Semin Paksoy, Mehmet Fatih Traş
721 129


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.

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ABATH, J. R. and DE ALMEIDA, A.T.: Outsourcing multicriteria decision model based on PROMETHEE method, Journal of Academy of Business and Economics, Jan, Volume: 9, Issue: 1, (2009)

AMPONSAH, S.K., DARKWAH,K.F., INUSAH, A.: Logistic preference function for preference ranking organization method for enrichment evaluation (promethee) decision analysis, African Journal of Mathematics and Computer Science Research, Vol. 5(6),112-119 (2012)

BENNET, R. L., UNAL, H.: Understanding the components of bank failure resolution costs, Financial Markets, Institutions & Instruments, 24(5), 349-389 (2015)

BOYACIOGLU, M. A., KARA, Y., BAYKAN, Ö.K.: Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: a comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey, Expert Systems with Applications, Volume 36, Issue 2, Part 2, 3355–3366 (2009)

BRANS, J.P., VINCKE, Ph.: A preference ranking organization method: (the PROMETHEE method for multiple criteria decision-making), Management Science, Vol.31, No.6, 647-656 (1985)

BRANS, J.P., VINCKE, Ph., MARESCHAL B.: How to select and how to rank projects: the PROMETHEE method, European Journal of Operations Research, 24, 228–38 (1986)

CHEN, Y.H., WANG, T.C., WU, C.Y.: Strategic decisions using the fuzzy PROMETHEE for IS outsourcing, Expert Systems with Applications,38(10), 13216-13222 (2011)

CRISTOBAL, J.R.S.: Critical Path definition using multicriteria decision making: PROMETHEE method, Journal of Management in Engineering, Vol. 29, No. 2, April 1,158-163 (2013)

DAĞDEVIREN, M., ERASLAN, E.: PROMETHEE sıralama yöntemi ile tedarikçi seçimi, Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, Cilt 23, No 1, 69-75 (2008)

DOUMPOS, M., KOSMIDOU,K.., BAOURAKI, G., ZOPOUNIDIS, C.: Credit risk assessment using a multicriteria hierarchical discrimination approach: A comparative analysis, European Journal of Operational Research,Volume 138, Issue 2, 16 April, 392–412, doi:10.1016/S0377-2217(01)00254-5 (2002)

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 2001, International Conference on Eurasian Economies, Proceeding book. 299 (2014)

LAEVEN, L., VALENCIA, F.: Systemic banking crises database: An update, (2014)

LIU ,Z. J.: Cross-Country Study on the Determinants of Bank Financial Distress” RAE, São Paulo I ,V. 55, n. 5 I set-out 2015 , 593-603, doi: http://dx.doi.0rg/lO.l590/S0034-75902015051O (2015).

LOPCU, K., KILIÇ, S.B.: Effects of structural changes in the turkish banking sector since 2001 crisis and a risk analyis for the sector, Topics in Middle Eastern and North African Economies, Vol. 14,September, 354-376 (2015)

MARTIN, D.: Early warning of bank failure: a logit regression approach, Journal of Banking & Finance, 1, 249-276 (1977)

MURALI, P., REDDY, V. D., PHANEENDRA, A.N.: Supplier selection by using multi criteria decision making methods , International Journal of Engineering Research and General Science, Volume 2, Issue 6, October-November, 533-539 (1977)

ÖZEL, G.: Probabilistic prediction of bank failures with financial ratios: an empirical study on Turkish banks, Pak.j.stat.oper.res. Vol.IX No.4 , 407-426 (2013)

POHEKAR, P.D., RAMACHANDRAN, M.: Application of multi-criteria decision making to sustainable energy planning—a review”, Renewable and Sustainable Energy Reviews, 8, 365–381 (2004)

RIVARD, R. J., THOMAS, C. R.: The effect of interstate banking on large bank holding company profitability and risk, Journal of Economics and Business, 49,61-76 (1997)

SHEN,T.K., TZENG, G.H. A decision rule-based soft computing model for supporting financial performance improvement of the banking industry, Soft Computing; Special Issue: SI, 19 4, 859-874 (2015)

SINKEY, J. F.: A multivariate statistical analysis of the characteristics of problem banks. The Journal of Finance, 30(1), 21-36 (1975)

TAŞ, N., TEZCAN, E., ALKAN, A., ALADAĞ, Z.: Tedarik Zinciri Yönetiminde Tedarikçi Seçimine Bulanık Yaklaşım, VIII. Ulusal Üretim Araştırmaları Sempozyumu, 24-25 Ekim, 51-60 (2008)

TOMIĆ, V., MARINKOVIĆ, Z., JANOŠEVIĆ, D.: Promethee Method Implementation With Multi-Criteria Decisions, Facta Universitatis Series: Mechanical Engineering Vol. 9, No 2, 193–202 (2011)

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