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A Random Matrix Approach to Credit Risk

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  • Michael C. Munnix
  • Rudi Schafer
  • Thomas Guhr

Abstract

We estimate generic statistical properties of a structural credit risk model by considering an ensemble of correlation matrices. This ensemble is set up by Random Matrix Theory. We demonstrate analytically that the presence of correlations severely limits the effect of diversification in a credit portfolio if the correlations are not identically zero. The existence of correlations alters the tails of the loss distribution considerably, even if their average is zero. Under the assumption of randomly fluctuating correlations, a lower bound for the estimation of the loss distribution is provided.

Suggested Citation

  • Michael C. Munnix & Rudi Schafer & Thomas Guhr, 2011. "A Random Matrix Approach to Credit Risk," Papers 1102.3900, arXiv.org, revised Jun 2011.
    • Handle: RePEc:arx:papers:1102.3900
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    References listed on IDEAS

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    1. Rudi Schafer & Markus Sjolin & Andreas Sundin & Michal Wolanski & Thomas Guhr, 2007. "Credit risk - A structural model with jumps and correlations," Papers 0707.3478, arXiv.org, revised Jul 2007.
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