Onofrei, Mihaela and Lupu, Dan (2014): The modelling of forecasting the bankruptcy in Romania. Published in: Economic Computation and Economic Cybernetics Studies and Research , Vol. 48, No. 3 (30 September 2014): pp. 197-217.
PDF
MPRA_paper_95511.pdf Download (758kB) |
Abstract
Bankruptcy prediction and the understanding of the causes for economic failure have a financial utility. The purpose of this study is to compare the predictive power, on the Romanian market, of the most popular bankruptcy models considering the firms listed on the BSE during 2007-2011. Using the principal component analysis, the best bankruptcy predictors of the established financial indicators were determined for Romanian companies.
Item Type: | MPRA Paper |
---|---|
Original Title: | The modelling of forecasting the bankruptcy in Romania |
English Title: | The modelling of forecasting the bankruptcy in Romania |
Language: | English |
Keywords: | bankruptcy prediction, PCA, MDA analysis, logit analysis |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C25 - Discrete Regression and Qualitative Choice Models ; Discrete Regressors ; Proportions ; Probabilities C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C83 - Survey Methods ; Sampling Methods |
Item ID: | 95511 |
Depositing User: | Dan Lupu |
Date Deposited: | 19 Aug 2019 10:34 |
Last Modified: | 06 Oct 2019 23:19 |
References: | 1. Altman E. (1968), Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy; Journal of Finance, XXIII(4), 589-609; 2. Altman, E. I., Hotchkiss, E. (2006), Predict and Avoid Bankruptcy, Analyze and Invest in Distressed Debt; Third Edition, New York, John Wiley & Sons; 3. Andrei T., Stancu S. and Tuşa E. (2008), Introducere în econometrie utilizând Eviews; Economica Publishing, Bucharest; 4. Andrei T., Bourbonnais R. (2008), Econometrie; Economica Publishing, Bucharest; 5. Aziz M.A., Dar H.A. (2004), Predicting Corporate Financial Distress: whither do we stand? University of Loughborough Working Paper; 6. Balcerowicz, E., Hashi I., Lowitzsch J., Szanyi M. (2003), The Development of Insolvency Procedures in Transition Economies: A Comparative Analysis; CASE, Warsow, no.3; 7. Back P. (2005), Explaining Financial Difficulties Based on Previous Payment Behavior, Management Background Variables and Financial Ratios; European Accounting Review, volume 14, no.4, 839–868; 8. Becchetti L., Sierra J. (2003), Bankruptcy Risk and Productive Efficiency in Manufacturing Companies ;Journal of Banking and Finance, volume 27, no.11, 2099–2120; 9. Begley, J., Ming, J., Watts, S. (1996), Bankruptcy Classification Errors in the 1980s: An Empirical Analysis of Altman’s and Ohlson’s Models; Review of Accounting Studies, volume 1, 267-284; 10. Blum M. (1974), Failing Company Discriminant Analysis ; Journal of Accounting Research, volume 12, no.1, 1-25; 11. Beaver W., McNichols M.F. (2005), Have Financial Statements Become less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy; Review of Accounting Studies, volume 1, no.92, 375-423; 12. Campbell J. Y., Hilscher J., Szilagyi J. (2008), In Search of Distress Risk; Journal of Finance, volume 63, 2899-2939; 13. Charitou A., Neophitou E. (2004), Predicting Corporate Failure: Empirical Evidence for the UK; European Accounting Review, 465-497; 14. Deakin E. (1972), A Discriminant Analysis of Predictors of Business Failure; Journal of Accounting Research, volume 10, 167-179; 15. Edmister R. (1972), An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction; Journal of financial and quantitative analysis, volume 7, no.2, 1477-1493; 16. Gallego A.G., Quintana M.M. (2012), Business Failure Prediction Models: Finding the Connection between their Results and the Sampling Method; Economic Computation and Economic Cybernetics Studies and Research, no.3; ASE Publishing, Bucharest; 17. Ginevičius R., Podvezko V., Novotny M. and Komka A. (2012), Comprehensive Quantitative Evaluation of the Strategic Potential of an Enterprise; Economic Computation and Economic Cybernetics Studies and Research, no.1; ASE Publishing, Bucharest; 18. Hillegeist S., Cram D., Keating E., Lundstedt K. (2004), Assessing the Probability of Bankruptcy ; Review of Accounting Studies, volume 9, no.1, 5-34; 19. Hotchkiss E.S. (1995), Post Bankruptcy Performance and Management Turnover; Journal of Finance, volume 50, 3-21; 20. Keasey K. (1990), The Failure of UK Industrial Firms for the Period 1976-1984: Logistic Analysis and Entropy Measure; Journal of Business Finance and Accounting, volume 17, no.1, 119-135; 21. Laitinen E.K. (1993), Financial Predictors for Different Phases of the Failure Process; International Journal of Management Science vol.21, no.2, 215–228; 22. Lizal L. (2002), Determinants of Financial Distress: What Drives Bankruptcy in a Transition Economy? The Czech Case; William Davidson Working Paper no.451, 1-25; 23. Lussier R. (1995), A Nonfinancial Business Succes versus Failure Prediction Model for Young Firms; Journal of Small Business Management, 8-20; 24. Mossman C.E., Bell G., Turtle H., Schwartz L. (1998), An Empirical Comparison of Bankruptcy Model; The Financial Review, volume 33, 33-54; 25. Ohlson J. (1980), Financial Ratios and the Probabilistic Prediction of Bankruptcy; Journal of Accounting Research, volume 18, 109-131; 26. Ooghe H., De Prijcker S. (2006), Failure Processes and Causes of Company Bankruptcy: A Typology; Department of Accountancy & Corporate Finance, Ghent University, Working Paper, No.388; 27. Platt H., Platt M., Pedersen, J. (1994), Bankruptcy Discrimination with Real Variables; Journal of Business Finance and Accounting, Volume 21, no.4, 491–510; 28. Sheppard J.P. (1994), Strategy and Bankruptcy: An Exploration into Organizational Death; Journal of Management, volume 20, no.4, 795-833; 29. Shumway T. (2001), Forecasting Bankruptcy More Accurately: A Simple Hazard Model ; Journal of Business, volume 74, 101-124; 30. Zmijewski M. (1984), Methodological Issues Related to the Estimation of Financial Distress Prediction Models; Journal of Accounting and Economics, Vol.3, no.1, 3-36; 31. Taffler R. J. (1992), The Assessment of Company Solvency and Performance Using a Statistical Model; Accounting and Business Research, no.52, 295-307; 32. Zavgren C. (1985), Assesing the Vulnerability to Failure of American Industrial Firms: A Logistic Analysis; Journal of Business Finance and Accounting, volume 12, issue 1, 19-45; 33. Vassalou M. and Xing Y. (2004), Default Risk in Equity Returns; Journal of Finance, volume 59, pp.831-868; 34. Wu Y., Gaunt C. and Gray S. (2010), A Comparison of Alternative Bankruptcy Prediction Models; Journal of Contemporary Accounting and Economics, volume 6, 34-45. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/95511 |