BCA Indicators/Model
Dear Client, Geopolitical analysis is a fundamental part of the investment process. My colleague, and BCA's Chief Geopolitical Strategist, Marko Papic will introduce a one-day specialized course - Geopolitics & Investing - to our current BCA Academy offerings. This special inaugural session will take place on September 26 in Toronto and is available, complimentary, only to those who sign up to BCA's 2018 Investment Conference. The course is aimed at investors and asset managers and will emphasize the key principles of our geopolitical methodology. Marko launched BCA's Geopolitical Strategy (GPS) in 2012. It is the financial industry's only dedicated geopolitical research product and focuses on the geopolitical and macroeconomic realities which constrain policymakers' options. The Geopolitics & Investing course will introduce: The constraints-based methodology that underpins BCA's Geopolitical Strategy; Best-practices for reading the news and avoiding media biases; Game theory and its application to markets; Generating "geopolitical alpha;" Manipulating data in the context of political analysis. The course will conclude with two topical and market-relevant "war games," which will tie together the methods and best-practices introduced in the course. We hope to see you there. Click here to join us! Space is limited. Robert Robis, Chief Fixed Income Strategist Highlights Q2 Performance Breakdown: The return for the Global Fixed Income Strategy (GFIS) recommended model bond portfolio was flat (hedged into U.S. dollars) in the second quarter of 2018, outperforming the custom benchmark index by +13bps. This pushed the 2018 year-to-date performance back into positive territory. Winners & Losers: Nearly the entire outperformance came from our overweight stance on U.S. high-yield corporates versus our underweight tilt on emerging market corporates. Successful government bond country allocation (overweight U.K. & Australia, underweight Italy) helped offset the drag on performance from our overweight stance on U.S. investment grade corporates. Scenario Analysis: Our recent decision to downgrade overall spread product exposure, even as we maintain a below-benchmark duration stance, should help boost the expected alpha of the model portfolio over the next year. Feature This week, we present the performance numbers for the BCA Global Fixed Income Strategy (GFIS) model bond portfolio in the second quarter of 2018. As a reminder to existing readers (and for new clients), the portfolio is a part of our service that is meant to complement the usual macro analysis of global fixed income markets. The model portfolio is how we communicate our opinion on the relative attractiveness between government bond and spread product sectors, by applying actual percentage weightings to each of our recommendations within a fully invested hypothetical bond portfolio. In this report, we update our estimates of future portfolio performance, using the scenario analysis framework that we introduced three months ago.1 After our recent decision to downgrade global spread product exposure, our model portfolio is now expected to outperform the custom benchmark index over the next year in both our base case and plausible stress test scenarios. Q2/2018 Model Portfolio Performance Breakdown: Country & Credit Selection Pays Off The total return of the GFIS model bond portfolio was flat (hedged into U.S. dollars) in the second quarter of the year, which outperformed our custom benchmark index by +13bps.2 The first half of the quarter was driven by gains from our below-benchmark duration tilt, as the 10-year U.S. Treasury yield hit a peak of 3.13%. As yields drifted a bit lower in the latter half of Q2 in response to some cooling of global economic growth amid rising concerns on U.S. trade policy, the gains from duration reversed. At the same time, the outperformance from the spread product portion of our model portfolio started to kick in (Chart of the Week), even as credit spreads in all markets widened. Chart of the WeekSpecific Country & Credit Allocations##BR##Boosted Q2 Performance Table 1GFIS Model Bond Portfolio##BR##Q2-2018 Overall Return Attribution In terms of the specific breakdown between the government bond and spread product allocations in our model portfolio, the former generated +5bps of outperformance versus our custom benchmark index while the latter outperformed by +8bps (Table 1). 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. Chart 2GFIS Model Bond Portfolio##BR##Q2/2018 Government Bond Performance Attribution By Country Chart 3GFIS Model Bond Portfolio##BR##Q2/2018 Spread Product Performance Attribution By Sector The main individual sectors of the portfolio that drove the excess returns were the following: Biggest outperformers Overweight U.S. high-yield B-rated corporates (+5bps) Overweight U.S. high-yield Caa-rated corporates (+2bps) Overweight Japanese government bonds (JGBs) with maturities up to ten years (+3bps) Underweight emerging market U.S. dollar-denominated corporate debt (+5bps) Underweight Italian government bonds (+4bps) Overweight U.K. Gilts (+1bp) Overweight Australian government bonds (+1bp) Biggest underperformers Overweight U.S. investment grade Financials (-2bps) Overweight U.S. investment grade Industrials (-2bps) Underweight JGBs with maturities beyond ten years (-5bps) Underweight French government bonds with maturities beyond ten years (-2bps) Two unusual trends stand out in the Q2 performance numbers: First, our overweight stance on U.S. high-yield debt was able to deliver positive alpha but a similar tilt on U.S. investment grade did not, even as U.S. corporate credit spreads widened during the quarter. It is odd for an asset class (high-yield) that is typically more volatile to outperform during a period of credit spread widening. Although that outcome did justify our view that U.S. investment grade corporates have been offering far less cushion to a period of spread volatility than U.S. junk bonds. Second, the flattening pressures on global government bond yield curves resulted in underperformance from the very long ends of curves in core Europe and Japan, even though the latter regions were the best performing bond markets in our model bond portfolio universe. This can be seen in Chart 4, which presents the benchmark index returns of the individual countries and spread product sectors in the GFIS model bond portfolio. The returns are hedged into U.S. dollars (we do not take active currency risk in this portfolio) and also 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 the second quarter.3 Chart 4Ranking The Winners & Losers From The Model Portfolio In Q2/2018 As can be seen in the chart, the best performers were government bonds in Germany, France and Japan. The fact that our excess return from those countries was only a combined +2bps, even with an aggregate overweight exposure to all three, suggests that our duration allocation within the maturity buckets of those countries was a meaningful drag on performance. Yet in terms of the overall success rate of our individual country and sector calls, the news was positive in Q2. We've been overweight U.K. Gilts and Australian government bonds, which were some of the top performers in Q2. On the other side, we have been underweight emerging market corporate debt and Italian sovereign debt, which were the worst performers in the quarter. Bottom Line: The GFIS model bond portfolio outperforming the custom benchmark index by +13bps. This pushed the 2018 year-to-date performance back into positive territory. Nearly the entire outperformance came from our overweight stance on U.S. high-yield corporates versus our underweight tilt on emerging market corporates. Future Drivers Of Portfolio Returns After Our Recent Changes Looking ahead, the performance of the model bond portfolio will have different drivers in the third quarter and beyond after the recent changes to BCA's recommended strategic asset allocations.4 We downgraded global equity and spread product exposure to neutral, based on our concern that the backdrop for global growth, inflation and monetary policy was turning less supportive for risk assets, particularly given the potential new economic shock from the "U.S. versus the world" trade tensions. In terms of the specific weightings in the GFIS model bond portfolio, we still prefer owning U.S. corporate debt versus equivalents in Europe and emerging markets. Thus, while we downgraded our recommended allocation to U.S. and investment grade corporates to neutral from overweight, we also cut our weightings to euro area corporates, as well as to all emerging market hard currency debt (see the table on page 12, which shows the model bond portfolio changes that were made back on June 26th). The latter changes were necessary to maintain the relatively higher exposure to U.S. corporate debt versus non-U.S. corporates, although it does leave the model portfolio with a small overall underweight stance to global spread product (Chart 5). Importantly, we are maintaining a below-benchmark stance on overall portfolio duration, even as we grow more cautious on credit exposure. This is because we still see potential medium-term upward pressure on bond yields coming from tightening monetary policies (Fed rate hikes, ECB tapering of bond purchases) and increasing inflation expectations. The majority of global central bankers are dealing with tight labor markets and slowly rising inflation rates. While global growth has cooled a bit from the rapid pace seen in 2017, it has not been by enough to have policymakers shift to a more dovish bias. Throughout the first half of 2018, we have been deliberately targeting a modest tracking error for our model portfolio, given the historical richness (low yields, tight spreads) of so many parts of the global bond universe. Our estimate of the tracking error is now below the 40-60bp range that we have been targeting (Chart 6), but we are willing to live with this given the higher degree of uncertainty at the moment.5 Chart 5New Spread Product Allocation:##BR##Neutral U.S., Underweight Non-U.S. Chart 6Staying Defensive With##BR##The Risk Budget Importantly, the changes to our asset allocation recommendations should help boost the expected return of the model portfolio over the next year. In our Q1/2018 portfolio review published in April, we introduced a framework for estimating total returns for all government bond markets and spread product sectors, based on common risk factors. 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 recent historical yield betas to changes in U.S. Treasury yields (Table 2B). This framework allows us to conduct scenario analysis based on projected returns of each asset class in the model bond portfolio universe by making assumptions on those individual risk factors. Table 2AFactor Regressions Used To Estimate##BR##Spread Product Yield Changes Table 2BEstimated Government Bond Yield##BR##Betas To U.S. Treasuries With these tools, we can forecast returns for each bond sector under different scenarios. We can then use those forecasts to predict the expected return for our model bond portfolio under those same scenarios, but with our current relative allocations. In Tables 3A & 3B. we show three differing scenarios, with all the following changes occurring over a one-year horizon. Table 3AScenario Analysis For The GFIS Model Portfolio Table 3BU.S. Treasury Yield Assumptions For The Scenario Analysis Our Base Case: the Fed delivers another 100bps of rate hikes, the U.S. dollar rises +5%, oil prices rise by +10%, the VIX index increases by five points from current levels, and U.S. Treasury yields rise by 20-40bps across the curve. A Very Hawkish Fed: the Fed delivers 150bps of rate hikes, the U.S. dollar rises by +10%, oil prices rise by +10%, the VIX index increases by ten points from current levels and there is a sharp bear flattening of the U.S. Treasury curve. A Very Dovish Fed: the Fed only hikes rates by 25bps, the U.S. dollar falls by -5%, oil prices fall by -20%, the VIX index increases by fifteen points from current levels and there is a modest bull steepening of the U.S. Treasury curve (in this scenario, the Fed puts the rate hiking cycle on hold because of a sharp selloff in U.S. financial markets). The top half of Table 3A shows the expected returns for all three scenarios under our more bullish asset allocation prior to the changes made on June 26th, while the bottom half shows the expected performance of the model portfolio after our downgrade to global spread product. Importantly, the model bond portfolio is now expected to outperform the custom benchmark index in not only the base case scenario (+25bps of outperformance) but also in the two alternative scenarios of a very hawkish Fed (+46bps) and a very dovish Fed (+6bps). Those positive outcomes are not surprising, given that all three scenarios have some degree of risk aversion (higher VIX) that would play into our now-reduced exposure to credit risk in the portfolio. Our negative view on duration risk (Chart 7) also helps boost excess returns versus the benchmark in two of the three scenarios. Interestingly, these outcomes all occur despite the fact that the portfolio is now running with a negative carry (i.e. a lower total yield versus the benchmark index) after the reduction in spread product exposure (Chart 8). Although given our views that market volatility, bond yields and credit spreads are more likely to move higher in the next 6-12 months, we think that carry considerations now play a secondary role in portfolio construction. The time to try and earn carry is during stable markets, not volatile markets. Chart 7The Model Portfolio Is Not Chasing Yield Chart 8Staying Below-Benchmark On Overall Duration Bottom Line: Our recent decision to downgrade overall spread product exposure, even as we maintain a below-benchmark duration stance, should help boost the expected alpha of the model portfolio over the next year. Robert Robis, Senior Vice President Global Fixed Income Strategy rrobis@bcaresearch.com 1 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. 2 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. 3 For Italy, Germany & France, the bars have two colors since the portfolio weights were changed in mid-May, when we cut the recommended stance on Italy to underweight and raised the allocations to Germany & France as an offset. 4 Please see BCA Global Fixed Income Strategy Weekly Report, "Time To Take Some Chips Off The Table: Downgrade Global Spread Product Exposure To Neutral", dated June 26th 2018, available at gfis.bcaresearch.com. 5 In general, we aim to target a tracking error no greater than 100bps. We think this is reasonable for a portfolio where currency exposure is fully hedged and less than 5% of the portfolio benchmark is in bonds with ratings below investment grade. Recommendations The GFIS Recommended Portfolio Vs. The Custom Benchmark Index Duration Regional Allocation Spread Product Tactical Trades Yields & Returns Global Bond Yields Historical Returns
The GAA DM Equity Country Allocation model is updated as of June 29, 2018. The model has reduced weights in Italy, the U.S., the Netherlands and France to beef up weights in Spain, Australia, Canada, Switzerland and Germany. After these adjustments, Australia is now upgraded to overweight from neutral and Italy is downgraded to neutral from overweight, as shown in Table 1. Table 1Model Allocation Vs. Benchmark Weights As shown in Table 2 and Chart 1, Chart 2 and Chart 3, the overall model outperformed its benchmark by 34 bps in June, largely driven by the Level 2 model which outperformed its benchmark by 87 bps. The Level 1 model performed in line with its benchmark in June. Since going live, Level 2 and Level 1 have outperformed their respective benchmarks by 171 bps and 5bps, resulting in overall model outperformance of 47 bps. Table 2Performance (Total Returns In USD %) Chart 1GAA DM Model Vs. MSCI World Chart 2GAA U.S. Vs. Non U.S. Model (Level 1) Chart 3GAA Non U.S. Model (Level 2) Please see also the website http://gaa.bcaresearch.com/trades/allocation_performance. For more details on the models, please see Special Report, "Global Equity Allocation: Introducing The Developed Markets Country Allocation Model," dated January 29, 2016, available at https://gaa.bcaresearch.com. Please note that the overall country and sector recommendations published in our Monthly Portfolio Update and Quarterly Portfolio Outlook use the results of these quantitative models as one input, but do not stick slavishly to them. We believe that models are a useful check, but structural changes and unquantifiable factors need to be considered too in making overall recommendations. GAA Equity Sector Selection Model The GAA Equity Sector Selection Mode (Chart 4) is updated as of June 30, 2018. Chart 4Overall Model Performance Table 3Allocations Table 4Performance Since Going Live Following our Quarterly Update that was released yesterday, the model corroborates the defensive stance with an aggregate underweight of 5.8% in cyclical sectors. The switch to a defensive mode was driven by a weaker growth outlook. The upgraded sectors were consumer staples and health care. Additionally, the model has turned more negative on the two largest sectors - financials and technology. Resources-based sectors remain unattractive on the back of weaker growth outlook. For more details on the model, please see the Special Report "Introducing The GAA Equity Sector Selection Model," dated July 27, 2016, available at https://gaa.bcaresearch.com.
Highlights Global Growth: The divergence between strong U.S. and weak non-U.S. growth will increase in the coming months and culminate in wider credit spreads. The Fed's reaction to wider credit spreads will determine how Treasuries perform. High-Yield: High-Yield bonds will deliver excess returns in line with the historical average as long as default losses occur at close to historically low levels. This points to an unfavorable risk/reward balance in junk. Credit Curve: Investors should maintain a below-benchmark duration bias in their overall bond portfolios, but should lengthen maturities within their corporate bond allocations as much as possible while also maintaining a balanced or slightly up-in-quality allocation across credit tiers. Feature Chart 1Growth Divergence Redux Two factors influenced our recent decision to reduce the recommended exposure to credit risk in our U.S. bond portfolio.1 First, our indicators show that we are in the late stages of the credit cycle, meaning that small positive excess returns are the best case scenario for corporate bonds. Second, a large divergence in growth has emerged between the United States and the rest of the world, much like in 2014/15 (Chart 1). As was the case in 2014/15, such a divergence will put upward pressure on the U.S. dollar and eventually lead to a period of turmoil in U.S. risk assets - i.e. wider credit spreads and lower equity prices. Whether this turmoil translates into a playable rally in U.S. Treasuries will depend on how the Fed responds. First Spreads, Then (Maybe) Yields Chart 2The 2015 Template Using the 2015 episode as a template, we see that credit spreads widened sharply beginning in mid-2015. But despite the risk-off sentiment in credit markets, Treasury yields stayed roughly flat (Chart 2). This should not be too surprising. Since the weakness in global growth was concentrated outside the United States and a significant proportion of corporate profits are driven by foreign demand, a non-U.S. growth shock will have a more immediate impact on the U.S. corporate sector than it will on overall U.S. aggregate demand. Most of the latter is driven by the U.S. consumer who actually stands to benefit from a stronger dollar. Treasury yields and the Federal Reserve take their cues from overall GDP growth, not corporate profits. In fact, we contend that the 2015 widening in credit spreads was exacerbated by the fact that the Fed maintained its focus on overall U.S. growth and continued to signal a relatively steady pace of rate hikes. Spreads widened even further as the notion that the Fed would not bail out corporate bond investors took hold. Eventually, credit spreads widened enough by early 2016 that the Fed was forced to conclude that tighter financial conditions weighed significantly on the growth outlook. It then signaled a slower pace for rate hikes (Chart 2, panel 2), and only then did Treasury yields fall (Chart 2, bottom panel). The Fed's retreat also marked the peak in corporate bond spreads. We envision a similar pattern playing out this time around. Weaker foreign growth will first impact corporate credit, and eventually financial conditions may tighten so much that the Fed is forced to back away from its "gradual" 25 bps per quarter rate hike pace. However, with inflation much closer to target than in 2015, the Fed will be more reluctant to respond. A Less Responsive Fed Our Fed Monitor shows why this is the case (Chart 3). The Monitor is composed of indicators related to economic growth, inflation and financial conditions. It is designed so that a reading above zero signals that the Fed should be hiking rates and a reading below zero signals that it should be cutting. If we consider the three components of the Fed Monitor individually, it is clear that we have recently seen a fairly substantial tightening of financial conditions (Chart 3, bottom panel), but this has barely made a dent in the overall Monitor. The reason is that the components related to economic growth and inflation are on solid footing, and they are offsetting the message from the financial conditions component. In other words, with the output gap much narrower and inflation much closer to target than in 2015, the Fed will need to see more market pain before putting rate hikes on hold. Even if financial conditions tighten so much that a pause in rate hikes is justified, it is highly unlikely that such a delay will last for more than a quarter or two. The end result could be that Treasury yields see only limited downside, even as credit spreads widen. Chart 3Fed Can Tolerate More Market Pain China To The Rescue? Another possibility is that we never even reach the point of significant market turmoil and much tighter financial conditions. Non-U.S. growth might recover in the months ahead, ushering in a renewed synchronized global recovery that prevents corporate bond spreads from widening. The most likely driver of such a revival would be significant policy easing from China that puts a floor under global growth before U.S. financial markets feel much pain. Chart 4 shows that China did ease monetary conditions dramatically in 2015 as U.S. credit spreads widened. That easing was achieved through a combination of lower real interest rates, stronger credit growth and a weaker exchange rate. The evidence also suggests that Chinese authorities have started to devalue the renminbi in recent weeks, but so far the weakness is limited and overall monetary conditions have not eased at all. If China is attempting to spur a rebound in global growth, a lot more easing will be required in the coming months and it is not at all obvious that policymakers are willing to go down that path.2 If China does engage in a significant currency devaluation, it will obviously increase the foreign demand for U.S. Treasuries. However, in general, we think that foreign demand will exert less downward pressure on U.S. Treasury yields than it did during the 2014/15 period. This has less to do with Chinese official demand than with the simple fact that U.S. government bonds are now a much less attractive investment vehicle for conventional non-U.S. fixed income investors. After we account for the cost of currency hedging on a 3-month horizon, a typical European investor who wants to gain exposure to the U.S. bond market without taking currency risk is faced with a lower realized yield from a 10-year U.S. Treasury note than from a 10-year German bund (Chart 5). This was not the case at all in 2014/15 when hedged U.S. yields offered a huge advantage over bunds. Japanese investors are faced with a similar quandary. The 10-year U.S. Treasury yield hedged into yen still looks attractive relative to a 10-year JGB, but the yield advantage is nowhere near the levels seen in 2014/15 (Chart 5, panel 3). Chart 4Policy Easing In China? Chart 5Less Foreign Demand For USTs U.S. bonds are much less enticing for foreign investors on a currency hedged basis because the Fed has raised rates seven times since 2015, while European and Japanese interest rates are still at the floor. This large rate divergence means that investors must pay a lot more to swap foreign currency for dollars. Essentially, foreign investors are faced with an unpalatable choice. They can gain access to elevated un-hedged U.S. Treasury yields only if they are willing to take on the substantial currency risk. If not, then they are better off keeping their money at home. The end result should be less foreign demand for U.S. bonds. Bottom Line: The divergence between strong U.S. and weak non-U.S. growth will increase in the coming months and culminate in wider credit spreads. The Fed's reaction to wider credit spreads will determine how Treasuries perform. High-Yield: The Good News Is Priced In Our measure of the excess spread available in the High-Yield index after accounting for default losses has recently widened to 260 bps, slightly above its long-run historical average (Chart 6). This tells us that if default losses during the next 12 months are in line with our expectations, we should expect excess high-yield returns of 260 bps over duration-matched Treasuries, assuming also that there are no capital gains/losses from spread tightening/widening. While the default-adjusted spread suggests that junk bonds are fairly valued relative to history, it's important to also consider the balance of risks surrounding our default loss assumptions. To calculate the default-adjusted spread we start with the Moody's baseline default rate projection for the next 12 months. It is currently 1.99% (Chart 6, panel 2). Then, we project the recovery rate based on its historical relationship with the default rate. This gives us a forecasted recovery rate of 48% (Chart 6, panel 3). Combined, the forecasted default rate and recovery rate give us expected high-yield default losses of 1.03% for the next 12 months (Chart 6, bottom panel). The only historical period to show significantly lower default losses was 2007, a time when non-financial corporate balance sheets were in much better shape than they are today. This is not to suggest that our default forecasts are unrealistically low. The economic and corporate landscape is consistent with a relatively low default rate. But that outlook can change quickly, and the historical record shows that the risk that we are underestimating future default losses is far greater than the risk that we are overestimating them. Gross non-financial corporate leverage is highly correlated with the default rate over time (Chart 7, top panel). It has flattened off during the past few quarters, but is likely to rise modestly in the second half of the year. As we have discussed in prior reports, corporate revenue growth is elevated but close to peaking, and labor costs are just now starting to ramp up. Even a small moderation in profit growth will be enough for leverage to start moving higher.3 Chart 6High-Yield Expected Returns Chart 7Macro Drivers Of The Default Rate Interest coverage is also still consistent with a low default rate (Chart 7, panel 2). But the combination of peaking profit growth and rising interest rates clearly biases it lower going forward. Other indicators that correlate strongly with corporate defaults, such as layoff announcements and C&I lending standards, also remain supportive for the time being (Chart 7, bottom 2 panels). Bottom Line: High-Yield bonds will deliver excess returns in line with the historical average as long as default losses occur at close to historically low levels. This points to an unfavorable risk/reward balance in junk. Considering The Credit Curve Two weeks ago we examined the risk/reward proposition of moving down in quality within an allocation to investment grade corporate bonds.4 We concluded that a move down the rating scale has a greater positive impact on risk-adjusted portfolio performance when excess return volatility and index duration-times-spread (DTS) are low. With index DTS currently elevated, now is not the best time to move down-in-quality. This week we perform a similar analysis using the maturity buckets of the investment grade corporate bond index. Charts 8-11 show four excess return Bond Maps. The horizontal axes of these maps show the number of months of average spread widening required for each maturity bucket to underperform duration-matched Treasuries by the return threshold indicated in the chart's title. Buckets plotting further to the left require more months of spread widening, and are thus less risky. Chart 8Investment Grade Corporate Excess Return ##br##Bond Map: +/- 50 BPs Threshold Chart 9Investment Grade Corporate Excess Return ##br##Bond Map: +/- 100 BPs Threshold Chart 10Investment Grade Corporate Excess Return##br## Bond Map: +/- 200 BPs Threshold Chart 11Investment Grade Corporate Excess Return ##br##Bond Map: +/- 300 BPs Threshold The vertical axes of the maps show the number of months of average spread tightening required for each maturity bucket to outperform duration-matched Treasuries by the return threshold indicated in the chart's title. Buckets plotting closer to the top require fewer months of spread tightening, and thus provide greater potential reward. Much like what we found with the different credit tiers, the maturity buckets tend to cluster together when we set a low return threshold. The risk/reward trade-off becomes more linear as the return threshold increases. We can therefore conclude that shorter maturities offer similar return potential to longer maturities when return volatility is low, along with less risk. The risk-adjusted advantage in low maturity buckets disappears as we transition into higher volatility environments. At the moment, average index DTS is elevated compared to other non-recession periods. There is no obvious advantage to maintaining a bias toward the short maturity buckets. Fundamental Drivers In addition to the risk/reward trade-offs shown in our Bond Maps, we also identify two fundamental drivers of relative performance across the corporate maturity spectrum. First, we notice that while long maturities offer a substantial spread advantage over short maturities, the advantage is entirely driven by differences in duration (Chart 12). Logically, if the duration difference between the short and long ends of the curve were to decline, then the option-adjusted spread term structure would flatten. In fact, this is exactly what should transpire as Treasury yields rise (Chart 12, bottom panel). The second factor that can influence the credit spread curve is the outlook for default losses. Short-maturity spreads widen more than long-maturity spreads when default losses increase. This is because only the highest quality firms are able to issue long maturity debt. Chart 13 shows that, after controlling for differences in duration, the credit spread curve is inversely correlated with default losses. Higher default losses coincide with a flatter spread curve, and vice-versa. A model of the credit spread curve (duration-adjusted) versus expected default losses shows that the curve is currently fairly valued relative to our optimistic default loss assumptions (Chart 13, bottom panel). In other words, if default losses were to surprise to the upside, then the credit spread curve would appear too steep. Chart 12IG Term Structure Is Steep Chart 13Rising Defaults Flatten The Spread Curve All in all, our outlook for higher Treasury yields and the negative balance of risks surrounding our default loss forecast both suggest that investors should favor the long-end of the maturity spectrum within an allocation to investment grade corporate bonds. Bottom Line: Investors should maintain a below-benchmark duration bias in their overall bond portfolios, but should lengthen maturities within their corporate bond allocations as much as possible while also maintaining a balanced or slightly up-in-quality allocation across credit tiers. Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com 1 Please see U.S. Bond Strategy Special Report, "Go To Neutral On Spread Product", dated June 26, 2018, available at usbs.bcaresearch.com 2 Please see China Investment Strategy Weekly Report, "Now What?", dated June 27, 2018, available at cis.bcaresearch.com 3 Please see U.S. Bond Strategy Special Report, "Go To Neutral On Spread Product", dated June 26, 2018, available at usbs.bcaresearch.com 4 Please see U.S. Bond Strategy Weekly Report, "Rigidly Defined Areas Of Doubt And Uncertainty", dated June 19, 2018, available at usbs.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification
Highlights May's soft durable goods orders report is probably not a precursor of weaker capex. Despite shortages of inventory and rising rates, housing should add to GDP growth this year and next, and keep economic growth well above its long-term potential. BCA's Commodity & Energy Strategy service notes that oil markets are becoming increasingly concerned about possible supply disruptions. Oil price volatility is set to rise. Feature Despite a late-week rally, U.S. equities finished the week lower as investors worried about global trade, higher oil prices, and an economic slowdown in China. 10-Year Treasury yields fell even as inflation returned to the Fed's target. The trade-weighted dollar moved higher last week, and rose 5% in the second quarter. Last week's economic data skewed to the softer side of expectations, but despite the recent run of disappointing data, Q2 GDP growth is still tracking well above 3.0%. Chart 1Core Inflation Is At The Fed's Target Supply bottlenecks are a hallmark of late-cycle economic expansions. In recent months, the Fed's Beige Book identified supply shortages in the labor and product markets in the U.S.1 Many of these economic pinch points are in the energy sector, where businesses are running out of labor, rail and trucking capacity, and in some cases, roads.2 Capacity constraints are also an issue in the overseas oil markets and will lead to increased volatility. Moreover, there are signs that a growing scarcity of some raw materials may be affecting overall business capital spending in the U.S. Low inventories of new and existing homes for sale are factors in the soft activity in the housing sector. The tighter labor and product markets are pushing up U.S. inflation. At 1.96% year-over-year, the May reading on core PCE, the Fed's preferred measure of inflation, is near a cycle high and has returned to the central bank's target (Chart 1). Moreover, there were a record number of inflation words in the Fed's latest Beige Book. In the past, increased remarks about inflation have led measured inflation by a few months, suggesting that the CPI and core PCE may still climb.3 Fed policymakers have signaled that they will not mind an overshoot of the 2% inflation target. However, with core PCE inflation at 2% and the unemployment rate well below the Fed's estimate of full employment, the FOMC will be slower to defend the stock market in the event of a swoon. Bottom Line: Product and labor markets continue to tighten and push inflation higher, raising the odds that the central bank will take a more aggressive stance in the next 12 months. Last week,4 we downgraded our 12-month recommendation on global equities and credit from overweight to neutral. Capital Spending Update Business capital spending remains upbeat, but may be near a peak. Core durable goods orders dipped by 0.2% m/m in May. The monthly data can be unreliable and it is more useful to look at the year-over-year rates of change. But even here, there is a softening trend. From a recent high of 12.9% y/y, the annual growth rate in core durable goods orders has slowed to 6.6% y/y. Nonetheless, we do not believe that a major down-cycle in U.S. capex has started. The regional Fed surveys of investment intentions remain at lofty levels (Chart 2, panel 2). In addition, managements' attitudes toward capital spending are still upbeat, according to the latest surveys from Duke University, the Conference Board and the Business Roundtable. However, there was a slight downtick in the Business Roundtable metric in Q2 because of the uncertainty surrounding tariffs (Chart 2, panel 1). Moreover, in his post FOMC meeting press conference last month, Fed Chair Powell noted that companies may be delaying decisions on investment spending due to uncertainty around trade policy.5 A tight labor market and accelerating wages mean that firms should look for ways to boost output through productivity-enhancing capex. Furthermore, the 2017 Tax Cuts and Jobs Act allowed for accelerated depreciation, which increased the immediate tax incentive for investment spending. Chart 3 illustrates that through Q1 2018, corporate outlays for dividends ran slightly ahead of previous cycles, while capex and buybacks were about average. BCA will continue to monitor this mix. The lack of business spending on share repurchases is surprising given the spike in buyback announcements in the wake of the tax legislation. (Chart 4, panel 1). However, the bottom panel of Chart 4 indicates that net equity withdrawal is muted and in a downtrend despite the elevated buyback announcements. Chart 2Capex Indicators Still Solid... Chart 3Comparison Of Corporate Outlays Across Four Economic Expansion Phases The positive reading on BCA's Capital Structure Preference Indicator supports our stance that buybacks will add to EPS growth this year (Chart 5, second panel). This indicator is defined as the equity risk premium minus the default-adjusted yield in high-yield corporate bonds. When the indicator is above zero, there is a financial incentive for firms to issue debt and buy back shares. Conversely, firms are incentivized to issue stock and retire debt when the indicator is below zero. The indicator is currently positive, although not as high as it was in 2015. Chart 4Still Some Room To Run For Buybacks Chart 5Buybacks Adding To EPS Growth Bottom Line: May's soft durable goods orders report is probably not a precursor of weaker capex. Corporate managers will look to escalate productivity via capital spending in the next few years as an offset to tight labor markets and scarce resources. The upswing in capital spending is another sign that the U.S. economy is in the late stages of the business cycle.6 Housing Slack Still On Decline The latest soundings on home construction and sales show that inventories of new and existing homes are close to record lows (Chart 6, panel 1 and 2) and that homeownership rates are in a clear uptrend albeit at near historical lows (panel 3), boosted by the tight labor market and rising incomes (panel 4). Most indicators show that the housing market continues to grow along the typical path of the classic boom/bust residential real estate cycle (Chart 7). As such, we expect residential investment will add to GDP growth this year and support housing-related investments. Chart 6Housing Fundamentals##BR##Are Stout Chart 7Still Plenty Of Gas Left##BR##In The Tank For Housing Even so, our past work7 indicated that housing reached a zenith several quarters before other sectors of the economy. BCA's view is that the 10-year treasury rate will peak at 3.80%.8 Nonetheless, housing affordability remains well above average and will be supportive of housing investment even if rates climb by 100 bps (Chart 8). Furthermore, mortgage payments as a share of median income will stay below average if rates escalate by 100 or even 200 bps (panel 2). However, a 200 bp increase in mortgage rates, admittedly an extreme scenario, would crimp housing affordability and nudge the mortgage payment as a share of median income above its long-term average (panels 1 and 2). Homebuilders' costs are rising. The Beige Books released this year pointed out that homebuilders face fierce competition for labor and input costs are rising. In addition, the Beige Book notes slow sales are due to a lack of inventory in some regions of the U.S.9 The implication is that home prices may rise if homebuilders pass on the higher labor and material costs to buyers. There is a shortage of demand for mortgage loans, despite the favorable lending conditions (Chart 9). In addition, first-time homebuyers, a key source of demand for existing homes, has turned from a tailwind to a modest headwind in recent years (Chart 10). Chart 8Housing Affordability Under##BR##Various Rate Assumptions Chart 9Easy To Get A Mortgage,##BR##But Mortgage Demand Is Softening Chart 10Is First Time Homebuyers##BR##Support For Housing Waning? Bottom Line: The housing market remains in an uptrend. A shortage of inventory may be hurting sales, but rising rates are not a threat to affordability. Rising costs for labor and raw materials may cut into homebuilder profits and a recent downshift in first-time homebuyers is a concern. Nonetheless, housing should add to GDP growth this year and next, and keep economic growth well above its long-term potential. In late May, BCA's U.S. Equity Strategy team upgraded the S&P 500 homebuilders industry group to neutral from underweight, citing lower bond yields, solid homebuilder fundamentals and compelling valuations.10 From a macro perspective, we will continue to closely monitor residential investment as we assess the onset of the next recession. Protect Or Defend? BCA's Protector Portfolio does not protect in sideways equity markets. In last week's report,11 we identified 10 periods since 1950 when the S&P 500 equity markets moved sideways for at least 5 months in a narrow range. Table 1 shows the performance of our Defensive and Protector Portfolios12 when U.S. equities are range bound. Our analysis is constrained by data limitations. Table 1S&P Defensives And BCA Protector Portfolios In Sideways Equity Markets On average, investors have been better off in the S&P 500 than in our Protector Portfolio during sideways phases that have occurred since 1986. Our portfolio outperformed the S&P 500 in only one (2004) of the seven sideways periods. On average, the S&P 500 returned 22% while the Protector Portfolio posted a 2.8% decline. Moreover, the portfolio lost value in the 1988 and 2015 sideways episodes (Chart 11A). Chart 11AS&P Defensives In##BR##Sideways Equity Markets Chart 11BBCA's Protector Portfolio In##BR##Sideways Equity Markets On the other hand, our Defensive Portfolio outperformed both the S&P 500 and the Protector Portfolio during the three sideways periods since its inception in 1995 (Chart 11B). Consistent with our shift in broad asset allocation this month, we have adjusted our global equity sector allocation to be more defensive. Materials and Industrials were downgraded to underweight, while Healthcare and Telecoms were upgraded (Consumer Staples was already overweight). Financials was downgraded to benchmark because the flattening term structure is expected to pressure net interest margins.13 Bottom Line: BCA's Protector Portfolio has underperformed the S&P 500 and defensive equities in sideways periods for U.S. equities. We recommend that investors put the proceeds from the sale of equity positions into cash. Nonetheless, investors seeking protection against a potential equity market sell-off should look to our Protector Portfolio over defensive-sector positioning. We do not currently recommend these portfolios for all clients, but we may do so if our key sell-off triggers are breached. If macro developments evolve as expected, then we will shift to an outright bearish stance on risk assets later this year or early 2019 in anticipation of a global recession in 2020. Absent a recession, we would move to underweight stocks if a wider trade war develops. Conversely, we would consider temporarily shifting our 12-month recommendation back to overweight if global equities sell-off by more than 15% in the next few months. This would be the case if our economic indicators remain constructive and the Fed either cuts rates or signals that it is on hold. Signs Of Stress In Oil West Texas Intermediate (WTI) oil futures hit a fresh 4-year high last week, despite OPEC 2.0's decision to pump more oil. BCA's Commodity & Energy Strategy service notes that oil markets are becoming increasingly concerned about possible supply disruptions.14 BCA's view is that the Kingdom of Saudi Arabia (KSA) and the core members of OPEC 2.0 - i.e. the seven states in the 24-state coalition that actually can increase production - are attempting to get ahead of an almost certain tightening of the global oil market. Our base case is that OPEC 2.0's core states will front-load their production increase with approx. 800k b/d added to the market in 2H18 and just over 210k b/d in 1H19.15 This will lift the core's total output by about 1.1mm b/d by the end of 1H19 versus 1H18. The increased output from core OPEC 2.0 is, however, offset by losses in the rest of OPEC 2.0 of approx. 530k b/d in 2H18 and just under 640k b/d in 1H19. This leaves OPEC 2.0's net output up by about 275k b/d in 2H18 and down by about 430k b/d in 1H19 compared with 1H18 levels (Chart 12). We keep demand growth at 1.7mm b/d in 2018 and 2019. Our oil strategists' base case is augmented with three possible scenarios: Venezuela's production collapses to 250k b/d from its current 1.3mm b/d, which would allow it to support the demand for domestically refined product and nothing more; A reduction in our forecasted increase in U.S. shale production arising from pipeline bottlenecks; and Both of these two scenarios occur simultaneously between October 2018 and September 2019. Chart 13 illustrates that our revised "ensemble" forecast, an average of the scenarios noted above, for 2H18 Brent stands at $70/bbl, versus $76/bbl last month, reflecting the front-loaded increase in OPEC 2.0 production The global benchmark will likely return to $77/bbl next year, against our previous expectation of $73/bbl. We continue to expect WTI to trade $6/bbl under Brent during the next 18 months. Chart 12OPEC 2.0's Core's Production Increase##BR##Offset By Non-Core Losses Chart 13Updated Ensemble Forecast Reflects##BR##Venezuela Deterioration, Shale Bottlenecks Elevated oil price volatility is a headwind for risk assets. The instability in crude oil markets will continue for the next 18 months, particularly if unplanned outages continue to occur. We identified seven prior periods of increasing oil price volatility. Chart 14 shows that three of these episodes of higher realized oil uncertainty occurred after the economy reached full employment (1998, 2001 and 2008). Two overlapped with recessions (2001 and 2008). Another three coincided with the Russian default crisis of 1998, the accounting scandals and Iraq war in 2002/2003, the U.S. debt downgrade, Arab Spring, the European debt crisis in 2011, and the China-led manufacturing slowdown in 2015. All of these events, at the margin directly or indirectly, affected oil supply demand or both. Because these were shocks of one sort or another-financial, geopolitical or economic-they raised markets' perceptions of risk on the upside and downside for oil prices. Chart 14Risk Assets During Oil Market Volatility Risk assets underperformed, other than in the 2002-2003 period of heightened oil market fluctuations associated with the General Strike in Venezuela, which took that country's production to zero for a brief period. The dollar fell in the first three phases of oil price volatility in Chart 14, but increased in the past four. Higher oil volatility tends to coincide with falling oil prices, but a price shock that lifts prices also can accompany higher volatility. Bottom Line: BCA's Commodity & Energy Strategy team notes that oil supply outages are mounting and will lead to more turbulence. Moreover, risk assets tend to underperform as oil volatility escalates. We are neutral on the energy sector. John Canally, CFA, Senior Vice President U.S. Investment Strategy johnc@bcaresearch.com Robert P. Ryan, Senior Vice President Commodity & Energy Strategy rryan@bcaresearch.com Hugo Bélanger, Senior Analyst Commodity & Energy Strategy HugoB@bcaresearch.com 1 Please see BCA Research's U.S. Investment Strategy Weekly Report titled "Cleanup On Aisle Two", published June 4, 2018. Available at usis.bcaresearch.com. 2 Please see BCA Research's Energy Sector Strategy Weekly Report "Permian Pipeline Constraints Pose Risks To 2019 Shale Production Growth", published June 13, 2018. Available at nrg.bcaresearch.com. 3 Please see BCA Research's U.S. Investment Strategy Weekly Report titled "Cleanup On Aisle Two", published June 4, 2018. Available at usis.bcaresearch.com. 4 Please see BCA Research's U.S. Investment Strategy Weekly Report titled "Sideways", published June 25, 2018. Available at usis.bcaresearch.com. 5 https://www.federalreserve.gov/mediacenter/files/FOMCpresconf20180613.pdf 6 Please see BCA Research's U.S. Investment Strategy Weekly Report, "The Late Cycle View," published October 16, 2017. Available at usis.bcaresearch.com. 7 Please see BCA Research's U.S. Investment Strategy Weekly Report, "Tightening Up", published May 14, 2018. Available at usis.bcaresearch.com. 8 Please see BCA Research's U.S. Bond Strategy Weekly Report, "Bond Bear Still In Tact," published June 5, 2018. Available at usbs.bcaresearch.com. 9 https://www.federalreserve.gov/monetarypolicy/beigebook201805.htm 10 Please see BCA Research's U.S. Equity Strategy Weekly Report "Seeing The Light", published May 29, 2018. Available at uses.bcaresearch.com. 11 Please see BCA Research's U.S. Investment Strategy Weekly Report "Sideways", published June 25, 2018. Available at usis.bcaresearch.com. 12 Please see BCA Research's U.S. Investment Strategy Weekly Report "A Golden Opportunity", published March 5, 2018. Available at usis.bcaresearch.com. 13 Please see BCA Research's Bank Credit Analyst Monthly Report "July 2018", published June 28, 2018. Available at bca.bcaresearch.com. 14 Please see BCA Research's Commodity & Energy Strategy Weekly Report " OPEC 2.0 Scrambles To Reassure Markets", published June 28, 2018. Available at ces.bcaresearch.com. 15 OPEC 2.0 is the coalition led by Saudi Arabia (KSA) and Russia. This past week it agreed to boost production by 1mm b/d beginning in July. The core consists of KSA, Russia, Iraq, UAE, Kuwait, Oman and Qatar.
While copper prices remain comfortably within the $2.90 to $3.30/lb range they've occupied this year, the rising threat of a Sino - U.S. trade war spilling into the global trading system, along with slowing credit and monetary stimulus in China, will continue to roil copper markets. Refined copper prices - like most commodities - are highly sensitive to the level of world copper demand and EM imports, particularly out of Asia, which are closely tied to income. EM income growth is expected to remain strong; however, a global trade war, or a significant slowing in trade that reduces investment in EM markets and stymies income growth will be bearish for copper prices. Highlights Energy: Overweight. Going into tomorrow's OPEC 2.0 meeting in Vienna, the Kingdom of Saudi Arabia (KSA) and Russia apparently were divided on how much crude oil production needed to be restored to the market. Increases of as little as 300k to 600k b/d and as much as 1.5mm b/d are flying around the market in the lead-up to the meeting.1 Meanwhile, China threatened to impose tariffs on oil imports from the U.S. if President Trump goes ahead with additional tariffs. The increased Sino - American acrimony on trade issues raises the likelihood China will significantly increase oil imports from Iran, in our estimation, which will exacerbate tensions even further. Base Metals: Neutral. Copper treatment and refining charges (TC/RCs) soared at the end of last week following the closure of India's largest smelter. The Metal Bulletin TC/RC index went to an average of $85/MT at the end of last week, up from $82.25/MT. The pricing service also reported China's primary copper-smelting capacity is lower in June due to environmental constraints. Precious Metals: Neutral. Gold prices dropped below $1,300/oz following the FOMC meeting last week, as Fed officials - e.g., Dallas Fed President Robert Kaplan - nodded toward a fourth rate hike this year, even though his base case remained at three. Ags/Softs: Underweight. Grains and beans are down as much as 10% in the past week, on the back of additional tariffs announced by the Trump administration - 10% on $200 billion worth of Chinese imports. The new tariffs were a retaliatory move by the administration, and represent an escalation of tit-for-tat measures by both sides. Feature Chart of the WeekMajor Drivers of Copper Prices Still Supportive Rising EM incomes and expanding world trade volumes, particularly EM imports, have supported base metals prices for the past two years. This was partly aided by expansionary fiscal and monetary policy in China, the world's largest base-metals market, in 2016, which reversed overly restrictive monetary and fiscal policy in the two years prior. For the most part, these supportive underpinnings are still in place for EM commodity growth over the next two years (Chart of the Week). However, their stability increasingly is being threatened by rising Sino - American trade tensions, and the limited room for credit and fiscal expansion in China.2 Global Copper Demand And Trade In its most recent update of global growth, the World Bank is expecting the rate of growth globally to level off this year and next. However, the Bank expects income growth in EM and developing economies - the growth engines of commodity demand - to go from 4.3% last year to 4.5% this year, and 4.7% next year. EM growth will be dominated by South Asia (Chart 2).3 EM GDP growth is of particular importance to commodity markets, since this constitutes the bulk of commodity demand growth generally, particularly in base metals and oil. For the largest EM economies, the income elasticity of demand for copper is 0.70, meaning a 1% increase in income leads to a 0.70% increase in copper consumption. The Bank notes, "The seven largest emerging markets (EM7) accounted for almost all the increase in global consumption of metals, and two-thirds of the increase in energy consumption" over the past 20 years.4 In what the Bank refers to as Low Income Countries (LICs) - a grouping of smaller economies loaded with commodity producers - GDP is expected to grow 6% p.a. on average over the 2018 - 2020 period. Chart 2World Bank Expects Solid EM Growth EM GDP growth fuels copper demand. Since 2000, a 1% increase in global copper consumption ex-China translates into an almost 2% increase in high-grade refined copper prices, based on results of our modeling. When we replace ex-China demand with China, we see a 1% increase in China's consumption translates into a 0.75% increase in high-grade copper prices over the 2000 - 2018 interval. China's growth is expected to slow going forward, in the wake of a managed slowdown, and due to the fact that, as its economy evolves, more of its growth will come from services and consumer demand, which are less commodity intensive. GDP growth also fuels trade, and vice versa. The Bank estimates the income elasticity of trade averaged 1.5% from 2000 - 07, and 1.2% from 2010 - 17, meaning a 1% increase in income has led to a roughly 1.4% growth in trade over this period. In our modeling, we've found a 1% increase in EM trade volumes translates into a 1.3% increase in high-grade copper prices, an elasticity in line with post-GFC trade growth. The other key variable in our modeling is the broad trade-weighted USD, which remains a highly important variable for copper prices. In both our global copper-demand and EM import volume models for copper prices, the level of the USD is an important explanatory variable - a 1% increase (decrease) in the USD TWIB translates into ~ 3% decrease (increase) in copper prices since 2000 in our estimates.5 Tight Credit Conditions In China Can Weigh On Copper ... We've been expecting China's managed slowdown in 2H18 to be offset by strong global demand, which, all else equal, would keep copper demand fairly stable.6 While we still do not expect a hard landing in China, the slowdown we've been expecting is showing up in weaker industrial production prints, disappointing retail sales in May, and most significantly, regulatory and liquidity tightening weighing on money and credit. Chinese demand makes up ~ 50% of global metal consumption, these markets would be especially vulnerable in the case of a significant slowdown. The fear of a more serious slump is founded on tighter financial conditions restricting capital spending, and GDP growth. Granger causality tests to determine the direction of causation between Chinese monetary variables and copper prices point to causality running from de-trended levels of all four measures of money and credit to copper prices (Table 1).7 Table 1Chinese Credit And Copper Prices: Evidence Of Causality Furthermore, y/y changes in copper prices are more highly correlated with monetary variables expressed in terms of de-trended levels, than with those same variables expressed as y/y growth rates, or impulses (Chart 3). Across the four credit and money measures, this expression yields an average correlation coefficient of 0.56, compared with 0.38 and 0.37 when expressed as y/y growth rates and impulses as a percent of GDP, respectively. Our modeling also indicates that it generally takes two to three quarters for the full effect of a change in China's credit conditions to be transmitted to copper markets. When we restrict the sample size to the period from 2010 to now we get similar results to our longer intervals (Chart 4). However monetary variables are more highly correlated with copper prices in the shorter sample. Chart 3Chinese Credit Leads Copper Prices By 3 Quarters... Chart 4...A Slightly Longer Lead Time Since 2010 Correlations in the period since 2010 average 0.61, 0.57, and 0.45 for the de-trended levels, y/y growth rates, and impulses, respectively. This can be put down to the fact that China's role as a demand market for copper has been steadily growing over this period. Given that between 2000 and 2017, China's share of global copper demand swelled from 12% to 50%, it is only natural that the impact of its domestic economy on global copper prices also increased (Chart 5). Furthermore, the time lag between Chinese monetary variables and copper markets in the more recent sample increased slightly, with money and credit variables leading prices by 9-10 months, compared to 6-8 months in the full sample. Chart 5China's Growing Role In Copper Markets Bottom Line: De-trended Chinese money and credit variables statistically cause, and are correlated with, y/y changes in copper prices. While these relationships have generally strengthened with China's growing role in the demand side of global copper markets, rolling correlations highlight that there are also extended periods of weak correlations, suggesting fundamental factors can overwhelm the impact of China's credit environment on global copper markets, as has been the case for the past two years. ...But Other Factors Can Take Over In estimating the effect of China's money and credit conditions on copper markets, we find that the relationship can be dominated by supply - demand fundamentals, and overall global macro conditions. More specifically, we find that in periods where DM equity markets outperform EM equity markets, the coefficients in our models with y/y copper prices as the dependent variable are on average 13% lower than the full sample period (Chart 6). Similarly, in periods where EM outperforms DM, the models' credit coefficients are on average 15% higher than the full sample period.8 Our modeling indicates the pre-2005 period as well as the post-2015 intervals as periods during which strong copper demand from growing DM economies weakened the long-term relationship between Chinese money and credit variables and copper prices. Given our expectation that DM demand will remain supportive, this will, to some extent, offset the negative implications of the deteriorating credit environment in China on copper demand and prices. Similarly, in periods characterized by backwardated copper markets, the magnitude of the impact of Chinese money and credit variables on copper prices is on average 35% lower than the full sample (Chart 7). On the other hand, when the copper market is in contango, the magnitude of the impact of Chinese financial variables is on average 13% higher than the full sample period. This highlights the importance of physical fundamentals, and the fact that in cases where they deviate from the direction of the Chinese credit environment - such as during a supply shock - the physical fundamentals weaken historical correlation relationships. Chart 6Credit-Copper Relationship Weakens When DM Outperforms EM ... Chart 7... And When Markets Are Backwardated To rank the top explanatory financial variables in terms of their effect on the evolution of copper prices, we estimated regression models with monetary variables, along with the broad trade-weighted U.S. dollar, and world excluding China copper demand as independent variables (Table 2). Table 2USD Usually Dominates Copper's Evolution The results, which can be interpreted as the y/y percentage point (pp) change in copper prices from a one y/y pp increase in each of the three explanatory variables, indicate that Chinese credit has a similar effect as a one y/y pp increase in world excluding China copper demand, a not-unexpected result, given the rest of the world accounts for 50% of demand. On the other hand, the USD has an outsized effect on the copper market. In our modeling, we've found that, in general, a one pp increase (decrease) in the broad trade-weighted USD translates into a one pp change in copper prices, using y/y models.9 Will Copper Vs. USD Correlations Return To Equilibrium? Our House view calls for a stronger USD going forward. Despite our expectation that DM demand will remain supportive, absent supply-side shocks, a stronger USD along with deteriorating credit conditions in China will weigh on copper prices.10 Ongoing trade disputes will only further bear down on the copper market. Stronger EM GDP growth and the associated increase in copper consumption and trade volumes will offset the strong-USD effects, but a trade war would undermine this support. A caveat to this conclusion is that while credit growth has been generally restrained, the Chinese government - fearful that its policy measures to date are spiraling out of control - may partially reverse its efforts and attempt some easing.11 Bottom Line: The impact of Chinese credit conditions on copper prices is weakened in periods where DM stock prices outperform EM, and when the copper forward curve is backwardated. In terms of the relative magnitude of the effect of China's credit conditions, we find that it has a similar sized effect as the rest of the world's copper demand on the red metal's price, while the USD has a relatively larger effect. This implies that a stronger USD, coupled with tighter financial conditions in China, will compete with expanding EM GDPs and trade growth going forward. Roukaya Ibrahim, Editor/Strategist Commodity & Energy Strategy RoukayaI@bcaresearch.com Robert P. Ryan, Senior Vice President Commodity & Energy Strategy rryan@bcaresearch.com 1 OPEC 2.0 is the name we've coined for the oil producer coalition lead by KSA and Russia. In November 2016, the coalition agreed to remove 1.8mm b/d of production. We estimate actual production cuts amount to 1.2mm b/d, while as much a 1.5mm b/d of production has been lost to depletion and a lack of maintenance drilling (e.g., infill and other forms of enhanced oil recovery). 2 Our colleague Peter Berezin, writing in this week's Global Investment Strategy, noting slowing industrial production, retail sales and fixed-asset investment, observes, China's "policy response has been fairly muted." Further, unlike 2015, when China stimulated its economy and lifted EM generally, this go-round, there is less room to maneuver owing to high debt levels and overcapacity. Please see BCA Research Global Investment Strategy Special Report "Three Policy Puts Go Kaput: Downgrade Global risk Assets To Neutral," dated June 20, 2018, available at gis.bcaresearch.com. 3 Please see "The Role of Major Emerging Markets in Global Commodity Demand" in the Bank's Global Economic Prospects, June 2018, beginning on p. 61. 4 The Bank's EM7 are Brazil, China, India, Indonesia, Mexico, the Russian Federation, and Turkey. They account for ~ 25% of global GDP, and some 60% of global metals consumption. The income elasticities of aluminum and zinc demand for this group are 0.80 and 0.30, respectively. Please see Table SF1.1 on p. 70 of the Bank's June report. 5 The R2 statistic measuring the goodness of fit between actual copper prices and the modeled prices is 94% for the copper-consumption model, and 96% for the EM trade model over the 2000 - 2018 interval. The USD TWIB was used as an explanatory variable in both models. 6 Please see BCA Research Commodity & Energy Strategy Weekly Report "China's Managed Slowdown Will Dampen Base Metals Demand," dated March 29, 2018, available at ces.bcaresearch.com. 7 Given that in levels, the money and credit variables display a deterministic upward trend, we removed the trend from the data in order to isolate the fluctuations around this trend. This de-trended series is what is significant to copper demand, and thus the evolution of copper prices. 8 We use a threshold OLS model to estimate the y/y model coefficients. The average change in the value of the coefficient is based on the coefficients in the models' outputs of the four money and credit measures. 9 The R2 statistics measuring the goodness of fit between actual y/y changes and those estimated in our models were ~63% in all four models. 10 We discussed this at length last week in BCA Research Commodity & Energy Strategy Weekly Report "Correlations Vs. USD Weaken," dated June 14, 2018, available at ces.bcaresearch.com. 11 Some preliminary signs of potential easing include (1) the PBOC's most recent monetary policy decision in which it did not follow the US Fed's interest rate decision by hiking rates, as it generally does, and (2) a reduction in the reserve requirement ratio. Investment Views and Themes Recommendations Strategic Recommendations Tactical Trades Commodity Prices and Plays Reference Table Insert table images here Trades Closed in
Highlights Fed: The Fed will not automatically slow the pace of rate hikes as the funds rate approaches current estimates of its neutral level. Rather, estimates of that neutral level will be revised depending on the outlook for the economy. For the time being investors should continue to expect a rate hike pace of 25 bps per quarter. Credit Cycle: For the time being both our monetary and credit quality indicators recommend an overweight allocation to corporate bonds. Inflation expectations are not yet anchored around the Fed's target, and gross leverage is trending sideways. Both of these measures will likely send a more negative signal later this year, and we will reduce exposure to corporate credit at that time. Emerging Market Debt: Despite the recent weakness in emerging market currencies, U.S. corporate credit still looks more attractive than USD-denominated emerging market sovereign debt. At the country level, only Russian debt warrants an overweight allocation relative to U.S. corporates. Feature The Federal Reserve meets this week and will deliver the second rate hike of the year, bringing the target range for the federal funds rate up to 1.75% - 2%. With that hike already fully discounted, investors will be more concerned with parsing the post-meeting statement, Summary of Economic Projections, and Chairman Powell's press conference for clues about the future path of rates. We expect only minor changes to the statement, though the Committee could decide to tweak its promise that "the federal funds rate is likely to remain, for some time, below levels that are expected to prevail in the longer run". Such a change would simply acknowledge that if gradual rate hikes continue, then the federal funds will move close to most estimates of its neutral (or equilibrium) level within the next 12 months. This touches on an important question for bond investors. Would the Fed actually start to slow the pace of rate hikes once the funds rate reaches its estimated neutral level? Or will it need to see some evidence of decelerating economic growth before slowing the pace of rate hikes below its current 25 bps per quarter pace? Chart 1 shows why this question is important. The shaded boxes in that chart outline a "gradual" rate hike path of 25 bps per quarter. The Fed has been lifting rates at this pace since late 2016. The "x" markings denote the median expected fed funds rate from the Fed's Survey of Primary Dealers, and the "F" markings denote the Fed's own median projections. Notice that there are two "F"s shown at the end of 2018. This is because an equal number of FOMC participants (6) expect a fed funds rate of 2% - 2.25% as expect one of 2.25% - 2.5%. We expect the median will coalesce around the 2.25% to 2.5% range by the end of tomorrow's meeting. Chart 1The Outlook For Rate Hikes Notice in Chart 1 that both primary dealers and the Fed expect to deviate from the quarterly rate hike pace around the middle of next year. This would be consistent with the pace of hikes starting to slow as the fed funds rate approaches its currently anticipated neutral level near 3%. But how confident is the Fed in its estimate of that neutral rate? We would argue that its confidence should be quite low. We are not alone in this assessment. In one of Janet Yellen's final speeches as Fed Chair she warned against placing too much confidence in estimates of the neutral rate.1 [T]he neutral rate changes over time as a result of the interaction of many forces, including demographics, productivity growth, fiscal policy, and the strength of global demand, so its value at any point in time cannot be estimated or projected with much precision. We expect that the current FOMC will heed this warning, and if there are no signs of economic deterioration by the middle of next year, then the Fed will continue to hike rates at a pace of 25 bps per quarter and estimates of the neutral rate will be revised higher. We examined what could potentially make the Fed deviate from its 25 bps per quarter rate hike pace, by hiking either more quickly or more slowly, in a recent report.2 Crucially, Chart 1 shows that not only is the market priced for the Fed to slow its pace of rate hikes as we reach the middle of next year, it is also priced for a slower pace of rate hikes than is expected by the Fed or the primary dealers. This divergence means that below-benchmark portfolio duration continues to make sense on a 6-12 month horizon. Bottom Line: The Fed will not automatically slow the pace of rate hikes as the funds rate approaches current estimates of its neutral level. Rather, estimates of that neutral level will be revised depending on the outlook for the economy. For the time being investors should continue to expect a rate hike pace of 25 bps per quarter. A Quick Update On Our Tactical Long Position On May 22 we advised clients with a short-term (0-3 month) horizon to position for lower U.S. bond yields in the near term.3 This call was premised on two catalysts. First, bond market positioning had become excessively net short. That picture now looks more mixed (Chart 2). Net speculative positions in 10-year Treasury futures remain deep in "net short" territory and the Marketvane survey of bond sentiment is still "bearish", but the JP Morgan Duration Surveys for both "all clients" and active clients" have moved somewhat closer to neutral. The second catalyst was that our auto-regressive model pointed to strong odds of a negative reading from the U.S. Economic Surprise Index during the next month (Chart 3). This remains the case, but the reading from our model has moved much closer to the zero line. Chart 2Positioning Now Closer To Neutral Chart 3Surprise Index Still Low Taken together, our two indicators no longer send a resounding "buy bonds" signal. But given the deeply net short Treasury futures positioning and the low level of the surprise index, we are inclined to maintain our tactical buy recommendation for another week. We will re-assess again next week based on trends in the surprise index and the positioning data. The Fed & The Credit Cycle The Powell Fed has so far not been kind to credit spreads. Since February our index of financial conditions has tightened considerably, driven by a combination of falling equity prices, wider quality spreads and a stronger dollar (Chart 4). Yet, the Fed seems relatively unconcerned and is broadly expected to lift rates this week. All in all, the Powell Fed seems less concerned with responding to tighter financial conditions than was the Yellen Fed. Chart 4How Much Pain Can The Fed Take? There is some truth to this observation, though we think the difference has more to do with recent trends in inflation than with any change in approach between the two Fed Chairs. As inflation pressures mount, the Fed is marginally less concerned with responding to weakness in financial markets and marginally more concerned with preventing an inflation overshoot. This is why we will reduce our allocation to corporate bonds once our monetary indicators tell us that inflation expectations are well anchored around the Fed's target. Monetary Indicators Long maturity TIPS breakeven inflation rates are the primary indicators we are monitoring in this regard. When both the 10-year and 5-year/5-year forward TIPS breakeven inflation rates reach a range between 2.3% and 2.5%, that will be consistent with past periods of well-anchored inflation expectations and we will start reducing exposure to corporate credit (Chart 5). But we should not rely solely on one indicator. It is conceivable that the financial crisis ushered in a structural shift (possibly due to stricter banking regulations) and that the level of TIPS breakevens consistent with well-anchored inflation expectations is now slightly lower.4 For this reason we also pay attention to the St. Louis Fed's Price Pressures Measure (Chart 5, bottom panel). This model is designed to output the percent chance that inflation will exceed 2.5% during the next 12 months, and we have found that corporate bond excess returns decline significantly when it exceeds 15%.5 It currently sits at 13%. Finally, it's also a good idea to pay attention to core PCE inflation itself. The year-over-year rate of change in core PCE inflation jumped sharply in recent months, but it has not yet returned to the Fed's 2% target (Chart 6). It is therefore still reasonable to expect that inflation expectations are not consistent with target inflation. It is likely that many investors still have doubts about whether inflation will recover to the Fed's target. Chart 5Credit Cycle: Monetary Indicators Chart 6The Fed's Inflation Model Those doubts would probably fade if the year-over-year rate of change in core PCE inflation actually rose to 2% and stayed there for several months. At that point we would have to conclude that inflation expectations are well anchored, whatever the level of TIPS breakeven rates. Incidentally, the recent bounce in core inflation brought it back in line with the reading from Janet Yellen's Phillips Curve model that she presented in a speech from 2015.6 In the context of this model, a continued decline in the unemployment rate will pressure inflation slowly higher, meaning that we expect to receive a signal from our monetary indicators sometime this year. We will pare exposure to corporate bonds at that time. It will be very interesting to hear from Chair Yellen herself when she visits the BCA Conference in September, and we hope to gain insight not only about her inflation forecast but also about how the Fed thinks about its responsiveness to financial markets, and most importantly, about how the Fed is likely to manage the tightening cycle as the funds rate approaches its estimate of neutral. Credit Quality Indicators Outside of Fed policy and the inflation outlook, we are also closely monitoring the relationship between profit growth and debt growth for the nonfinancial corporate sector. Leverage rises whenever debt growth exceeds profit growth and rising leverage tends to coincide with widening credit spreads (Chart 7). Nonfinancial corporate debt grew at an annualized rate of 4.4% in the first quarter, while pre-tax profits actually contracted at an annualized rate of 5.7%. As a result, our measure of gross leverage ticked higher from 6.9 to 7.1. More broadly, profits grew 5.8% in the four quarters ending in Q1 2018, only slightly faster than the 5.2% increase in corporate debt. This does not provide much of a buffer, and it will not take much to send profit growth below debt growth on a sustained basis. In fact, we expect that if labor compensation costs continue to accelerate we will see leverage start to rise more meaningfully in the second half of this year. Our overall Corporate Health Monitor improved noticeably in the first quarter (Chart 8). But this large move will almost certainly reverse in Q2. The improvement was concentrated in the components of the Monitor that use after-tax cash flows, and as such they were influenced by the sharp decline in the corporate tax rate. Profit margins, for example, increased from 25.8% to 26.4% on an after-tax basis in Q1 (Chart 8, panel 2), but would have fallen to 25.5% if the effective corporate tax rate had remained the same as in 2017 Q4. As the effective corporate tax rate levels-off around its new lower level (Chart 8, bottom panel), last quarter's improvement in the Corporate Health Monitor will start to unwind. Chart 7Leverage Is Poised To Head Higher Chart 8Tax Cuts Helped Balance Sheets In Q1 Bottom Line: For the time being both our monetary and credit quality indicators recommend an overweight allocation to corporate bonds. Inflation expectations are not yet anchored around the Fed's target, and gross leverage is trending sideways. Both of these measures will likely send a more negative signal later this year, and we will reduce exposure to corporate credit at that time. Still No Opportunity In Emerging Market Debt We pointed out in a recent report that a persistent divergence between U.S. and non-U.S. economic growth was the most likely catalyst that could cause the Fed to slow its pace of rate hikes.7 A divergence between strong U.S. growth and weaker growth in the rest of the world puts upward pressure on the U.S. dollar, and this is a particular problem for many emerging markets that carry large balances of U.S. dollar denominated debt. Our Emerging Markets Strategy service published a Special Report last week that explains in detail this particular problem faced by emerging markets and shows which countries face the most pressing debt concerns.8 For U.S. fixed income investors another important question is whether the recent strength in the U.S. dollar, and weakness in emerging market currencies, has resulted in an opportunity to shift out of U.S. corporate credit and into USD-denominated emerging market sovereign debt. On that note, Chart 9 shows that the average option-adjusted spread for the Baa-rated U.S. Corporate bond index recently dipped below the average spread for the investment grade USD Emerging Market (EM) Sovereign index. However, we think it is still too soon to move into emerging market debt. After adjusting for differences in duration and spread volatility between the two indexes, we come up with a measure of "Months-To-Breakeven". This indicator shows the number of months of spread widening required for each index to lose money relative to U.S. Treasuries. By this measure, U.S. Corporate bonds still look attractive compared to investment grade EM Sovereigns. At the country level, Chart 10 shows the 12-month breakeven spread for the USD-denominated sovereign debt of several major EM countries. It also shows each country's foreign funding requirement, a measure of the foreign capital inflows required in the next 12 months for each country to cover any shortfall in current account transactions and service its foreign currency debt. Chart 9EM Sovereigns Are Still Expensive Chart 10USD-Denominated Emerging Market Debt: Risk/Reward At The Country Level For the Baa-rated countries, Colombia, Mexico and Indonesia all offer spreads similar to what can be found in the Baa-rated U.S. Corporate bond market. The Philippines looks quite expensive, but Russia looks cheap compared to U.S. Corporates and has one of the lowest foreign funding requirements of any EM country. In High-Yield space, Turkey is fairly priced relative to Ba-rated U.S. junk, while Brazil and South Africa both look expensive. Argentina also looks expensive relative to B-rated U.S. junk. Bottom Line: Despite the recent weakness in emerging market currencies, U.S. corporate credit still looks more attractive than USD-denominated emerging market sovereign debt. At the country level, only Russian debt warrants an overweight allocation relative to U.S. corporates. Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com 1 https://www.federalreserve.gov/newsevents/speech/yellen20170926a.htm 2 Please see U.S. Bond Strategy Weekly Report, "Breaking Points", dated May 29, 2018, available at usbs.bcaresearch.com 3 Please see U.S. Bond Strategy Weekly Report, "Pulling Back And Looking Ahead", dated May 22, 2018, available at usbs.bcaresearch.com 4 We explored some possible reasons for such a shift in the U.S. Bond Strategy Weekly Report, "Will Breakevens Ever Recover?", dated April 25, 2017, available at usbs.bcaresearch.com 5 Please see U.S. Bond Strategy Weekly Report, "Risk Rally Extended", dated June 27, 2017, available at usbs.bcaresearch.com 6 https://www.federalreserve.gov/newsevents/speech/yellen20150924a.htm 7 Please see U.S. Bond Strategy Weekly Report, "Breaking Points", dated May 29, 2018, available at usbs.bcaresearch.com 8 Please see Emerging Markets Strategy Special Report, "A Primer On EM External Debt", dated June 7, 2018, available at ems.bcaresearch.com Fixed Income Sector Performance Recommended Portfolio Specification
The GAA DM Equity Country Allocation model is updated as of May 31, 2018. No significant changes in the model's allocation this month, as shown in Table 1. Table 1Model Allocation Vs. Benchmark Weights As shown in Table 2 and Charts 1, 2 and 3, the overall model underperformed its benchmark by 111 bps in May, largely driven by Level 2 model which underperformed by 300 bps. The model's largest overweight, Italy, turned out to be the worst performer in May as a result of Italian politics, an event that is difficult for a quantitative model to capture. Level 1 model outperformed by only 7 bps in May. Consequently, since going live, the outperformance of the Level 2 model, which allocates funds among 11 non-U.S. countries, has reduced to 52 bps, while the overall model has performed in line with the MSCI World benchmark. Chart 1GAA DM Model Vs. MSCI World Chart 2GAA U.S. Vs. Non U.S. Model (Level 1) Chart 3GAA Non U.S. Model (Level 2) Please see also the website http://gaa.bcaresearch.com/trades/allocation_performance. For more details on the models, please see Special Report, "Global Equity Allocation: Introducing The Developed Markets Country Allocation Model," dated January 29, 2016, available at https://gaa.bcaresearch.com. Please note that the overall country and sector recommendations published in our Monthly Portfolio Update and Quarterly Portfolio Outlook use the results of these quantitative models as one input, but do not stick slavishly to them. We believe that models are a useful check, but structural changes and unquantifiable factors need to be considered too in making overall recommendations. GAA Equity Sector Selection Model The GAA Equity Sector Selection Model (Chart 4) is updated as of May 31, 2018. Chart 4Overall Model Performance Table 3Allocations Table 4Performance Since Going Live The largest shift was a move from underweight to overweight in the materials sector, driven by improving momentum. On the other hand, the overweight in energy was reduced by 1.7 percentage points. The aggregate model now has a small overweight on cyclicals versus defensives, although this is entirely in commodity-related cyclicals. The only other overweight sector is utilities, which saw a small decrease in its weight in the model. For more details on the model, please see the Special Report "Introducing The GAA Equity Sector Selection Model," dated July 27, 2016, available at https://gaa.bcaresearch.com.