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Prediction of Default of Small Companies in the Slovak Republic


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Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Kumar, V., Ajayi, S. O., Akinade, O. O., & Bilal, M. (2018). Systematic review of bankruptcy prediction models: Towards a framework for tool selection. Expert Systems with Applications, 94, 164-184. doi:10.1016/j.eswa.2017.10.04010.1016/j.eswa.2017.10.040Open DOISearch in Google Scholar

Alaminos, D., Castillo, A. D., & Fernández, M. Á. (2016). A Global Model for Bankruptcy Prediction. Plos One, 11(11). doi:10.1371/journal.pone.016669310.1371/journal.pone.0166693Open DOISearch in Google Scholar

Altman, E. I., Iwanicz-Drozdowska, M., Laitinen, E. K., & Suvas, A. (2014). Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altmans Z-Score Model. SSRN Electronic Journal. doi:10.2139/ssrn.253634010.2139/ssrn.2536340Open DOISearch in Google Scholar

Boritz, J. E., Kennedy, D. B., & Sun, J. Y. (2007). Predicting Business Failures in Canada*. Accounting Perspectives, 6(2), 141-165. doi:10.1506/g8t2-k05v-1850-52u410.1506/g8t2-k05v-1850-52u4Open DOISearch in Google Scholar

Hebak, P., Hustopecky, J., Jarosova, E., & Pecakova, I. (2007). Vicerozmerne statisticke metody 1. Praha: Informatorium.Search in Google Scholar

Christidis, A., & Gregory, A. (2010). Some New Models for Financial Distress Prediction in the UK. SSRN Electronic Journal. doi:10.2139/ssrn.168716610.2139/ssrn.1687166Open DOISearch in Google Scholar

Khademolqorani, S., Hamadani, A. Z., & Rafiei, F. M. (2015). A Hybrid Analysis Approach to Improve Financial Distress Forecasting: Empirical Evidence from Iran. Mathematical Problems in Engineering, 2015, 1- 9. doi:10.1155/2015/17819710.1155/2015/178197Open DOISearch in Google Scholar

Kliestik, T., Kocisova, K., & Misankova, M. (2015). Logit and Probit Model used for Prediction of Financial Health of Company, Procedia Economics and Finance, 23, 850-855. doi:10.1016/S2212-5671(15)00485-2.10.1016/S2212-5671(15)00485-2Open DOISearch in Google Scholar

Kovacova, M., & Kliestik, T. (2017). Logit and Probit application for the prediction of bankruptcy in Slovak companies. Equilibrium. Quarterly Journal of Economics and Economic Policy, 12(4), 775-791. Doi:10.24136/eq.v12i4.4010.24136/eq.v12i4.40Search in Google Scholar

Kral, P., & Bartosova, V. (2016). Examining interdependence of MDA bankruptcy models´ ability to predict and variables involved. In The economies of Balkan and Eastern Europe countries in the changing world - EBEEC 2016. Conference proceedings, 54-61.Search in Google Scholar

Kral, P., Kanderova, M., Kascakova, A., Nedelova, G., & Valencakova, V. (2009). Viacrozmerne statisticke metody so zameranim na riesenie problemov ekonomickej praxe. [Accessed 19.03.2017]. Available from Internet: https://www.researchgate.net/publication/265785993_Viacrozmerne_statisticke_metody_so_zameranim_na_riesenie_problemov_ekonomickej_praxeSearch in Google Scholar

Misankova, M., Zvarikova, K., & Kliestikova, J. (2017). Bankruptcy practice in countries of Visegrad Four. Economics and culture, 14(1), 108-118.10.1515/jec-2017-0010Search in Google Scholar

Sandin, A. R., & Porporato, M. (2008). Corporate bankruptcy prediction models applied to emerging economies. International Journal of Commerce and Management, 17(4), 295-311. doi:10.1108/1056921071084437210.1108/10569210710844372Open DOISearch in Google Scholar

Singh, B. P., & Mishra, A. K. (2016). Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies. Financial Innovation, 2(1). doi:10.1186/s40854-016-0026-910.1186/s40854-016-0026-9Open DOISearch in Google Scholar

Wang, Y., & Campbell, M. (2018). Do Bankruptcy Models Really Have Predictive Ability? Evidence using China Publicly Listed Companies. International Management Review, 6(2), 77-82.Search in Google Scholar

Zhang, G., Hu, M. Y., Patuwo, B. E., & Indro, D. C. (1999). Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis. European Journal of Operational Research, 116(1), 16-32. doi:10.1016/s0377-2217(98)00051-410.1016/s0377-2217(98)00051-4Open DOISearch in Google Scholar

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. Doi:10.24136/oc.v8i1.1010.24136/oc.v8i1.10Search in Google Scholar

eISSN:
2256-0173
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Business and Economics, Political Economics, other, Business Management, Law, Commercial Law, Social Sciences, Education