Skip to main navigation Skip to search Skip to main content

Default prediction with dynamic sectoral and macroeconomic frailties

  • Southwestern University of Finance and Economics

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

This paper extends the macroeconomic frailty model to include sectoral frailty factors that capture default correlations among firms in a similar business. We estimate sectoral and macroeconomic frailty factors and their effects on default intensity using the data for Japanese firms from 1992 to 2010. We find strong evidence for the presence of sectoral frailty factors even after accounting for the effects of observable covariates and macroeconomic frailty on default intensity. The model with sectoral frailties performs better than that without. Results show that accounting for the sources of unobserved sectoral default risk covariations improves the accuracy of default probability estimation.

Original languageEnglish
Pages (from-to)211-226
Number of pages16
JournalJournal of Banking and Finance
Volume40
Issue number1
DOIs
StatePublished - 2014

Keywords

  • Default risk
  • Distance to default
  • Frailty
  • Gibbs sampler
  • Hazard rate function
  • Monte Carlo expectations maximization (EM)
  • Tail loss

Fingerprint

Dive into the research topics of 'Default prediction with dynamic sectoral and macroeconomic frailties'. Together they form a unique fingerprint.

Cite this