Structural models of corporate bond pricing with personal taxes

Citation data:

Journal of Banking & Finance, ISSN: 0378-4266, Vol: 34, Issue: 7, Page: 1700-1718

Publication Year:
Usage 640
Abstract Views 635
Link-outs 5
Captures 28
Exports-Saves 28
Citations 10
Citation Indexes 10
Repository URL:
10.1016/j.jbankfin.2010.03.016; 10.1016/j.jbankfin.2010.03.016retrieved
Qi, Howard; Liu, Sheen; Wu, Chunchi
Elsevier BV
Economics, Econometrics and Finance; Default; Personal taxes; Liquidity; Yield spreads; Structural models; Business
article description
The structural approach offers an integrated framework to deal with yield spreads and default probability simultaneously. However, structural models perform poorly in predicting corporate bond spreads. It is unclear whether this poor performance is caused by characteristics of individual models, missing factors, or different calibration procedures. This study evaluates the performance of four structural models by incorporating two important factors, personal taxes and the liquidity factor, and calibrating these models to data. To ensure our results are not contingent on the calibration method, we further apply the maximum likelihood estimation method to a large sample of individual bonds. Results consistently show that the ability of structural models to predict spreads improves considerably when personal taxes and liquidity are taken into account. Our findings suggest that the poor performance of standard structural models is more likely due to missing factors than the characteristics of individual models or the calibration procedure.