Open Access
Issue
SHS Web Conf.
Volume 74, 2020
The 19th 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
  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). [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) [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). [Google Scholar]
  25. C. Merwin. Financing small corporations in five manufacturing industries. New York: National bureau of economic research (1942). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.