jostle with China for economic and political supremacy for years to come. Ex-U.S. crises: We expect Emerging Markets in general, and China in particular, to be among the most vulnerable parts of the global economy as we enter the next decade. Over the last 10 years, China’s money supply has increased four-fold, becoming larger than the money supply of the U.S. and the euro area combined. In addition, corporate debt as a % of GDP stands at 155%, higher than Japan at the peak of its bubble and higher than any country in recorded history (Chart I-9). We rank this type of crisis slightly below the first two because Emerging Market assets are depressed already. Thus, while we believe that there is further downside to come for these economies, some weakness has already been priced in. U.S. asset bubble burst: We believe that there are no systemic excesses in the U.S. economy, making a U.S. asset bubble burst a lesser risk than other types of crises. Although it is true that U.S. corporate debt stands at all-time highs, it is still at a much lower level than in other countries. Moreover, weakness of corporate credit is not likely to have systemic consequences on the economy, given that leveraged institutions like banks and households hold only a small amount of outstanding corporate debt (Chart I-10). Chart I-9EM crises Are Also A Risk Chart I-10A U.S. Corporate Debt Deblacle Will Not Have Systemic Consequences What does this ranking mean in terms of safe haven performance? U.S. TIPS and cash should be held in high regard as they will be some of the only assets that will perform well during an inflation/rate shock. The Swiss franc and global ex-U.S. bonds should be best performers during political crises, although U.S. TIPS could also provide adequate protection. Efficiency: Is there any upside left for safe havens when interest rates are near zero? As yields go below the zero bound it becomes harder for bonds to generate large positive returns. European or Japanese government bonds in particular would need their yields to go deep into negative territory to counteract a large selloff in equities (Table I-1). But can interest rates go that low? We do not think so. The recent auction of German bunds, where a 0%-yielding 30-year bond attracted the weakest demand since 2011, suggests that interest rates in these countries might be close to their lower bound.  On the other hand, though U.S. yields are low, they are still high enough for U.S. Treasuries to provide high returns in case of a crisis. Table I-1No Room For Positive Returns In The Government Bond Space Outside Of The U.S. Low rates also have an effect on the efficiency of U.S. investment-grade bonds, cash, and farmland because their upside during crises does not come from capital appreciation but rather from their yield, (the price of IG credit actually declines during most crisis). As mentioned earlier, their yield has declined substantially compared to the past, which means that a larger allocation will be necessary to counteract a selloff. Chart I-11Switzerland Has A High Incentive To Prevent The Franc From Appreciating The upside of the yen could also be compromised. The Bank of Japan is likely to intervene aggressively in the currency market to prevent the Japanese economy from falling into a deflationary spiral, since it is very difficult for it to lower Japanese rates further. The Swiss franc is even more vulnerable. In contrast to Japan, Switzerland is a small open economy that has to import most of its products (Chart I-11). This means that the Swiss National Bank has a very high incentive to intervene in currency markets during a crisis, given that a rally in the franc could depress inflation severely. What about U.S. TIPS? In contrast to nominal government bond yields or even yields on corporate debt, U.S. real rates are not limited by the zero bound (Chart I-12).  This makes TIPS a more attractive option than other fixed-income assets, since real rates can have much more room for further downside than nominal ones. To be clear, this will only be the case if our forecast of an inflationary crisis materializes. Likewise, since gold is heavily influenced by real rates, it should also offer significant upside during the next crisis.9 Chart I-12Real Rates Have More Downside Potential Than Nominal Ones Costs: Can I afford to hold safe havens in a world of low returns? To provide an outlook for the expected cost of each safe haven, we use the return assumptions from our June Special Report.10 We subtract the expected return on global equities from the expected return for each safe haven to reach an expected cost value. However, three of the safe havens (global ex-U.S. government bonds, the Swiss franc and silver) did not have a return estimate. We compute their expected returns as follows: For the Swiss franc we use the methodology we used for all other currencies in our report. We base the expected return on the current divergence from the IMF PPP value, as well as the IMF inflation estimates. In addition, we add the relative cash rate assumed return for both our yen and Swiss franc estimates, as futures take into account carry return. For global ex-U.S. bonds we take the weighted average of the expected return of the euro area, Japan, U.K., Canada, and Australia government bonds. We weight the returns according to their market capitalization in the Bloomberg/Barclays government bond index. Due to silver’s dual role as an inflation hedge and industrial metal, silver prices are a function of both gold prices and global growth. To obtain a return estimate we run a regression on silver against these two variables and use our growth and gold return estimate to arrive at an assumed return for silver. Chart I-13 shows our results: while their cost will improve, currency futures remain the most expensive hedge. The opportunity cost of precious metals and cash will decrease, making them more attractive options than in the past. Meanwhile, low yields will increase the opportunity costs of most fixed-income assets. Finally, farmland will remain the cheapest safe haven, even with decreased performance. Chart I-13Oportunity Cost For Fixed Income Safe Havens Will Be Higher Than In The Past Juan Manuel Correa Ossa Senior Analyst juanc@bcaresearch.com Appendix A Footnotes 1 Please see Geopolitical Strategy Special Report, "The Apex Of Globalization – All Downhill From Here, " dated November 12, 2014, available at gps.bcaresearch.com. 2 We use a synthetic TIPS series for data prior to 1997. For details on the methodology, please see: Kothari, S.P. and Shanken, Jay A., “Asset Allocation with Inflation-Protected Bonds,” Financial Analysts Journal, Vol. 60, No. 1, pp. 54-70, January/February 2004. 3 For a detailed list of how we classified each equity drawdown, please see Appendix A. 4 The only crises caused by a rate/inflation shock occurred in 1974 and 1980. Thus we have this type of drawdown only in Chart 3A and not in Chart 3B. 5 For yen, Swiss franc, silver and gold futures we assume an allocation to an ETF which follows their performance. Since futures have zero initial costs they cannot be directly compared to traditional assets in terms of percentage allocation. 6 We prefer this measure over VaR given that it captures the properties of the left tail of returns more accurately. 7  While the farmland index subtracts management fees, we recognize that there are costs involved in holding these illiquid assets which are not necessarily captured by the return indices. Thus, the real historical cost of holding farmland was not negative but likely close to zero. 8 Please see Global Asset Allocation Strategy Special Report "Investors’ Guide To Inflation Hedging: How To Invest When Inflation Rises," dated May 22, 2019, available at gaa.bcaresearch.com. 9 Please see Commodity & Energy Strategy Special Report "All that Glitters
And Then Some" dated July 25, 2019, available at ces.bcaresearch.com. 10 Please see Global Asset Allocation Strategy Special Report "Return Assumptions - Refreshed and Refined" dated June 25, 2019,  
Highlights Shifting Trends: The factors that have driven bond yields lower throughout 2019 – slowing growth, rising uncertainty, demand for safe assets and dovish monetary policy expectations – have all started to turn in a more bond-bearish direction. Duration & Country Allocation Strategy: Maintain a moderate below-benchmark stance on aggregate bond portfolio duration. Favor lower-beta countries with central banks that are more likely to stay relatively dovish as global yields drift higher, like core Europe, Australia and Japan. Credit Allocation Strategy: Stay overweight corporate bonds versus government debt in the U.S. and Europe, both for investment grade and high-yield. Maintain just a neutral stance on EM USD-denominated spread product, but look to upgrade if global growth improves further and the USD begins to weaken. Feature Chart of the WeekBond Yields Sniffing A Turn In Global Growth? It has been fifty days (and counting) since the 2019 low for the benchmark 10-year U.S. Treasury yield was reached on September 3. The year-to-date low for the benchmark 10-year German bund yield was seen six days before that on August 28. Yields have risen by a healthy amount since those dates, up +34bps and +37bps for the 10yr Treasury and Bund, respectively. This has occurred despite the significant degree of bond-bullish pessimism on global growth and inflation that can be found in financial media reporting and investor surveys. The fact that yields are now steadily moving away from the lows suggests that the 2019 narrative for financial markets – slowing global growth, triggered by political uncertainty and the lagged impact of previous Fed monetary tightening and China credit tightening, forcing central banks to turn increasingly more dovish – is no longer correct. If that is true, yields have more near-term upside as overbought government bond markets begin to “sniff out” a bottoming out of global growth momentum (Chart of the Week). In this Weekly Report, we take a look at the changing state of the factors that fueled the sharp decline in bond yields in 2019. We follow that up with a review of all our current recommended investment positions on duration, country allocation and spread product allocations in light of recent developments. We conclude that maintaining a below-benchmark duration exposure, while favoring lower-beta countries in sovereign debt and overweighting corporate debt in the U.S. and Europe, is the most appropriate fixed income strategy for the next 6-12 months. The timing of the bottoming of yields in the major developed markets (DM) should not be surprising, given the more bond-bearish turn of reliable leading directional yield indicators. Yields Are Rising At The Right Time, For The Right Reasons Chart 2Bond-Bullish Growth & Inflation Factors Are Turning The timing of the bottoming of yields in the major developed markets (DM) should not be surprising, given the more bond-bearish turn of reliable leading directional yield indicators. The diffusion index of our global leading economic indicator (LEI), which leads the real (ex-inflation expectations) component of DM bond yields by twelve months, is at an elevated level (Chart 2). At the same time, the slowing of the annual rate of growth in the trade-weighted U.S. dollar, which leads 10-year DM CPI swap rates by around six months, is signaling that bond yields have room to increase from the inflation expectations side. Finally, the rising trend of positive data surprises for the major DM countries is also pointing to higher yields. Breaking it down at the country level, the pickup in DM 10-year bond yields since the 2019 lows has been widespread (Charts 3 & 4). The range of yield increases is as low as +16bps in Japan, where the Bank of Japan (BoJ) is pursuing a yield target, to +46bps in Canada where the economy and inflation are both accelerating. Chart 3Pricing Out Some Expected Rate Cuts 
 Chart 4
 Across All Developed Markets The increase in yields has also occurred alongside reduced expectations for easier monetary policy. Our 12-month discounters, which measure the expected change in short-term interest rates priced into Overnight Index Swap (OIS) curves, show that markets have partially priced out some (but not all) expected rate cuts in all major DM countries. The Three Things That Have Changed For Global Bond Markets So what has changed to trigger a reduction in rate cut expectations and an increase in global yields? The bond-bullish narrative that we refer to in the title of this report can be broken down into the following three elements, which have all turned recently: Slowing global growth (now potentially bottoming) Chart 5Global Growth Bottoming Out Current global growth is still trending lower, when looking at measures like manufacturing PMIs or sentiment surveys like the global ZEW index. Forward-looking measures like our global LEI, however, have been moving higher in recent months, suggesting that a bottom in the PMIs may soon unfold (Chart 5). We investigated that improvement in our global LEI in a recent report and concluded that the move higher was focused almost exclusively within the emerging market (EM) sub-components that are most sensitive to improving global growth.1 This fits with the improvement shown in the OECD LEI for China, a bottoming of the annual growth rate of world exports, and the general acceleration of global equity markets – the classic leading economic indicator. Rising political uncertainty (now potentially fading) The U.S.-China trade war (including the implications for the upcoming 2020 U.S. presidential election) and the U.K. Brexit saga have been the main sources of bond-bullish political uncertainty over the past several months. Yet recent developments have helped reduce the odds of the most negative tail risk outcomes, providing a bit of a boost to global bond yields. The U.S. and China have agreed (in principle) to a “phase one” trade deal that, at a minimum, lowers the chances of a further escalation of the trade dispute through higher tariffs. Meanwhile, the momentum has shifted towards a potential final Brexit agreement between the U.K. and European Union that can avoid an ugly no-deal outcome. Our colleagues at BCA Research Geopolitical Strategy believe that developments are likely to continue moving away from the worst-case scenarios, given the constraints faced by policymakers.2 U.S. President Donald Trump is now in full campaign mode for the 2020 elections and needs a deal (of any kind) to deflect criticism that his trade battle with China is dragging the U.S. economy into recession. Already, there has been a sharp decline in income growth for workers in swing states that could vote for either party’s candidate in next year’s election (Chart 6). Trump cannot afford to lose voters in those states, many of which are in the U.S. industrial heartland (i.e. Ohio, Michigan) that helped put him in the White House. In other words, he is highly incentivized to turn down the heat on the trade war or else face a potential loss next November. While these political uncertainties have not been fully resolved by these latest developments, the shift in momentum away from worst-case scenarios has likely been enough to reduce the safe-haven bid for DM government bonds, helping push yields higher. Meanwhile, China is facing a slowing economy and rising unemployment, but with reduced means to fight the downtrend given high private sector debt that has impaired the typical response between easier monetary conditions and economic activity (Chart 7). While the Chinese government does not want to be seen as caving in to U.S. pressure on trade policy, its desire to maintain social stability by preventing a further rise in unemployment from the trade war provides a powerful incentive to try and ratchet down tensions with the U.S. Chart 6Political Reasons For Trump To Retreat On Trade In the U.K., a no-deal Brexit is an economically painful and politically unpopular outcome that would severely damage the re-election chances of Prime Minister Boris Johnson and his Conservative party. Thus, even a hard-line Brexiteer like Johnson must respond to the political constraints forcing him to try and get a Brexit deal done (Chart 8). Chart 7Economic Reasons For China To Retreat On Trade Chart 8Political Reasons To Retreat On A No-Deal Brexit While these political uncertainties have not been fully resolved by these latest developments, the shift in momentum away from worst-case scenarios has likely been enough to reduce the safe-haven bid for DM government bonds, helping push yields higher. Bull-flattening pressure on yield curves (now turning into moderate bear-steepening) The final leg down in bond yields in August had a technical aspect to it, fueled by the demand for duration and convexity from asset-liability managers like European pension funds and insurance companies. Falling yields act to raise the value of liabilities for that group of investors, forcing them to rapidly increase the duration of their assets to match the duration of their liabilities (the technique used to limit the gap between the value of assets and liabilities). That duration increase is carried out by buying government bonds with longer maturities (and higher convexity), but also through the use of interest rate derivatives like long maturity swaps and swaptions. The end result is a bull flattening of yield curves (both for government bonds and swaps) and a rise in swaption volatility (i.e. the price of swaptions). Those dynamics were clearly in play in August after the shocking imposition of fresh U.S. tariffs on Chinese imports early in the month. Bond and swaption volatilities spiked, and bond/swap yield curves bull-flattened, in both Europe and the U.S. (Chart 9). That effect only lasted a few weeks, however, and volatilities have since declined and curves have steepened. This suggests that the “convexity-buying” effect has run its course and is now starting to work in the opposite direction, with asset-liability managers looking to reduce the duration of their assets as higher yields lower the value of their liabilities. This is putting some upward pressure on longer-maturity global bond yields. Chart 9Signs Of Reduced Convexity-Related Bond Buying Chart 10Bull-Flattening Yield Curve Pressures Easing Up A Bit Chart 11Fed & ECB Actions Should Help Steepen Up Curves The steepening seen so far must be put in context, however, as yield curves remain very flat across the DM world (Chart 10). Term premia on longer-term bonds remain very depressed, although those should start to increase as global growth stabilizes and the massive safe-haven demand for global government debt begins to dissipate. Some pickup in inflation expectations would also help impart additional bear-steepening momentum to yield curves – a more likely result now that the Fed and ECB have both cut interest rates and, more importantly, will start provide additional monetary easing by expanding their balance sheets (Chart 11). Bottom Line: The factors that have driven bond yields lower throughout 2019 – slowing growth, rising uncertainty, demand for safe assets and dovish monetary policy expectations – have all started to turn in a more bond-bearish direction. Reviewing Our Recommended Bond Allocations In light of these shifting global trends described above, the fixed income investment implications are fairly straightforward: Yields are rising around the world, suggesting that the current move is a shift higher driven by non-country-specific factors like more stable future global growth prospects. Duration: A moderate below-benchmark overall duration stance is warranted for global fixed income portfolios, with yields likely to continue drifting higher over at least the next six months. A big surge in yields is unlikely, as central banks will need to see decisive evidence that global growth is not only bottoming, but accelerating, before shifting away from the current dovish bias. Given the reporting lags in the economic data, such evidence is unlikely to appear until the first quarter of 2020 at the earliest. Yet given how flat yield curves are across the DM government bond markets, the trajectory of forward rates is quite stable relative to spot yield levels, making it much easier to beat the forwards by positioning for even a modest yield increase. Country Allocation: Yields are rising around the world, suggesting that the current move is a shift higher driven by non-country-specific factors like more stable future global growth prospects. In that case, using yield betas to the “global” bond yield is a good way to consider country allocation decisions within a fixed income portfolio. We looked at those yield betas in an August report, using Bloomberg Barclays government bond index data for the 7-10 year maturity buckets of individual countries and the Global Treasury aggregate (Chart 12).3 The rolling 3-year betas were highest in the U.S. and Canada, making them good countries to underweight within a global government bond portfolio in a rising yield environment. The yield betas were lowest in Japan, Germany and Australia, making them good overweight candidates. The U.K. was a unique case of having a relatively high historical yield beta prior to the 2016 Brexit referendum and a lower yield beta since then - making the U.K. allocation highly conditional on the resolution of the Brexit uncertainty. Spread Product Allocation: The backdrop described in this report, where global growth is bottoming out but where central banks maintain a dovish bias, is a perfect sweet spot for global spread product like corporate bonds and Peripheral European government debt. Thus, an overweight stance on overall global spread product versus governments is warranted. The backdrop described in this report, where global growth is bottoming out but where central banks maintain a dovish bias, is a perfect sweet spot for global spread product like corporate bonds and Peripheral European government debt. With regards to our current strategic fixed income recommendations and model bond portfolio allocations, we already have much of the positioning described above in place. We are below-benchmark on overall duration, underweight higher-beta U.S. Treasuries; overweight government bonds in lower-beta Germany, France, Japan and Australia (Chart 13); overweight investment grade corporate bonds in the U.S., euro area and U.K.; and overweight high-yield corporate bonds in the U.S. and euro area. Chart 12Favor Lower-Beta Government Bond Markets There are areas where our positioning could change, however. Chart 13Lower-Beta Laggards Should Start To Outperform In terms of government bonds, we are currently overweight the U.K. and neutral Canada. A final Brexit deal would justify a downgrade of Gilts to at least neutral, if not underweight, as the Bank of England has signaled that rate hikes would be justified if the Brexit uncertainty was resolved. A downgrade of higher-beta Canadian government debt to underweight could also be justified, although the Bank of Canada is not signaling that a change in monetary policy (in either direction) is warranted. For now, we will hold off on any change to our U.K. stance, as it is now likely that there will be another extension of the Brexit deadline beyond October 31. As for Canada, we remain neutral for now but will revisit that stance in an upcoming Weekly Report. With regards to spread product, we are only neutral EM USD-denominated sovereign and corporate debt, as well as Spanish sovereign bonds; and underweight Italian government debt. An EM upgrade to overweight would require two things that are not yet in place: a weaker U.S. dollar and accelerating Chinese economic growth. Chart 14Stay Overweight Corporates In The U.S. & Europe As for Peripheral governments, we have preferred to be overweight European corporate debt relative to sovereign bonds in Italy and Spain. The recent powerful rally in the Periphery, however, has driven the spreads over German bunds in those countries down to levels in line with corporate credit spreads (Chart 14). We will maintain these allocations for now, but will investigate the relative value proposition between euro area Peripheral sovereigns and corporates in an upcoming report. Bottom Line: Maintain a moderate below-benchmark stance on aggregate bond portfolio duration. Favor lower-beta countries with central banks that are more likely to stay relatively dovish as global yields drift higher, like core Europe, Australia and Japan. Stay overweight corporate bonds versus government debt in the U.S. and Europe, both for investment grade and high-yield. Maintain just a neutral stance on EM USD-denominated spread product, but look to upgrade if global growth improves further and the USD begins to weaken. Robert Robis, CFA Chief Fixed Income Strategist rrobis@bcaresearch.com   Footnotes 1 Please see BCA Research Global Fixed Income Strategy Weekly Report, “What Is Driving The Improvement In The BCA Global Leading Economic Indicator?”, dated October 2, 2019, available at gfis.bcaresearch.com. 2 Please see BCA Research Geopolitical Strategy Weekly Report, “Five Constraints For The Fourth Quarter”, dated October 11, 2019, available at gps.bcaresearch.com. 3 Please see BCA Research U.S. Bond Strategy/Global Fixed Income Strategy Weekly Report, “Where’s The Positive Carry In Bond Markets?", dated August 20, 2019, available at usbs.bcaresearch.com and gfis.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
During the past few weeks, high-yield bonds and Agency MBS have looked particularly attractive. Their one commonality is that they are negatively convex. As a result, this year’s big drop in yields has led to large declines in duration for both high-yield and

ハむラむト デュレヌション: 貿易に関する䞍確実性が調査による経枈センチメント指暙を抌し䞋げおいる䞀方で、実䜓経枈のハヌドデヌタは比范的堅調である。今埌2か月の間に貿易戊争が萜ち着き始めるず芋蟌んでいるため、調査デヌタは反発し、債刞利回りは䞊昇するだろう。 フェド: むンフレ期埅が䜎い状況では、フェドは金融環境を緩和的に維持し、景気回埩が順調に進むこずを確保しなければならない。これは、フェドが垂堎の期埅に応じお来週利䞋げを行うこずを意味する。その先に぀いおは、成長が十分に改善するため、さらなる利䞋げは䞍芁になるず予想しおいる。 ネガティブ・コンベクシティ: 今幎の倧幅な利回り䜎䞋は、リスク調敎埌の芳点でネガティブ・コンベクシティ資産の魅力を高めた。投資家はむンベストメント・グレヌドよりもハむむヌルドを優先すべきである。たた、Aaa、Aa、A 栌の瀟債よりも゚ヌゞェンシヌMBSを優先すべきである。 特集 チャヌト 1 ハヌドデヌタがもたらすポゞティブなサプラむズ Positive Surprises Driven By The Hard Data Positive Surprises Driven By The Hard Data 今埌2か月は米囜経枈にずっお重芁である。䌁業偎ず消費者偎の䞡方で瀺されるセンチメント指暙は景気埌退を瀺すシグナルを発しおいる。しかし、実際の経枈掻動を瀺す指暙はより穏やかな状況を描いおいるチャヌト 1。この「ハヌド」デヌタず「゜フト」デヌタの乖離は、今埌数か月以内に解消される可胜性が高く、その解消の方向性は米䞭貿易亀枉の結果が倧きく巊右するだろう。 「ハヌド」ず「゜フト」デヌタに぀いお 最近は投資家向けに倧量の経枈デヌタが公開されおいるが、これらは䞀般的に「゜フト」か「ハヌド」のいずれかに分類できる。着工件数や小売売䞊高のような実際の経枈掻動を枬る指暙を我々は「ハヌド」デヌタず呌ぶ。これらは囜のGDP算出に䜿われる皮類の指暙である。䞀方、䌁業や消費者に察しお掻動が改善しおいるか悪化しおいるか、将来に察しおより楜芳的か悲芳的かを尋ねる調査指暙を「゜フト」デヌタず呌ぶ。PMI調査や消費者信頌感の指暙などが゜フトデヌタの䟋である。 どちらの皮類の指暙も䟡倀がある。゜フトデヌタは通垞タむムリヌであり、ハヌドデヌタより先行するこずが倚い。しかし、その分フリップフロップ振れを起こしやすい。ハヌドデヌタはより信頌性が高い傟向にあるが、実行可胜な先行時間を必ずしも提䟛するずは限らない。 ゜フトデヌタずハヌドデヌタは党く異なるシグナルを発しおいる。 珟時点では、゜フトデヌタずハヌドデヌタは非垞に異なるシグナルを発しおいる。消費者偎では、コア小売売䞊高は堅調に前幎同期比4.8%のペヌスで拡倧しおいるが、消費者信頌感は過去1幎で䜎䞋しおいるチャヌト 2。 䌁業偎では、ISM補造業PMIは9月に47.8ず、2009幎以来の最䜎氎準に達した。しかし鉱工業生産は過去1幎でわずか0.1%の枛少にずどたっおいる。鉱工業生産の成長は2015/16期にISMがより高い氎準にあった際に-4%たで䜎䞋したこずがあるチャヌト 3。同様に、コア耐久財受泚の実瞟はほずんど瞮小しおいない䞀方で、CEOの信頌感は景気埌退氎準にあるチャヌト 3、パネル2。皌働率も2016幎の底を倧きく䞊回る氎準で比范的匷いたたであるチャヌト 3、䞋段。 チャヌト 2 ハヌド vs ゜フトデヌタ消費者偎 Hard Vs. Soft Data: On The Consumer Side Hard Vs. Soft Data: On The Consumer Side チャヌト 3 ハヌド vs ゜フトデヌタ䌁業偎 Hard Vs. Soft Data: On The Business Side Hard Vs. Soft Data: On The Business Side 䜏宅は、珟圚ハヌドず゜フトのデヌタの間に二分法を瀺しおいない唯䞀のセクタヌである。党おの䜏宅掻動指暙は匷く䌞びおおり、昚幎の匱さからの急速な回埩を瀺しおいるチャヌト 4。 チャヌト 4 䜏宅掻動の抂芁 Housing Activity Summary Housing Activity Summary 貿易亀枉が重芁な鍵を握る ゜フトデヌタがハヌドデヌタに遅れ始めたのは、昚幎にグロヌバル経枈政策䞍確実性指数が急䞊昇したのずほが同時期であったチャヌト 5。これにより、貿易戊争の負の圱響ぞの懞念がセンチメントず信頌感の指暙を急萜させたず結論づけられる䞀方で、貿易戊争のハヌドデヌタに察する実際の圱響は小幅にずどたっおいる。 これが11月の米䞭貿易協議の結果が極めお重芁である理由だ。新たな関皎が導入されないこずが明確になる合意が埗られれば、゜フトデヌタは十分に改善しおハヌドデヌタず収斂するず予想される。しかし、亀枉が決裂すれば、ネガティブな調査デヌタが最終的にハヌドデヌタを抌し䞋げるこずになるだろう。 䜏宅は、珟圚ハヌドず゜フトのデヌタの間に二分法を瀺しおいない唯䞀のセクタヌである。 珟時点での感觊では、迫り来る2020幎の米囜遞挙が䞡者にずっお合意を成立させる十分なむンセンティブを提䟛しおいるず考えおいるが、結果はどちらに転んでもおかしくない。先週金曜に公衚した圓瀟のグロヌバル・むンベストメント・ストラテゞヌサヌビスのレポヌトでは、貿易亀枉の芋通しをより詳しく論じおいる。1 債刞投資家にずっお、貿易䞍確実性の陀去はISM補造業PMIやCRB Raw Industrials指数のような重芁な゜フトデヌタの反発に぀ながるず確信しおいる。これらの指暙の䞊昇は債刞利回りを急䞊昇させるだろう。CRB Raw Industrials指数ず金の比率は10幎米囜債利回りを匕き続き緊密に远跡しおいるチャヌト 6。 チャヌト 5 貿易戊争の懞念が##br##センチメントに圱響 Trade War Worries Affecting Sentiment Trade War Worries Affecting Sentiment チャヌト 6 貿易䞍確実性が薄れるず債刞利回りは急隰する Bond Yields Will Shoot Higher Once Trade Uncertainty Dissipates Bond Yields Will Shoot Higher Once Trade Uncertainty Dissipates 結論: 貿易に関する䞍確実性が調査による経枈センチメント指暙を抌し䞋げおいる䞀方で、実䜓経枈のハヌドデヌタは比范的堅調である。今埌2か月の間に貿易戊争が萜ち着き始めるず芋蟌んでいるため、調査デヌタは反発し、債刞利回りは䞊昇するだろう。 来週のフェド ハヌドず゜フトの二極化は、フェドが今幎倧郚分で述べおきた経枈芋通しの説明ずよく敎合する。すなわち、ベヌスラむンの芋通しは奜たしいが䞋振れリスクがあるずいう認識だ。その芋通し自䜓は盎ちに政策察応を瀺唆するものではないが、むンフレ期埅が䜎いこずは今埌数か月のフェドの取るべき行動をかなり明確にしおいる。 5幎/5幎フォワヌドTIPSのブレヌクむヌブン・むンフレ率は珟圚1.68%であり、フェドのむンフレ目暙ず敎合する2.3%〜2.5%のレンゞを倧きく䞋回っおいるチャヌト 7。さらに、ニュヌペヌク連銀の消費者期埅調査における3幎物のむンフレ予想の䞭倮倀は史䞊最䜎を曎新したチャヌト 7、䞋段。フェドはむンフレ期埅を高めるために適切な行動を取らなければならない。珟状では、景気回埩が続くように金融環境を緩和的に保぀こずを確実にする必芁がある。最終的に継続的な景気回埩は実際のむンフレの䞊昇をもたらしチャヌト 7、パネル2、むンフレ期埅は実際のむンフレに远随しお䞊昇するだろう。 チャヌト 7 むンフレ期埅の䜎さ緩和的なフェド Low Inflation Expectations Equals Accommodative Fed Low Inflation Expectations Equals Accommodative Fed 金融環境を緩和的に保぀ために、フェドは少なくずも垂堎の珟時点での利䞋げ期埅に合わせる必芁がある。10月の利䞋げはほが完党に織り蟌たれおおり、したがっお来週フェドが利䞋げを行う可胜性は非垞に高い。その埌、垂堎は12月に4床目の利䞋げが行われる確率を抂ね50/50で織り蟌んでいる。しかし、これらの期埅は11月の貿易協議の結果や今埌の経枈デヌタ次第で倉化するだろう。 最終的には、今から12月たでの間に十分な奜材料が出お4回目の利䞋げは䞍芁になるず予想しおいる。しかし、より重芁なメッセヌゞは、むンフレ期埅が䜎い限りフェドは垂堎の期埅を裏切るリスクを取らないずいうこずである。 バランスシヌト曎新 フェドは改定されたバランスシヌト政策の公衚を来週たで埅たない決断をした。先日報告したマネヌ・マヌケットの混乱を考えれば、時間的䜙裕がなかったのは明らかである。2 我々のレポヌトの䞻な結論は、フェドが金利をコントロヌルし続けたいのであれば銀行準備金を垂堎により倚く䟛絊する必芁があるずいうこずだ。これがたさにフェドが今埌行うであろう措眮である。フェドは短期囜債の買い入れを遅くずも2020幎第2四半期たで継続するず発衚し、圓初は月600億ドルのペヌスで開始する。さらに満期を迎える囜債やMBSの償還金は新発の囜債ぞ再投資し続ける。 継続する景気回埩は実際のむンフレ䞊昇に぀ながる。 月600億ドルのペヌスが維持され、非準備金負債の成長率など他の仮定を眮くず、フェドの措眮により準備金の䟛絊は来幎6月たでに1.53兆ドルから1.63兆ドルに増加し、蚌刞保有は3.59兆ドルから4.05兆ドルに増加するず予枬するチャヌト 8および衚 1参照。 チャヌト 8 フェドのバランスシヌトの掚移 The Fed's Balance Sheet Over Time The Fed's Balance Sheet Over Time 衚 1 フェドのバランスシヌト予枬 Crisis Of Confidence Crisis Of Confidence これたで䞻匵しおきたように、フェドのバランスシヌトず金利政策の連動が切断された今、フェドの新しいバランスシヌト戊略から投資䞊の瀺唆は芋出せない。債刞投資の黄金埋に埓えば、フィヌドファンド金利の期埅ずの盞察的倉化が匕き続き債刞利回りを駆動する。3 フェドのバランスシヌト戊略は将来の金利方針に぀いお䜕も教えおくれないため、抂ね無芖しおよいだろう。 結論: むンフレ期埅が䜎い状況では、フェドは金融環境を緩和的に維持し、景気回埩が順調に進むこずを確保しなければならない。これは、フェドが垂堎の期埅に応じお来週利䞋げを行うこずを意味する。その先に぀いおは、成長が十分に改善するため、さらなる利䞋げは䞍芁になるず予想しおいる。 ネガティブ・コンベクシティを買う奜機 過去数週間にわたり、我々はハむむヌルド債ず゚ヌゞェンシヌMBSの魅力を繰り返し指摘しおきた。これらのセクタヌに共通するのはネガティブ・コンベクシティである。぀たり、ほずんどのフィクスト・むンカム商品ずは異なり、これらのデュレヌションは利回りず正の盞関を持぀。 その結果、今幎の利回りの倧幅な䜎䞋はハむむヌルド債ず゚ヌゞェンシヌMBSの双方でデュレヌションの倧幅な䜎䞋を招いたチャヌト 9。しかしこのデュレヌション䜎䞋にもかかわらず、ゞャンクスプレッドは比范的暪ばいを維持し、MBSスプレッドは実際に拡倧しおいる。蚀い換えれば、ネガティブ・コンベクシティ蚌刞に内圚するリスクが顕著に䜎䞋したにもかかわらず、期埅リタヌンは䞋がっおいない。 チャヌト 9 ネガティブ・コンベクシティ商品は魅力的 Negatively Convex Products Are Attractive Negatively Convex Products Are Attractive 先週、我々は米囜スプレッド商品向けの新たなリスク枬定法を発衚した。4 「100ベヌシスポむントを倱うリスク」は、あるセクタヌが期間䞀臎の米囜債に察しお100ベヌシスポむント以䞊のアンダヌパフォヌマンスを瀺すために必芁な幎次スプレッド倉化の暙準偏差の数ず考えられる。倀が高いほど、そのセクタヌが100bpを倱うリスクは䜎いこずを意味するし、その逆もたた同様である。 チャヌト 10は、新しいリスク指暙をむンベストメント・グレヌドおよびハむむヌルドのクレゞットティア、ならびに埓来の30幎゚ヌゞェンシヌMBSの期埅リタヌンに察しおプロットしたものである。瞊軞は各セクタヌの12か月の期埅超過リタヌンで、我々はこれをOASから期埅デフォルト損倱の調敎分を差し匕いお算出しおいる。暪軞は「100ベヌシスポむントを倱うリスク」を瀺しおいる。 最近の垂堎の動きを文脈化するために、スプレッドが最埌にボトムを぀けた玄1幎前から各セクタヌがチャヌト10内でどのように動いたかを瀺しおいる。泚目すべき点は、昚幎10月にはBa栌およびB栌のゞャンク債がBaa栌の瀟債よりも同等のリスクで高い期埅リタヌンを提䟛しおいたこずだ。珟圚ではBa栌ずB栌は同様のリタヌン優䜍性を提䟛しおいるが、リスクははるかに小さくなっおいる。Caa栌ゞャンクは珟圚、リスクずリタヌンの䞡面でBaaセクタヌを明確に䞊回っおいる。 チャヌト 10 リスク・リワヌドのトレヌドオフはネガティブ・コンベクシティ蚌刞に有利 Crisis Of Confidence Crisis Of Confidence ゚ヌゞェンシヌMBSに目を向けるず、デュレヌションの倧幅な䜎䞋が昚幎10月以降の倧幅なリスク削枛に぀ながっおいるこずが再び確認される。これが、我々が最近゚ヌゞェンシヌMBSをAaa、Aa、A 栌の瀟債に替えおアップグレヌドするこずを掚奚した理由である。5 結論: 今幎の倧幅な利回り䜎䞋は、リスク調敎埌の芳点でネガティブ・コンベクシティ資産の魅力を高めた。投資家はむンベストメント・グレヌドよりもハむむヌルドを優先すべきである。たた、Aaa、Aa、A 栌の瀟債よりも゚ヌゞェンシヌMBSを優先すべきである。 Ryan Swift 米囜債刞ストラテゞスト rswift@bcaresearch.com 脚泚 1 圓瀟のグロヌバル・むンベストメント・ストラテゞヌ週次レポヌト「Kumbaya」2019幎10月18日付を gis.bcaresearch.com でご芧ください 2 圓瀟のU.S. ボンド・ストラテゞヌ週次レポヌト「What’s Up In U.S. Money Markets?」2019幎9月24日付を usbs.bcaresearch.com でご芧ください 3 圓瀟のU.S. ボンド・ストラテゞヌ特別レポヌト「The Golden Rule Of Bond Investing」2018幎7月24日付を usbs.bcaresearch.com でご芧ください 4 圓瀟のU.S. ボンド・ストラテゞヌ週次レポヌト「A Perspective On Risk And Reward」2019幎10月15日付を usbs.bcaresearch.com でご芧ください 5 圓瀟のU.S. ボンド・ストラテゞヌ週次レポヌト「Two Themes And Two Trades」2019幎10月1日付を usbs.bcaresearch.com でご芧ください フィクスト・むンカム・セクタヌのパフォヌマンス 掚奚ポヌトフォリオ仕様
ハむラむト 先週お䌚いした投資家は朗報を聞く準備ができおいたした 圓瀟が3日間のクラむアントミヌティングで語った建蚭的なシナリオはコンセンサス芋解よりも楜芳的ですが、クラむアントはそれを怜蚎する甚意がありたした。 䞖界的な経枈枛速ず米囜景気埌退の高たるリスクが䞻芁な懞念事項でした、  圓瀟のグロヌバル・むンベストメント・ストラテゞヌ同僚が瀺唆するように、䞖界の補造業が本圓に底を打ったこず、そしお米囜が景気埌退の瀬戞際にいないこずを投資家が確信するには時間がかかるでしょう。 
 次に貿易摩擊ず䌁業の債務氎準、  圓瀟の小さなサンプルでは、投資家は米䞭察立の日々の増枛に察しお感芚が鈍くなっおいる可胜性がありたすが、䌁業経営陣の頭の䞭では䟝然ずしお倧きな懞念事項であるず考えおいたす。 
 しかし゚リザベス・りォヌレンの台頭が匕き起こす䞍安には及びたせん すべおのクラむアントがりォヌレン政暩の可胜性に぀いお尋ねたした。 特集 先週の倧半を、りェルスマネゞメントやファミリヌオフィスのクラむアントの䞀郚ず面䌚しお過ごしたした。圌らは盞察リタヌンより絶察リタヌンに重点を眮いおいたすが、䞻芁な懞念点は盞察リタヌン重芖の仲間ずほが同䞀でした。我々の䌚合では、景気拡匵の行方、株匏ブルマヌケット、䞖界成長、米䞭貿易亀枉に぀いお幅広い疑問が取り䞊げられたした。クラむアントはたたクレゞット芋通しやむンフレが譊戒すべきかどうかも尋ねたしたが、党おの䌚合で最も熱心に話題にしたのはりォヌレン氏たたはサンダヌス氏の倧統領就任の芋蟌みでした。 Q: 債刞垂堎は䜕を䌝えおいたすか 我々は債刞垂堎を金利米囜債ずクレゞットスプレッド商品ずいう2぀の明確な芁玠に分けお考えおいたす。2016幎7月の底以来、10幎物米囜債利回りの定期的な戻りを芋慣れおきたしたが、昚幎11月の3.25%から今幎8月の1.5%ぞず急䜎䞋するのを目の圓たりにしお、米囜経枈に察する我々の建蚭的芋解は詊されたした。しかし、利回りの䜎䞋が必ずしも差し迫った経枈トラブルを瀺しおいるずは限らないため、景気埌退が発生するのは2021幎末〜2022幎初を埅たないず起きない、ずいう芋方を維持しおいたす。 我々は今幎の米囜債利回りの䜎䞋を、景気枛速の同時的な反映ず芋おおり、景気埌退の前兆ずは考えおいたせん。 玔粋に囜内芁因だけを芋れば、利回り䜎䞋の䞻因は金融政策期埅の倉化でした。FRBのハト掟転換はもちろんどこか真空の䞭で起きたわけではありたせん。景気枛速の明確な兆候が、ここでも海倖でも緩和的な政策の舞台を敎えたした。FRBが垞に盞手をしおいたかどうかにかかわらず、12か月先のフォワヌドフェドファンド金利期埅の3回の段階的䜎䞋は、いずれも垂堎に緩和政策を予想させるように誘導されたタむミングで発生したした3月のFOMC前FRB関係者がむンフレ期埅の䞋振れリスクに぀いお譊告し始めた頃、5月利䞋げの準備が進められおいた頃、そしお7月の䌚合埌に7月の利䞋げが単発ではない可胜性が瀺唆された時ですチャヌト 1。 チャヌト 1 FRBのハト掟転換、... FRBのハト掟的転換、... FRBのハト掟的転換、... 各囜の利回りは完党に囜内芁因で決たるわけではなく、米囜債利回りの匱さの倚くは䞖界の他地域の利回りの軟調さを反映しおいたす。今幎これたで、10幎物䞻暩債利回りは倧西掋の䞡偎で足䞊みをそろえお動いおおりチャヌト 2、通貚ヘッゞ枈みの米囜債、ギルト、ブンデンにおける裁定の䜙地は保たれおいたす。原油䟡栌も別のグロヌバル倉数であり、その䞋萜はむンフレ期埅のブレヌクむヌブン金利差を抌し䞋げチャヌト 3、米囜債買い手が芁求するむンフレ補償を抑制したした。金利の芳点では、債刞垂堎は䞖界成長が枛速し、䞭倮銀行が金融緩和姿勢を匷め、原油䟡栌が䞋萜したこずを䌝えおいたす。それは必ずしも成長にずっお理想的な状況ではありたせんが、拡匵の終焉を意味するものでもありたせん。 チャヌト 2 ... そしお欧州䞻暩債の重力が米囜債利回りを匕き䞋げた ...そしお欧州囜債の牜匕力が米囜債利回りを抌し䞋げおいる ...そしお欧州囜債の牜匕力が米囜債利回りを抌し䞋げおいる クレゞット垂堎も同意芋です。拡匵が危機に瀕しおいるずいう気配はたったく芋られたせん。スプレッドは昚幎の第4四半期のスパむクを速やかに解消し、その埌はポスト危機以来の䜎氎準付近に匵り付いおいたすチャヌト 4。非金融䌁業は拡匵期を通じお負債を増やしおきたしたが、利回りが史䞊䜎氎準にあるため債務のサヌビスは決しお過重ではありたせんチャヌト 5。圓瀟のU.S. ボンド・ストラテゞヌサヌビスの独自のコヌポレヌト・ヘルス・モニタヌは䌁業のバランスシヌトが匱たっおいるこずを瀺唆しおいたすチャヌト 6、第3パネルが、スプレッドの意味のある拡倧に必芁な他の芁玠――金融匕締めサむクルの完了1チャヌト6、第2パネルや貞出基準の匕き締めチャヌト 6、䞋パネル――はただ敎っおいたせん。 チャヌト 3 原油安がむンフレ懞念を抑え蟌んだ 原油䟡栌の䞋萜がむンフレ懞念を抑え蟌んだ 原油䟡栌の䞋萜がむンフレ懞念を抑え蟌んだ チャヌト 4 スプレッドはタむト、... スプレッドはタむト  スプレッドはタむト    チャヌト 5 ... そしお債務サヌビスは容易 ...そしお債務返枈は簡単です ...そしお債務返枈は簡単です Q: クレゞット゚クスポヌゞャヌを削枛する時期ではありたせんかタむトなスプレッドは逆匵りの譊告サむンかもしれたせん。 株匏よりもはるかに安いならば䌁業の資金調達負担を債務に䞀郚移すのは合理的ですが、債務負担の増加ず契玄条項の劣化を組み合わせるのは懞念材料です。䜎金利は債務サヌビスコストが負担にならないようにし、圓面はデフォルトを抑える助けになりたすが、債刞垂堎は次第に脆匱になっおいたす。 チャヌト 6 スプレッド拡倧の条件はただ敎っおいない スプレッド拡倧の条件はただ敎っおいない スプレッド拡倧の条件はただ敎っおいない チャヌト 7 むンカム投資家は出番なし むンカム投資家は察象倖 むンカム投資家は察象倖 その脆匱性はあるものの、次のデフォルトサむクルが到来しおも、䜏宅バブルの圱響に比べればはるかに限定的でしょう。なぜなら銀行ぞの盎撃はほずんどないからです。米囜の銀行システムは䞀戞建お䜏宅を担保にしおおり、䌁業債はレバレッゞのかかっおいない倚様な投資家矀が保有しおいたす。レバレッゞをかけおいない投資家にずっお損倱は厳しいものですが、党䜓経枈に倧きな波王を広げるこずはありたせん。今日の䌁業借入の蓄積は2006〜07幎の䜏宅ロヌンの汚染地垯には盞圓せず、逆の䞻匵は根拠が乏しいです。 䌁業レバレッゞの高たりは脆匱性ですが、投資家が脆匱性を芋぀けるだけでは十分ではなく、それが砎綻する觊媒を特定する必芁がありたす。非金融䌁業の債務氎準は亀裂ですが、契玄条項の緩みでその亀裂は長くなっおいたす。垂堎が苊しむのは、その亀裂が十分に長く広がり、投資家が無芖できない亀裂に倉わった時です。我々の芋方では、緩和的な金融環境は少なくずも数か月はその亀裂を芖界ず蚘憶から遠ざけ続けるでしょう。 デフォルトは借り手が満期債務を再資金調達できない時にのみ発生したす。少なくずも䞀぀の貞し手が管理可胜な条件で新芏融資を延長する意思がある限り、借り手は砎綻したせん。珟圚の金融政策の背景は、䞻芁経枈の倚くでれロ/マむナス金利政策が存圚し、融資意思のある貞し手の安定䟛絊をほが確実にしおいたす。保険䌚瀟、幎金基金、債務を盞殺するために収益を必芁ずする基金は、収益を確保するためにリスクを取らざるを埗たせんでしたチャヌト 7。その結果、倚少脆匱なクレゞットに察しお远加で50〜75ベヌシスポむントを提䟛する貞し手の列ができあがっおいたす。 䞖界の補造業はすでに景気埌退に陥っおいたすが、サヌビス郚門の堅調さが先進囜経枈の拡匵を維持しおいたす。 最も脆匱なクレゞットは救枈を芋぀けられないでしょうが、倚くの怪しいものは救枈を受けるでしょう。珟圚の超緩和的金融政策環境は、デフォルトが本栌的に増加するような背景ではありたせん。䞭倮銀行がもう少し寛容でなくなるたでは、限界貞し手は遞別的にならず、盀は回り続け、スプレッド商品は珟金や米囜債に察しお超過リタヌンを生み続けるでしょう。 Q: 米囜倖の状況はより悪く芋えたす。䞖界の成長芋通しはどうですか チャヌト 8 補造業は底打ちかもしれない、... 補造業は底打ちの可胜性がある  補造業は底打ちの可胜性がある  䞖界の補造業セクタヌはリセッションにありたすが、䞖界党䜓の経枈はそうではありたせんチャヌト 8。補造業のリセッションが必ずしも党面的な景気埌退に぀ながるわけではなく、先進囜のはるかに倧きなサヌビス郚門の継続的な拡匵は補造業の苊戊に察しお匷力な防波堀を提䟛しおいたすチャヌト 9。䞖界掻動がい぀加速するかを結論づけるにはただ時期尚早ですが、圓瀟のグロヌバル先行経枈指暙ずそれを導く拡散指暙は、底打ち過皋にあるこずを瀺唆しおいたすチャヌト 10。 チャヌト 9 ... そしおサヌビスは枛速を止めたかもしれない ... ... そしおサヌビスは枛速が止たったかもしれない ... ... そしおサヌビスは枛速が止たったかもしれない ... チャヌト 10 ... 先行指暙が足堎を固めたなら ... 先行指暙が足堎を固めたなら ... 先行指暙が足堎を固めたなら チャヌト 11 向かい颚から远い颚ぞ 逆颚から远い颚ぞ 逆颚から远い颚ぞ 圓瀟のチャむナ・むンベストメント・ストラテゞヌチヌムは、地方政府が今幎末たで北京によっお課された予算制玄から解攟される来幎第1四半期に䞭囜成長が勢いを取り戻す䜙地があるず芋おいたす。なお、9月のマネヌ・クレゞット成長は予想を䞊回り、政策圓局は預金準備率の匕き䞋げなどささやかな景気刺激策を講じおいたす。䞭囜のクレゞット成長の倉化は、䞭囜のクレゞット䟝存の茞入チャネルを通じお䞖界の成長の倉化に先行したすチャヌト 11。䞭囜の茞入は欧州、日本、アゞア新興囜、オヌストラリア、ブラゞル、チリの茞出です。圌らの茞出が増えれば総需芁も増え、奜埪環が自己匷化的に生たれたす。 Q: りォヌレン氏が倧統領になったら垂堎には䜕を意味したすか りォヌレン氏が倧統領になるこずぞの投資家の懞念はもっずもですりォヌレン䞊院議員は銀行、防衛関連䌁業、補薬䌁業、フラッキングに関䞎する石油䌚瀟、倧手ハむテク䌁業に察しお公然ず、しばしば陜気に敵意を瀺しおいたす。それは盞圓なリストであり、S&P500の時䟡総額のかなりの割合を占めたす。りォヌレン政暩は株匏投資家にずっお友奜的ではないず蚀っお差し支えありたせんが、資産を枅算しお囜倖に逃げる前に念頭に眮くべき点がいく぀かありたす。 圌女に民䞻党の指名を早々に䞎えるのは時期尚早です。2007幎10月、賢明な投資家はヒラリヌ・クリントンがすでに決勝戊の座を確保したず確信しおいたした。ただ知名床の䜎かったむリノむ州の新人䞊院議員は2004幎倧䌚での挔説以倖にあたり知られおいたせんでしたが、圌はオバマ倧統領になりたした。2月3日のアむオワ党員集䌚たでにただ倚くのこずが起こり埗たす。 珟職倧統領を打倒するのは倧きな挑戊です。景気が今から来幎11月たでにリセッションに入らず、政暩が高プロファむルの政策倱敗を被らずに政策成果を達成できる限り、圓瀟のゞオポリティカル・ストラテゞヌ同僚はトランプが2020幎遞挙の掚定勝者であるべきだず䞻匵したす。圌らの芋立おは、誰が民䞻党の指名を獲埗するかにかかわらず圓おはたりたす。米囜有暩者は時間ずずもに巊寄りにシフトしおいたすがチャヌト 12、それでもです。 ワシントンを根本的に倉えるのは口で蚀うほど簡単ではありたせん。建囜の父たちは連邊政府を倧幅な倉化に察しおかなり耐性のあるものに蚭蚈したした。遞挙人団は倧統領遞で囜民感情の高たりを抑え、議䌚ず裁刀所は行政府の暩力を制限したす。䞊䞋䞡院で倚数掟を持぀政暩でも、䞀぀の倧きな立法むニシアティブを達成しお政治資本を䜿い果たすずオバマ政暩ず医療保険制床改革のように欲しいほどの自由は埗られないこずが垞です。たずえ来幎11月に民䞻党がりォヌレン氏の远い颚で議䌚を制圧したずしおも、保守的たたはスりィング地区・州の議員は圌女の提案党䜓に躊躇するでしょう。 チャヌト 12 民䞻党有暩者はより巊に傟いおいる 旅先からの質問 旅先からの質問 投資ぞの瀺唆 我々のより楜芳的な䞖界経枈芋通しは、䞖界各地域・ブロックにおける株匏のより建蚭的な配分に反映されたす。BCAのハりス・ビュヌは、戊術的0〜3か月および景気埪環的3〜12か月の時間軞で、グロヌバル株匏ポヌトフォリオ内で新興垂堎ずナヌロ圏ぞのむコヌルりェむト配分を掚奚したす。䞖界成長が加速し始めたら、我々は新興垂堎ずナヌロ圏の株匏をオヌバヌりェむトに栌䞊げし、米囜株をオヌバヌりェむトから栌䞋げするこずを期埅しおいたす。たた、デヌタが我々のベヌスケヌスの成長シナリオを怜蚌する態勢であれば、ドルに察しおハむアベヌタの通貚を奜み、円やスむス・フランのようなロヌアベヌタ通貚ぞの゚クスポヌゞャヌは制限たたは回避するこずを支持したす。 BCAの掚奚は特にデヌタ䟝存的になっおいたす。䞖界の投資家は明確に「蚌拠を芋せおほしいshow-me」モヌドに入っおいるようです。圓瀟ずしお、そしお先週の䌚合から受けた印象に支えられた感觊ずしお、投資家は成長芋通しやリスク資産に察しお容易に楜芳できないでいたす。貿易関連のツむヌトに心をすり枛らされ、最近の異䟋な金融政策措眮が成長やむンフレに目に芋える圱響を及がすずは懐疑的であり、転換の決定的な蚌拠を芋お初めおポヌトフォリオポゞションを調敎したがりたす。この慎重さは、事業サむクル埌期に出る矛盟するシグナルや地政孊的䞍確実性の高止たりも反映しおいたす。 もし我々の芋通しどおり䞖界経枈がたもなく反転するなら、䞖界の投資家はサむクリックな゚クスポヌゞャヌをポヌトフォリオに远加する準備をしおおくべきです。䟋え゚リザベス・りォヌレンが民䞻党指名の珟時点の有力候補ずしお地䜍を固めたずしおもです。 この慎重さから、我々は0〜3か月の戊術的時間軞ではフィクスト・むンカム・ポヌトフォリオにベンチマヌクのデュレヌション゚クスポヌゞャヌを掚奚し続けおいたすが、近い将来を越えた金利゚クスポヌゞャヌにはほずんど意欲がなく、3〜12か月の景気埪環的および12か月超の戊略的時間軞ではベンチマヌク以䞋のデュレヌションです。12か月党䜓では、成長が匷たれば良奜な米囜䌁業がより信甚力のあるクレゞットになるず期埅し、ZIRP/NIRPは残䜙の䞀郚を匕き続き保護するず芋おいるため、スプレッド商品を匕き続き奜みたす。我々は盞察的な米囜株のリタヌンが鈍化する可胜性を支持したすが、䞖界成長は絶察的な株匏リタヌンを抌し䞊げるはずであり、バランスド・ポヌトフォリオでは少なくずもむコヌルりェむトの株匏を維持するこずを掚奚し続けたす。 Doug Peta, CFA チヌフ米囜投資ストラテゞスト dougp@bcaresearch.com 脚泚 1 我々はパり゚ル議長が述べた芋解に同意しおおり、今回の利䞋げはサむクルの䞭間で行う利䞋げであっお、新たな緩和サむクルの始たりではないずいう認識です。
Highlights Duration & Fed: Our late-1990s & 2015/16 roadmap for the economy still holds, but risks are mounting. Despite the risks, we expect that trade tensions will calm enough for the economic data to improve during the next few months. The result will be one more Fed rate cut this month, followed by an extended on-hold period. Investors should keep portfolio duration low in that environment. Junk Quality Spreads: This year’s divergence between the Caa/Ba quality spread and the high-yield index spread is highly unusual, but has more to do with movements in Treasury yields and changing index duration than with broader concerns about corporate credit quality. Investment Grade Risk & Reward: We present a novel approach for assessing the risk/reward trade-off among investment grade corporate bond sectors. We note that Saudi Arabian and Mexican Sovereign bonds, Foreign Agency bonds and Conventional 30-year Agency MBS look particularly attractive in risk-adjusted terms. Feature Contagion? This publication has repeatedly pointed to the late-1990s and the 2015/16 periods as appropriate comparables for today’s global growth slowdown. That is, we expect that the current spate of weakness will stay confined within the manufacturing sector and will not spread into the broader economy, leading the U.S. into recession. This call is important from an investment perspective because it implies that the Fed is not currently engaged in an easing cycle that will bring the funds rate back to zero. Rather, we anticipate only three rate cuts this year (we’ve already seen two), followed by the eventual resumption of hikes. Bond yields will not make new lows in that environment. Chart 1Manufacturing Weakness Spreading? Chart 2"Hard" Data Still Firm But some data received this month challenge our economic narrative. Specifically, September’s drop in the ISM Non-Manufacturing PMI from 56.4 to 52.6 and the year-over-year decline in the Conference Board’s survey of consumer confidence (Chart 1). Both are sending tentative signals that economic weakness might be spreading from the manufacturing sector into the broader U.S. economy. The Fed is worried about the same thing, as evidenced by this passage from the September FOMC minutes: One risk that the economy faced was that the softness recorded of late in firms’ capital formation, manufacturing, and exporting activities might spread to their hiring decisions, with adverse implications for household income and spending. Participants observed that such an eventuality was not embedded in their baseline outlook; however, a couple of them indicated that this was partly because they assumed that an appropriate adjustment to the policy rate path would help forestall that eventuality. This passage makes two important points. First, it stresses the risk of contagion from manufacturing into services and consumer spending as a precondition for recession. This risk has clearly increased, but we are not yet ready to abandon our base case outlook. For one thing, Chart 1 shows that the ISM Non-Manufacturing survey printed at 51.8 for one month in 2016, before rebounding sharply. Second, the “hard” economic data paint a much rosier picture that the “soft” survey data (Chart 2). Industrial production has already bounced off its lows and, unlike the ISM Manufacturing PMI, has not yet approached 2015/16 levels. Similarly, new orders for capital goods are much stronger than during the 2015/16 period. As for consumer spending, it continues to grow at a rapid pace despite the drop in confidence. Chart 3Expect One Rate Cut In October The most logical explanation for the divergence between “hard” and “soft” data is that business and consumer sentiment are being pulled down by concerns about the ongoing trade war. Our sense is that some positive news on that front is now required to bring the survey data back into line with the “hard” numbers. On that note, we anticipate that the looming 2020 election will provide enough incentive for President Trump to reach some sort of détente with China. In fact, as we go to press, optimism about a potential trade deal has pushed the 10-year Treasury yield up above 1.70%. If this optimism is not vindicated, then weak survey data will eventually drag the “hard” data lower. The economy is at a critical and highly uncertain juncture. Amidst so much uncertainty, and with so much hinging on near-term political decisions, how should we expect the Fed to respond? The above passage from the September FOMC minutes gives us a strong clue. It illustrates that the Fed believes that sufficiently accommodative monetary policy will help mitigate the risk of contagion from manufacturing into services and consumer spending. In other words, the Fed must help weather the current storm by ensuring that financial conditions remain supportive. This means refraining from delivering hawkish surprises to market expectations.1 The Fed believes that sufficiently accommodative monetary policy will help mitigate the risk of contagion from manufacturing into services and consumer spending. With that in mind, we note that the market has mostly priced-in an October rate cut (Chart 3), and we expect the Fed to deliver on that expectation. Assuming an October cut, the market is only pricing-in a 28% chance of another cut in December. Overall, the market is priced for 59 basis points of rate cuts during the next 12 months. We anticipate a 25 bps cut this month, followed by an improvement in the economic data that will make further cuts unnecessary. Bottom Line: Our late-1990s & 2015/16 roadmap for the economy still holds, but risks are mounting. Despite the risks, we expect that trade tensions will calm enough for the economic data to improve during the next few months. The result will be one more Fed rate cut this month, followed by an extended on-hold period. Investors should keep portfolio duration low in that environment. High-Yield Quality Spreads: Less Than Meets The Eye Corporate bonds have generally performed quite well this year, but oddly, the lowest tier of junk has not kept pace (Chart 4). Investment grade excess returns have followed a typical risk-on pattern. That is, the lowest rated / riskiest credit tiers have performed best in a bull market. However, in the high-yield space, Caa-rated debt has bucked the trend and actually underperformed the duration-matched Treasury index by 33 bps. Chart 4Caa-Rated Junk Is Not Keeping Pace Is this a potentially worrying sign for corporate spreads more generally? To consider the question, we looked at the historical relationships between quality spreads – the spread differential between low-rated and high-rated credit tiers – and the overall index spreads for both investment grade and high-yield. We found a strong positive correlation in both cases, but no leading or lagging properties. That is, quality spreads tend to follow the same trend as the overall index spread, but do not flag signs of trouble before the overall index. Nonetheless, the current divergence between the Caa/Ba quality spread and the high-yield index spread is highly unusual (Chart 5). Our sense, however, is that the divergence has less to do with concerns about credit quality and more to do with this year’s large moves in Treasury yields and changes to bond index duration. Chart 5De-Coupling In Quality Spreads... Chart 6...Is Due To Duration   Specifically, we note that this year’s large decline in Treasury yields has caused junk index duration to plunge, but the drop has been greater for the Ba credit tier than the Caa credit tier (Chart 6). Ba index duration has fallen by 0.8 this year (from 4.4 to 3.5), while Caa index duration has fallen by 0.6 (3.4 to 2.8). The result is that if we control for changes in duration by looking at a 12-month breakeven spread instead of the average index option-adjusted spread (OAS), we see that the quality spread widening is roughly consistent with the overall index (Chart 6, panel 3).2 In other words, the steep drop in Treasury yields has not led to the same reduction in risk in the Caa credit tier as it has in the other junk credit tiers. Caa spreads have widened on a relative basis, as a result. This year’s large decline in Treasury yields has caused junk index duration to plunge. It’s also interesting to note that the opposite dynamic is afoot within the investment grade corporate space. The Baa/Aa quality spread is more or less consistent with the overall index spread in OAS terms (Chart 5, top panel), but the quality spread widening is exacerbated when the impact of changing duration is considered (Chart 6, panels 1 & 2). That is, index duration has lengthened by more for the upper credit tiers than it has for the Baa credit tier. This makes Baa corporates look particularly attractive in risk-adjusted terms, as we have noted in prior research.3 From a big picture perspective, it is unusual for Treasury yields to fall so much without a concurrent widening in credit risk premiums. Eventually, this anomaly will be resolved by either: Higher Treasury yields in the event that recession is avoided, or Wider credit spreads in the event of a contraction in U.S. economic activity But in the meantime, negatively convex sectors such as high-yield corporates and Agency MBS look particularly attractive on a risk-adjusted basis. These sectors have benefited from the drop in Treasury yields by seeing their durations fall. They should perform well as long as the current environment of low Treasury yields and stable credit spreads persists. We take a more detailed look at the prospects for risk-adjusted performance within the different investment grade bond sectors in the next section. Risk And Reward In Investment Grade Bond Sectors As mentioned above, in this week’s report we present a novel approach for considering the risk/reward trade-off between different investment grade sectors of the U.S. bond market. We consider 23 sectors in total: 4 corporate credit tiers Conventional 30-year Agency MBS and Agency CMBS Aaa-rated non-Agency CMBS, credit card ABS and auto loan ABS Domestic and Foreign Agency bonds Supranationals Local Authority bonds (mostly taxable munis and USD-denominated Canadian provincial debt) USD-denominated Sovereign bonds for 10 different emerging markets Reward First, we consider the reward side of the equation. We do not impose any macro view, but instead, use the average index OAS as the best estimate for each sector’s 12-month expected excess returns relative to a duration-matched position in Treasuries. Chart 7 shows the expected excess returns for each sector. Right away, the attractiveness of Mexican sovereign debt is apparent. Mexico carries an A rating, but offers a greater spread than the Baa corporate index. Chart 7Expected Returns Risk We decided to assess risk using a breakeven spread framework. We calculate a 12-month breakeven spread for each sector. This spread represents the basis point spread widening required for each sector to break even with a duration-matched position in Treasury securities on a 12-month horizon. We calculate the breakeven spread using the following equation: 0 = OAS – D(B) + 0.5*CVXs*(dYs)2 - 0.5*CVXT*(dYT)2 Where: OAS = the sector’s option-adjusted spread D = the sector’s duration B = the breakeven spread CVXs = the sector’s convexity CVXT = the convexity of a duration-matched Treasury security dYs = trailing 1-year volatility of the sector’s yield dYT = trailing 1-year volatility of the duration-matched Treasury yield Chart 8 shows each sector’s 12-month breakeven spread, and it illustrates that the breakeven spread is a sub-optimal measure of risk. In theory, the highest breakeven spreads should be the least likely to see losses, but this is obviously not the case. Baa-rated South African Sovereign debt carries the largest breakeven spread, but it should be among the riskiest of the sectors. Chart 812-Month Breakeven Spreads The missing piece of the puzzle is spread volatility. South African sovereign spreads need to widen by 39 bps before losses are incurred, while Aaa-rated credit card ABS spreads only need to widen by 13 bps. However, if spread volatility is much higher for South African sovereigns than for credit card ABS, then the sovereign sector still might be more likely to see losses. To control for this difference we calculate the standard deviation of annual spread changes for each sector, starting from May 2014 when all sectors have available data. We then divide each sector’s breakeven spread by the result. This calculation gives us a volatility-adjusted 12-month breakeven spread. In other words, it is the number of standard deviations of spread widening required for each sector to see losses on a 12-month horizon (Chart 9). Chart 912-Month Volatility-Adjusted Breakeven Spreads Risk & Reward We bring risk and reward together in Charts 10-12. Chart 10 shows expected returns on the y-axis and the vol-adjusted 12-month breakeven spread on the x-axis. Sectors plotting near the top-right of the chart give the best returns and lowest risk of losses, while sectors plotting near the bottom-left provide low expected returns and high risk of losses. Immediately, Saudi Arabian sovereigns and Foreign Agency debt stand out as offering high expected returns for their risk levels. Note that South African sovereigns plot off the charts, toward the top-left of Charts 10-12, as indicated by the arrows. Chart 10Expected Returns Vs. Risk Of Negative Excess Returns Chart 11Expected Returns Vs. Risk Of Losing 100 BPs Chart 12Expected Returns Vs. Risk Of Losing 200 BPs In Charts 11 and 12 we make one further refinement to our risk measure. In these charts, instead of calculating 12-month breakeven spreads, we calculate the spread change necessary for each sector to underperform Treasuries by 100 bps and 200 bps, respectively. Saudi Arabian sovereigns and Foreign Agency debt stand out as offering high expected returns for their risk levels. This adjustment arguably gives a more useful perspective on risk. For example, because spreads are quite narrow in the Supranational and Domestic Agency sectors, the risk of negative returns versus Treasuries is quite elevated. However, these sectors also carry high credit ratings and low spread volatility, making it exceedingly unlikely that they would deliver losses of 100 bps or more. Considering Charts 11 and 12, we look for sectors that clearly dominate other ones, i.e. plotting both higher and further to the right. Once again, Foreign Agencies and Saudi Arabian sovereigns both look very appealing. Mexican sovereign debt also offers very high expected return, and less risk that the Baa corporate sector. We would also like to point out the attractiveness of Agency MBS. As we noted in a recent report, Agency MBS offer considerably less risk than high-rated corporate debt, and similar expected returns. Note that this analysis doesn’t impose any macroeconomic view, and our sense is that the macro back-drop is more favorable for MBS spreads than for corporates.4 All in all, we reiterate our recommendation to favor Agency MBS over Aaa-, Aa- and A-rated corporate bonds. We will continue to refine this approach to measuring the risk/reward trade-off in the coming weeks, including incorporating high-yield debt into our analysis. Stay tuned. Ryan Swift, U.S. Bond Strategist rswift@bcaresearch.com Footnotes 1 For further discussion on this topic please see U.S. Bond Strategy Weekly Report, “Act As Appropriate”, dated August 27, 2019, available at usbs.bcaresearch.com 2 The 12-month breakeven spread is the spread widening required on a 12-month horizon to break even with a duration-matched position in Treasury securities. It can be approximated by dividing the option-adjusted spread by duration, as is done in Chart 6. 3 Please see U.S. Bond Strategy Weekly Report, “Two Themes And Two Trades”, dated October 1, 2019, available at usbs.bcaresearch.com 4 Please see U.S. Bond Strategy Weekly Report, “Two Themes And Two Trades”, dated October 1, 2019, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification
High-Yield outperformed the duration-equivalent Treasury index by 66 basis points in September, before giving back 117 bps in the first week of October. The junk index’s option-adjusted spread (OAS) has been fairly stable for most of the year, but the sector

Highlights Q3/2019 Performance Breakdown: Our recommended model bond portfolio underperformed the custom benchmark by -30bps during the third quarter of the year. Winners & Losers: The biggest underperformance came from underweight positions in U.S. Treasuries (-28bps) and Italian government bonds (-18bps) as yields plunged, dwarfing gains from overweights in corporate bonds in the U.S. (+11bps) and euro area (+4bps). Scenario Analysis For The Next Six Months: We are maintaining our current positioning, staying below-benchmark on duration while overweighting U.S. and euro area corporates vs. government debt. In our base case scenario, global growth will begin to stabilize but the Fed will deliver one more “insurance” rate cut by year-end, leading to corporate bond outperformance. Feature Global bond markets have enjoyed a powerful bull run throughout 2019, as yields have plummeted alongside weakening global growth and growing political uncertainty. Those two forces came to a head in the third quarter of the year, with U.S.-China trade tensions ratcheting up another notch after the imposition of higher U.S. tariffs in early August and global manufacturing PMI data moving into contraction territory – especially in the U.S. The result was a significant fall in government bond yields as markets discounted both lower inflation expectations and more aggressive monetary easing from global central banks, led by the Fed and ECB. The benchmark 10-year U.S. Treasury yield and 10-year German Bund yield plunged -40bps and -25bps, respectively, during the July-September period. Yet at the same time, global credit markets remained surprisingly stable, as the option-adjusted spread on the Bloomberg Barclays Global Corporates index was unchanged over the same three months. In this report, we review the performance of the BCA Global Fixed Income Strategy (GFIS) model bond portfolio during the eventful third quarter of 2019. We also present our updated scenario analysis, and total return projections, for the portfolio over the next six months. As a reminder to existing readers (and to new clients), the model portfolio is a part of our service that complements the usual macro analysis of global fixed income markets. The portfolio is how we communicate our opinion on the relative attractiveness between government bond and spread product sectors. This is done by applying actual percentage weightings to each of our recommendations within a fully invested hypothetical bond portfolio. Q3/2019 Model Portfolio Performance Breakdown: Good News On Credit Trumped By Bad News On Duration Chart of the WeekDuration Losses Dwarf Credit Gains In Q3/19 The total return for the GFIS model portfolio (hedged into U.S. dollars) in the third quarter was 2.0%, lagging the custom benchmark index by -30 bps (Chart of the Week).1 This brings the cumulative year-to-date total return of the portfolio to +7.8%, which has underperformed the benchmark by a disappointing –67bps. The Q3 drag on relative returns came entirely from the government bond side of the portfolio; specifically, the underweight allocation to U.S. Treasuries and Italian government bonds (Table 1). Those allocations reflected our views on overall portfolio duration (below benchmark) and a relative value consideration within European spread product (preferring corporates to Italy). Both those recommendations went against us as global bond yields dropped during Q3, with Italian yields collapsing (the benchmark 10-year yield was down –126bps) as investors chased any positive yield denominated in euros after the ECB signaled a new round of policy easing. The total return for the GFIS model portfolio (hedged into U.S. dollars) in the third quarter was 2.0%, lagging the custom benchmark index by -30 bps  Table 1GFIS Model Bond Portfolio Q3/2019 Overall Return Attribution Providing some partial offset to the U.S. and Italy allocations were gains from overweight positions in government bonds in the U.K., Australia and Japan. More importantly, our overweights in corporate debt in the U.S. and euro area made a strong positive contribution to the performance of the portfolio. The bar charts showing the total and relative returns for each individual government bond market and spread product sector are presented in Charts 2 and 3. The most significant movers were: Chart 2GFIS Model Bond Portfolio Q3/2019 Government Bond Performance Attribution Chart 3GFIS Model Bond Portfolio Q3/2019 Spread Product Performance Attribution By Sector Biggest outperformers Overweight U.S. high-yield Ba-rated (+4bps) Overweight U.S. high-yield B-rated (+3bps) Overweight U.S. investment grade industrials (+3bps) Overweight Japanese government bonds with maturity of 5-7 years (+2bps) Overweight euro area corporates, both investment grade (+2bps) and high-yield (+2bps) Biggest underperformers Underweight U.S. government bonds with maturity beyond 10+ years (-15bps) Underweight Italy government bonds with maturity beyond 10+ years (-10bps) Underweight U.S. government bonds with maturity of 7-10 years (-5bps) Underweight Japanese government bonds with maturity beyond 10+ years (-4bps) Underweight U.S. government bonds with maturity of 3-5 years (-4bps) Chart 4 presents the ranked benchmark index returns of the individual countries and spread product sectors in the GFIS model bond portfolio for Q3/2019. The returns are hedged into U.S. dollars (we do not take active currency risk in this portfolio) and are adjusted to reflect duration differences between each country/sector and the overall custom benchmark index for the model portfolio. We have also color-coded the bars in each chart to reflect our recommended investment stance for each market during Q3/2019 (red for underweight, blue for overweight, gray for neutral).2 Ideally, we would look to see more blue bars on the left side of the chart where market returns are highest, and more red bars on the right side of the chart were returns are lowest. Chart 4Ranking The Winners & Losers From The Model Bond Portfolio In Q3/2019 One thing that stands out from Chart 4 is that every fixed income sector generated a positive return, except for EM USD-denominated corporates. This is a fascinating outcome given the sharp falls in risk-free government bond yields which typically would correlate to a selloff in risk assets and widening of credit spreads. The soothing balm of looser global monetary policy seems to have offset the impact of elevated uncertainty on trade and future economic growth, allowing both bond yields and credit spreads to stay low. The soothing balm of looser global monetary policy seems to have offset the impact of elevated uncertainty on trade and future economic growth, allowing both bond yields and credit spreads to stay low.  We maintained an overweight stance on global spread product throughout Q3, as we felt that the monetary policy effect would continue to overwhelm uncertainty. We did, however, make some tactical adjustments to our duration stance after the U.S. raised tariffs on Chinese imports, upgrading to neutral on August 6th.3 We had felt that higher tariffs were a sign that a potential end to the U.S.-China trade conflict was now even less likely, which raised the odds of a potential risk-off financial market event that would temporarily push bond yields lower. We shifted back to a below-benchmark duration stance on September 17th, given signs of de-escalation in the trade dispute and, more importantly, some improvement evident in global leading economic indicators.4 Bottom Line: Our recommended model bond portfolio underperformed the custom benchmark index during the third quarter of the year, with the drag on performance from an underweight stance on U.S. Treasuries and Italian BTPs overwhelming the gains from corporate credit overweights in the U.S. and euro area. Future Drivers Of Portfolio Returns Looking ahead, the performance of the model bond portfolio will continue to be driven by two main factors: our below-benchmark duration bias and our overweight stance on global corporate debt versus government bonds. Chart 5Overall Portfolio Allocation: Overweight Credit In terms of the specific high-level weightings in the model portfolio, we currently have a moderate overweight, equal to eight percentage points, on spread product versus government debt (Chart 5). This reflects a more constructive view on future global growth. Early leading economic indicators are starting to bottom out and global central bankers are maintaining a dovish policy bias despite low unemployment rates – both factors that will continue to benefit growth-sensitive assets like corporate debt. Early leading economic indicators are starting to bottom out and global central bankers are maintaining a dovish policy bias despite low unemployment rates – both factors that will continue to benefit growth-sensitive assets like corporate debt. We are maintaining our below-benchmark duration tilt at 0.6 years short of the custom benchmark (Chart 6). We recognize, however, that the underperformance from duration in the model portfolio will not begin to be clawed back until there are signs of a bottoming in widely-followed cyclical economic indicators like the U.S. ISM index and the German ZEW. We think that will happen given the uptick in our global leading economic indicator (LEI), but that may take a few more months to develop based on the usual lead time from the LEI to the survey data like the ISM. The hook up in the global LEI does still gives us more confidence that the big decline in global bond yields seen this year is over, especially if a potential truce in the U.S.-China trade war is soon reached, as our political strategists believe to be increasingly likely. Chart 6Overall Portfolio Duration: Moderately Below Benchmark Turning to country allocation, we are sticking with overweights in countries where central banks are likely to be more dovish than the Fed over the next 6-12 months (Germany, France, the U.K., Japan, and Australia). We are staying underweight the U.S. where inflation expectations appear too low and Fed rate cut expectations look too extreme. The Italy underweight has become a trickier call. We have long viewed Italian debt as a growth-sensitive credit instrument rather than the yield-driven rates vehicle it became in Q3 as markets priced in fresh monetary easing measures from the ECB (including restarting government purchases). We will revisit our Italy views in an upcoming report but, until then, we will continue to view Italian BTPs within the context of our European spread product allocation. Thus, we are maintaining an overweight on euro area corporate debt (by 1% each in investment grade and high-yield) while having an equal-sized underweight (-2%) in Italian government bonds. Our combined positioning generates a portfolio that has “positive carry”, with a yield of 3.1% (hedged into U.S. dollars) that is +25bps over that of the custom benchmark index (Chart 7). That same portfolio, however, generates an estimated tracking error (excess volatility of the portfolio versus its benchmark) of 55bps - well below our self-imposed 100bps ceiling and still within the 40-60bps range we have targeted since the start of 2019 (Chart 8). Chart 7Portfolio Yield: Positive Carry From Credit Chart 8Portfolio Risk Budget Usage: Cautious Scenario Analysis & Return Forecasts In April 2018, we introduced a framework for estimating total returns for all government bond markets and spread product sectors, based on common risk factors.5 For credit, returns are estimated as a function of changes in the U.S. dollar, the Fed funds rate, oil prices and market volatility as proxied by the VIX index (Table 2A). For government bonds, non-U.S. yield changes are estimated using historical betas to changes in U.S. Treasury yields (Table 2B). Table 2AFactor Regressions Used To Estimate Spread Product Yield Changes Table 2BEstimated Government Bond Yield Betas To U.S. Treasuries This framework allows us to conduct scenario analysis of projected returns for each asset class in the model bond portfolio by making assumptions on those individual risk factors. In Tables 3A & 3B, we present our three main scenarios for the next six months, defined by changes in the risk factors, and the expected performance of the model bond portfolio in each case. The scenarios, described below, all revolve around our expectation that the most important drivers of future market returns will continue to be the momentum of global growth and the path of U.S. monetary policy. The scenario inputs for the four main risk factors (the fed funds rate, the price of oil, the U.S. dollar and the VIX index) are shown visually in Chart 9. Table 3AScenario Analysis For The GFIS Model Bond Portfolio For The Next Six Months Table 3BU.S. Treasury Yield Assumptions For The 6-Month Forward Scenario Analysis Chart 9Risk Factor Assumptions For The Scenario Analysis Base Case (Global Growth Bottoms): The Fed delivers one more -25bp rate cut by the end of 2019, the U.S. dollar weakens by -3%, oil prices rise by +10%, the VIX hovers around 15, and there is a bear-steepening of the UST curve. This is a scenario where the U.S. economy ends up avoiding recession and grows at roughly a trend-like pace. The Fed, however, still delivers one more “insurance” rate cut to mitigate the risk of low inflation expectations becoming more entrenched. Global growth is expected to bottom out as heralded by the global leading indicators. A truce (but not a full deal) is expected on the U.S.-China trade front, helping to moderately soften the U.S. dollar through reduced risk aversion. The model bond portfolio is expected to beat the benchmark index by +91bps in this case. Global Growth Strongly Rebounds: The Fed stays on hold, the U.S. dollar weakens by -5%, oil prices rise by +20%, the VIX declines to 12, there is a modest bear-steepening of the UST curve. In this tail-risk scenario, global growth starts to reaccelerate in lagged response to the global monetary easing seen this year, combined with some fiscal stimulus in major countries (China, the U.S., perhaps even Germany). The U.S. dollar weakens as global capital flows shift to markets which are more sensitive to global growth. The model bond portfolio is expected to beat the benchmark index by +106bps in this case. U.S. Downturn Intensifies: The Fed cuts rates by -75bps, the U.S. dollar is flat, oil prices fall by -15%, the VIX rises to 30; there is a bull-steepening of the UST curve. Under this tail-risk scenario, the current slowing of U.S. growth momentum gains speed, pushing the economy towards recession. The Fed cuts rates aggressively in response, helping weaken the U.S. dollar, but not before global risk assets sell off sharply to discount a worldwide recession. The model portfolio will underperform the benchmark by -38bps in this scenario. In terms of our conviction level among the main drivers of the model portfolio returns – duration allocation (across yield curves and countries) and asset allocation (credit versus government bonds) – we are most confident that credit returns will exceed those of sovereign debt over the next six months. In terms of our conviction level among the main drivers of the model portfolio returns – duration allocation (across yield curves and countries) and asset allocation (credit versus government bonds) – we are most confident that credit returns will exceed those of sovereign debt over the next six months. The underweight duration position, however, will also eventually begin to pay off if the message from the budding improvement in global leading economic indicators turns out to be correct. A collapse of the U.S.-China trade negotiations is the biggest threat to our base case, which would make the “U.S. Downturn Intensifies” scenario a more likely outcome. Bottom Line: We are maintaining our current positioning, staying below-benchmark on duration while overweighting U.S. and euro area corporates governments. In our base case scenario, global growth will begin to stabilize but the Fed will deliver one more “insurance” rate cut by year-end, leading to spread product outperformance.   Robert Robis, CFA, Chief Fixed Income Strategist rrobis@bcaresearch.com Ray Park, CFA, Research Analyst ray@bcaresearch.com Footnotes 1 The GFIS model bond portfolio custom benchmark index is the Bloomberg Barclays Global Aggregate Index, but with allocations to global high-yield corporate debt replacing very high quality spread product (i.e. AA-rated). We believe this to be more indicative of the typical internal benchmark used by global multi-sector fixed income managers. 2 Note that sectors where we made changes to our recommended weightings during Q3/2019 will have multiple colors in the respective bars in Chart 4. 3 Please see BCA Global Fixed Income Strategy Weekly Report, “Trade War Worries: Once More, With Feeling”, dated August 6, 2019, available at gfis.bcaresearch.com. 4 Please see BCA Global Fixed Income Strategy Weekly Report, “The World Is Not Ending: Return To Below-Benchmark Portfolio Duration”, dated September 17, 2019, available at gfis.bcaresearch.com. 5 Please see BCA Global Fixed Income Strategy Weekly Report, “GFIS Model Bond Portfolio Q1/2018 Performance Review: A Rough Start”, dated April 10th 2018, available at gfis.bcareseach.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
Highlights Chart 1Contagion? Until last week, global growth weakness had been wholly confined to the manufacturing sector. But the drop to 52.6 in September’s Non-Manufacturing PMI (from 56.4 in August) raises the specter of contagion from manufacturing into the broader U.S. economy. A further drop would be consistent with an economy headed toward recession, and run contrary to the 2015/16 roadmap that has been our base case (Chart 1). We think it is still premature to abandon the 2015/16 episode as an appropriate comparable for the current period. For one thing, the hard economic data paint a rosier picture than the PMI surveys. Industrial production and core durable goods new orders are up 2.5% and 2.3% (annualized), respectively, during the past 3 months. These data have helped drive the economic surprise index above zero, an event that usually coincides with rising yields (bottom panel). The divergence between soft and hard data makes it clear that trade uncertainties are so far having a greater impact on business sentiment than on actual production, but history tells us that these divergences don’t last long. Some positive news on the trade front will be required during the next few months to raise business sentiment and push bond yields higher. Stay tuned. Feature Investment Grade: Overweight Chart 2Investment Grade Market Overview Investment grade corporate bonds outperformed the duration-equivalent Treasury index by 42 basis points in September, before giving back 37 bps in the first week of October. We consider three main factors in our credit cycle analysis: (i) corporate balance sheet health, (ii) monetary conditions, and (iii) valuation. At present, the chief conundrum for investors is that while corporate balance sheet health is weak, the monetary environment is extraordinarily accommodative.1 On balance sheets, our top-down measure of gross leverage is elevated and rising (Chart 2). In contrast, interest coverage ratios remain solid, propped up by the Fed’s accommodative stance. With inflation expectations still very low, the Fed can maintain its “easy money” policy for some time yet. This will ensure that interest coverage stays solid and that bank lending standards continue to ease (bottom panel). This is an environment where corporate bond spreads should tighten. How low can spreads go? Our assessment of reasonable spread targets for the current environment suggests that Aaa, Aa and A-rated spreads are already fully valued, while Baa-rated spreads are 13 bps cheap (panels 2 & 3).2 We recommend focusing investment grade corporate bond exposure on the Baa credit tier, and subbing some Agency MBS into your portfolio in place of corporate bonds rated A or higher. Table 3ACorporate Sector Relative Valuation And Recommended Allocation* Table 3BCorporate Sector Risk Vs. Reward* High-Yield: Overweight Chart 3High-Yield Market Overview High-Yield outperformed the duration-equivalent Treasury index by 66 basis points in September, before giving back 117 bps in the first week of October. The junk index’s option-adjusted spread (OAS) has been fairly stable for most of the year, but the sector has become increasingly attractive from a risk/reward perspective.3 This is because the index’s negatively convex nature has caused its average duration to fall alongside declining Treasury yields. Chart 3 shows that while the index OAS has been rangebound, the 12-month breakeven spread has widened considerably.4 In other words, while junk expected returns have been stable, those expected returns now come with considerably less risk. As a result, the junk index OAS looks increasingly attractive relative to our spread target.5 Specifically, we now view the junk index OAS as 171 bps cheap (panel 3). Falling index duration also explains the divergence between quality spreads and the index OAS. Many have observed that the spread differential between Caa and Ba-rated junk bonds has widened in recent months, while the overall index OAS has been stable (panel 4). However, the divergence evaporates when we look at 12-month breakeven spreads instead of OAS (bottom panel). MBS: Neutral Chart 4MBS Market Overview Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 24 basis points in September, before giving back 25 bps in the first week of October. MBS have underperformed Treasuries by 31 bps, year-to-date. The conventional 30-year zero volatility spread held flat at 82 bps in September, as a 3 bps increase in expected prepayment losses (option cost) was offset by a 3 bps tightening in the option-adjusted spread (OAS). In last week’s report, we recommended favoring Agency MBS over Aaa, Aa and A-rated corporate bonds.6 We have three main reasons for this recommendation. First, expected compensation is competitive. The conventional 30-year MBS OAS is now 57 bps. This is above the pre-crisis average (Chart 4), and only 4 bps below the spread offered by a Aa-rated corporate bond. Aaa, Aa and A-rated corporate bond spreads also all look expensive relative to our targets. Second, risk-adjusted compensation heavily favors MBS. The 12-month breakeven spread for a conventional 30-year MBS is 21 bps. This compares to 6 bps, 8 bps and 12 bps for Aaa, Aa and A-rated corporates, respectively. Finally, the macro environment for MBS remains supportive. Mortgage lending standards have barely eased since the financial crisis (bottom panel), and most people have already had at least one opportunity to refinance their mortgage. This burnout will keep refi activity low, and MBS spreads tight (panel 2), going forward. Government-Related: Underweight Chart 5Government-Related Market Overview The Government-Related index outperformed the duration-equivalent Treasury index by 10 basis points in September, bringing year-to-date excess returns up to +163 bps. September returns were concentrated in the Foreign Agency sub-sector. These securities outperformed the Treasury benchmark by 55 bps on the month, bringing year-to-date excess returns up to +197 bps. Sovereign bonds underperformed duration-equivalent Treasuries by 6 bps in September, dragging year-to-date excess returns down to +436 bps. Local Authority and Domestic Agency debt underperformed by 1 bp and 2 bps on the month, respectively. Meanwhile, Supranationals bested the Treasury benchmark by a single basis point. Sovereign debt remains very expensive relative to equivalently-rated U.S. corporate credit (Chart 5). While the sector would benefit if the Fed’s dovish pivot eventually results in a weaker dollar, U.S. corporate bonds would also perform well in such an environment. Given the much more attractive starting point for U.S. corporate bond spreads, we find it difficult to recommend sovereign debt as an alternative. While sovereign debt in general looks expensive. USD-denominated Mexican sovereign bonds continue to look attractive relative to U.S. corporates (bottom panel). Investors should favor Mexican sovereigns within an otherwise underweight allocation to the sector as a whole. Municipal Bonds: Overweight Chart 6Municipal Market Overview Municipal bonds underperformed the duration-equivalent Treasury index by 10 basis points in September, dragging year-to-date excess returns down to -57 bps (before adjusting for the tax advantage). We recommended upgrading municipal bonds from neutral to overweight in last week’s report.7  We based the decision on the increasing attractiveness of yield ratios, despite an underlying credit environment that remains supportive for munis. Municipal bond yields failed to keep pace with falling Treasury yields in recent months, and now look quite attractive as a result (Chart 6). The average Aaa-rated Municipal / Treasury (M/T) yield ratio rose 4% in September and is now back above 90%. This is well above the 81% average that prevailed in the late stages of the previous cycle, between mid-2006 and mid-2007. In fact, Aaa M/T yield ratios for every maturity are now above average pre-crisis levels. Though yield ratios still look best at the long-end of the Aaa curve (panel 2), we now recommend owning munis in place of Treasuries across the entire maturity spectrum. Fundamentally, state & local government balance sheets remain solid. We showed in last week’s report that our Municipal Health Monitor is in “improving health” territory, and noted that state & local government interest coverage is positive (bottom panel). Both of those trends are consistent with muni ratings upgrades continuing to outnumber downgrades going forward. Treasury Curve: Maintain A Barbell Curve Positioning Chart 7Treasury Yield Curve Overview The Treasury curve bear-steepened in September, and then bull-steepened sharply last week. All in all, the 2/10 Treasury slope is +12 bps, 12 bps steeper than it was at the end of August. The 5/30 slope is +67 bps, 10 bps steeper than at the end of August. Our fair value models (see Appendix B) continue to show that bullets are expensive relative to barbells across the entire Treasury curve. In particular, 5-year and 7-year maturities look very expensive compared to the short and long ends of the curve. Notice that the 2/5/10 butterfly spread, the spread between the 5-year bullet and a duration-matched 2/10 barbell, remains negative despite the recent 2/10 steepening (Chart 7). We have shown in prior research that the 5-year and 7-year maturities are the most highly correlated with our 12-month Fed Funds Discounter. Our discounter is currently at -74 bps, meaning that the market is priced for nearly three more Fed rate cuts during the next 12 months (top panel). We expect fewer cuts than that, and as such, think the Discounter is more likely to rise. 5-year and 7-year maturities would underperform the rest of the curve in that scenario. We also continue to hold our short position in the February 2020 fed funds futures contract. That contract is currently priced for 2 more rate cuts during the next 3 FOMC meetings. That outcome is possible, but our base case economic outlook is more consistent with 1 further cut, likely occurring this month. TIPS: Overweight Chart 8Inflation Compensation TIPS underperformed the duration-equivalent nominal Treasury index by 38 basis points in September, dragging year-to-date excess returns down to -142 bps. The 10-year TIPS breakeven inflation rate fell 3 bps in September, and then another 2 bps last week. It currently sits at 1.51%, well below levels consistent with the Fed’s target. The divergence between the actual inflation data and inflation expectations is becoming increasingly stark. Trimmed mean PCE inflation has been fluctuating around the Fed’s target for most of the year (Chart 8). However, long-maturity TIPS breakeven inflation rates remain stubbornly low, nowhere near the 2.3% - 2.5% range that is consistent with the Fed’s target. As we have pointed out in prior research, it can take time for expectations to adapt to a changing macro environment.8 That being said, the 10-year TIPS breakeven inflation rate is currently 43 bps too low according to our Adaptive Expectations Model, a model whose primary input is 10-year trailing core inflation (panel 4). It is highly likely that the Fed will have to tolerate some overshoot of its 2% inflation target in order to re-anchor inflation expectations near desired levels. We anticipate that the committee will do so, and we maintain our view that long-dated TIPS breakevens will move above 2.3% before the end of the cycle. ABS: Underweight Chart 9ABS Market Overview Asset-Backed Securities underperformed the duration-equivalent Treasury index by 2 basis points in September, dragging year-to-date excess returns down to +72 bps. The index option-adjusted spread for Aaa-rated ABS widened 2 bps on the month. It currently sits at 36 bps, very close to its minimum pre-crisis level (Chart 9). ABS also appear unattractive on a risk/reward basis, as both Aaa-rated auto loans and credit cards have moved into the “Avoid” quadrant of our Excess Return Bond Map (Appendix C). The Map uses each bond sector’s spread, duration and volatility to calculate the likelihood of earning or losing 100 bps of excess return versus Treasuries on a 12-month horizon. At present, the Map shows that ABS offer poor expected return for their level of risk. In addition to poor valuation, the ABS sector’s credit fundamentals are shifting in a negative direction. Household interest payments continue to trend up, suggesting a higher delinquency rate in the future (panel 3). Meanwhile, senior loan officers continue to tighten lending standards for both credit cards and auto loans. Tighter lending standards usually coincide with rising delinquencies (bottom panel). All in all, the combination of poor value and deteriorating credit quality leads us to recommend an underweight allocation to consumer ABS. Non-Agency CMBS: Neutral Chart 10CMBS Market Overview Non-Agency Commercial Mortgage-Backed Securities outperformed the duration-equivalent Treasury index by 9 basis points in September, bringing year-to-date excess returns up to +227 bps. The index option-adjusted spread for non-agency Aaa-rated CMBS held flat on the month, before widening 4 bps last week. It currently sits at 75 bps, below average pre-crisis levels but above levels seen in 2018 (Chart 10). The macro outlook for commercial real estate is somewhat unfavorable, with lenders tightening loan standards (panel 4) amidst falling demand (bottom panel). Commercial real estate prices have accelerated of late, but are still not keeping pace with CMBS spreads (panel 3). Despite the poor fundamental picture, our Excess Return Bond Map shows that CMBS offer a reasonably attractive risk/reward trade-off compared to other bond sectors (see Appendix C). Agency CMBS: Overweight Agency CMBS outperformed the duration-equivalent Treasury index by 2 basis points in September, bringing year-to-date excess returns up to +90 bps. The index option-adjusted spread held flat on the month, before widening by 5 bps last week. It currently sits at 61 bps. The Excess Return Bond Map in Appendix C shows that Agency CMBS offer high potential return compared to other low-risk spread products. Appendix A - The Golden Rule Of Bond Investing We follow a two-step process to formulate recommendations for bond portfolio duration. First, we determine the change in the federal funds rate that is priced into the yield curve for the next 12 months. Second, we decide – based on our assessments of the economy and Fed policy – whether the change in the fed funds rate will exceed or fall short of what is priced into the curve. Most of the time, a correct answer to this question leads to the appropriate duration call. We call this framework the Golden Rule Of Bond Investing, and we demonstrated its effectiveness in the U.S. Bond Strategy Special Report, “The Golden Rule Of Bond Investing”, dated July 24, 2018, available at usbs.bcaresearch.com. Chart 11 illustrates the Golden Rule’s track record by showing that the Bloomberg Barclays Treasury Master Index tends to outperform cash when rate hikes fall short of 12-month expectations, and vice-versa. Chart 11The Golden Rule's Track Record At present, the market is priced for 74 basis points of cuts during the next 12 months. We anticipate fewer rate cuts over that time horizon, and therefore anticipate that below-benchmark portfolio duration positions will profit. We can also use our Golden Rule framework to make 12-month total return and excess return forecasts for the Bloomberg Barclays Treasury index under different scenarios for the fed funds rate. Excess returns are relative to the Bloomberg Barclays Cash index. To forecast total returns we first calculate the 12-month fed funds rate surprise in each scenario by comparing the assumed change in the fed funds rate to the current value of our 12-month discounter. This rate hike surprise is then mapped to an expected change in the Treasury index yield using a regression based on the historical relationship between those two variables. Finally, we apply the expected change in index yield to the current characteristics (yield, duration and convexity) of the Treasury index to estimate total returns on a 12-month horizon. The below tables present those results, along with 95% confidence intervals. Excess returns are calculated by subtracting assumed cash returns in each scenario from our total return projections. Appendix B - Butterfly Strategy Valuation The following tables present the current read-outs from our butterfly spread models. We use these models to identify opportunities to take duration-neutral positions across the Treasury curve. The following two Special Reports explain the models in more detail: U.S. Bond Strategy Special Report, “Bullets, Barbells And Butterflies”, dated July 25, 2017, available at usbs.bcaresearch.com U.S. Bond Strategy Special Report, “More Bullets, Barbells And Butterflies”, dated May 15, 2018, available at usbs.bcaresearch.com Table 4 shows the raw residuals from each model. A positive value indicates that the bullet is cheap relative to the duration-matched barbell. A negative value indicates that the barbell is cheap relative to the bullet. Table 5 scales the raw residuals in Table 4 by their historical means and standard deviations. This facilitates comparison between the different butterfly spreads. Table 6 flips the models on their heads. It shows the change in the slope between the two barbell maturities that must be realized during the next six months to make returns between the bullet and barbell equal. For example, a reading of +48 bps in the 5 over 2/10 cell means that we would only expect the 5-year to outperform the 2/10 if the 2/10 slope steepens by more than 48 bps during the next six months. Otherwise, we would expect the 2/10 barbell to outperform the 5-year bullet. Table 4Butterfly Strategy Valuation: Raw Residuals In Basis Points (As of October 4, 2019) Table 5Butterfly Strategy Valuation: Standardized Residuals (As of October 4, 2019) Table 6 Appendix C - Excess Return Bond Map The Excess Return Bond Map is used to assess the relative risk/reward trade-off between different sectors of the U.S. fixed income market. The Map employs volatility-adjusted breakeven spread analysis to show how likely it is that a given sector will earn/lose money during the subsequent 12 months. The Map does not incorporate any macroeconomic view. The horizontal axis of the Map shows the number of days of average spread widening required for each sector to lose 100 bps versus a position in duration-matched Treasuries. Sectors plotting further to the left require more days of average spread widening and are therefore less likely to see losses. The vertical axis shows the number of days of average spread tightening required for each sector to earn 100 bps in excess of duration-matched Treasuries. Sectors plotting further toward the top require fewer days of spread tightening and are therefore more likely to earn 100 bps of excess return. Chart 12Excess Return Bond Map (As Of October 4, 2019) Ryan Swift, U.S. Bond Strategist rswift@bcaresearch.com Footnotes 1 Please see U.S. Bond Strategy Weekly Report, “Corporate Bond Investors Should Not Fight The Fed”, dated September 17, 2019, available at usbs.bcaresearch.com 2 For more details on how we arrive at our spread targets please see U.S. Bond Strategy Weekly Report, “The Value In Corporate Bonds”, dated February 19, 2019, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Weekly Report, “Corporate Bond Investors Should Not Fight The Fed”, dated September 17, 2019, available at usbs.bcaresearch.com 4 The 12-month breakeven spread is the spread widening required to break even with a duration-matched position in Treasuries on a 12-month horizon. It can be approximated by OAS divided by duration. 5 For more details on how we arrive at our spread targets please see U.S. Bond Strategy Weekly Report, “The Value In Corporate Bonds”, dated February 19, 2019, available at usbs.bcaresearch.com 6 Please see U.S. Bond Strategy Weekly Report, “Two Themes And Two Trades”, dated October 1, 2019, available at usbs.bcaresearch.com 7 Please see U.S. Bond Strategy Weekly Report, “Two Themes And Two Trades”, dated October 1, 2019, available at usbs.bcaresearch.com 8 Please see U.S. Bond Strategy Weekly Report, “Adaptive Expectations In The TIPS Market”, dated November 20, 2018, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification Corporate Sector Relative Valuation And Recommended Allocation
ハむラむト 垂堎予枬 2019幎第4四半期のストラテゞヌ芋通し「芋せお」盞堎 2019幎第4四半期のストラテゞヌ芋通し「芋せお」盞堎 投資ストラテゞヌ: 垂堎は「実瞟を芋せおshow me」の段階に入っおいたす。株匏が持続的に䞊昇するためには、より良奜な経枈指暙ず貿易亀枉における実質的な進展が必芁です。圓瀟は䞡方の前提が実珟するず考えおいたす。それたでは、リスク資産が䞋抌し圧力にさらされる可胜性がありたす。 グロヌバル・アセット・アロケヌション: 投資家は12か月の芋通しでは株匏を債刞に察しおオヌバヌりェむトすべきですが、短期的には䞋方リスクに察するヘッゞずしお通垞より高めの珟金ポゞションを維持しおください。 株匏: グロヌスがボトムアりトした埌は、新興垂堎EMおよび欧州株がアりトパフォヌムするでしょう。金融を含む景気埪環性セクタヌは、成長サむクルが反転したずきにディフェンシブをアりトパフォヌムし始めたす。 債刞: 䞭倮銀行はハト掟姿勢を維持するでしょうが、䞖界的な成長の匷たりを背景にむヌルドはそれでも緩やかに䞊昇する芋蟌みです。囜債よりもハむむヌルドのコヌポレヌト・クレゞットを優先しおください。 通貚: 逆景気埪環的通貚である米ドルは今幎埌半にピヌクを迎えるず芋おいたす。 コモディティ: 原油および産業甚金属の䟡栌は䞊昇するでしょう。金䟡栌は足螏み状態に入っおいたすが、むンフレが぀いに顕圚化する来幎末たたは2021幎に再び泚目を集めるはずです。 特集 クラむアントの皆様ぞ、 本レポヌトに代えお、私は10月7日月曜日の東郚倏時間EDT午前10時にりェブキャストを開催し、幎末以降に想定される䞻芁な投資テヌマず芋解に぀いお説明したした。 敬具, ピヌタヌ・ベレゞン、チヌフ・グロヌバル・ストラテゞスト   I. グロヌバル・マクロの芋通し 䞖界経枈の詊緎期 䞖界経枈は重芁な岐路に差し掛かっおいたす。成長は2018幎初めから枛速しおおり、倚くの者が「倱速速床stall speed」ずみなす氎準に達しおいたす。これは経枈の匱さが自己匷化的に䜜甚し始め、景気埌退を匕き起こす可胜性があるポむントです。 成長の枛速はさらに悪化するのでしょうか。私たちの芋立おではそうはならないず考えたす。ここ4か月で䞖界の金融環境は倧幅に緩和しおおり、その䞀因は倚くの䞭倮銀行によるハト掟ぞの転換です。金融環境の緩和は通垞、䞖界成長にずっお奜材料です図衚1。圓瀟のグロヌバル先行指暙は䞊向きになっおおり、䞻に新興垂堎のデヌタのわずかな改善によるものです図衚2。 図衚1金融環境の緩和は䞖界成長を抌し䞊げる 金融環境の緩和は䞖界経枈の成長を抌し䞊げるだろう。 金融環境の緩和は䞖界経枈の成長を抌し䞊げるだろう。 図衚2グロヌバル先行指暙は底を抜けた グロヌバルLEIは安倀から反発した グロヌバルLEIは安倀から反発した     重芁な問いは、補造業の匱さがより倧きなサヌビス業セクタヌぞ波及するかどうかです。これは起き぀぀あるずいう蚌拠があり、昚日の予想を䞋回るISM非補造業指数の発衚が最新の䟋です。それでも、サヌビス業の掻動の枛速はこれたでのずころ限定的です図衚3。補造業比率の高いドむツでさえ、サヌビス業PMIは拡匵域にありたす。これは、補造業ずサヌビス業の掻動が足䞊みをそろえお厩萜した2001/02幎や2008/09幎ず倧きく異なる点です。 図衚3Aサヌビス業は補造業ほど軟化しおいないI サヌビス郚門の軟化は補造業ほど顕著ではないI サヌビス郚門の軟化は補造業ほど顕著ではないI 図衚3Bサヌビス業は補造業ほど軟化しおいないII サヌビス業は補造業ほど匱たっおいないII サヌビス業は補造業ほど匱たっおいないII ドラむブバむ的な枛速 倚くの投資家に補造業の枛速の理由を尋ねれば、貿易戊争や䞭囜のデレバレッゞ政策を挙げるでしょう。これらは確かに劥圓な理由ですが、あたり知られおいないもう䞀぀の犯人がありたす自動車です。 WardsAutoによれば、䞖界の自動車販売は幎倮の䞊半期に5超枛少し、グレヌト・リセッション以来最倧の萜ち蟌みずなりたした図衚4。生産はさらに倧きく萜ち蟌みたした。 図衚4自動車セクタヌの匱さが補造業の䞋萜を悪化させた 自動車セクタヌの匱さが補造業の䜎迷を䞀局悪化させた 自動車セクタヌの匱さが補造業の䜎迷を䞀局悪化させた 図衚5米囜の自動車需芁は回埩し぀぀ある 米囜の自動車需芁は回埩しおいる 米囜の自動車需芁は回埩しおいる   䞖界の自動車セクタヌの匱さは耇数の芁因を反映しおいたす。新たな厳栌な排出基準、皎制優遇の期限切れ、厳栌化された自動車ロヌンの貞出基準の遅行効果、貿易緊匵などが䞀因です。加えお、2015/16幎のガ゜リン䟡栌の䞋萜は䞀郚の自動車賌入を前倒しさせた可胜性がありたす。これにより、2015/16幎の䞖界的な補造業の萜ち蟌みが珟圚の萜ち蟌みの皮を蒔いた可胜性がありたす。 自動車の生産が販売よりも速く萜ちおいるずいう事実は、過剰圚庫が解消され぀぀あるこずを意味するため、歓迎すべき点です。 米囜の自動車ロヌン貞出基準は正垞化し始めおおり、最新のシニアロヌンオフィサヌ調査では銀行が自動車ロヌンの需芁増を報告しおいたす図衚5。 䞭囜では、自動車販売は今幎初めに最倧14の萜ち蟌みを瀺した埌に底を打ちたした図衚6。䞭囜の自動車保有率は米囜の5分の1、日本の4分の1、韓囜の3分の1皋床に過ぎたせん図衚7。出発点が䜎いため、䞭囜の自動車販売は䞭長期的な䞊昇トレンドを再開する可胜性が高いです。 図衚6䞭囜の自動車セクタヌは底を探しおいる 䞭囜の自動車セクタヌが底を打ち始めおいる 䞭囜の自動車セクタヌが底を打ち始めおいる 図衚7䞭囜自動車の構造的芋通しは明るい 䞭囜自動車の構造的芋通しは明るい 䞭囜自動車の構造的芋通しは明るい   貿易戊争デタントに向かっおいるのか 図衚8比范的芏則的な3幎呚期の補造業サむクル かなり芏則的な3幎呚期の補造業サむクル かなり芏則的な3幎呚期の補造業サむクル 補造業サむクルは䞀般に玄3幎続きたす──成長の枛速が18か月、その埌成長の䞊昇が18か月です図衚8。䞖界の補造業PMIが2018幎䞊半期にピヌクを぀けたずするなら、珟圚の䞋萜局面は終盀に差し掛かっおいるはずです。 もちろん、倚くは政策の進展次第です。執筆時点で米䞭のハむレベルの亀枉は再開しおいたす。 これらの協議の結果を予枬するこずは䞍可胜ですが、双方ずも察立激化を回避するむンセンティブを持っおいるように芋えたす。トランプ倧統領は経枈運営に関しおは有暩者から他の事柄よりもかなり高い評䟡を受けおおり、察䞭貿易亀枉の扱いも含めおそれは圓おはたりたす図衚9。長期化する貿易戊争は米囜の成長ず株匏垂堎に悪圱響を䞎え、いずれもトランプ氏の再遞可胜性を損なうこずになりたす。 図衚9トランプは経枈運営ではたずたず高評䟡だが、それ以倖は評䟡が䜎い 2019幎第4四半期のストラテゞヌ芋通し『ショヌ・ミヌ』マヌケット 2019幎第4四半期のストラテゞヌ芋通し『ショヌ・ミヌ』マヌケット 図衚10誰が2020幎の民䞻党指名を勝ち取るか 2019幎第4四半期のストラテゞヌ芋通し「ショヌ・ミヌ」マヌケット 2019幎第4四半期のストラテゞヌ芋通し「ショヌ・ミヌ」マヌケット 䞭囜も成長を䞋支えしたいず考えおいたす。䞭囜指導郚にずっおトランプず察凊するのは困難だったにせよ、圌が再遞された埌に貿易合意を取り付けるのはさらに難しくなるでしょう。特にトランプが䞭囜が自身の再遞を劚害しようずしたず考えればなおさらです。 たずえトランプが遞挙に敗れたずしおも、䞭囜が貿易問題で亀枉しやすい盞手を埗られるかは䞍透明です。賭け垂堎が珟圚ゞョヌ・バむデンよりも民䞻党候補指名獲埗の可胜性が高いず芋おいる゚リザベス・りォヌレン倧統領ず環境基準や人暩に぀いお亀枉したいでしょうか図衚10 民䞻党によるトランプ倧統領の匟功の動きは、貿易解決をやや実珟しやすくするでしょう。第䞀に、それはゞョヌ・バむデンおよび圌の息子のりクラむナでの疑わしい取匕に泚目を集め、䞭囜が支持する米倧統領候補に打撃を䞎えたす。第二に、トランプを囜内問題に集䞭させるために䞭囜ずの争いを早く片付けたいずいう意向を匷めさせる可胜性がありたす。 䞭囜はさらに刺激策を行うか 戊略的に芋お、䞭囜には経枈を刺激しお成長を支え、貿易亀枉でより倧きなレバレッゞを埗る匷いむンセンティブがありたす。 䞭囜のクレゞット・むンパルスは2018幎埌半に底打ちしたした。このむンパルスは䞭囜の名目補造業生産やその他倚くの掻動指暙に玄9か月先行したす図衚11。 これたでのずころ、䞭囜の信甚・財政緩和の芏暡は、2015/16幎および2008/09幎に経枈ぞ投入された刺激策には及んでいたせん。これは郚分的には圓局が圓時よりも今日の過床な債務氎準をより懞念しおいるためですが、同時に経枈の状況が圓時より良奜であるこずも理由です。 貿易戊争からのショックはグレヌト・リセッションほど深刻ではありたせん──䞭囜の察米茞出は付加䟡倀ベヌスでGDPのわずか2.7に過ぎないこずを思い出しおください。2015/16幎に䞭囜が1兆ドル超の倖貚準備を倱ったのずは異なり、今回の資本流出は限定的にずどたっおいたす図衚12。 図衚11䞭囜の刺激策は䞖界成長を抌し䞊げるはずだ 䞭囜の景気刺激策は䞖界経枈の成長を抌し䞊げるはずだ 䞭囜の景気刺激策は䞖界経枈の成長を抌し䞊げるはずだ 図衚12䞭囜倧きな資本流出はない 䞭囜倧芏暡な資本流出は芋られない 䞭囜倧芏暡な資本流出は芋られない 今週初めに発衚された予想を䞊回る䞭囜の賌買担圓者指数PMIデヌタは䞀瞷の望みを提䟛しおいたす。それでも、8月の掻動指暙の倱望的な数字を螏たえるず、䞭囜は今埌数か月で刺激のペヌスを高める可胜性が高いです。 圓局はすでに預金準備率を匕き䞋げおいたす。今埌数か月で政策金利をさらに匕き䞋げるず予想したす。たた、地方政府債の発行を前倒しするこずでむンフラ支出を抌し䞊げるでしょう。ペヌロッパの成長は改善するはずだ 䞖界的な成長の回埩は今幎埌半にペヌロッパを埌抌しするだろう。貿易䟝存床の高いドむツが最も恩恵を受けるだろう。 チャヌト13南欧党域でスプレッドは瞮小した 南ペヌロッパ党域でスプレッドが瞮小した 南ペヌロッパ党域でスプレッドが瞮小した チャヌト14マネヌ成長の加速はナヌロ圏の囜内総生産成長に奜材料ずなる マネヌ䟛絊の加速はナヌロ圏のGDP成長にずっお奜材料 マネヌ䟛絊の加速はナヌロ圏のGDP成長にずっお奜材料 ゜ブリン・スプレッドの䜎䞋も南欧を支えるはずだチャヌト13。むタリアの察独囜債の10幎スプレッドは8月䞭旬以来ほが1ポむント瞮小し、むタリアの10幎利回りは0.83たで䜎䞋した。ギリシャの10幎債は珟圚米囜債より利回りが䜎くなっおいるギリシャの補造業賌買担圓者景気指数は珟圚䞖界で最も匷い。 欧州䞭倮銀行が再び垂堎で囜債ず瀟債を買い入れおいるため、借入金利は䜎い氎準にずどたるはずだ。囜内総生産の先行指暙であるナヌロ圏のマネヌ成長はすでに加速しおいるチャヌト14。民間向け銀行貞出は匕き続き加速するだろう。 適床な財政刺激も助けになるだろう。欧州委員䌚はナヌロ圏の財政的な抌し䞊げが2019幎に囜内総生産比0.5増加するず芋積もっおいるチャヌト15。保守的に公共支出乗数を1ず仮定するず、これはナヌロ圏の成長を0.5ポむント抌し䞊げるこずになる。財政政策の倉曎ず実䜓経枈ぞの圱響の間にはタむムラグがあるため、囜内総生産成長ぞの恩恵の倧郚分は今幎の残りず2020幎に発生するだろう。 チャヌト15ナヌロ圏の財政刺激策も成長を抌し䞊げるだろう ナヌロ圏の財政刺激策も成長を抌し䞊げる ナヌロ圏の財政刺激策も成長を抌し䞊げる チャヌト17ブレグゞットの䞍安埌悔の䞀䟋 ブレグゞットの䞍安ブレモヌスの事䟋 ブレグゞットの䞍安ブレモヌスの事䟋 チャヌト16英囜ブレグゞットの䞍確実性が成長を圧迫しおいる 英囜ブレグゞットの䞍確実性が成長を抌し䞋げおいる 英囜ブレグゞットの䞍確実性が成長を抌し䞋げおいる 英囜では、ブレグゞットの䞍確実性が匕き続き成長を圧迫しおいる。英囜の䌁業投資は特に倧きな打撃を受けおいるチャヌト16。ボリス・ゞョン゜ン銖盞は10月末に合意の有無にかかわらず英囜を欧州連合から離脱させるず䞻匵し続けおいる。我々は圌の虚勢をあたり重芖しない぀もりだ。最高裁刀所はすでに議䌚を閉鎖しようずする圌の詊みを吊定しおいる。囜民はブレグゞットの望たしさに぀いお再考しおいるチャヌト17。ブレグゞットの筋曞きの正確な展開に぀いお我々は確固たる芋解を持っおいるわけではないが、合意なきブレグゞットの確率は䜎いず考えおいる。これは英囜の成長ずポンドにずっお奜材料だ。 日本オりンゎヌル 最近の日本のデヌタは芳しくない。8月の工䜜機械受泚は前幎同月比で37枛少した。茞出は8超瞮小し、茞入は12の枛少を蚘録した。9月の賌買担圓者景気指数の数倀は補造業のさらに悪化を露呈させ、指数は8月の49.3から48.9に䜎䞋した。 加えお、鉱工業生産は8月に予想より倧きく瞮小し、前月比で1枛少、前幎同月比では玄5の䞋萜ずなった。米䞭貿易亀枉をめぐる継続する䞍確実性や、日本自身ず隣囜韓囜ずの緊匵も日本経枈に重荷ずなっおいる。 䞖界的な成長が回埩すれば日本の産業掻動は今幎埌半に改善するだろう。しかし、政府は10月1日の消費皎匕き䞊げによっお成長芋通しを助けおはいない。各皮の盞殺策が皎率匕き䞊げの完党な効果を鈍らせるずはいえ、それでも䞍芁な財政匕き締めに盞圓する。 名目囜内総生産は1990幎代初頭以来ほずんど増加しおいない。日本に必芁なのは名目所埗を抌し䞊げる政策だ。そのようなリフレヌション政策こそが、経枈をデフレのスパむラルに戻すこずなく債務察囜内総生産比を安定させる唯䞀の方法かもしれない。1  米囜粘り匷く察応 チャヌト18米囜の補造業の割合は他のほずんどの先進囜より小さい 2019幎第4四半期のストラテゞヌ芋通し「芋せお」マヌケット 2019幎第4四半期のストラテゞヌ芋通し「芋せお」マヌケット 米囜経枈は最近の䞖界的な景気枛速の䞭でも比范的良奜に掚移しおきたが、郚分的には補造業が倚くの他囜よりも囜内総生産に占める割合が小さいためだチャヌト18。 アトランタ連銀のGDPNowモデルによれば、実質囜内総生産は第3四半期にトレンドに近い1.8のペヌスで増加する芋蟌みだチャヌト19。個人消費は第2四半期の4.6の成長の埌、2.5増加する芋蟌みだ。消費は賃金䞊昇に支えられお堅調であり、個人貯蓄率も高氎準にずどたっおいるため、家蚈は䜕らかの䞍利なショックからの緩衝に備えられるはずだチャヌト20。   チャヌト19米囜の成長は鈍化したが、䟝然ずしおトレンドに近い 2019幎第4四半期のストラテゞヌ芋通し『実瞟を瀺せ』垂堎 2019幎第4四半期のストラテゞヌ芋通し『実瞟を瀺せ』垂堎 䜏宅投資は぀いに回埩局面に入ったように芋える。着工件数、建築蚱可、䜏宅販売はいずれも回埩しおいる。䜏宅ロヌン金利ず䜏宅建蚭の密接な関係を考えれば、建蚭掻動は今埌数四半期で加速するはずだチャヌト21。䜎い圚庫ず空宀率、䞖垯圢成の増加、そしお手頃な䟡栌はいずれも䜏宅垂堎にずっお奜材料だチャヌト22。 チャヌト20資産ずの歎史的関係から刀断するず貯蓄率は倧幅に䜎䞋する䜙地がある 貯蓄率は、資産ずの歎史的関係から刀断するずかなり䜎䞋する䜙地がある 貯蓄率は、資産ずの歎史的関係から刀断するずかなり䜎䞋する䜙地がある チャヌト21米囜の䜏宅は回埩するだろう 米囜の䜏宅垂堎は回埩する 米囜の䜏宅垂堎は回埩する チャヌト22米囜䜏宅堅実な基盀の䞊にある 米囜䜏宅堅固な基盀の䞊にある 米囜䜏宅堅固な基盀の䞊にある チャヌト23米囜の蚭備投資蚈画は高倀から埌退したが、景気埌退氎準にははるかに届いおいない 米囜の蚭備投資蚈画は高倀圏から埌退したが、景気埌退氎準にはほど遠い 米囜の蚭備投資蚈画は高倀圏から埌退したが、景気埌退氎準にはほど遠い 䜏宅投資ずは察照的に、䌁業の蚭備投資は補造業の䞍況、匷いドル、貿易政策の䞍確実性に抌され続けおいる。コア耐久財受泚は8月に枛少した。蚭備投資意向調査も匱含んでいるが、景気埌退氎準をはるかに䞊回っおいるチャヌト23。 ISM補造業指数は9月に2009幎7月以来の䜎氎準に達した。報告の内蚳はヘッドラむンほど悪くはなかった。ISMを2か月先行する受泚察圚庫の構成芁玠は再びプラス圏に戻った。匱いISMの数倀は、4月以来最高倀に䞊昇したより楜芳的なマヌキットの米囜補造業賌買担圓者景気指数ず察照をなしおいる。統蚈的には、マヌキットのPMIはISMよりも米囜の補造業生産、工堎受泚、雇甚の公匏指暙をよりよく远跡する。 総合すれば、䞖界の補造業リセッションが終息し、匷い消費支出ず改善する䜏宅垂堎が囜内需芁を支えるに぀れお、米囜経枈は今幎埌半にやや匷い成長を瀺す可胜性が高い。 II. 金融垂堎 グロヌバル・アセット・アロケヌション 垂堎は「成果を芋せおくれ」段階に入っおいる。株匏が持続的に䞊昇するためには、より良い経枈指暙ず貿易亀枉の実質的な進展が必芁だ。そのため、投資家は圓面䞋方リスクに備えるために通垞より倧きめの珟金ポゞションを維持すべきだ。 チャヌト24成長が回埩すれば株匏は債刞をアりトパフォヌムするだろう 成長が回埩すれば株匏は債刞を䞊回る 成長が回埩すれば株匏は債刞を䞊回る 幞いなこずに、リスク資産䟡栌の䞋萜は䞀時的である可胜性が高い。貿易緊匵が和らぎ、我々が予想するように今幎埌半に䞖界成長が回埩すれば、株匏ずスプレッド商品は12か月の期間で囜債を倧きくアりトパフォヌムするだろうチャヌト24。 確かに、この楜芳的な12か月の掚奚を芆す芁因は数倚くある䞖界成長がさらに悪化する可胜性貿易戊争が激化する可胜性䟛絊偎のショックで石油䟡栌が再び急隰する可胜性英囜が「ハヌド・ブレグゞット」でEUを離脱する可胜性そしお最埌に、゚リザベス・りォヌレンあるいはその他の極巊候補が次期米囜倧統領になる可胜性などだ。 今日における投資家の䞻芁な問いは、これらのリスクが金融垂堎に十分に織り蟌たれおいるかどうかだ。我々は織り蟌たれおいるず考えおいる。チャヌト25は、利益利回りず実質債刞利回りの差ずしお蚈算した我々の䞖界株匏リスクプレミアERPの掚定倀を瀺す。我々の蚈算は、株匏は䟝然ずしお債刞に比べおかなり割安に芋えるこずを瀺唆しおいる。 チャヌト25A株匏リスクプレミアは䟝然かなり高いI 株匏リスクプレミアムは䟝然ずしおかなり高いI 株匏リスクプレミアムは䟝然ずしおかなり高いI チャヌト25B株匏リスクプレミアは䟝然かなり高いII ゚クむティ・リスクプレミアは䟝然ずしおかなり高いII ゚クむティ・リスクプレミアは䟝然ずしおかなり高いII ERPが高いのは今日の超䜎氎準の債刞利回りが非垞に䜎い成長芋通しを反映しおいるからに過ぎないず異議を唱える者もいる。その䞻匵には䞀理あるが、人々が考えるほどではない。過去10幎間で米囜のトレンド囜内総生産成長率は䜎䞋したが、債刞利回りはさらに倧きく䜎䞋した。議䌚予算局が掚蚈する米囜の朜圚的な名目囜内総生産成長率ず10幎物米囜債利回りの差はほが2で、1979幎以来の最倧ずなっおいるチャヌト26。 チャヌト26債刞利回りはトレンドの名目囜内総生産成長率よりも倧きく䜎䞋した 債刞利回りは名目GDPのトレンド成長率よりも倧きく䞋萜した 債刞利回りは名目GDPのトレンド成長率よりも倧きく䞋萜した 䞖界レベルでは、トレンドの囜内総生産成長率は1980幎以降ほずんど倉わっおいない。これは䞻に、成長の速い新興垂堎が珟圚䞖界経枈に占める割合を拡倧しおいるためだチャヌト27。倧手倚囜籍䌁業にずっおは、囜内成長よりもグロヌバル成長の方が経枈の勢いを枬る䞊でより重芁な指暙である。将来の株匏リタヌンの芋通し 高いERPは単に株匏が債刞に察しお盞察的に魅力的であるこずを瀺しおいるに過ぎたせん。株匏の今埌のリタヌンを絶察的に評䟡するには、評䟡氎準の絶察レベルを芋るべきです。 チャヌト27䞖界の成長トレンドは成長の速い新興囜EMによっお安定を保っおいる チャヌト27 䞖界の成長トレンドは、成長の速い新興囜EMのおかげで堅調に掚移しおいる。 䞖界の成長トレンドは、成長の速い新興囜EMのおかげで堅調に掚移しおいる。 チャヌト28S&P 500マヌゞンの䞊昇はすべおITセクタヌで発生しおいる S&P 500マヌゞンの増加はすべおITセクタヌで生じおいる S&P 500マヌゞンの増加はすべおITセクタヌで生じおいる 我々が最近のレポヌト「TINAに救いを求めるか」で䞻匵したように、2 アヌンニングス・むヌルドは株匏の期埅実質トヌタル・リタヌンの代甚指暙ずしお甚いるこずができたす。経隓的には、このこずは裏付けられおいるようです1950幎以降、米囜株匏のアヌンニングス・むヌルドは平均で6.7であり、実質トヌタル・リタヌンは7.2でした。 珟圚、米囜株のトレヌリングおよびフォワヌドのPERはそれぞれ21.1ず17.4にありたす。将来のリタヌンの指暙ずしお䞡者の単玔平均を甚いるず、米囜株は長期的に実質トヌタル・リタヌンで5.2をもたらすはずです。これは歎史的な平均を䞋回りたすが、それでもかなりたずたずのリタヌンです。 この蚈算は、米囜のアヌンニングス・むヌルドが異垞に高い利益率によっお䞀時的に嵩䞊げされおいるため、芋蟌み株匏リタヌンを過倧評䟡しおいるず異議を唱える者もいるでしょう。しかしこの議論の問題点は、S&P 500のマヌゞン䞊昇のほずんどがたった䞀぀のセクタヌ、すなわちテクノロゞヌで発生しおいるこずです。テックセクタヌを陀けば、S&P 500のマヌゞンは歎史的平均から倧きくは離れおいたせんチャヌト28。もし高いITマヌゞンが、匷力なネットワヌク効果や独占的な䟡栌蚭定力に恩恵を受ける「勝者総取り」型の䌁業の台頭のような、グロヌバル経枈における構造的倉化を反映しおいるならば、それらは圓面の間高止たりする可胜性がありたす。   地域別およびセクタヌ別の株匏配分 アヌンニングス・むヌルドは米囜倖では抂ね2ポむント高く、長期的には非米囜株が米囜株を䞊回るこずが瀺唆されおいたす。先進囜垂堎では、ドむツ、スペむン、英囜が特に割安に芋えたす。新興囜EMでは䞭囜、韓囜、ロシアが非垞に魅力的な氎準にありたすチャヌト29。セクタヌ氎準では、景気埪環株がディフェンシブ株よりも魅力的に芋えたすチャヌト30。 チャヌト29米囜株は同業他囜ず比べお割高に芋える 2019幎第4四半期のストラテゞヌ芋通し『実蚌を求める』マヌケット 2019幎第4四半期のストラテゞヌ芋通し『実蚌を求める』マヌケット チャヌト31経枈成長は12か月の期間で株匏を動かす 経枈成長は12か月の芋通しで゚クむティを牜匕する 経枈成長は12か月の芋通しで゚クむティを牜匕する チャヌト30景気埪環株はディフェンシブ株よりも魅力的である 景気埪環株はディフェンシブ株より魅力的 景気埪環株はディフェンシブ株より魅力的 チャヌト32䞖界成長が改善するず新興囜EMおよびナヌロ圏株匏はたいおいアりトパフォヌムする 䞖界経枈の成長が改善するず、新興囜株匏EMおよびナヌロ圏株匏は通垞アりトパフォヌムする 䞖界経枈の成長が改善するず、新興囜株匏EMおよびナヌロ圏株匏は通垞アりトパフォヌムする バリュ゚ヌションは䞻に長期リタヌンの指暙ずしお有甚です。䟋えば12か月の期間では、景気、金利、為替に䜕が起こるかずいった景気埪環芁因がより重芁になりたすチャヌト31。 幞いなこずに、我々の景気埪環に関する芋方は抂ねバリュ゚ヌションの評䟡ず合臎しおいたす。より匷い䞖界成長、より匱いドル、そしおコモディティ䟡栌の䞊昇は、ディフェンシブよりも景気埪環株に恩恵をもたらすはずです。新興囜EMおよび欧州の株匏垂堎が米囜株に比べおより景気埪環色の匷いセクタヌ構成である皋床においお、前者は最終的にアりトパフォヌムするこずになるでしょうチャヌト32。 我々は、䞖界成長が再加速し始めれば幎末たでに金融セクタヌをアップグレヌドするセクタヌリストに加えたいず考えおいたす。債刞利回りの䜎䞋は銀行利益を圧迫しおきたしたチャヌト33。利ざやネット金利マヌゞンぞの逆颚は利回りが䞊昇し始めるず緩和されるはずです。珟圚フォワヌド予想利益の7.6倍、簿䟡の0.6倍で取匕され、配圓利回りが6.3ず高い欧州の銀行は特に奜成瞟を収める可胜性がありたすチャヌト34。 チャヌト33A金利䞊昇ずむヌルドカヌブの䞊方化は金融株に有利に働くI 債刞利回りの䞊昇ずむヌルドカヌブのスティヌプ化は金融株に恩恵をもたらすI 債刞利回りの䞊昇ずむヌルドカヌブのスティヌプ化は金融株に恩恵をもたらすI チャヌト33B金利䞊昇ずむヌルドカヌブの䞊方化は金融株に有利に働くII 債刞利回りの䞊昇ず利回り曲線のスティヌプ化は金融株に有利II 債刞利回りの䞊昇ず利回り曲線のスティヌプ化は金融株に有利II チャヌト35が瀺すように、金融株ぞの投資はバリュヌ株ぞの投資ず䌌おいたす。過去12幎間でグロヌスはバリュヌを圧倒したしたが、今埌1218か月ではバリュヌにずっおひず息぀ける局面が蚪れるでしょう。 チャヌト34欧州の銀行は魅力的である 欧州の銀行は魅力的だ 欧州の銀行は魅力的だ チャヌト35バリュヌは反転の兆しを芋せおいるか バリュヌは転換点にあるか バリュヌは転換点にあるか   フィクスト・むンカム チャヌト36A成長加速で利回りは䞊昇するはずであるI 成長が匷たれば利回りは䞊昇するはずI 成長が匷たれば利回りは䞊昇するはずI ハト掟的な䞭倮銀行ず、圓面は䟝然ずしお抑制されたむンフレが、今埌12か月にわたり政府債利回りを抑制するのに寄䞎するでしょう。それでも、利回りはより匷い䞖界成長を背景に珟圚の䜎氎準から䞊昇するはずですチャヌト36。     チャヌト36B成長加速で利回りは䞊昇するはずであるII 成長が匷たれば利回りは䞊昇する (II) 成長が匷たれば利回りは䞊昇する (II) 債刞利回りは、䞭倮銀行が予想より倚くあるいは少なく政策金利を調敎するかどうかによっお䞊昇したり䜎䞋したりする傟向がありたすチャヌト37。投資家は珟圚、FRBが今埌12か月でさらに80ベヌシスポむントの利䞋げを行うず芋蟌んでいたす。我々はFRBが10月30日に25ベヌシスポむントの利䞋げを行うず考えおいたすが、その埌の远加利䞋げは芋蟌んでいたせん。この緩和局面での环積75ベヌシスポむントの利䞋げは、1990幎代のミッドサむクルの景気枛速期1995/96幎および1998幎で行われた緩和に盞圓したす。総じお、米囜の10幎物金利は2020幎䞭頃たでに再び2台前半に入る可胜性が高いです。 チャヌト37Aより匷い経枈成長は政府債利回りに䞊方圧力をかけるI より匷い経枈成長は囜債利回りに䞊方圧力をかけるI より匷い経枈成長は囜債利回りに䞊方圧力をかけるI チャヌト36Bより匷い経枈成長は政府債利回りに䞊方圧力をかけるII より匷い経枈成長は囜債利回りに䞊方圧力をかけるII より匷い経枈成長は囜債利回りに䞊方圧力をかけるII チャヌト38米囜の政府債利回りは海倖の利回りよりも景気埪環的である 米囜囜債の利回りは海倖の囜債利回りより景気ず同方向に動きやすい 米囜囜債の利回りは海倖の囜債利回りより景気ず同方向に動きやすい 米囜株が海倖の株に比べお䜎ベヌタである傟向があるのずは察照的に、米囜債は高ベヌタを持っおいたす。これは、䞖界の債刞利回りが総じお䞊昇するずきに米囜の囜債利回りが海倖よりも倧きく䞊昇し、䞖界の債刞利回りが総じお䜎䞋するずきに米囜の囜債利回りが海倖よりも倧きく䜎䞋するこずを意味したすチャヌト38。  さらに、為替ヘッゞコストを考慮に入れるず、米囜債は珟圚ほかの債刞垂堎よりも利回りが䜎くなっおいたす衚1。今埌1218か月で米囜利回りが海倖よりも倧きく䞊昇するようなこずがあれば、米囜債のリタヌンはさらに損なわれるでしょう。その結果、投資家はグロヌバルな政府債ポヌトフォリオの䞭で米囜債のり゚むトを䜎めにすべきです。 䞖界的な成長の匷さはコヌポレヌト・クレゞット・スプレッドを抑えるはずです。米囜の商業・䌁業向け貞出の貞し出し基準は緩和方向に戻っおおり、これは通垞コヌポレヌト・クレゞットにずっお匷気材料ですチャヌト39。我々の米囜債刞ストラテゞストによれば、ハむむヌルド瀟債のスプレッド、そしお皋床は小さいもののBaa栌付けの投資適栌スプレッドは、経枈ファンダメンタルズから芋おただ広めに残っおいるずされおいたすチャヌト40。3 䞀方で、より高栌付けの投資適栌債は盞察的な割安床が小さいです。 衚1先進囜における債刞垂堎の比范 2019幎第4四半期 ストラテゞヌ芋通し蚌拠を求める垂堎 2019幎第4四半期 ストラテゞヌ芋通し蚌拠を求める垂堎 チャヌト39貞し出し基準の緩和はコヌポレヌト・クレゞットに良い圱響を䞎える 貞出基準の緩和はコヌポレヌト・クレゞットにずっお奜材料だ 貞出基準の緩和はコヌポレヌト・クレゞットにずっお奜材料だ チャヌト40米囜コヌポレヌトBaaずハむむヌルド債に泚目 米囜コヌポレヌト債Baaおよびハむむヌルド・クレゞットに泚目 米囜コヌポレヌト債Baaおよびハむむヌルド・クレゞットに泚目     今埌18か月を超えお芋るず、むンフレが実質的に䞊昇し始める確率は高いず考えられたす。G7党䜓の倱業率は数十幎ぶりの䜎氎準に䜎䞋しおいたすチャヌト41。完党雇甚に達した先進囜の割合は新たなサむクル高氎準に達しおいたすチャヌト42。フィリップス曲線は死んだずいわれるこずが倚いにもかかわらず、賃金の䌞びは劎働垂堎の䜙裕床ずなお密接に盞関しおいたすチャヌト43。 チャヌト41倱業率は䜎䞋トレンドを保っおいる 倱業率は䜎䞋傟向が続く 倱業率は䜎䞋傟向が続く チャヌト42先進囜完党雇甚が新たなサむクル高に達しおいる 先進囜垂堎完党雇甚がサむクルの新高倀に達しおいる 先進囜垂堎完党雇甚がサむクルの新高倀に達しおいる チャヌト43フィリップス曲線は健圚である フィリップス曲線は健圚だ フィリップス曲線は健圚だ 賃金が䞊昇し続けるず、物䟡も䞊昇し始め、賃金・物䟡のスパむラルを匕き起こす可胜性がありたす。その時点でFRBをはじめずする䞭倮銀行は利䞊げを始めざるを埗なくなりたす。䞀床金利が制玄的な氎準に入るず、株匏は䞋萜し、クレゞット・スプレッドは拡倧するでしょう。2022幎には䞖界的な景気埌退が生じる可胜性がありたす。 通貚ずコモディティ チャヌト 44ドルは逆埪環通貚である ドルは景気埪環に逆行する通貚だ ドルは景気埪環に逆行する通貚だ 米ドルは逆埪環通貚であり、䞖界的な景気埪環ずは逆の方向に動く傟向があるチャヌト 44。珟時点では米ドルの方向性に぀いお匷い短期芋解は持っおいないが、䞖界成長が反発し始めるに぀れお幎末たでに米ドルは匱含み始めるず予想しおいる。 EUR/USDは2020幎䞭頃たでに玄1.13に䞊昇する芋蟌みだ。GBP/USDは1.29に䞊昇するだろう。USD/CNYは7に戻る。USD/JPYは暪ばいずなる公算が倧きく、これは円の防衛的性栌ず消費皎匕き䞊げによる日本の成長ぞの䞋抌しを反映しおいる。 貿易加重ドルは2021幎埌半たで䞋萜し続け、その埌はより積極的な連邊準備制床Fedず䞖界成長の枛速により米ドルは再び䞊昇するだろう。 ドルが匱含む期間䞭、コモディティ䟡栌は䞊昇するチャヌト 45。 チャヌト 45ドル安はコモディティに恩恵をもたらす ドル安はコモディティの远い颚 ドル安はコモディティの远い颚 BCAのコモディティ・ストラテゞストは、12カ月の芖野で特に原油に匷気であるチャヌト 46。圌らは、䞖界成長の匷化ず生産抑制により石油圚庫氎準が䜎䞋するず予想しおおり、ブレント原油䟡栌は幎末たでに1バレル圓たり70ドルに䞊昇し、2020幎は平均で1バレル圓たり74ドルになるず芋おいる。OPECの䜙剰生産胜力カルテルが生産可胜な量ず実際に生産しおいる量の差は珟圚歎史的平均を䞋回っおいるチャヌト 47。原油備蓄はOECD内でも䜎䞋傟向にある。サりゞアラビアの備蓄も2015幎のピヌク以降40超枛少しおいるチャヌト 48。 チャヌト 46䟛絊䞍足は継続する 䟛絊䞍足は続く 䟛絊䞍足は続く チャヌト 47停止を盞殺するための䜙剰胜力の利甚可胜性は限定的 2019幎第4四半期のストラテゞヌ芋通し「芋せおみろ」垂堎 2019幎第4四半期のストラテゞヌ芋通し「芋せおみろ」垂堎 チャヌト 48䞻芁戊略石油備蓄 䞻芁な戊略石油備蓄 䞻芁な戊略石油備蓄 原油䟡栌の䞊昇は、カナダドル、ノルりェヌ・クロヌネ、ロシアルヌブル、コロンビア・ペ゜ずいった通貚に有利に働くはずだ。 最埌に金に぀いお少し觊れる。我々は8月29日に金のロングトレヌドを決枈し、20週間で20.5の利益を確定した。䟝然ずしお、金はより高いむンフレに察する優れた長期ヘッゞず芋おいる。ただし短期的には、債刞利回りの䞊昇が金の勢いをそぐ可胜性があり、仮にドル安が金を郚分的に支揎するずしおもその効果は限定的である。むンフレが䞊振れし始めた時点で、来幎末か2021幎に金のロングポゞションを再床組む予定だ。   ピヌタヌ・ベレゞン、 チヌフ・グロヌバル・ストラテゞスト グロヌバル・むンベストメント・ストラテゞヌ peterb@bcaresearch.com 脚泚 1詳现はグロヌバル・むンベストメント・ストラテゞヌ りィヌクリヌ・レポヌト、「高氎準の債務はデフレ的か、それずもむンフレ的か」2019幎2月15日付をご芧ください。 2詳现はグロヌバル・むンベストメント・ストラテゞヌ スペシャル・レポヌト、「TINAは救いの手ずなるか」2019幎8月23日付をご芧ください。 3詳现は米囜ボンド・ストラテゞヌ りィヌクリヌ・レポヌト、「瀟債投資家は連邊準備制床Fedに逆らうべきではない」2019幎9月17日付をご芧ください。 ストラテゞヌ & マヌケット・トレンド MacroQuantモデルず珟圚の䞻芳的スコア 2019幎第4四半期のストラテゞヌ芋通し『芋せおみろ』マヌケット 2019幎第4四半期のストラテゞヌ芋通し『芋せおみろ』マヌケット タクティカル・トレヌド ストラテゞック・レコメンデヌション クロヌズド・トレヌド