[
Abellán, J. & Mantas, C.J., (2014). Improving Experimental Studies About Ensembles of Classifiers for Bankruptcy Prediction and Credit Scoring. Expert Systems with Applications, 41(8), 3825-3830.10.1016/j.eswa.2013.12.003
]Search in Google Scholar
[
Adamowicz, K. & Noga, T. (2017). Assessment Applicability of Selected Models of Multiple Discriminant Analyses to Forecast Financial Situation of Polish Wood Sector Enterprises. Folia Forestalia Polonica. Series A. Forestry, 59(1), 59-67.10.1515/ffp-2017-0006
]Search in Google Scholar
[
Altman, E.I., (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4), 589-609.10.1111/j.1540-6261.1968.tb00843.x
]Search in Google Scholar
[
Altman, E.I., (2018). A Fifty-year Retrospective on Credit Risk Models, the Altman Z-score Family of Models and Their Applications to Financial Markets and Managerial Strategies. Journal of Credit Risk, 14(4), 1-34.10.21314/JCR.2018.243
]Search in Google Scholar
[
Altman, E.I., Haldeman, R.G. & Narayanan, P. (1977). ZETATM Analysis A New Model to Identify Bankruptcy Risk of Corporations. Journal of Banking & Finance, Elsevier, 1(1), 29-54.10.1016/0378-4266(77)90017-6
]Search in Google Scholar
[
Altman, E.I. & Hotchkiss, E., (2006). Corporate Financial Distress and Bankruptcy. 3 Ed., New Jersey: John Wiley & Sons, Inc., Hoboken.
]Search in Google Scholar
[
Altman, E.I., Marco, G. & Varetto, F. (1994). Corporate Distress Diagnosis: Comparisons Using Linear Discriminant Analysis and Neural Networks (the Italian Experience). Journal of Banking and Finance, 18(3), 505-529.10.1016/0378-4266(94)90007-8
]Search in Google Scholar
[
Barauskaite, G. & Streimikiene, D. (2021). Corporate Social Responsibility and Financial Performance of Companies: The Puzzle of Concepts, Definitions and Assessment Methods. Corporate Social Responsibility and Environmental Management, 28(1), 278-287.10.1002/csr.2048
]Search in Google Scholar
[
Barboza, F., Basso, L.F.C. & Kimura, H., (2021). New Metrics and Approaches for Predicting Bankruptcy. Communications in Statistics-Simulation and Computation, 1-18. https://doi.org/10.1080/03610918.2021.1910837.
]Search in Google Scholar
[
Beaver, W.H. (1966). Financial Ratios as Predictors of Failure. Journal of Accounting Research, 4, 71-111.10.2307/2490171
]Search in Google Scholar
[
Bolek, M. & Gniadkowska-Szymańska, A., (2021). The Condition of Companies and their Growth Based on the Example of Companies Included in WIG and DAX Indices. Finanse i Prawo Finansowe, 2(30), 25-44.10.18778/2391-6478.2.30.02
]Search in Google Scholar
[
Bombiak, E., (2010). Modele dyskryminacyjne jako metoda oceny sytuacji finansowej przedsiębiorstwa. Zeszyty Naukowe Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach, Seria: Administracja i Zarządzanie, 86, 141-152.
]Search in Google Scholar
[
Brezigar-Masten, A. & Masten, I., (2012). CART-based Selection of Bankruptcy Predictors for the Logit Model. Expert systems with applications, 39(11), 10153-10159.10.1016/j.eswa.2012.02.125
]Search in Google Scholar
[
Bustani, B., Kurniaty, K. & Widyanti, R. (2021). The Effect of Earning Per Share, Price to Book Value, Dividend Payout Ratio, and Net Profit Margin on the Stock Price in Indonesia Stock Exchange. Journal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship, 11(1), 1-18.10.30588/jmp.v11i1.810
]Search in Google Scholar
[
Cahyaningrum, Y.W., Antikasari, T.W., (2017). The Influence of Earning Per Share, Price to Book Value, Return on Asset, and Return on Equity to Stock Price in Finance Company. Journal Economia, 13(2), 191-200.
]Search in Google Scholar
[
Czerwińska, A., Michna, A., Męczyńska, A. (2013). Determinanty rozwoju małych i średnich przedsiębiorstw sektora budowlanego. Zarządzanie i Finanse, 4(2), 79-80.
]Search in Google Scholar
[
Dakua, S., (2019). Effect of Determinants on Financial Leverage in Indian Steel Industry: A Study on Capital Structure. International Journal of Finance & Economics, 24(1), 427-436.10.1002/ijfe.1671
]Search in Google Scholar
[
Damodaran, A., (2008). Equity Risk Premiums (ERP): Determinants, Estimation and Implications. Estimation and Implications. Working Paper, 1-77.10.2139/ssrn.1274967
]Search in Google Scholar
[
Danbolt, J., Hirst, I.R. & Jones, E., (2011). The Growth Companies Puzzle: Can Growth Opportunities Measures Predict Firm Growth? The European Journal of Finance, 17(1), 1-25.
]Search in Google Scholar
[
Dittmann, D., Szabela-Pasierbińska, E. & Szpulak, A., (2008). Prognozowanie w zarządzaniu przedsiębiorstwem. Kraków: Oficyna Wolters Kluwer Business.
]Search in Google Scholar
[
Farrokh, S., Kordnaeij, A. & Zali, M.R., (2016). Factors Affecting the Growth of Small and Medium-sized Enterprises. Ijaber, 14(10), 6199-6216.
]Search in Google Scholar
[
Gajdka, J., Stos, D., (1996). Wykorzystanie analizy dyskryminacyjnej w ocenie kondycji finansowej przedsiębiorstw. In: R. Borowiecki (Ed.), Restrukturyzacja w procesie przekształceń i rozwoju przedsiębiorstw, AE Kraków.
]Search in Google Scholar
[
Georgescu, N., (2009). Relevance Of Accounting Ratios In Analyzing Company Performance. Metalurgia International, 14(8), 85-91.
]Search in Google Scholar
[
Gniadkowska-Szymańska, A. & Bolek, M., (2018). Ocena kondycji ekonomicznej i płynności finansowej przedsiębiorstwa na rynku kapitałowym w świetle Prawa Upadłościowego. Finanse, Rynki Finansowe, Ubezpieczenia, 91, 11-22.
]Search in Google Scholar
[
Gniadkowska-Szymańska, A. & Bolek, M., (2018). Ocena kondycji ekonomicznej i płynności finansowej przedsiębiorstwa na rynku kapitałowym w świetle Prawa Upadłościowego. Finanse, Rynki Finansowe, Ubezpieczenia, 91(1), 11-22.
]Search in Google Scholar
[
Hartanti, W., Hermuningsih, S. & Mumpuni, D.L. (2019). Pengaruh Earning Per Share Dan Debt To Equity Ratio Terhadap Return Saham Dengan Kebijakan Deviden Sebagai Intervening Pada Perusahaan Property & Real Estate Yang Terdaftar Di Bei Periode 2013-2017. Journal Sains Manajemen Dan Bisnis Indonesia, 9(1), 34-44.
]Search in Google Scholar
[
Hristov, I., Chirico, A. & Appolloni, A., (2019). Sustainability Value Creation, Survival, and Growth of the Company: A Critical Perspective in the Sustainability Balanced Scorecard (SBSC). Sustainability, 11(7), 2119-2138.10.3390/su11072119
]Search in Google Scholar
[
Ibrahem, N.A., Elghareeb, H., Farahat, F.F. & AboElfotouh, A., (2021). Comparative Mathematical Model for Predicting of Financial Loans Default using Altman Z-Score and Neutrosophic AHP Methods. Neutrosophic Sets & Systems, 43(2021), 24-43.
]Search in Google Scholar
[
Johnson, R. & Soenen L. (2003). Indicators of Successful Companies. European Management Journal, 21(3), 364–369.10.1016/S0263-2373(03)00050-1
]Search in Google Scholar
[
Kočišová, K. & Mišanková, M., (2014). Discriminant Analysis as a Tool for Forecasting Company’s Financial Health. Procedia-Social and Behavioral Sciences, 110(2014), 1148-1157.
]Search in Google Scholar
[
Mączyńska, E. & Zawadzki, M. (2006). Dyskryminacyjne modele predykcji bankructwa przedsiębiorstw. Ekonomista, 2(2006), 205-235.
]Search in Google Scholar
[
McKee, T.E. & Lensberg, T. (2002). Genetic Programming and Rough Sets: A Hybrid Approach to Bankruptcy Classification. European Journal of Operational Research, 138(2), 436-451.10.1016/S0377-2217(01)00130-8
]Search in Google Scholar
[
Moghimi, R. & Anvari, A. (2012). An Integrated Fuzzy MCDM Approach and Analysis to Evaluate the Financial Performance of Iranian Cement Companies. International Journal of Advanced Manufacturing Technology, 71(1-4), 685-698.
]Search in Google Scholar
[
Mohamad, A., Azad, M. & Sifat, I.M., (2021). Predicting Financial Distress in an Emerging Market: Corporate Actions, Accounting Ratios, or both? American Journal of Finance and Accounting, 6(3-4), 314-331.10.1504/AJFA.2021.117217
]Search in Google Scholar
[
Mosteanu, N.R., Faccia, A., Torrebruno, G. & Torrebruno, F. (2019). The Newest Intelligent Financial Decisions Tool: Fractals. A Smart Approach to Assess the Risk. The Business & Management Review, 10(2), 89-97.
]Search in Google Scholar
[
Ohlson, J.A. (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(1), 109-131.10.2307/2490395
]Search in Google Scholar
[
Olszewska, K. & Turek, T. (2018). Analiza dyskryminacyjna jako narzędzie informacyjne w zakresie kondycji finansowej przedsiębiorstwa. Zeszyty Naukowe Politechniki Częstochowskiej. Zarządzanie, (31), 175-186.10.17512/znpcz.2018.3.15
]Search in Google Scholar
[
Pawełek, B., Gałuszka, K., Kostrzewska, J. & Kostrzewski, M. (2017). Classification Methods in the Research on the Financial Standing of Construction Enterprises After Bankruptcy in Poland. In: Data Science (pp. 29-42). Cham: Springer.
]Search in Google Scholar
[
Pilch, B., (2021). An Analysis of the Effectiveness of Bankruptcy Prediction Models–an Industry Approach. Folia Oeconomica Stetinensia, 21(2), 76-96.10.2478/foli-2021-0017
]Search in Google Scholar
[
Pitera, R., (2021). An Assessment of the Reliability of Early Warning Models on the Example of Small and Mediumsized Enterprises in the Industry and Services Sector. Studia Prawno-Ekonomiczne, 119(2021), 315-331.
]Search in Google Scholar
[
Prusak, B., (2018). Review of Research Into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries. International Journal of Financial Studies, 6(3), 1-28.10.3390/ijfs6030060
]Search in Google Scholar
[
Ribeiro, B., Silva, C., Chen, N., Vieira, A. & das Neves, J.C., (2012). Enhanced Default Risk Models with SVM+. Expert Systems with Applications, 39(11), 10140-10152.10.1016/j.eswa.2012.02.142
]Search in Google Scholar
[
Saputri, H.A. & Krisnawati, A., (2020). Comparative Analysis of Modified Altman Z-Score, Springate, Zmijewski, Bank-ometer, Grover, and RGEC Models for Financial Distress Prediction (Empirical Study in Banking Companies Listed on IDX 2011-2016). International Journal of Multicultural and Multireligious Understanding, 7(4), 260-278.
]Search in Google Scholar
[
Springate, G.L., (1978). Predicting the Possibility of Failure in a Canadian Firm: A Discriminant Analysis (Doctoral dissertation, Simon Fraser University.
]Search in Google Scholar
[
Stefański, A., (2010). Analiza dyskryminacyjna na przykładzie wybranych modeli polskich i zagranicznych, Rozwój lokalny i regionalny. Innowacyjność i rozwój przedsiębiorstw. In: Dylewski, M. (Ed.), Zeszyty Naukowe Wyższej Szkoły Bankowej w Poznaniu, 27(2010), 251-264.
]Search in Google Scholar
[
Tinoco, M.H., Wilson, N., (2013). Financial Distress and Bankruptcy Prediction Among Listed Companies Using Accounting, Market and Macroeconomic Variables. International Review of Financial Analysis, Vol. 30(2013), 394-419.
]Search in Google Scholar
[
Vochozka, M., (2010). Development of Methods for Comprehensive Evaluation of Business. Performance Politicka Ekonomie, 58(5), 675-688.10.18267/j.polek.754
]Search in Google Scholar
[
Wallace, W.A., (2004). Risk Assessment by Internal Auditors Using Past Research on Bankruptcy Applying Bankruptcy Models, 28(1), 1-22.
]Search in Google Scholar
[
Xie, C., Luo, C. & Yu, X., (2011). Financial Distress Prediction Based on SVM and MDA Methods: the Case of Chinese Listed Companies. Quality & Quantity, 45(3), 671-686.10.1007/s11135-010-9376-y
]Search in Google Scholar
[
Zhang, B., Zheng, X., (2012). The Application Of Adjusted Dupont Model In Financial Performance Evaluation Book Series: Business and Management, 10(3), 262-268.
]Search in Google Scholar
[
Zmijewski, M.E., (1984). Methodological Issues Related to the Estimation of Financial Distress Prediction Models. Journal of Accounting Research, 22(1984), 59-82.
]Search in Google Scholar