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2009 | 4 | 107--123
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Prediction of Bankruptcy Based on the Mathematical Programming

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The concern about the prediction of bankruptcy is not recent. Since the 1960s, several methods have been developed. The most popular is certainly the Multiple Discriminant Analysis. In this paper, we are developing a method based on Mathematical Programming. The global performance of every firm is evaluated by a multicriteria index and the firms are classified into three categories: the non-failed firms, failed firms and those about which we are uncertain. The minimization of the latter constitutes the main objective of our mathematical program (original abstract)
Opis fizyczny
  • Université Laval, Canada
  • Université de Sfax, Tunisia
  • Ahn B.S., Cho S.S., Kim C.Y.: The Integrated Methodology of Rough Set Theory and Artificial Neural Network for Business Failure Prediction. "Expert Systems with Applications" 2000, 18, pp. 65-74.
  • Alfaro E., García N., Gámez M., Elizondo D.: Bankruptcy Forecasting: An Empirical Comparison of AdaBoost and Neural Networks. "Decision Support Systems" 2008 (in press).
  • Altman E.I.: Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. "Journal of Finance" 1968, 23, pp. 589-609.
  • Banque de France: La détection précoce des difficultés d'entreprises par la méthode des scores. "Note d'Information" Septembre 1985, No. 65 pp. 1-24.
  • Brans J.P., Mareschal B., Vincke P.: PROMETHEE: A New Family of Outranking Methods in Multicriteria Analysis. In: Operational Research. I. Braus (ed.). North-Holland, Amsterdam 1984.
  • Collongues Y.: Ratios financiers et prévision des faillites des petites et moyennes entreprises. "Revue Banque" 1977, 365, pp. 963-970.
  • Conan J., Holder M.: Variables explicatives de performances et contrôle de gestion dans les PMI. Thèse d'État en Sciences de Gestion Université Paris IX, Paris 1979.
  • Dimitras A.I., Zanakis S.H., Zopounidis C.: A Survey of Business Failures with an Emphasis on Prediction Methods and Industrial Applications. "European Journal of Operational Research" 1996, 90, pp. 487-513.
  • Doganay M.M., Ceylan N.B., Aktas R.: Predicting Financial Failure of the Turkish Banks. "Annals of Financial Economics" 2006, 1, pp. 97-117.
  • Doumpos M., Zopounidis C.: Multicriteria Decision Aid Classification Methods. Kluwer Academic Publishers, Dordrecht 2002.
  • Doumpos M., Zopounidis C.: A Multicriteria Classification Approach Based on Pairwise Comparisons. "European Journal of Operational Research" 2004, 158, pp. 378-389.
  • Eisenbeis R.A.: Pitfalls in the Application of Discriminant Analysis in Business, Finance and Economics. "Journal of Finance" 1977, 32, pp. 875-900.
  • Eisenbeis R.A.: Problems in Applying Discriminant Analysis in Credit Scoring Models. "Journal of Banking and Finance" 1978, 2, pp. 205-219.
  • Etemadi H., Rostamy A.A.A., Dehkordi H.F.: A Genetic Programming Model for Bankruptcy Prediction: Empirical Evidence from Iran. "Expert Systems with Applications" 2008.
  • Freed N., Glover F.: Simple but Powerful Goal Programming Models for Discriminant Problems. "European Journal of Operational Research" 1981, 7, pp. 44- -60.
  • Freed N., Glover F.: A Linear Programming Approach to the Discriminant Problem. "Decision Science" 1981, 12 (1), pp. 68-74.
  • Glover F., Keene S., Duea B.: A New Class of Models for the Discriminant Problem. "Decision Science" 1988, 19 (2), pp. 269-280.
  • [18] Grinold R.C.: Mathematical Programming Methods of Pattern Classification. "Management Science" 1972, 19/3, pp. 272-289.
  • Gu Z.: Analyzing Bankruptcy in the Restaurant Industry: A Multiple Discriminant Model. "Hospitality Management" 2002, 21, pp. 25-42.
  • Hu Y.C.: Genetic Algorithm in Designing Fuzzy Information Retrieval-Based Classifier by Principal Component Analysis. "Computers & Industrial Engineering" 2006, 51, pp. 117-127.
  • Joy O.M., Tollefson J.O.: On the Financial Applications of Discriminant Analysis. "Journal of Financial and Quantitative Analysis" 1975, 101, pp. 723- -739.
  • Kumar P.R., Ravi V.: Bankruptcy Prediction in Banks and Firms via Statistical and Intelligent Techniques - a Review. "European Journal of Operational Research" 2007, 180(1), pp. 1-28.
  • Laitinen E.K., Laitinen T.: Bankruptcy Prediction: Application of the Taylor's Expansion in Logistic Regression. "International Review of Financial Analysis" 2000, 4 (4), pp. 327-349.
  • Malecot J.F.: Limites des modèles de prévision de défaillances. "Finance" 1981, 2/4, pp. 291-315.
  • Malecot J.F.: Sait-on vraiment prévoir les défaillances d'entreprises? "ISMEA Revue Science de Gestion" Décembre 1986, pp. 55-82.
  • Malecot J.F.: Analyses théorique des défaillances d'entreprises: Une revue de la littérature. Cahier de recherche No. 9108. CEREG, Université de Paris- -Dauphine, Paris 1991.
  • Martel J.M., Khoury N.: Une alternative à l'Analyse Discriminante en prévision de faillite: UN INDICE MULTICRITÈRE. ASAC '94, Halifax, Nouvelle Ecosse, juin, Faculté des sciences de l'administration Université Laval, Québec 1994.
  • Martel J.M., Khoury N.T., M'Zali B.: Comparaison performance-taille des fonds mutuels par une analyse multicritère. "l'Actualité Économique"1991, 67, pp. 306-324.
  • McKee T.E., Lensberg T.: Genetic Programming and Rough Sets: A Hybrid Approach to Bankruptcy Classification. "European Journal of Operational Research" 2002, 138, pp. 436-451.
  • McKee T.E., Lensberg T., Eilifsen A.A.: Bankruptcy Theory Development and Classification via Genetic Programming. "European Journal of Operational Research" 2006, 169, pp. 677-697.
  • Pendharkar P.C.: A Threshold-Varying Artificial Neural Network Approach for Classification and its Application to Bankruptcy Prediction Problem. "Computers & Operations Research" 2005, 32, pp. 2561-2582.
  • Ravi V., Pramodh C.: Threshold Accepting Trained Principal Component Neural Network and Feature Subset Selection: Application to Bankruptcy Prediction in Banks. "Applied Soft Computing" 2008.
  • [33] Scott E.: On the Financial Applications of Discriminant Analysis: Comment. "Journal of Financial and Quantitative Analysis" 1978, 13, pp. 201-205.
  • Slowinski R., Zopounidis C.: Rough-Set Sorting of Firms According to Bankrupcy RisK. "Applying Multiples Criteria Aid for Decision to Environmental Management" 1994, pp. 339-357.
  • Sueyoshi T.: Mixed Integer Programming Approach of Extended DEA - Discriminant Analysis. "European Journal of Operational Research" 2004, 152, pp. 45- 55.
  • Tsai Ch.F., Wu J.W.: Using Neural Network Ensembles for Bankruptcy Prediction and Credit Scoring. "Expert Systems with Applications" 2008, 34, pp. 2639-2649.
  • Tsakonas A., Dounias G., Doumpos M., Zopounidis C.: Bankruptcy Prediction with Neural Logic Networks by Means of Grammar-Guided Genetic Programming. "Expert Systems with Applications" 2006, 30, pp. 449-461.
  • Tseng F.M., Lin L.: A Quadratic Interval Logit Model for Forecasting Bankruptcy. "Omega" 2005, 33, pp. 85-91.
  • Yu W.: ELECTRE TRI: Aspect méthodologiques et manuel d'utilisation. Document du LAMSADE 74. Université Paris-Dauphine, Paris 1992.
  • Zopounidis C., Doumpos M.: Multicriteria Classification and Sorting Methods: A Literature Review. "European Journal of Operational Research" 2002, 138 (2), pp. 229-246.
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