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Review of Financial Studies Vol. 22 No. 12 2009

Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms

Benjamin Yibin Zhang1; Hao Zhou2; Haibin Zhu3

1 UBS-Global Credit Strategies · 2 Federal Reserve Board of Governors · 3 Bank for International Settlements

open access

Abstract

This paper attempts to explain the credit default swap (CDS) premium, using a novel approach to identify the volatility and jump risks of individual firms from high-frequency equity prices. Our empirical results suggest that the volatility risk alone predicts 48% of the variation in CDS spread levels, whereas the jump risk alone forecasts 19%. After controlling for credit ratings, macroeconomic conditions, and firms' balance sheet information, we can explain 73% of the total variation. We calibrate a Merton-type structural model with stochastic volatility and jumps, which can help to match credit spreads after controlling for the historical default rates. Simulation evidence suggests that the high-frequency-based volatility measures can help to explain the credit spreads, above and beyond what is already captured by the true leverage ratio.

DOI
10.1093/rfs/hhp004
Volume
22
Issue
12
Pages
5099-5131
Language
en
Sources
openalex crossref