Developed Countries

Table 1 Online political betting markets are still not fully pricing our sister BCA Geopolitical Strategy’s 55% odds for the "Blue Wave" scenario. Therefore, it pays to examine what will be the likely impact of a blue wave on the US stock market. Specifically, Biden is planning to increase the US corporate tax rate from 21% to 28%, and possibly even higher. In our most recent Special Report, we have conducted a similar exercise to the one we did in late-2017, when we calculated a one time boost to S&P 500 EPS due to Trump’s tax cut. This time, however, we reversed the calculation to compute by how much S&P 500 EPS are likely to fall should Biden raise the corporate tax rate. Table 1 reveals that the hardest hit GICS1 sectors are real estate, tech and health care, and the ones faring the best are consumer staples, industrials and energy. For more information, please refer to our most recent Special Report discussing Biden and his policies’ likely effects on the US stock market.  

Following our recent downgrade in the S&P banks index, we were also compelled to downgrade the S&P investment banks & brokerage (IBB) index to a benchmark allocation as it has a similar investment profile. The COVID-19 accelerated recession has not only mothballed potential industry M&A deals that were in the works, but also a number of previously announced deals have been canceled (second panel), which will weigh on the sector’s profit prospects. While “Robinhood” (retail investor) trading stories abound, margin debt remains moribund and continues to contract, despite the V-shaped recovery in all major US stock markets since the March 23 lows (third panel), spelling trouble for commission-related revenues. As a result we deem the collapse in the relative price-to-book ratio to represent a value trap rather than a value opportunity (bottom panel). Bottom Line: We are neutral the S&P IBB index. Please refer to the following Weekly Report for more details. The ticker symbols for the stocks in the index are: BLBG: S5INBK – GS, MS, SCHW, ETFC, RJF. ​​​​​​​

Neutral We have recently downgraded the S&P banks index to neutral as yellow flags are waving on all three key bank profit drivers, namely the price of credit, loan growth and credit quality. More specifically on credit quality, delinquency and charge-off rates are all but certain to spike in the coming months. The third panel highlights that historically all these credit quality gauges are lagging. However, the near vertical climb in the unemployment rate recently, and persistently high continuing unemployment benefit claims near 18mn signal that non-performing loans (NPLs) are slated to soar in the back half of 2020 (bottom panel). True, the recent $2tn+ fiscal package is acting as a Band-Aid solution by putting money in unemployed consumers’ pockets, but when the money runs out on July 31, the going will get tough especially if Congress does not pass a new fiscal package. Bottom Line: We are neutral the S&P banks index.  For more details on the other two key bank profit drivers, please refer to the following Weekly Report. The ticker symbols for the stocks in the index are: BLBG: S5BANKX – JPM, BAC, C, WFC, USB, TFC, PNC, FRC, FITB, MTB, KEY, SIVB, RF, CFG, HBAN, ZION, CMA, PBCT. ​​​​​​​

Special Report

Highlights Energy Bond Model: This report presents models for both investment grade and high-yield Energy bond excess returns. The models are based on overall corporate bond index spreads and the oil price. They can be used to generate Energy bond excess return forecasts for investment horizons up to 12 months. IG Energy Bonds: Our model suggests that investment grade Energy bond excess returns will be strong during the next 12 months under likely economic scenarios. We recommend an overweight allocation to investment grade Energy bonds.  HY Energy Bonds: Our models imply positive excess return outcomes for high-yield Energy bonds, but we remain concerned about near-term default risk for lower-rated issuers. We advise a cautious (neutral) allocation for now. Part 2 of this Special Report, to be published next week, will dig further into the high-yield Energy index on an issuer-by-issuer basis. Feature Table 1Energy Bond Excess Return* Scenarios (12-Month Investment Horizon) During the past couple of months we’ve published several reports that take more detailed looks at specific industry groups within both the investment grade and high-yield corporate bond markets. So far, we’ve published reports on: Banks1 Healthcare & Pharmaceuticals2 Technology3 This week and next week, we continue our series with a deep dive into Energy bonds that is split between two Special Reports. This week’s report develops a model for Energy bond excess returns based on overall corporate bond index excess returns and the oil price. In next week’s report, we look more deeply into the characteristics of the investment grade and high-yield Energy indexes. We also consider the outlooks for the five sub-categories of Energy debt: Independent, Integrated, Oil Field Services, Refining and Midstream. A Model Of Energy Bond Excess Returns A good starting point for modeling the excess returns of any corporate bond sector is to combine the sector’s Duration-Times-Spread (DTS) ratio with the excess returns of the overall corporate bond index.4 Please note that “excess returns” refers to returns relative to a duration-matched position in Treasury securities. The DTS-only model explains 86% of the variance in monthly investment grade Energy excess returns. Considering only a sector’s DTS ratio, we can define the following model for monthly investment grade Energy excess returns: EXSENRG = (DTSENRG / DTSCORP) * EXSCORP Where: EXSENRG = Monthly investment grade Energy excess returns versus duration-matched Treasuries (DTSENRG / DTSCORP) = The investment grade Energy sector’s DTS ratio EXSCORP = Monthly investment grade corporate index excess returns versus duration-matched Treasuries For example, the current DTS for the investment grade Energy sector is 18. The DTS for the overall corporate index is 12. This means that the DTS ratio for the Energy sector is 18/12 = 1.5. According to our simple model, we would expect Energy sector excess returns to be 1.5 times corporate index excess returns in any given month. It turns out that our simple model performs quite well. Chart 1 shows monthly investment grade Energy sector excess returns versus our model’s prediction. Our sample period spans from 1997 to the present. Specifically, we find that our model explains 86% of the variance in monthly investment grade Energy excess returns. Chart 1Investment Grade Energy Monthly Excess Returns*: DTS-Only Model** The simple (DTS-only) model’s performance is admirable, but we can do slightly better if we also incorporate the oil price. Chart 2 shows a statistically significant relationship between the residual from the DTS-only model and the monthly change in the Brent crude oil price. Chart 2Residual From DTS-Only Model* Versus Oil Price Combining the models shown in Charts 1 and 2, we get a model for investment grade Energy monthly excess returns based on both corporate index excess returns and the oil price: EXSENRG = (DTSENRG / DTSCORP) * EXSCORP + (376.84 * ∆ ln Oil) – 1.0587 Where excess returns are measured in basis points and (∆ ln Oil) = the monthly change in the natural logarithm of the Brent crude oil price. Chart 3 shows the historical performance of this complete model. Note that the model now explains 91% of the historical variance of investment grade Energy excess returns, 5% more than the initial DTS-only model. Chart 3Investment Grade Energy Monthly Excess Returns*: Complete Model (DTS & Oil)** Robustness Checks We performed the same analysis for 3-month, 6-month and 12-month excess returns and found very consistent results (Table 2). The oil price adds significant explanatory power to the model in each case, but the bulk of variation in investment grade Energy excess returns is determined by trends in the overall corporate index spread. Table 2Investment Grade Energy Excess Returns*: Model Results Using Different Return Frequencies (1997 - Present) We also find consistent results when looking at high-yield Energy returns (Table 3). Once again, the bulk of excess return variation is explained by multiplying the DTS ratio and the benchmark index’s excess returns. The oil price also adds a statistically significant amount of extra explanatory power. Table 3High-Yield Energy Excess Returns*: Model Results Using Different Return Frequencies (1997 - Present) One final observation is that oil explains a greater proportion of the variation in Energy sector excess returns if we limit our sample period to the past few years. Specifically, we re-ran the monthly iterations of both the investment grade and high-yield models from July 2014 to present. We found that the DTS component of the model explains the same amount of excess return variation as it did for the full sample. However, we also found that the oil price has a much greater impact if the sample is limited to the past six years (Table 4). Table 41-Month Excess Return* Models: Full Sample (1997 - Present) Versus Recent Sample (2014 - Present) Energy Excess Return Scenarios Finally, using our 12-month excess return models for investment grade and high-yield Energy, we can project likely outcomes for Energy excess returns versus Treasuries for the next 12 months. All we have to do is assume different outcomes for the overall benchmark index spread (either the investment grade or High-Yield index, depending on the model) and the oil price.5 The results of this scenario analysis are shown in Table 1. Starting with investment grade Energy, we see that all scenarios where the investment grade corporate index spread tightens lead to positive Energy excess returns. This is true even in a scenario where the oil price falls by $20 during the next year. Our model also suggests that a $10-$20 increase in the oil price during the next 12 months will keep Energy excess returns positive, even in a modest “risk off” scenario where the corporate index spread widens by 25 bps. All scenarios where the investment grade corporate index spread tightens lead to positive Energy excess returns. The story is similar in high-yield, though returns are much more variable. For example, high-yield Energy is projected to lose money relative to Treasuries in a scenario where the junk index spread tightens 50 bps and the oil price falls by $20. There are no scenarios where benchmark index spread tightening coincides with negative Energy excess returns in the investment grade model. Chart 4Watch For Falling Inventories In terms of likely scenarios for the next 12 months, we anticipate further spread tightening for corporate bonds rated Ba & above. But we also view B-rated and lower spreads as too tight given the default outlook for the next 12 months and the fact that these lower-rated issuers usually can’t access the Fed’s emergency lending facilities.6 With that in mind, we would confidently bet on investment grade index spread tightening during the next 12 months, but can envision high-yield spread widening driven by the lower credit tiers. On oil, our Commodity & Energy Strategy service forecasts an average Brent crude oil price of $65 in 2021, a sizeable increase relative to the current price of $43.27.7 Our strategists expect a significant supply contraction in the second quarter of this year that will cause the oil market to enter a physical deficit in the second half of 2020. Investors can look for falling storage levels in the coming months to confirm whether that forecast is playing out (Chart 4). Escalating tensions between the US and Iran pose an additional near-term upside risk to oil prices. This risk increased during the past few weeks as a string of mysterious explosions struck several Iranian military and economic facilities.8 However, with major oil producers now operating significantly below capacity, any net impact on oil prices from a supply disruption in the Persian Gulf would likely be short-lived. Investment Conclusions All in all, our bullish outlook for both investment grade corporate bond spreads and the oil price makes us inclined to overweight investment grade Energy bonds on a 12-month horizon. Within high-yield, our model also suggests that we should have a bullish bias toward Energy, but we remain concerned about default risk for lower-rated (B & below) Energy issuers during the next few months. We will dig into the high-yield Energy index on an issuer-by-issuer basis in Part 2 of this report, to be published next week. For now, we advise a more cautious stance toward high-yield Energy.   Ryan Swift US Bond Strategist rswift@bcaresearch.com Footnotes 1 Please see US Bond Strategy Weekly Report, “Negative Oil, The Zero Lower Bound And The Fisher Equation”, dated April 28, 2020, available at usbs.bcaresearch.com 2 Please see US Bond Strategy Weekly Report, “Assessing Healthcare & Pharma Bonds In A Pandemic”, dated June 9, 2020, available at usbs.bcaresearch.com 3 Please see US Bond Strategy Weekly Report, “Take A Look At High-Yield Technology Bonds”, dated June 23, 2020, available at usbs.bcaresearch.com 4 Duration-Times-Spread (DTS) is a simple measure that is highly correlated with excess return volatility for corporate bonds. The DTS ratio is the ratio of a sector’s DTS to that of the benchmark index. It can be thought of like the beta of a stock. A DTS ratio above 1.0 signals that the sector is cyclical (or “high beta”), a DTS ratio below 1.0 signals that the sector is defensive or (“low beta”). For more details on the DTS measure please see: Arik Ben Dor, Lev Dynkin, Jay Hyman, Patrick Houweling, Erik van Leeuwen & Olaf Penninga, “DTS (Duration-Times-Spread)”, Journal of Portfolio Management 33(2), January 2007. 5 We translate changes in benchmark index spread into 12-month excess returns using the formula: excess return = option-adjusted spread – (duration * change in option-adjusted spread) 6 Please see US Bond Strategy Weekly Report, “No Holding Back”, dated June 16, 2020, available at usbs.bcaresearch.com 7 Please see Commodity & Energy Strategy Weekly Report, “Low Vol, High Uncertainty Keeps Oil-Price Rally On Tenterhooks”, dated June 18, 2020, available at ces.bcaresearch.com 8 Please see Geopolitical Strategy Special Alert, “Cyber-Rattling In The Middle East”, dated July 10, 2020, available at gps.bcaresearch.com