On corporate financial distress prediction: What can we learn from private firms in a developing economy? Evidence from Greece

Ian Garrett, Evangelos Charalambakis

Research output: Contribution to journalArticlepeer-review

Abstract

Using a large dataset that includes nearly 31,000 Greek private firms we examine the determinants of the probability of corporate financial distress. Using a multi-period logit model, we find that profitability, leverage, the ratio of retained earnings-to-total assets, size, the liquidity ratio, an export dummy variable, the tendency to pay out dividends and the growth rate in real GDP are strong predictors of the probability of financial distress for Greek private firms. A model including these variables exhibits the highest in-sample and out-of-sample performance in terms of correctly classifying firms that went bankrupt as more likely to go bankrupt. The predictive ability of the model remains when we increase the forecast horizon, suggesting that the model works well over short and longer time horizons. © 2018 The Author(s)
Original languageEnglish
Pages (from-to)467-491
Number of pages25
JournalReview of Quantitative Finance and Accounting
Volume52
Issue number2
Early online date19 Mar 2018
DOIs
Publication statusPublished - 15 Feb 2019

Keywords

  • Bankruptcy prediction
  • Corporate financial distress
  • Discrete hazard (multi-period logit) model
  • Financial statements
  • Greek debt crisis
  • Private firms

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