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

Benjamin Y. Zhang, Hao Zhou and Haibin Zhu

No 2005-63, Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.)

Abstract: A structural model with stochastic volatility and jumps implies specific 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 equities from high frequency data. Our empirical results suggest that volatility risk alone predicts 50 percent of the variation in CDS spreads, while jump risk alone forecasts 19 percent. After controlling for credit ratings, macroeconomic conditions, and firms' balance sheet information, we can explain 77 percent of the total variation. Moreover, the pricing effects of volatility and jump measures vary consistently across investment-grade and 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.

Keywords: Swaps (Finance); Risk management; Econometric models (search for similar items in EconPapers)
Date: 2005
New Economics Papers: this item is included in nep-fmk
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Citations: View citations in EconPapers (26)

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Related works:
Journal Article: Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms (2009)
Working Paper: Explaining credit default swap spreads with equity volatility and jump risks of individual firms (2005)
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