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CREDIT RISK MODELS: AN ANALYSIS OF DEFAULT CORRELATION

Authors :
Howard Qi
Yan Alice Xie
Sheen Liu
Source :
The International Journal of Business and Finance Research. 4(1):37-49
Publication Year :
2010

Abstract

This paper examines one of the major problems in credit risk models widely used in the financial industry to forecast future defaults and bankruptcies. We find that even after proper calibration, a representative credit risk model can severely underestimate default correlation. We further find that a likely reason for the underestimation of default correlation is the problematic common practice in the financial industry of using observable equity correlation as a proxy for unobservable asset correlation when the model is applied to predict default correlation. However, our results show that this proxy in common practice is not valid.

Details

Volume :
4
Issue :
1
Database :
OpenAIRE
Journal :
The International Journal of Business and Finance Research
Accession number :
edsair.od.......645..f3177bae7eb48938515a7a3b7a99a0f3