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Indicators of corporate default : an EU based empirical study

Author

Listed:
  • Aaro Hazak

    ()

  • Kadri Männasoo

    ()

Abstract

The present paper contributes to the research on the indicators that provide a warning of company failure by employing micro and macro variables within a framework of survival analysis using a sample of 0.4 million companies from the European Union (EU). The sensitivity of the results is checked using two complementary event definitions - bankruptcy and negative equity. Our results imply that the baseline hazard of a default is a U-shaped function of the time the company has survived. High leverage and a low return on assets appear to be strong predictors of failure. Macroeconomic variables give mixed evidence for old and new member states as well as for the two default definitions

Suggested Citation

  • Aaro Hazak & Kadri Männasoo, 2007. "Indicators of corporate default : an EU based empirical study," Bank of Estonia Working Papers 2007-10, Bank of Estonia, revised 04 Sep 2007.
  • Handle: RePEc:eea:boewps:wp2007-10
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    File URL: http://www.eestipank.ee/sites/eestipank.ee/files/publication/en/WorkingPapers/2007/_wp_1007.pdf
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    References listed on IDEAS

    as
    1. S. Balcaen & H. Ooghe, 2004. "35 years of studies on business failure: an overview of the classical statistical methodologiesand their related problems," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/248, Ghent University, Faculty of Economics and Business Administration.
    2. Crouhy, Michel & Galai, Dan & Mark, Robert, 2001. "Prototype risk rating system," Journal of Banking & Finance, Elsevier, vol. 25(1), pages 47-95, January.
    3. S. Balcaen & H. Ooghe, 2004. "Alternative methodologies in studies on business failure: do they produce better results than the classical statistical methods?," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/249, Ghent University, Faculty of Economics and Business Administration.
    4. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
    5. Kahya, Emel & Theodossiou, Panayiotis, 1999. "Predicting Corporate Financial Distress: A Time-Series CUSUM Methodology," Review of Quantitative Finance and Accounting, Springer, vol. 13(4), pages 323-345, December.
    6. repec:bla:joares:v:10:y:1972:i:1:p:167-179 is not listed on IDEAS
    7. Luoma, M & Laitinen, EK, 1991. "Survival analysis as a tool for company failure prediction," Omega, Elsevier, vol. 19(6), pages 673-678.
    8. Terry J. Ward & Benjamin P. Foster, 1997. "A Note on Selecting a Response Measure for Financial Distress," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(6), pages 869-879.
    9. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    10. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    11. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
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    13. Kadri Männasoo, 2007. "Determinants of firm sustainability in Estonia," Bank of Estonia Working Papers 2007-04, Bank of Estonia, revised 08 Mar 2007.
    14. Frydman, Halina & Altman, Edward I & Kao, Duen-Li, 1985. " Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress," Journal of Finance, American Finance Association, vol. 40(1), pages 269-291, March.
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    Citations

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    Cited by:

    1. Mari Avarmaa & Aaro Hazak & Kadri Männasoo, 2011. "Capital structure formation in multinational and local companies in the Baltic States," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 11(1), pages 125-146, July.
    2. Alessandro Zeli, 2014. "The financial distress indicators trend in Italy: an analysis of medium-size enterprises," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 199-221, December.
    3. O'Brien, Eoin & Stuart, Rebecca, 2014. "Corporate Liquidations in Ireland," Economic Letters 06/EL/14, Central Bank of Ireland.

    More about this item

    Keywords

    corporate default; bankruptcy; survival analysis;

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

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