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Survival Mixture Model for Credit Risk Analysis

Author

Listed:
  • Mo Leo S. F.

    (City University of Hong Kong)

  • Yau Kelvin K. W.

    (City University of Hong Kong)

Abstract

The survival mixture model, which is an extension of the ordinary survival model that allows the existence of a fraction of the borrowers to be risk-free, is applied to credit risk analysis. In a regression setting, the effect of borrowers' characteristics on both the risk-free probability and default risk can be assessed simultaneously. Using the C statistic as a measure of accuracy, the survival mixture model shows improved power to discriminate between 'good' and 'bad' customers, when compared with other commonly used statistical models for credit risk analysis. A simulation study is conducted to assess the performance of the proposed numerical estimation method. The survival mixture model not only concentrates on the time-to-default of the borrowers, it also predicts the probability of being risk-free. It provides additional information about the borrowers' default risk in relation to their characteristics, which assists the lending institutions to better manage credit risk.

Suggested Citation

  • Mo Leo S. F. & Yau Kelvin K. W., 2010. "Survival Mixture Model for Credit Risk Analysis," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 4(2), pages 1-20, July.
    • Handle: RePEc:bpj:apjrin:v:4:y:2010:i:2:n:5
    DOI: 10.2202/2153-3792.1061
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    References listed on IDEAS

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