Yağlı, Bülent2016-01-082016-01-081996http://hdl.handle.net/11693/17754Ankara : The Faculty of Management and the Graduate School of Business Administration of Bilkent Univ., 1996.Thesis (Master's) -- Bilkent University, 1996.Includes bibliographical references leaves 50-52.The aim of this study is failure prediction in Turkish Banking Sector. The results of four prediction models are compared to find out the most efficient one. The models used in this study are: Discriminant Analysis, Logit Analysis, Factor-Logistic Analysis and Alternative Accounting Measures for Prediction. According to the results of this study. Discriminant Analysis has the best predictive ability. Logit Analysis, Beaver’s Method and Factor-Logistic Analysis are ranked after the Discriminant Analysis from best to worst predictive ability.vi, 62 leaves, tablesEnglishinfo:eu-repo/semantics/openAccessFailurePredictionDiscriminant AnalysisLogit AnalysisFactor-Logistic AnalysisBeaver’s MethodHG3769.T84 Y34 1996Bankruptcy--Forecasting--Turkey.Bank failures--Turkey.Banks and banking--Turkey.Discriminant analysis--Statistical methods.Logits.ThesisBILKUTUPB053772