«Proceedings of Gubkin University»

LOGIT-REGRESSION MODELS TO PREDICT THE BANKRUPTCY OF COMPANIES

UDC: 658(075.8)
DOI: -

Authors:

¹ Proccedings of Gubkin Russian State University of Oil and Gas

Keywords: bankruptcy, bankruptcy prediction, financial analysis, economic and mathematical models, logistic regression, logit-model estimate of probability of bankruptcy, bankruptcy model, financial condition of companies, multiplicative discriminant analysis (mda), logistic regression machine

Annotation:

The article considers the main foreign and domestic logit-regression models predicting bankruptcy, provides their characteristics and a brief analysis of the approach predicting bankruptcy using the apparatus of logistic regression. The main strengths and weaknesses are highlighted, as well as the possibility of using logit-models for predicting bankruptcy in the Russian context.

Bibliography:

1. Altman E.I. Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy//Journal of Finance 22, 1968.
2. Beaver W. Financial Ratios as Predictors of Failure. Empirical Research in Accounting: Selected Studies//Journal of Accounting Research, 1966. - Vol. 5.
3. Back В., Laitinen Т., Sere К., van Wezel M. Choosing Bankruptcy Predictors Using Discriminant Analysis, Logit Analysis, and Genetic Algorithms II Technical Report № 40. Turku Centre of Computer Science, September, 1996.
4. Chesser D.L. Predicting Loan Noncompliance//The Journal of Commercial Bank Lending, 56(12), 1974.
5. Ohlson J. Financial Ratios and the Probabilistic Prediction of Bankruptcy//Journal of Accounting Research, 1980. - Vol. 19.
6. Begley J., Ming, J., and Watts S. Bankruptcy Classification Errors in the 1980s:An Empiricl Analysis of Altman’s and Ohlson’s Models, Review of Accounting Studies, 1996. - № 1.
7. Korol T., Multi-Criteria Early Warning System Against Enterprise Bankruptcy Risk, EuroJournals Publishing, 2011.
8. Minussi J, Soopramanien DGR and Worthington DJ, 'Statistical modelling to predict corporate default for Brazilian companies in the context of Basel II using a new set of financial ratios', Lancaster University Management School Working Pape, 2007.
9. Хайдаршина Г.А. Эффективность современных методов оценки риска банкротства предприятий в российской практике финансового менеджмента: logitи SVM-модели//Экономи-ческие науки, 2008. - № 44.
10. Евстропов М.В. Оценка возможностей прогнозирования банкротства предприятий в России//Вестник Оренбургского государственного университета, 2008. - № 4.
11. Евстропов М.В. Прогнозирование наступления банкротства предприятий на основе бухгалтерской отчетности//Бухгалтерский учет, 2008. - № 3.
12. Lennox C. Identifying Failing Companies: A Re-evaluation of the Logit-, Probitand DA Approaches//Elsevier Science Inc, 1999.