Banka Sermaye Yapısının Performansa Etkisi: AHP Uygulaması

Öz

Analitik Hiyerarşi Süreci (AHP), karar verme ile ilgili hemen hemen tüm uygulamalarda çözmek için uygulanan çok kriterli bir karar verme aracıdır. Bankacılık sektörünün performansı ekonomik büyüme aşamasında oldukça önemlidir. Makale, Türk ticari bankalarının performansını değerlendirmek için nicel bir karar verme yöntemi olan AHP'yi kullanmaktadır. Bu çalışmanın temel çıkış noktası, bankaları finansal oranları kullanarak sıralamaktır. Çalışmada kriz dönemlerinde sermaye yapılarının bankaların performansına olan etkisi incelenmek istediğinden Türkiye’deki en son 2001 yılında yaşanan banka krizi ele alınmıştır. Türk bankacılık sektörünün finansal oranlarının performans sıralamasını değerlendirmek için AHP uygulamasında, Türk ticari bankalarının finansal performans puanını hesaplamak için hiyerarşik bir karar yapısına yerleştirilmiştir. Diğer bir deyişle, bu analize dayalı olarak karar vericiler, bankacılık başarısızlığını en yakından tahmin edebilirler.

Anahtar Kelimeler

• AHP
• Türk Bankacılık Sektörü
• Performans Sıralaması
• Sermaye Rasyosu

The Effect Of Bank Capital Structure On Performance: AHP Application

Öz

Analytical Hierarchy Process (AHP) is a multi-criteria decision making tool applied to solve almost all applications related to decision making. The performance of the banking sector is very important in the economic growth phase. The article uses AHP, a quantitative decision- making method, to evaluate the performance of Turkish commercial banks. The main starting point of this study is to rank banks using financial ratios. Work on the impact of the performance of the capital structure of the banks in times of crisis because banks want to examine the latest crisis experienced in 2001 in Turkey were discussed. In the AHP application to evaluate the performance ranking of the financial ratios of the Turkish banking sector, it is placed in a hierarchical decision structure to calculate the financial performance score of Turkish commercial banks. In other words, based on this analysis, decision makers can most closely predict banking failure.

Anahtar Kelimeler

• AHP
• Turkish Banking Sector
• Performance Ranking
• Capital Equity Ratio

Kaynakça

1. Akhisar, I., & Karpak, B. (2010). AHP as an early warning system: An application in commercial banks in Turkey. In Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems (pp. 223-233). Springer, Berlin, Heidelberg.
2. Akkoç, S., & Vatansever, K. (2013). Fuzzy performance evaluation with AHP and Topsis methods: evidence from turkish banking sector after the global financial crisis. Eurasian Journal of Business and Economics, 6(11), 53-74.
3. Aldemir, A.., & Özden, Ü. H. (2009). Türkiye’deki Mevduat Bankalarının Performansları: Çok Kriterli Karar Verme Yöntemleri ile Analiz. Avrasya İşletme ve İktisat Dergisi, 3(4), 64-84.
4. Ar, I. M., & Kurtaran, A. (2013). Evaluating the relative efficiency of commercial banks in Turkey: an integrated AHP/DEA approach. International Business Research, 6(4), 129.
5. Barati, M., Navid, B. J., Ghanbari, M., & Kheirollahi, F. (2015). A Review of Financial Strategies Impact on the Financial Performance In Iranian Banks. International Journal of Humanities and Cultural Studies (IJHCS) ISSN 2356-5926, 1(1), 1789-1806.
6. Celasun, O. (1998). The 1994 currency crisis in Turkey.(No. 1913), World Bank. Development Research Group.
7. Çalışkan, E., & Eren, T. (2016). Bankaların Performanslarının Çok Kriterli Karar Verme Yöntemiyle Değerlendirilmesi. Ordu Üniversitesi Bilim ve Teknoloji Dergisi, 6(2), 85 - 107.
8. Denizer, C. (1997). The effects of financial liberalization and new bank entry on market structure and competition in turkey. Working paper 1839, World Development Research Group.

9. Fry, M. (1979). Money and banking in Turkey. Istanbul, Turkey: Bogazici University Publications.
10. Gayval, B. K., & Bajaj, V. H. (2016). A Comparative Approach of DEA–AHP for Performance Measurement of Indian Banks. International Journal of Science and Research, 5(1), 1971-1974.
11. Ghasempour, S., & Salami, M. (2016). Ranking Iranian Private Banks Based on the CAMELS Model Using the AHP Hybrid Approach and TOPSIS. International Journal of Academic Research in Accounting, 6(4), 52-62.
12. Isik, I., & Hassan, M. K. (2002). Technical, scale and allocative efficiencies of Turkish banking industry. Journal of Banking & Finance, 26(4), 719-766.
13. Li, H., & Dou, S. T. (2014). Application of AHP in the Bank Stock's Investment Selection. In 3rd International Conference on Computer Science and Service System. Atlantis Press.
14. Lin, C.T., Lee, C. and Wu, C.S. (2009). Optimizing a Marketing Expert Decision Process for the Private Hotel. Expert Systems with Applications 36: 5613–5619.
15. Meade, L. M. and Sarkis, J. (1999). Analyzing Organizational Project Alternatives for Agile Manufacturing Processes - An analytical Network Approach.. International Journal of Production Research 37: 241-261
16. Meade, L.M. A. (1996).Methodology for the Formulation of Agile Critical Business Process.” (PhD Thesis, The University of Texas at Arlington).
17. Oyatoye, E. O., Okpokpo, G. U., & Adekoya, G. A. (2010). An application of analytic hierarchy process (AHP) to investment portfolio selection in the banking sector of the Nigerian capital market. Journal of Economics and International Finance, 2(12), 321.
18. Önder, E., Taş, N., & Hepsen, A. (2013). Performance Evaluation of Turkish Banks Using Analytical Hierarchy Process and TOPSIS Methods.
19. Rezaei, M., & Ketabi, S. (2016). Ranking the Banks through Performance Evaluation by Integrating Fuzzy AHP and TOPSIS Methods: A Study of Iranian Private Banks. International Journal of Academic Research in Accounting, 6(3), 19-30.
20. Saaty, T.L. (2009). Rank from Comparisons and from Ratings in the Analytic Hierarchy/Network Process.” European Journal of Operational Research 168 (2): 557-570.
21. Saaty. T. L. and Penivati, K. (2008). Group decision making: Drawing out and reconciling Differences. RWS Publications, Pittsburgh, PA, USA.
22. Sisman, B., & Dogan, M. (2016). Türk Bankalarının Finansal Performanslarının Bulanık AHP ve Bulanık Moora Yöntemleri İle Değerlendirilmesi. Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 23(2), 353-371.
23. Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill, New York, USA.
24. Zahedi, F. (1986). The Analytic Hierarchy Process-A Survey of the Method and its Applications. Interfaces, 16(4): 96-108.
25. Zaim, O. (1995). The effect of financial liberalization on the efficiency of turkish commercial banks. Applied Financial Economics, 5, 257–64.