Special Report
Highlights Defaults: The default outlook is improving alongside a brighter forecast for economic growth. The corporate default rate will fall from 5.4% to close to 4% during the next 12 months. Valuation: The low starting point for spreads means the risk/reward trade-off in junk bonds remains poor, despite a more encouraging default outlook. Strategy: In addition to a poor longer run risk/reward trade-off, the risk of a Fed rate hike in December makes us extremely cautious on junk in the near term. Maintain a maximum underweight allocation to high-yield and await a better entry point for spreads in the New Year. Feature This year's rally in High-Yield has been nothing short of impressive. The average spread on the Barclays High-Yield index has narrowed to 467bps from a February high of 839bps, and excess junk returns have now recovered all the ground lost since the mid-2014 peak (Chart 1). Chart 1Back In The Black When considering the potential for further spread tightening we first observe that, despite this year's rally, the average junk spread remains 144bps above the cycle lows reached in June 2014. However, the credit cycle is also two years older, corporations are more highly levered and the default rate has started to increase. The dramatic sell-off and subsequent recovery in the price of oil has also had a large impact on junk bond performance since mid-2014, but now that the average spread on energy debt is within 100bps of the overall index (Chart 1, bottom panel), its influence will be much smaller going forward. In this week's report we consider the potential for further junk bond outperformance through three different analytical approaches. We conclude that: Junk spreads already discount a significant improvement in capacity utilization Junk spreads do not adequately reflect the risks from higher implied equity volatility Although the outlook for default losses has improved, current spreads do not offer adequate compensation Growth Rebound Is In The Price As we anticipated,1 last Friday's preliminary Q3 GDP print exceeded expectations. Further, we expect that a number of headwinds which have held back U.S. growth in 2016 will give way next year, generating 2.5% - 3% real GDP growth in 2017.2 This should bode well for junk bond performance, except that a relatively large growth acceleration has already been incorporated into high-yield spreads. Of all economic indicators high-yield spreads correlate most closely with capacity utilization (Chart 2), which bottomed in March of this year shortly after the peak in junk spreads. But capacity utilization has not kept pace with the tightening in junk spreads since then. Historically, a 100bps tightening in junk spreads during a 12-month period has coincided with a 0.4% improvement in capacity utilization. This would suggest that even if junk spreads remain flat, capacity utilization should reach 77.2% by next February (Chart 2, bottom panel). While industrial production will continue to improve, in large part because of rebounds in the oil price and rig count (Chart 3), it will be difficult for any rebound to surpass the expectations that have already been baked into the high yield market. Chart 2Junk Spreads & Capacity Utilization Chart 3Drag From Energy Has Dissipated The Risk From Rising Vol Is Understated Another well-known correlation is between junk spreads and the VIX. As was observed by Robert Merton in 1974,3 corporate bond investors effectively bear the risk from equity investors who own portfolio insurance against downside tail risk (see Box). In other words, an increase in the price of volatility can be thought of as a transfer of default risk from equity holders to bondholders. Unusually, junk spreads have tightened during the past three months while the price of volatility (VIX) has risen (Chart 4). Box - Merton Model Of Corporate Debt Robert Merton pointed out that holding a corporate bond is equivalent to holding a risk-free security plus a short put option on the value of the assets of the corporation. For a corporation with zero default risk, the option is worthless and the bondholder owns a risk-free security. However, the closer a corporation comes to default, the put option (which the bondholder is short and the equity holder is long) increases in value. If the value of assets of the corporation falls below the value of the debt outstanding, then the equity holders are better off defaulting on the debt than repaying it. The act of defaulting on debt is analogous to exercising the put option in that the shareholders put the assets of the corporation to the debt holders rather than repay the debt. Higher volatility increases the value of this put option, effectively reducing the value of corporate debt relative to equity. In other words, higher asset price volatility increases the risk of default. Similarly, a drop in volatility makes default less likely and so increases the value of corporate debt. Although asset volatility and equity volatility are not identical, they are closely related. Therefore, declining equity implied volatility is positive for corporate bonds since it reduces the value of the implicit short put option embedded in corporate debt. This divergence is not sustainable, and the near-term risks clearly favor a convergence via wider spreads rather than a lower VIX. A Trump victory in this month's election would obviously surprise markets and prompt a flight to safety. But the polling data suggest this is a low probability event. More likely is that the VIX rises in anticipation of a Fed rate hike in December. This process could begin as early as tomorrow afternoon, if the Fed teases a December rate hike in the statement from this week's meeting. We anticipate a December rate hike and would expect investors to bid up the price of vol between now and then. As a rate hike becomes more likely, investors will become increasingly worried about a repeat of last year when a Fed rate hike precipitated a large sell-off in risk assets. The trend in equity volatility is also biased higher in the longer run. While it is impossible to accurately forecast all of the wiggles in the VIX index, its long-run underlying trend tends to be driven by corporate health and monetary conditions (Chart 5). Chart 4Higher Vol A Near-Term Risk Chart 5Long Run Vol Drivers Easier monetary conditions tend to reduce investor risk aversion and send the VIX lower. But easy money also encourages the corporate sector to take on debt. Initially, a virtuous circle is created between a lower VIX and a re-levering corporate sector. To the extent that corporate credit growth fuels aggregate demand, risk aversion will decline even further leading to even lower volatility. Eventually, the virtuous circle is broken when either monetary conditions are tightened or leverage increases so much that investors question the sustainability of corporate balance sheets. Chart 5 suggests that the current level of the VIX does not reflect the reality of tightening monetary conditions or deteriorating corporate balance sheets. Bottom Line: A sizeable improvement in capacity utilization and persistently cheap equity volatility are required to sustain junk spreads at current levels. A Brighter Outlook For Defaults Around this time last year we called the beginning of the default cycle,4 and our view remains that we are one year into a prolonged grind higher in corporate defaults. Typically, once corporate defaults start to trend higher they do not peak until the next recession and we do not expect this cycle to be any different. This is because firms tend not to engage in voluntary de-leveraging. Rather, they tend to continue to add leverage until the economy forces retrenchment upon them. One exception to this trend is the small increase and subsequent reversal in defaults that occurred in the mid-1980s (Chart 6). In this instance it was not an improvement in corporate balance sheets that caused the uptrend in defaults to reverse. Instead, it was a dramatic easing of monetary conditions that gave banks the necessary confidence to keep the credit taps open, despite worsening corporate health. This episode can be contrasted with the mid-1990s cycle when corporate health continued to deteriorate but monetary conditions did not ease. This resulted in a persistent grind higher in defaults. Chart 6Defaults Will Moderate Next Year, But Long-Run Uptrend Is Still Intact In our view, the current cycle has the most in common with the mid-1990s. Corporate balance sheets are deteriorating and no monetary relief should be expected with the Fed in the midst of a rate hike cycle, albeit a shallow one. However, the prolonged nature of the recovery also means that the rise in corporate defaults will also be shallow and drawn out, with some fluctuations around an upward trend. Chart 7The Reason For Low Recoveries On that note, we forecast that the default rate will moderate during the next twelve months. Our default rate model is shown in the top panel of Chart 6. This model is based on industrial production growth, corporate profit growth, times-interest earned and lending standards. We forecast that both industrial production and corporate profit growth will improve next year, in large part due to the end of the drag from falling oil prices. The red line in the top panel of Chart 6 shows the Moody's baseline forecast for future defaults. This forecast calls for the default rate to be 4.09% during the next 12 months, down from 5.4% during the past 12 months. This forecast is consistent with our own base case expectation that calls for a return to modestly positive growth in both industrial production and corporate profits (on the order of 5% annualized). The thick grey line in the top panel of Chart 6 shows what the default rate would be in a pessimistic scenario where industrial production and corporate profit growth are held flat at current levels. This forecast has the default rate rising to 6.5% during the next 12 months. In order to forecast default losses we also need a forecast for the recovery rate. In the past we have modeled recoveries using the output from our default rate model. This simple observation that recoveries tend to fall when defaults rise, and vice-versa, had been sufficient to capture the major swings in recoveries, but has not performed well during the current cycle (Chart 7). In fact, recoveries have lagged well below levels that would be expected given the number of corporate defaults we have seen. The reasons for the low recovery rate are not well known, but we have collected some bottom-up data that may offer a partial explanation. The bottom two panels of Chart 7 show the Tobin's Q and net debt-to-assets ratio for the bottom decile of firms in our sample going back to 1990.5 We note that the Tobin's Q - the ratio of market value to replacement value of a firm's assets - has fallen to recessionary levels. Meantime, while net debt-to-assets is in a clear uptrend, it does not appear stretched relative to the early stages of past default cycles. This suggests that low recoveries are not the result of too much debt being supported by too few assets, but are the result of a low market value being placed on the assets in question. More fundamentally, we suspect that low recovery rates are actually explained by the divergence between the monetary and credit cycles (Chart 8). In past cycles, Fed tightening has tended to occur alongside a deterioration in corporate health. However, in this cycle corporate balance sheet re-leveraging is well advanced compared to monetary tightening. If we accept the premise that defaults themselves are caused by tighter money and tightening lending standards, while recoveries are more related to the state of corporate balance sheets at the time of default, then it makes sense that recoveries would be lower in this cycle since corporate balance sheets had been aggressively levering-up for several years before monetary conditions began to tighten and defaults started to rise. Chart 8The Diverging Credit And Monetary Cycles In both our baseline and pessimistic forecasts we assume that the recovery rate increases somewhat (from 28% to 35%), but remains low relative to where we would expect it to be based on the default rate alone. Adding it all up, our base case scenario calls for default losses of 266bps during the next 12 months. This results from a default rate of 4.09% and a recovery rate of 35%. Our pessimistic scenario calls for default losses of 423bps during the next 12 months. This results from a default rate of 6.5% and a recovery rate of 35%. The Default-Adjusted Spread & Expected Returns Individually, neither the average junk spread nor future default losses offer much explanatory power when it comes to forecasting high-yield returns. Rather, it is the combination of both - the default-adjusted spread - that explains the bulk of variation in junk returns. The top panel of Chart 9 shows 12-month high-yield returns in excess of duration-matched Treasuries alongside the average option-adjusted spread from the Barclays index, advanced by 12 months. The chart shows that there is some correlation between today's average junk spread and excess returns during the following 12 months, but the correlation is very weak. Chart 9Default-Adjusted Spread Predicts Lower Excess Returns The second panel of Chart 9 adjusts the average junk spread by realized default losses. Here we see a much stronger correlation. In fact, the starting spread on the High-Yield index less realized default losses during the next 12 months explains more than 50% of the variation in excess junk returns. This means that with knowledge of today's junk spread and an accurate forecast of future default losses, we can have a reasonably good idea about what excess junk returns will be during the next year. The bottom panel shows the results of a regression of excess junk returns versus the default-adjusted spread. It also shows what the default-adjusted spread implies in term of excess junk returns using both our base case and pessimistic default loss scenarios. In our base case scenario where the default rate improves during the next year, excess junk returns are predicted to be close to zero. In other words, the anticipated improvement in defaults is not sufficient to offset the low level of starting spreads. In our pessimistic scenario, where the default rate rises to 6.5%, excess returns during the next 12 months are predicted to be deeply negative. Bottom Line: The default outlook is improving alongside a brighter outlook for economic growth, but wider spreads are still required to make the risk/reward trade-off in junk bonds attractive. Ryan Swift, Vice President U.S. Bond Strategy rswift@bcaresearch.com 1 Please see U.S. Bond Strategy Weekly Report, "Dollar Watching", dated September 13, 2016, available at usbs.bcaresearch.com 2 Please see The November 2016 Bank Credit Analyst, dated October 27, 2016, available at bca.bcaresearch.com 3 Merton, Robert C. 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates." Journal of Finance 29, pp. 449-470. 4 Please see U.S. Bond Strategy Weekly Report, "The Rising Risk Of Corporate Default", dated October 20, 2015, available at usbs.bcaresearch.com 5 We create a sample consisting of all the firms included in either the Barclays Corporate or High-Yield index (excluding financials) for which bottom-up data are available from Bloomberg. Data are retrieved on a quarterly basis and the sample is adjusted once per year based on changes in the composition of the Barclays indexes. The lowest sample size in any quarter is 53 firms, the largest is 101. On average, the sample size is 68 firms. Fixed Income Sector Performance Recommended Portfolio Specification