Structural models of corporate bond pricing with personal taxes

Howard Qi, Sheen Liu, Chunchi Wu

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1700-1718
Number of pages19
JournalJournal of Banking and Finance
Volume34
Issue number7
DOIs
StatePublished - Jul 2010
Externally publishedYes

Keywords

  • Default
  • Liquidity
  • Personal taxes
  • Structural models
  • Yield spreads

ASJC Scopus subject areas

  • Finance
  • Economics and Econometrics

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