LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Jump tail risk premium and predicting US and Japanese credit spreads

Photo by geraninmo from unsplash

This paper investigates the role of time-varying jump tail risk component of market variance risk premium for predicting credit spreads in US and Japanese corporate bond markets. Based on a… Click to show full abstract

This paper investigates the role of time-varying jump tail risk component of market variance risk premium for predicting credit spreads in US and Japanese corporate bond markets. Based on a semi-nonparametric estimation procedure from option prices, we find that the implied left jump variation, which is a simple proxy of the special compensation for jump tail risks, could strongly predict lower-rated credit spreads and default spreads in Japan, even with control for traditional predictors and lagged credit spreads. The predictive pattern on forecasting horizons ranging from 1 month to 1 year differs from that of the diffusive component of variance risk premium, and thus, the variance risk premium decomposition increases the forecasting power of standard predictability regressions. Unlike in Japan, the jump tail risk component might be a weaker predictor for US credit spreads data used in this paper because it becomes insignificant after controlling volatility measures and lagged credit spreads.

Keywords: risk premium; jump tail; credit spreads; risk

Journal Title: Empirical Economics
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.