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Jump tail risk premium and predicting US and Japanese credit spreads

Author

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  • Masato Ubukata

    (Kushiro Public University of Economics
    Meiji Gakuin University)

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.

Suggested Citation

  • Masato Ubukata, 2019. "Jump tail risk premium and predicting US and Japanese credit spreads," Empirical Economics, Springer, vol. 57(1), pages 79-104, July.
    • Handle: RePEc:spr:empeco:v:57:y:2019:i:1:d:10.1007_s00181-018-1431-x
    DOI: 10.1007/s00181-018-1431-x
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    Cited by:

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    2. Masato Ubukata, 2022. "A time-varying jump tail risk measure using high-frequency options data," Empirical Economics, Springer, vol. 63(5), pages 2633-2653, November.

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    More about this item

    Keywords

    Jump tail risks; Variance risk premium; Credit spreads; Predictability; Option prices;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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