Pricing credit-risky bonds using recovery rate uncertainty and macro-regime switching

A proposed model is used to account for both the recovery rate and regime-switching uncertainties for pricing credit-risky bonds. A two-factor hazard rate model (TFHRM) is also considered, where the dynamics of both instantaneous forward rates and asset values are modeled using Markov-modulated geom...

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Bibliographic Details
Published in:The European journal of finance 2024, Vol.30 (2), p.127-143
Main Authors: Chen, Son-Nan, Hsu, Pao-Peng, Liang, Kuo-Yuan
Format: Article
Language:English
Subjects:
a two-factor hazard rate model
Business cycles
credit cycle
Credit ratings
Credit-risky bond
Endogenous
Recovery
regime-switching
stochastic recovery rate
Uncertainty
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Summary:A proposed model is used to account for both the recovery rate and regime-switching uncertainties for pricing credit-risky bonds. A two-factor hazard rate model (TFHRM) is also considered, where the dynamics of both instantaneous forward rates and asset values are modeled using Markov-modulated geometric Brownian motions (MMGBMs). Moreover, a macroeconomic factor is incorporated into the MMGBMs. The model complexity is resolved through the introduction of an endogenous intensity function and a recovery rate under the TFHRM. A semi-closed-form solution for pricing defaultable bonds is derived along with a pricing formula for credit spread. A credit cycle is constructed to reflect changes in industry characteristics and macroeconomic factors. The empirical study demonstrates that the inclusion of a stochastic recovery rate increases the model's pricing accuracy, and the results indicate a close interaction among business cycles, recovery rates, and credit ratings.
ISSN:1351-847X
1466-4364
DOI:10.1080/1351847X.2023.2193703