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An Exact Structural Model for Evaluating Credit Default Swaps: Theory and Empirical Evidence

Ren-Raw Chen and Pei-Lin Hsieh
The Journal of Fixed Income Winter 2023, 32 (3) 20-48; DOI: https://doi.org/10.3905/jfi.2022.1.149
Ren-Raw Chen
is a professor of finance in the Gabelli School of Business at Fordham University in New York, NY
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Pei-Lin Hsieh
is an associate professor of finance in the School of Management at National Central University in Taiwan, R.O.C
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Abstract

Using structural models for credit default swaps has been difficult. Existing models all adopt shortcuts as approximations. In this article, we provide an accurate and efficient solution to the price of the credit default swap. The main result is a Theorem in section 2. In an empirical study, we show how our model can properly capture credit default swap exposure to interest rate volatility and asset volatility. Furthermore, we apply the new model to study (1) the interactions among market, credit, and interest risks; (2) the consistency with the reduced-form credit risk models; and (3) implications to capital structure arbitrage.

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The Journal of Fixed Income: 32 (3)
The Journal of Fixed Income
Vol. 32, Issue 3
Winter 2023
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An Exact Structural Model for Evaluating Credit Default Swaps: Theory and Empirical Evidence
Ren-Raw Chen, Pei-Lin Hsieh
The Journal of Fixed Income Dec 2022, 32 (3) 20-48; DOI: 10.3905/jfi.2022.1.149

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An Exact Structural Model for Evaluating Credit Default Swaps: Theory and Empirical Evidence
Ren-Raw Chen, Pei-Lin Hsieh
The Journal of Fixed Income Dec 2022, 32 (3) 20-48; DOI: 10.3905/jfi.2022.1.149
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  • Article
    • Abstract
    • THE MODEL
    • EXTENSION TO INCLUDE RANDOM INTEREST RATES
    • EMPIRICAL WORK
    • IMPLICATION TO CREDIT RISK MANAGEMENT
    • CONCLUSION AND FUTURE RESEARCH
    • APPENDIX
    • ENDNOTES
    • REFERENCES
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