Artikel

EBITDA vs. cash flows in bankruptcy prediction on the Polish capital market

One of the elements of company's evaluation is an analysis of bankruptcy risk metrics. In this study, the accuracy of bankruptcy predictions generated by EBITDA-based and cash flow-based liabilities-coverage ratios is evaluated within a sample of data from the Polish market. The study is based on a sample of 92 companies, in which case a bankruptcy filing was announced in a period between the beginning of 2009 and the end of the first half of 2016. The statistical analysis has confirmed the usefulness of the investigated liabilities-coverage ratios. Even though the sample covers wide variety of businesses, the logit models with only one ratio used as an explanatory variable are capable of identifying bankrupt firms (with one-period-ahead forecast horizon) in about 66-76% of cases. However, this research has not confirmed the supremacy of operating cash flows over EBITDA in predicting financial distress.

Language
Englisch

Bibliographic citation
Journal: European Financial and Accounting Journal ; ISSN: 1805-4846 ; Volume: 12 ; Year: 2017 ; Issue: 2 ; Pages: 91-103 ; Prague: University of Economics, Faculty of Finance and Accounting

Classification
Management
Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Bankruptcy; Liquidation
Subject
Ratio analysis
Bankruptcy prediction
EBITDA
Fundamental analysis
Operating cash flows

Event
Geistige Schöpfung
(who)
Jacek, Welc
Event
Veröffentlichung
(who)
University of Economics, Faculty of Finance and Accounting
(where)
Prague
(when)
2017

DOI
doi:10.18267/j.efaj.183
Handle
Last update
10.03.2025, 11:41 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Jacek, Welc
  • University of Economics, Faculty of Finance and Accounting

Time of origin

  • 2017

Other Objects (12)