I demonstrate that much of the time series variation in the credit spread on high yield bonds is attributable to changes in the “credit risk premium” rather than changes in expected default losses. The credit risk premium is the expected excess return investors earn from bearing default risk...

This paper examines the predictive performance of machine learning methods in estimating the illiquidity of U.S. corporate bonds. We compare the predictive performance of machine learning-based estimators (linear regressions, tree-based models, and neural networks) to that of the most commonly...

We investigate whether the distributional characteristics of corporate bonds predict the cross-sectional differences in future bond returns. The results indicate a significantly positive (negative) link between volatility (skewness) and expected returns, whereas kurtosis does not make a robust...