International comparison of the relevant variables in the chosen bankruptcy models used in the risk management

Authors

  • Katarina Zvarikova University of Zilina
  • Erika Spuchlakova University of Zilina
  • Gabriela Sopkova University of Economics in Bratislava

DOI:

https://doi.org/10.24136/oc.v8i1.10

Keywords:

company failure, bankruptcy prediction models, relevant variables, transit economy

Abstract

Research background: It does not matter if the company is operating in the domestic or in the international environment; its failure has serious impact on its environment. Because of this fact it is not surprising that not only owners of the companies, but also another interested groups are focused on the prediction of the company´s financial health.
Purpose of the article: The first studies concerned with this issue are dating back to 1930 but from this time a hundreds of bankruptcy prediction models have been constructed all over the world. Some of them are known world-wide and some of them are known only on the national level. Many researchers share their opinion, that it is not appropriate to use foreign models in the domestic conditions non-critically, because they were constructed in the different conditions. One of the main problems are used variables.
Methods: We mention three studies which were focused on the used variables in the bankruptcy prediction models. Our comparative study was concerning with 42 models constructed in the seven chosen transit economics with the aim to realize which variables are relevant and which could be reduce from the bankruptcy prediction models. We focused only on the used variables and abstracted from the used methodology, the date of their construction or the model´s power of relevancy.
Findings and Value added: The result of our comparative study is the identification of 20 variables, which were used in three or more prediction models, so we assume that these variables have the best prediction ability in the condition of transit economics and their application should be consider in the construction of new models.

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References

Altman, E. I. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance, 23(4). doi: 10.1111/j.1540-6261.1968.tb00843.x.
Armeanu, D., (2012). Using quantitative data analysis techniques for bankruptcy risk estimation for corporations. Theoretical and Applied Economics, 19(1).
Aziz, M., & Dar, H. A. (2006). Predicting corporate bankruptcy: where we stand? Corporate Governance, 6(1). doi: 10.1108/14720700610649436.
Boďa, M. (2009). Predicting bankruptcy of Slovak enterprises by an artificial neural network. Forum Statisticum Slovacum, 5(6).
Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research, 4. doi: 10.2307/2490171.
Bellovary, J., Giacomino, D., & Akers, M. (2007). A review of bankruptcy prediction studies: 1930 to present. Journal of Financial Education, 33.
Bernhardsen, E. (2001). A model of bankruptcy prediction. Retrieved from http://www.norges-bank.no/Upload/import/publikasjoner/arbeidsnotater/pdf/arb -2001-10.pdf.
Cisko, Š., & Klieštik, T. (2013). Finančný manažment podniku II. Zilina: EDIS.
Delina, R., & Packová, M. (2013). Validácia predikčných modelov v podmienkach SR. Ekonomie a manažment, 16(3).
Fitzpatrick, P. (1932). A comparison of ratios of successful industrial enterprises with those of failed firms. Certified Public Accountant, 598-605, 656-662, and 727-731.
Frajtova-Michalikova, K, Kliestik, T., & Musa, H. (2015). Comparison of nonparametric methods for estimating the level of risk in finance. Procedia Economics and Finance, 24. doi: 10.1016/S2212-5671(15)00653-X.
Fulmer, J. G. (1984). A bankruptcy classification model for small firms. Journal of Commercial Bank Lending, July.
Grunwald, R. & Holečková, J. (2007). Finační analýza a plánovaní podniku. Praha, Czech Republic: EKOPRESS.
Gulka, M. (2016). Model predikcie úpadku obchodných spoločností podnikajúcich v podmienkach SR. Forum Statisticum Slovacum, 12(1).
Gurčík, L. (2002). G-index-metóda predikce finančního stavu poľnohospodárských podnikov. Zemědělská ekonomika, 48(8).
Hajdu, O., & Virág, M. (2001). A Hungarian model for predicting financial bankruptcy. Society and Economy in Central and Eastern Europe. doi: 10.2307/41468499.
Jakubík, P., & Teplý, P. (2011). The JT index as an indicator of financial stability of corporate sector. Prague Economic Papers, 2. doi: 10.18267/j.pep.394.
Knezevic, G., Stanisic, N., & Mizdrakovic, V. (2014). Predictive ability of the business excellence model: the case of foreign Investors in Serbia from 2008-2012. Teme, 38(4).
Kováč, Š. (2013). Identifikácia rizikových podnikov v Košickom kraji. Forum Statisticum Slovacum, 9(6).
Kralicek, P. (1993). Základy finančniho hospodárení. Praha: LINDE.
Kral, P., & Bartosova, V. (2016). A methodological framework of financial analysis results objectification in the Slovak Republic. In 3rd International conference on business and economics. Book Series: European Proceedings of Social and Behavioural Sciences, 17. doi: 10.15405/epsbs.2016.11.02.18.
Macovei, A. (n.d.). The analysis of bankruptcy risk at the enterprise level. Retrieved from http://www.dafi.ase.ro/revista/7/Alina_Macovei.pdf.
Makeeva, E., & Neretina, E. (2013). The prediction of bankruptcy in a construction industry of Russian Federation. Journal of Modern Accounting and Auditing, 9(2).
Misankova, M., Spuchlakova, E., & Frajtova-Michalikova, K. (2015). Determination of default probability by loss given default. Procedia Economics and Finance, 26. doi: 10.1016/S2212-5671(15)00815-1.
Muntean, M., & Solomon, D. (2011). Some Romanian models of the bankruptcy analysis in firm´s management market. Economy Transdisciplinarity Cognition, 14(1).
Ohlson, J. A. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18(1). doi: 10.2307/2490395.
Parvia, R., & Szeliga-Kowalczyk, A. (2015). Forecasting correctness of incurring credit with the aid of E.I., Altman´s, J Gajka´s and D. Stos´s discriminant analysis models on the example of 200 studied companies form Opole and Lubuskie provinces. In Procedings of IAC-Mem 2015. Wiena.
Prusak, B. (2005). Modern methods of predicting financial risk in companies. Warszawa: Difin.
Ravi Kumar, P., & Ravi, V. (2007). Bankruptcy prediction in banks and firms via statistical and intelligent techniques ? a review. European Journal of Operational Research, 18(1). doi: 10.1016/j.ejor.2006.08.043.
Roháčová, V., & Kráľ, P. (2013). Measuring the efficiency of public road transport companies in the Slovak republic using DEA and SFA. Statistika: Statistic and Economy Journal, 96(4).
Sedláková, I. (2016). Testovanie úspešnosti predikčných modelov. Forum Statisticum Slovacum, 10(4).
Shirata, C. Y. (2002). The bankruptcy prediction model ?SAF 2002 model. Chuo-Keizai Sha.
Taffler, R. J. (1982). Forecasting company failure in the UK using discriminant analysis and financial ratio data. Journal of the Royal Statistical Society, 145. doi: 10.2307/2981867.
Vavřina, J., Hampel, D., & Janová, J. (2013). New approaches for the financial distress classification in agribusiness. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 61(4). doi: 10.11118/actaun201361041177.
Virág, M., & Kristóf, T. (2005). Neural networks in bankruptcy prediction ? a comparative study on the basis of the first Hungarian bankruptcy model. Acta Oeconomica, 55(4). doi: 10.1556/AOecon.55.2005.4.2.
Zalai, K. (2000). Finančno-ekonomická analýza podniku. Bratislava: Sprint.
Zavrgen, C.H. V. (1985). Assessing the vulnerability to failure of American industrial firms: a logistic analysis. Journal of Business Finance & Accounting, 12(1). doi: 10.1111/j.1468-5957.1985.tb00077.x.
Zielińska-Chmielewska, A. (2015). Use of chosen discrimination models in the assessment of bankruptcy risk in meat processing enterprises. Journal of Agriculture & Rural Development, 2(36). doi: 10.17306/JARD.2015.39.
Zmijewski, M. (1984).. Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research, 22.

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Published

31-03-2017

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How to Cite

Zvarikova, K., Spuchlakova, E., & Sopkova, G. (2017). International comparison of the relevant variables in the chosen bankruptcy models used in the risk management. Oeconomia Copernicana, 8(1), 145-157. https://doi.org/10.24136/oc.v8i1.10

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