Web Manual of Loans Tips

Many government bond investors believe that deviations of treasury yield curve steepness from the traditional range or a fair value obtained by regression analysis are only temporary. That is, they expect yield curve steepness to be mean reverting. From a theoretical point of view there is strong support for this hypothesis. In the early stages of the business cycle, that is at the beginning of an expansion, monetary policy is easy and shortterm interest rates are still low. But an improving outlook for future economic growth leads to rising long-term interest rates and a steeper yield curve. The later stages of the expansion are characterized by rising inflationary pressures and consequently central bank tightening. The most  impressive example for this experience were the seven interest rate hikes by the Fed between January 1994 and January 1995, that led to a sell-off in the treasury market and were accompanied by a massive flattening of the yield curve. When the tighter monetary policy begins to unfold its influence on price growth, this is usually followed by weakening economic growth. In this economic environment yield curves steepen again, because short-term interest rates tend to price in room for central banks to cut interest rates.

Spread volatility is one of the most important underlying drivers of nominal spreads. Investing in more volatile sectors requires a higher compensation (higher option adjusted spread) because it is more difficult to target projected returns. There is a close relationship between aggregate spread levels and aggregate spread volatility. Periods of tight spreads are accompanied by lower spread volatility. When spreads tend to widen the spread volatility will also increase.

Sector betas are used as a measure of risk and signal the systematic risk of a sector. Corporate bond betas are computed on the basis of spreads and are, like the equity betas, useful indicators for the assessment of the different risk profiles of various companies and sectors. A high beta indicates an above average investment risk, because it depends on the average leverage level of issuers from a sector. The change in betas over time reflects the change in relative risk of a sector versus the overall market.

The rating outlook of both rating agencies (S&P and Moody’s) can be another criterion to choose between industries. If companies with a positive rating outlook outweigh the companies with a stable or negative rating outlook within an industry, it can be a good indicator for favorable industry dynamics, even if we have to recognize that ratings are sometimes lagging indicators for credit quality. A diversified portfolio should overweight the industries with a positive rating outlook and underweight industries with a negative rating outlook if the whole credit market experiences a “Flight-to-Quality.” During a market phase with a higher risk appetite, fundamental factors like the rating trend in a specific industry might not be the primary decision criterion for a sector positioning and other factors like valuation
will play a bigger role.