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Predictors of Financial Distress and Bankruptcy Model Construction

Author

Listed:
  • Dana Kubickova

    (University of Finance and Administration)

  • Vladimir Nulicek

    (University of Finance and Administration)

Abstract

The aim of this paper is to prepare the bankruptcy model construction. In the first part, multivariate discriminant analysis and its possibilities in deriving predictive models are characterized. The second part defines the possible indicators/predictors of financial distress of companies, which could be included in the new bankruptcy model. The model itself compares different views of factors that affect the company’s financial situation and contrasts the indicators that were constructed in the model in previous works (with special regard to the models in the transition economics). The result is the collection of 39 indicators to be verified in the next stage of the research project employing the multiple discriminant analysis methods to specify which of them to be included in the new model.

Suggested Citation

  • Dana Kubickova & Vladimir Nulicek, 2016. "Predictors of Financial Distress and Bankruptcy Model Construction," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 2(6), pages 34-41, May.
    • Handle: RePEc:mgs:ijmsba:v:2:y:2016:i:6:p:34-41
    DOI: 10.18775/ijmsba.1849-5664-5419.2014.26.1003
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    Citations

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    Cited by:

    1. Elena Gregova & Katarina Valaskova & Peter Adamko & Milos Tumpach & Jaroslav Jaros, 2020. "Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
    2. Katarina Valaskova & Dominika Gajdosikova & Jaroslav Belas, 2023. "Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries," Oeconomia Copernicana, Institute of Economic Research, vol. 14(1), pages 253-293, March.

    More about this item

    Keywords

    Bankruptcy models; Prediction ability; Indicators; Predictors of financial distress;
    All these keywords.

    JEL classification:

    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General

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