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Explaining credit default swap spreads with equity volatility and jump risks of individual firms

Author

Listed:
  • Haibin Zhu
  • Benjamin Yibin Zhang

    (Fitch Ratings Inc.)

  • Hao Zhou

    (Federal Reserve Board - Risk Analysis Section)

Abstract

A structural model with stochastic volatility and jumps implies particular relationships between observed equity returns and credit spreads. This paper explores such effects in the credit default swap (CDS) market. We use a novel approach to identify the realized jumps of individual equity from high frequency data. Our empirical results suggest that volatility risk alone predicts 50% of CDS spread variation, while jump risk alone forecasts 19%. After controlling for credit ratings, macroeconomic conditions, and firms' balance sheet information, we can explain 77% of the total variation. Moreover, the marginal impacts of volatility and jump measures increase dramatically from investment grade to high-yield entities. The estimated nonlinear effects of volatility and jumps are in line with the model implied relationships between equity returns and credit spreads.

Suggested Citation

  • Haibin Zhu & Benjamin Yibin Zhang & Hao Zhou, 2005. "Explaining credit default swap spreads with equity volatility and jump risks of individual firms," BIS Working Papers 181, Bank for International Settlements.
  • Handle: RePEc:bis:biswps:181
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    References listed on IDEAS

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    More about this item

    Keywords

    structural model; stochastic volatility; jumps; credit spread; credit default swap; nonlinear effect; high frequency data;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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