• Media type: E-Book
  • Title: Predicting Early Warning Signals of Financial Distress : Theory and Empirical Evidence
  • Contributor: Klobucnik, Jan [Author]; Miersch, David [Other]; Sievers, Soenke [Other]
  • Published: [S.l.]: SSRN, [2017]
  • Extent: 1 Online-Ressource (84 p)
  • Language: English
  • DOI: 10.2139/ssrn.2237757
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments October 31, 2017 erstellt
  • Description: This study proposes a simple theoretical framework that allows for assessing financial distress up to five years in advance. We jointly model financial distress by using two of its key driving factors: declining cash-generating ability and insufficient liquidity reserves. The model is based on stochastic processes and incorporates firm-level and industry-sector developments. A large-scale empirical implementation for US-listed firms over the period of 1980-2010 shows important improvements in the discriminatory accuracy and demonstrates incremental information content beyond state-of-the-art accounting and market-based prediction models. Consequently, this study might provide important ex ante warning signals for investors, regulators and practitioners
  • Access State: Open Access