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Financial distress and return: A finite mixture approach

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  • Cheng, Zhuo
  • Fang, Jing

Abstract

Using finite mixture models, we find that financial distress is related to realized return negatively (positively) for one (the other) latent group. The negative (positive) relation concentrates in firms with large negative (positive) realized return; the likelihood for a firm to be in the latent group with a positive relation is negatively related to its price-to-value ratio estimate and mispricing score, both of which measure relative mispricing. The mispricing-correction component of realized return is negative (positive) for overvalued (undervalued) firms and decreases (increases) with corrected overvaluation (undervaluation). Overall, our findings are consistent with the view that mispricing—undervaluation and overvaluation—is larger for firms with higher financial distress. Evident in our findings, an overall negative relation between financial distress and realized return is driven by the negative relation between financial distress and the mispricing-correction component for overvalued firms and, therefore, it is not at odds with the risk-reward paradigm.

Suggested Citation

  • Cheng, Zhuo & Fang, Jing, 2025. "Financial distress and return: A finite mixture approach," Journal of Corporate Finance, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:corfin:v:92:y:2025:i:c:s0929119925000471
    DOI: 10.1016/j.jcorpfin.2025.102779
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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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