Prediction of failure of commercial banks in Turkey

buir.advisorMuradoğlu, Gülnur
dc.contributor.authorYağlı, Bülent
dc.date.accessioned2016-01-08T20:13:10Z
dc.date.available2016-01-08T20:13:10Z
dc.date.issued1996
dc.departmentDepartment of Managementen_US
dc.descriptionAnkara : The Faculty of Management and the Graduate School of Business Administration of Bilkent Univ., 1996.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1996.en_US
dc.descriptionIncludes bibliographical references leaves 50-52.en_US
dc.description.abstractThe 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.en_US
dc.description.degreeM.B.Aen_US
dc.description.statementofresponsibilityYağlı, Bülenten_US
dc.format.extentvi, 62 leaves, tablesen_US
dc.identifier.itemidBILKUTUPB053772
dc.identifier.urihttp://hdl.handle.net/11693/17754
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFailureen_US
dc.subjectPredictionen_US
dc.subjectDiscriminant Analysisen_US
dc.subjectLogit Analysisen_US
dc.subjectFactor-Logistic Analysisen_US
dc.subjectBeaver’s Methoden_US
dc.subject.lccHG3769.T84 Y34 1996en_US
dc.subject.lcshBankruptcy--Forecasting--Turkey.en_US
dc.subject.lcshBank failures--Turkey.en_US
dc.subject.lcshBanks and banking--Turkey.en_US
dc.subject.lcshDiscriminant analysis--Statistical methods.en_US
dc.subject.lcshLogits.en_US
dc.titlePrediction of failure of commercial banks in Turkeyen_US
dc.title.alternativeTürkiyede’ki ticari bankaların iflas tahminlerien_US
dc.typeThesisen_US

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