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On Correlation and Default Clustering in Credit Markets

Review of Financial Studies 2010 23(7), 2680-2729
[We establish Markovian models in the Heath, Jarrow, and Morton (1992) paradigm that permit an exponential affine representation of riskless and risky bond prices while offering significant flexibility in the choice of volatility structures. Estimating models in our family is typically no more difficult than in the workhorse affine family. Besides diffusive and jump-induced default correlations, defaults can impact the credit spreads of surviving firms, allowing for a greater clustering of defaults. Numerical implementations highlight the importance of incorporating interest rate-credit spread correlations, credit spread impact factors, and the full credit spread curve when building a unified framework for pricing credit derivatives.]

Decomposing European CDS Returns

Review of Finance 2010 14(2), 189-233
Nearly half of the variation in European CDS returns is captured by a novel factor that mimics economic catastrophe risk. During the financial crisis of 2007–8, this factor became more important relative to other sources of risk, leading to a shift in the correlation structure of CDS returns. Using equivalent CDS and equity portfolios, we show that while crucial for explaining temporal and cross-sectional variation in CDS returns, the factor plays a lesser role for equity. This is likely due to the limited sensitivity of the equity value at default to whether the event is of systemic or idiosyncratic nature.

On Correlation and Default Clustering in Credit Markets

Review of Financial Studies 2010 23(7), 2680-2729
We establish Markovian models in the Heath, Jarrow, and Morton (1992) paradigm that permit an exponential affine representation of riskless and risky bond prices while offering significant flexibility in the choice of volatility structures. Estimating models in our family is typically no more difficult than in the workhorse affine family. Besides diffusive and jump-induced default correlations, defaults can impact the credit spreads of surviving firms, allowing for a greater clustering of defaults. Numerical implementations highlight the importance of incorporating interest rate--credit spread correlations, credit spread impact factors, and the full credit spread curve when building a unified framework for pricing credit derivatives. The Author 2010. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: [email protected]., Oxford University Press.