The verification of prediction and classification ability of selected Slovak prediction models and their emplacement in forecasts of financial health of a company in aspect of globalization

Dusan Karpac; Viera Bartosova

doi:10.1051/shsconf/20207406010

All issues

Volume 74 (2020)

SHS Web Conf., 74 (2020) 06010

References

Open Access

Issue		SHS Web Conf. Volume 74, 2020 The 19^th International Scientific Conference Globalization and its Socio-Economic Consequences 2019 – Sustainability in the Global-Knowledge Economy


Article Number		06010
Number of page(s)		7
Section		Economic Sustainability in Emerging Markets
DOI		https://doi.org/10.1051/shsconf/20207406010
Published online		10 January 2020

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V. Bartosova & P. Kral. A methodological framework of financial analysis results objectification in the Slovak republic. The European proceedings of social & behavioural sciences. Malaysia, Mara. 189-197 (2016). [Google Scholar]
P. Adamko & T. Kliestik. Proposal for a bankruptcy prediction model with modified definition of bankruptcy for Slovak companies. RSEP: international conferences on social issues and economic studies: conference book. Spain, Madrid, 1-7 (2016). [Google Scholar]
T. Kliestik & V. Dengov. Quantitative approach to risk as a social phenomenon. Proceedings of the 5th International Conference on Applied Social Science. Limasol, Cyprus. 28-33 (2015). [Google Scholar]
K. Zvarikova, E. Spuchlakova & G. Sopkova. International comparison of the relevant variables in the chosen bankruptcy models used in the risk management. In: Oeconomia Copernicana 145-157 (2017). [Google Scholar]
H. Zhang, H. He & W. Zhang. Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring. In: Neurocomputing. 316 210-221 (2018). [CrossRef] [Google Scholar]
W. Beaver. Financial ratios as Predictors of Failure. In: Journal of Accounting Research. 4 71-111 (1966). [CrossRef] [Google Scholar]
I. E. Altman. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23 589-609 (1968). [CrossRef] [Google Scholar]
K. Valaskova & I. Podhorska. Prediction models in the context of the international environment. In: 17th International Scientific Conference Globalization and It´s Socio-economic Consequences, Zilina. 2792-2800 (2017). [Google Scholar]
F. Zogning. Comparing Financial Systems around the World: Capital Markets, Legal Systems and Governance Regimes. In: Economics, Management and financial markets. 12 43-58 (2017). [CrossRef] [Google Scholar]
J. D. Van Heerden & P. Van Rensbug. Common Firm-Specific Charasteristics of Extreme Performers on the Johannesburg Securities Exchange. In: Economics, Management and financial markets. 12 25-50 (2017). [Google Scholar]
M. Stachova, P. Kral, L. Sobisek & M. Kakascik. Analysis of financial distress of Slovak companies using repeated measurements. In. 18th AMSE Applications of mathematics and statistics in economics. Jindrichuv Hradec, Czech Republic. 1-7 (2015). [Google Scholar]
J. Hurtosova. Construction of rating model, tool for assessing the creditworthiness of the company, dissertation thesis. Bratislava: University of economics in Bratislava (2016). [Google Scholar]
L. Lesakova, M. Vinczeova, L. Klement, V. Klementova & L. Elexe. Corporate planning in small and medium-sized enterprises. Banska Bystrica: Faculty of Economics of University of Matej Bell (2013). [Google Scholar]
J. Horvathova & M. Mokrisova. Determination of business performance applying modern methods of business performance evaluation. In: Economics Management Innovation. 6 46-60 (2014). [Google Scholar]
P. Gundova. Verification of the selected prediction methods in Slovak companies. In: Acta Academica Karviniensia. 26-38 (2014). [CrossRef] [Google Scholar]
T. Kliestik, K. Kocisova & M. Misankova. Logit and probit model used for prediction of financial health of company. In: Procedia – Economics and finance. 23 850-855 (2015). [CrossRef] [Google Scholar]
K. Valaskova, L. Svabova, & M. Durica. Verification of prediction models in conditions of the Slovak agricultural resort. In: Economics Management Innovation, 9 30-38 (2017). [Google Scholar]
K. Valaskova, T. Kliestik, L. Svabova & P. Adamko. Financial risk measurement and prediction modelling for sustainable development of business entities using regression analysis. In: Sustainability. 10 (2018) [CrossRef] [Google Scholar]
Z. Chrastinova. Methods of economic creditworthiness evaluation and prediction of financial situation of agricultural holdings. Bratislava: VUEPP (1998). [Google Scholar]
J. Miklovicova & L. Gurcik. The profit and added value creation and development analysis of agricultural companies in selected regions of Slovakia. In: Agricultural economics – Zemedelska ekonomika. 55 329-399 (2009). [Google Scholar]
D. Veganzones & E. Severin. An investigation of bankruptcy prediction in imbalanced datasets. In: Decision Support Systems. 112 111-124 (2018). [CrossRef] [Google Scholar]
T. Le, M. Lee, J. Park & S. Baik. Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction datasets. In: Symmetry-Basel. 10 (2018). [Google Scholar]
V. Klepac & D. Hampel. Prediction of bankruptcy with SVM classifiers among retail business companies in EU. In: Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. Mendelova Univerzita in Brno. 64 627-634 (2016). [CrossRef] [Google Scholar]
C. Merwin. Financing small corporations in five manufacturing industries. New York: National bureau of economic research (1942). [Google Scholar]

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[1] L. Svabova & P. Kral. Selection of predictors in bankruptcy prediction models for Slovak companies. In. 10th International Days of Statistics and Economics. Czech Republic, Praha. 1759-1768 (2016). [Google Scholar]

[2] V. Bartosova & P. Kral. A methodological framework of financial analysis results objectification in the Slovak republic. The European proceedings of social & behavioural sciences. Malaysia, Mara. 189-197 (2016). [Google Scholar]

[3] P. Adamko & T. Kliestik. Proposal for a bankruptcy prediction model with modified definition of bankruptcy for Slovak companies. RSEP: international conferences on social issues and economic studies: conference book. Spain, Madrid, 1-7 (2016). [Google Scholar]

[4] T. Kliestik & V. Dengov. Quantitative approach to risk as a social phenomenon. Proceedings of the 5th International Conference on Applied Social Science. Limasol, Cyprus. 28-33 (2015). [Google Scholar]

[5] K. Zvarikova, E. Spuchlakova & G. Sopkova. International comparison of the relevant variables in the chosen bankruptcy models used in the risk management. In: Oeconomia Copernicana 145-157 (2017). [Google Scholar]

[6] H. Zhang, H. He & W. Zhang. Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring. In: Neurocomputing. 316 210-221 (2018). [CrossRef] [Google Scholar]

[7] W. Beaver. Financial ratios as Predictors of Failure. In: Journal of Accounting Research. 4 71-111 (1966). [CrossRef] [Google Scholar]

[8] I. E. Altman. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 23 589-609 (1968). [CrossRef] [Google Scholar]

[9] K. Valaskova & I. Podhorska. Prediction models in the context of the international environment. In: 17th International Scientific Conference Globalization and It´s Socio-economic Consequences, Zilina. 2792-2800 (2017). [Google Scholar]

[10] F. Zogning. Comparing Financial Systems around the World: Capital Markets, Legal Systems and Governance Regimes. In: Economics, Management and financial markets. 12 43-58 (2017). [CrossRef] [Google Scholar]

[11] J. D. Van Heerden & P. Van Rensbug. Common Firm-Specific Charasteristics of Extreme Performers on the Johannesburg Securities Exchange. In: Economics, Management and financial markets. 12 25-50 (2017). [Google Scholar]

[12] M. Stachova, P. Kral, L. Sobisek & M. Kakascik. Analysis of financial distress of Slovak companies using repeated measurements. In. 18th AMSE Applications of mathematics and statistics in economics. Jindrichuv Hradec, Czech Republic. 1-7 (2015). [Google Scholar]

[13] J. Hurtosova. Construction of rating model, tool for assessing the creditworthiness of the company, dissertation thesis. Bratislava: University of economics in Bratislava (2016). [Google Scholar]

[14] L. Lesakova, M. Vinczeova, L. Klement, V. Klementova & L. Elexe. Corporate planning in small and medium-sized enterprises. Banska Bystrica: Faculty of Economics of University of Matej Bell (2013). [Google Scholar]

[15] J. Horvathova & M. Mokrisova. Determination of business performance applying modern methods of business performance evaluation. In: Economics Management Innovation. 6 46-60 (2014). [Google Scholar]

[16] P. Gundova. Verification of the selected prediction methods in Slovak companies. In: Acta Academica Karviniensia. 26-38 (2014). [CrossRef] [Google Scholar]

[17] T. Kliestik, K. Kocisova & M. Misankova. Logit and probit model used for prediction of financial health of company. In: Procedia – Economics and finance. 23 850-855 (2015). [CrossRef] [Google Scholar]

[18] K. Valaskova, L. Svabova, & M. Durica. Verification of prediction models in conditions of the Slovak agricultural resort. In: Economics Management Innovation, 9 30-38 (2017). [Google Scholar]

[19] K. Valaskova, T. Kliestik, L. Svabova & P. Adamko. Financial risk measurement and prediction modelling for sustainable development of business entities using regression analysis. In: Sustainability. 10 (2018) [CrossRef] [Google Scholar]

[20] Z. Chrastinova. Methods of economic creditworthiness evaluation and prediction of financial situation of agricultural holdings. Bratislava: VUEPP (1998). [Google Scholar]

[21] J. Miklovicova & L. Gurcik. The profit and added value creation and development analysis of agricultural companies in selected regions of Slovakia. In: Agricultural economics – Zemedelska ekonomika. 55 329-399 (2009). [Google Scholar]

[22] D. Veganzones & E. Severin. An investigation of bankruptcy prediction in imbalanced datasets. In: Decision Support Systems. 112 111-124 (2018). [CrossRef] [Google Scholar]

[23] T. Le, M. Lee, J. Park & S. Baik. Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction datasets. In: Symmetry-Basel. 10 (2018). [Google Scholar]

[24] V. Klepac & D. Hampel. Prediction of bankruptcy with SVM classifiers among retail business companies in EU. In: Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. Mendelova Univerzita in Brno. 64 627-634 (2016). [CrossRef] [Google Scholar]

[25] C. Merwin. Financing small corporations in five manufacturing industries. New York: National bureau of economic research (1942). [Google Scholar]