Inter-industry network and credit risk

Mu Nan Huang, Han Hsing Lee*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

As previous literature has documented cross-industry returns and tail risk predictability, especially during a financial crisis, this research investigates the effects of industries' position within an economy, inter-industry connectedness, and industry returns on credit risk using a reduced-form approach. We employ an aggregate measure of tail risk emitted from an industry to capture its outgoing connectedness with other industries, and our empirical results show that the outgoing connectedness of some highly central industries positively impacts all sample firms’ default probabilities, controlling for a variety of firm-specific and macroeconomic variables that are well-known to be related to corporate defaults. In sum, our empirical results support that industry network risk helps explain corporate default and improves default prediction accuracy.

Original languageEnglish
Pages (from-to)598-625
Number of pages28
JournalInternational Review of Economics and Finance
Volume92
DOIs
StatePublished - Apr 2024

Keywords

  • Default prediction
  • Eigenvector centrality
  • Forward intensity model
  • Industry network
  • Outgoing connectedness

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