Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/9785
Title: PREDICTING FINANCIAL FAILURE OF THE TURKISH BANKS
Authors: Doganay, M. Mete
Ceylan, Nildağ Başak
Aktaş, Ramazan
Keywords: Financial failure
banking
early warning system
bankruptcy
Multivariate Statistical-Analysis
Publisher: World Scientific Publ Co Pte Ltd
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.
URI: https://doi.org/10.1142/S2010495206500059
https://hdl.handle.net/20.500.11851/9785
ISSN: 2010-4952
2010-4960
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

9
checked on Nov 2, 2024

WEB OF SCIENCETM
Citations

1
checked on Nov 2, 2024

Page view(s)

80
checked on Nov 4, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.