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Do firm failure processes differ across countries: evidence from Finland and Estonia

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  • Erkki K. Laitinen
  • Oliver Lukason

Abstract

This study considers the novel topic of comparing firm failure processes between different countries. For seventy bankrupt Finnish firms corresponding pairs are found among Estonian bankrupt firms based on industry, size and time of bankruptcy. Despite the similarity of firms from two countries, the analysis shows remarkable differences in both pre-failure financial data and reasons for failure. Based only on financial data, five failure processes are detected for Finnish and six for Estonian firms. Established failure processes associate with different failure reasons. The study contributes to literature by showing that for similar companies failure processes can differ across countries. In practice, the established information about different failure processes can be applied when building or using bankruptcy prediction models.

Suggested Citation

  • Erkki K. Laitinen & Oliver Lukason, 2014. "Do firm failure processes differ across countries: evidence from Finland and Estonia," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(5), pages 810-832, November.
  • Handle: RePEc:taf:jbemgt:v:15:y:2014:i:5:p:810-832
    DOI: 10.3846/16111699.2013.791635
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    References listed on IDEAS

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    1. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    2. Lensberg, Terje & Eilifsen, Aasmund & McKee, Thomas E., 2006. "Bankruptcy theory development and classification via genetic programming," European Journal of Operational Research, Elsevier, vol. 169(2), pages 677-697, March.
    3. Laitinen, Ek, 1993. "Financial predictors for different phases of the failure process," Omega, Elsevier, vol. 21(2), pages 215-228, March.
    4. Janos Kornai, 2006. "The Great Transformation Of Central Eastern Europe: Success And Disappointment - First Published," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 2(4), pages 11-38.
    5. Jaan Masso & Priit Vahter, 2008. "Technological innovation and productivity in late-transition Estonia: econometric evidence from innovation surveys," The European Journal of Development Research, Taylor and Francis Journals, vol. 20(2), pages 240-261.
    6. 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.
    7. János Kornai, 2008. "The Great Transformation of Central Eastern Europe: Success and Disappointment," International Economic Association Series, in: János Kornai & László Mátyás & Gérard Roland (ed.), Institutional Change and Economic Behaviour, chapter 1, pages 1-37, Palgrave Macmillan.
    8. 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.
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    2. Muñoz-Izquierdo, Nora & Segovia-Vargas, María Jesús & Camacho-Miñano, María-del-Mar & Pascual-Ezama, David, 2019. "Explaining the causes of business failure using audit report disclosures," Journal of Business Research, Elsevier, vol. 98(C), pages 403-414.
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    5. Keijo Kohv & Oliver Lukason, 2021. "What Best Predicts Corporate Bank Loan Defaults? An Analysis of Three Different Variable Domains," Risks, MDPI, vol. 9(2), pages 1-19, January.

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