Research Article

Türkiye’deki Banka Performanslarının İncelenmesi: Promethee Metot Uygulaması

Volume: 18 Number: 1 May 31, 2017
TR EN

INVESTIGATING BANKS’ PERFORMANCE FOR TURKEY: AN APPLICATION OF PROMETHEE METHOD

Öz

Bank failures bring high costs to every part of a country’s economy. If the necessary early warnings regarding the performance of the banks can be taken on time by the officials, policy makers and intuitions concerned, bank failures can be prevented and a more robust financial environment can be sustained. Therefore, the objective of this paper is to measure the performance and failure risk of Turkish deposit banks and to obtain ranking of the banks based on their financial ratios. To this end, we benefit from a data set which allows us to compare the current banks not only on the basis of their present relative position, but also on the basis of their position to the banks failed between 1997 and 2003. Our principal findings show that, some of privately owned and all of publicly owned current banks are quite sound in terms of their financial ratios while some of privately and foreign-owned banks have significantly poorer performance in terms of the ratios considered. Besides, our results unexpectedly show that two of previously failed banks are found to rank in a better position compared to some of currently operating banks in Turkey.

References

  1. ERDAL, H.İ. and EKINCI, A.: A comparison of various artificial intelligence methods in the prediction of bank failures”, Computational Economics, August, v. 42, iss. 2, pp. 199-215 (2013) HU, Y.C. and CHEN, C.J.: A PROMETHEE-based classification method using concordance and discordance relations and its application to bankruptcy prediction, Information Sciences, 181, 4959–4968 (2011) JIANGZHONG, D.: The effects of bank restructuring on economic growth. Erasmus university (2011) KILIÇ, S.B.: Türk bankacılık sistemi için çok kriterli karar alma analizine dayalı bir erken uyarı modelinin tahmini, ODTÜ Gelişme Dergisi, 33 (Haziran), 117-154 (2011) KILIÇ, S.B., LOPCU, K., PAKSOY, S.: Artificial neural network models to build an early warning system for Turkish commercial banks before and after the

Details

Primary Language

Turkish

Subjects

-

Journal Section

Research Article

Authors

Mehmet Fatih Tıraş

Publication Date

May 31, 2017

Submission Date

February 15, 2017

Acceptance Date

-

Published in Issue

Year 1970 Volume: 18 Number: 1

APA
Paksoy, S., & Tıraş, M. F. (2017). INVESTIGATING BANKS’ PERFORMANCE FOR TURKEY: AN APPLICATION OF PROMETHEE METHOD. Cumhuriyet Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 18(1), 143-159. https://izlik.org/JA42ZJ56ZC

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