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Defaultable Debt Pricing In Multi-Factor Models

Author

Listed:
  • K. G. LIM

    (Department of Finance, Singapore Management University, 469 Bukit Timah Road, Oei Tiong Ham Building, Singapore 259756, Singapore)

  • SHIWEI CHANG

    (Wharton-SMU Research Center, Singapore Management University, 469 Bukit Timah Road, Oei Tiong Ham Building, Singapore 259756, Singapore)

  • TSUI KAI CHONG

    (School of Business, Singapore Management University, 469 Bukit Timah Road, Oei Tiong Ham Building, Singapore 259756, Singapore)

Abstract

This paper employs the structural approach to study defaultable debt pricing under multi-factor models. We extend existing results under the structural approach in two directions. By incorporating multiple factors, we can capture the impact of other economic variables on the debt prices apart from the interest rate factor. In our approach, we provide credit spread pricing using both the real interest rate and inflation rate as state variables. We also extend the analyses to a more general default boundary. In our paper we assume that default happens when the firm value hits a given fraction of the corresponding risk-free debt for the first time. This is also the recovery rate of the defaulted debt. Analytical solutions for both the case of constant recovery rate and the extended case of recovery rate being a deterministic function of time in the multi-factor models are provided in our study. We also provide comparison of the performance of our model with other relevant credit spread models.

Suggested Citation

  • K. G. Lim & Shiwei Chang & Tsui Kai Chong, 2002. "Defaultable Debt Pricing In Multi-Factor Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 5(08), pages 823-844.
    • Handle: RePEc:wsi:ijtafx:v:05:y:2002:i:08:n:s0219024902001742
    DOI: 10.1142/S0219024902001742
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    Cited by:

    1. Enrico Bernardi & Silvia Romagnoli, 2016. "Distorted Copula-Based Probability Distribution of a Counting Hierarchical Variable: A Credit Risk Application," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 285-310, March.

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