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2018 | 11 | nr 4 | 282--294
Tytuł artykułu

Comprehensive Assessment of the Selected Indicators of Financial Analysis in the Context of Failing Companies

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Financial ratios can be considered a crucial determinant of reliability for the bankruptcy prediction models. Therefore, it is necessary to be vigilant during the preparation of bankruptcy prediction models so that to include those ratios, which ensure the highest degree of predictive power. The aim of this paper is to define the so-called etalon unsuccessful business that can serve as a standard comparative basis for other unsuccessful companies operating in Slovak Republic. Own quantification of the selected ratios was created on the database of the published financial statements of several thousand businesses operating in Slovak Republic between 2014 and 2015. This database has undergone extensive filtration of extreme data for maximal objectification of the results. Universal criterion for inclusion of a enterprise into the category of unsuccessful enterprises through the values of the three ratios (R1, L3, Z4) have been created. This criterion was named as unsuccessfulness indicators while respecting the applicable legal standards of Slovak Republic governing the conditions of unsuccessfulness. (original abstract)
Rocznik
Tom
11
Numer
Strony
282--294
Opis fizyczny
Twórcy
autor
  • University of Zilina, Slovakia
autor
  • Matej Bel University in Banska Bystrica, Slovakia
  • Spiru Haret University, Romania
  • University of Zilina, Slovak Republic
  • Institute of Technology and Business in Ceske Budejovice, Czech Republic
Bibliografia
  • Al-Kassar, T. A., & Soileau, J. S. (2014). Financial performance evaluation and bankruptcy prediction (failure) 1. Arab Economic and Business Journal, 9(2), 147-155.
  • Al-Kassar, T., & Soileau, J. (2012). Design and Applied Mathematical Model of Measuring Financial Performance Evaluation: Jordan Results. Oil, Gas & Energy Quarterly, 60(3), 621-636.
  • Balcaen, S., & Ooghe, H. (2006). 35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems. The British Accounting Review, 38(1), 63-93.
  • Balcerzak, A. P., Kliestik, T., Streimikiene, D., & Smrčka, L. (2017). Non-parametric approach to measuring the efficiency of banking sectors in European Union Countries. Acta Polytechnica Hungarica, 14(7), 51-70.
  • Bemmann, M. (2005). Improving the Comparability of Insolvency Predictions. Dresden Discussion Paper in Economics, 8, 148.
  • Cinca, C. S., Molinero, C. M., & Larraz, J. G. (2005). Country and size effects in financial ratios: A European perspective. Global Finance Journal, 16(1), 26-47.
  • Delen, D., Kuzey, C., & Uyar, A. (2013). Measuring firm performance using financial ratios: A decision tree approach. Expert Systems with Applications, 40(10), 3970-3983.
  • Dobrovic, J., Lambovska, M., Gallo, P., & Timkova, V. (2018). Non-financial indicators and their importance in small and medium-sized enterprises. JOURNAL OF COMPETITIVENESS, 10(2), 41-55.
  • Gavurova, B., Belas, J., Kocisova, K., & Kliestik, T. (2017). Comparison of selected methods for performance evaluation of Czech and Slovak commercial banks. Journal of Business Economics and Management, 18(5), 852-876.
  • Horrigan, J. O. (1965). Some empirical bases of financial ratio analysis. The Accounting Review, 40(3), 558-568.
  • Janoskova, K., & Kliestikova, J. (2018). Analysis of the Impact of Selected Determinants on Brand Value. Journal of International Studies, 11(1), 152-162.
  • Kliestik, T., Misankova, M., Valaskova, K. & Svabova, L. (2018) Bankruptcy prevention: new effort to reflect on legal and social changes. Science and Engineering Ethics, 24(2), 791-803.
  • Kumar, P. R., & Ravi, V. (2007). Bankruptcy prediction in banks and firms via statistical and intelligent techniques-A review. European journal of operational research, 180(1), 1-28.
  • Lando, D. (2004). Credit risk modeling: Theory and Application. New Jersey: Princeton University Press.
  • Liang, D., Lu, C. C., Tsai, C. F., & Shih, G. A. (2016). Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study. European Journal of Operational Research, 252(2), 561-572.
  • Liang, Q., Xu, P., & Jiraporn, P. (2013). Board characteristics and Chinese bank performance. Journal of Banking & Finance, 37(8), 2953-2968.
  • Libby, R. (1975). Accounting ratios and the prediction of failure: Some behavioral evidence. Journal of Accounting Research, 150-161.
  • Maricica, M., & Georgeta, V. (2012). Business failure risk analysis using financial ratios. Procedia - Social and Behavioral Sciences, 62, 728-732.
  • Mears, P. (1966). Financial Ratios As Predictors Of Failure-Discussion. Journal of Accounting Research, 4, 119-122.
  • Mihalovic, M. (2016). Performance comparison of multiple discriminant analysis and logit models in bankruptcy prediction. Economics & Sociology, 9(4), 101-118. doi: 10.14254/2071-789X.2016/9-4/6
  • Mousavi, M. M., Ouenniche, J., & Xu, B. (2015). Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework. International Review of Financial Analysis, 42, 64-75.
  • Rowland, Z., Dvorakova, L. & Pousek, P. (2016). Stanovení bankrotního modelu dopravních podnikú v CR pomoci vicenasobne diskriminacni analyzy. Ekonomicko-manazerske spektrum, 1, 2-11.
  • Svabova, L., & Durica, M. (2016). Korelačná analýza prediktorov použitých v bankrotných predikčných modeloch na Slovensku. Ekonomicko manazerske spektrum, 10(1), 2-11.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171542602

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