PREDICTING FINANCIAL FAILURE OF THE TURKISH BANKS

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Date

2006

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World Scientific Publ Co Pte Ltd

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Tourism Management
The aim of Atılım University Department of Tourism Management is to train tourism managers who are able to compete at an international level by offering quality education opportunities. Graduates employed as managers in the fields of accommodation, travel, catering, gastronomy, transportation, congress, conference organization begin their professional life while they are still interns. The academic staff consists of faculty members who are experts in their field, as well as sector professionals. With five years of education including the preparatory English courses offered, the courses of the department are in English. The course program consists of applied and theoretical courses devised with respect to the global trends in tourism. Students perform their internship studies at hotel chains, A-Class travel agencies and professional tourism companies. Our Department is in contract with universities abroad within the scope of the Erasmus student Exchange program. With its quality of education documented by TURAK (Tourism Education, Evaluation and Accreditation Board), Atılım university Department of Tourism Management is the first undergraduate program in Turkey to hold the accreditation.

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Abstract

Banks are the most important financial institutions in Turkey because other financial institutions are not developed efficiently yet. Turkish banks experienced financial difficulties and a substantial amount of banks failed in the past. This event urged the government to initiate measures to prevent banks from getting into financial difficulties. As a result of these measures, Turkish banking system currently seems to be very attractive for the foreign investors willing to invest in this sector. One of the main concerns of the foreign investors is a possibility of a new banking crisis although it is very remote at this time. The purpose of this study is to develop early warning systems predicting the financial failure at least three years ahead of financial date. A number of multivariate statistical models such as multiple regression, discriminant analysis, logit, probit are used. We found that the most appropriate model is logit. The significant variables obtained from the models explain very well the causes of the bank failures. Our models can be used to assist interested parties to predict the probability of financial failure of Turkish banks.

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Keywords

Financial failure, banking, early warning system, bankruptcy

Turkish CoHE Thesis Center URL

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1

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2

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1

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