Predicting Bank Bankruptcies with Neuro Fuzzy Method

Birol Yildiz and Soner Akkoç

Journal of BRSA Banking and Financial Markets, 2009, vol. 3, issue 1, 9-36

Abstract: The aim of this study is to actualize the prediction of bankruptcies of the banks whose financial structures have gone bad with various reasons and transferred to Savings Deposit Insurance Fund especially in 2000-2001 crisis years, with neuro fuzzy. Neuro fuzzy does not have the problems which are sourced from the hypothesis of statistical methods and as in artificial neural network, it can learn the relationship of the data. At the same time the model does not stay in a black box like artificial neural network, the process of predicting of the model can be commented. Because of these features neuro fuzzy appears as an alternative. In this study, besides getting high prediction success from neuro fuzzy, the addition of the forerunner indicators on the decision making process can also be commented

Keywords: Bank Failure Prediction; Neuro-fuzzy; Early Warning Systems; Discriminant Analysis (search for similar items in EconPapers)
JEL-codes: G14 G21 G33 (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:bdd:journl:v:3:y:2009:i:1:p:9-36

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