The Information Value of Distress

Christian Hilpert*, Stefan Hirth, Alexander Szimayer

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Abstract

We propose a novel framework for investigating learning dynamics on the debt market. Observing a firm’s survival of apparently distressed periods, the market eliminates asset value estimates that are too low to be consistent with the observed survival. Therefore, the firm’s cost of debt becomes lower for given financials. Relative to a perfect information setting, the firm strategically delays default to benefit from a subsequently lower cost of debt. Default comes as a surprise, as it reveals the currently worst possible asset value as correct. The surprise effect is mitigated for debt with higher performance sensitivity and for lower ex ante information asymmetry.

Original languageEnglish
JournalManagement Science
Volume70
Issue1
Pages (from-to)78-97
Number of pages20
ISSN0025-1909
DOIs
Publication statusPublished - Jan 2024

Keywords

  • asymmetric information
  • learning dynamics
  • quantitative debt models
  • strategic interaction

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