Analysis of Financial Performance of Foreign Banks Having Branches in Turkey by TOPSIS and ELECTRE Methods

Yıl 2021, Cilt: 5 Sayı: 2, 1049 - 1067, 31.05.2021

Tunga Bozdoğan Alper Odabas Abdul Haq Shegıwal

https://doi.org/10.29023/alanyaakademik.871031

Cited By: 5

Öz

Effective performance evaluation is an important indicator of the success of every business particularly the banking sector. Banks are one of the most fundamental elements of the financial system. The financial structures of banks should be measured and evaluated accurately, the results should be analyzed salubriously and presented to the relevant users. The performance of each bank is evaluated by financial criteria which are ranked according to their financial performance. This is important both for the bank and the decision makers in the banking sector in which it operates. The aim of this study is to evaluate the financial performance of foreign banks having branches in Turkey. In the study, in Turkey four foreign banks having branches and Ziraat Bank with the largest assets were analyzed. The data were obtained from the annual reports of banks between 2014 and 2018. CAMELS criteria were used as financial performance indicators in the study. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and ELECTRE (Elimination and Choice Translating Reality) which are multi-criteria decision-making methods were used to evaluate the financial performance of these banks. As a result of the application of these methods, financial performance values of banks and success values for each year were found. The results obtained by the analysis made in both methods are presented in a comparative perspective.

Anahtar Kelimeler

Financial Performance, Bank, CAMELS, TOPSIS Method, ELECTRE Method

Kaynakça

• AHSAN, M. K. (2016). “Measuring Financial Performance Based on CAMEL: A Study on Selected Islamic Banks in Bangladesh”, Asian Business Review, 6(1), 47-56.
• AKKOÇ, S. and 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.
• AKYÜZ, Y., BOZDOĞAN, T. and HANTEKİN, E. (2011). “TOPSIS Yöntemiyle Finansal Performansın Değerlendirilmesi ve Bir Uygulama”, Afyon Kocatepe Üniversitesi İİBF. Dergisi, 13(1), 73-92.
• AMILE, M. MAEDEH, S. and POORHOSSEIN, M. (2013). “Performance Evaluation of Banks Using Fuzzy AHP and TOPSIS, Case Study: State-Owned Banks, Partially Private and Private Banks in Iran”, Caspian Journal of Applied Sciences Research, 2(3), 128-138.
• ANYAECHE, C. and IGHRAVWE, D. (2018). “A Framework for Evaluating the Performance of Automated Teller Machine in Banking Industries: A Queuing Model-Cum-TOPSIS Approach”, Accounting, 4(2), 53-62.
• BAYYURT, N. (2013). “Ownership Effect on Bank's Performance: Multi Criteria Decision Making Approaches on Foreign and Domestic Turkish Banks”. Procedia-Social and Behavioral Sciences, 99, 919-928.
• BOZDOĞAN, T., ERSOY, B. and KAYGUSUZ, M., (2018). “CAMELS Değerlendirme Sistemiyle Katılım Bankalarının Finansal Performanslarının TOPSIS Yöntemiyle Analizi”, Journal of Social and Humanities Sciences Research, 5(30), 4309-4323.
• BOZDOĞAN, T., TAYYAR, N. and ÖNER, Ş. (2016), “Yeni Kamu Mali Yönetim Anlayışı Perspektifinde Türkiye’de Kamu Kurumları Mali Performanslarının AHP ve TOPSIS Yöntemleriyle Değerlendirilmesi”, Muhasebe Bilim Dünyası Dergisi, 18 (2), 477-514.
• CHAUDHURI, T. and GHOSH, I. (2014). Application of Multi-Criteria Decision Making Models in Regulatory Evaluation of Commercial Banks in India and its Consistency with Public Perception. (01.08.2019) https://ssrn.com/abstract=2546647 or http://dx.doi.org/10.2139/ssrn.2546647
• CHRISTOPOULOS, APOSTOLOS G., MYLONAKISI J., DIKTAPANIDIS, P. (2011). “Could Lehman Brothers’ Collapse Be Anticipated? An Examination Using CAMELS Rating System”, International Business Research, 4(2), 11-19.
• ÇAĞIL, G. (2011). “2008 Küresel Kriz Sürecinde Türk Bankacılık Sektörünün Finansal Performansının ELECTRE Yöntemi ile Analizi”, Maliye Finans Yazıları, 25(93), 59-86.
• ÇALIŞKAN, E. and EREN, T. (2016). “Bankaların Performanslarının Çok Kriterli Karar Verme Yöntemiyle Değerlendirilmesi”, Ordu Üniversitesi, Bil. Tek. Dergisi, 6(2), 85-107.
• DASH, M. (2016), “Banking Performance Measurement for Indian Banks Using AHP and TOPSIS”, International Journal of Banking and Finance (IIJBF), 12(2), 63-76.
• DEMIRELI, E. (2010). “TOPSIS Çok Kriterli Karar Verme Sistemi: Türkiye’deki Kamu Bankaları Üzerine Bir Uygulama”, Girişimcilik ve Kalkınma Dergisi, 5(1), 101-112.
• DINÇER, H. and GÖRENER, A. (2011). “Performance Evaluation Using AHP-VIKOR and AHP-TOPSIS Approaches: The Case of Service Sector”, Sigma Journal of Engineering and Natural Sciences, 29(3), 244-260.
• DINÇER, H., HACIOĞLU, Ü. and YÜKSEL, S. (2016). “Managerial and Market-Based Appraisal of Agriculture Banking Using ANP and ELECTRE Method”. Management and Organizational Studies, 3(3), 29.
• DINÇER, H., YÜKSEL, S., and KARTAL, M. T. (2016). “Evaluating the Corporate Governance Based on Performance of Participation Banks in Turkey with the House of Quality Using an Integrated Hesitant Fuzzy MCDM”, BDDK, Bankacılık ve Finansal Piyasalar, 10(1), 9-33.
• EGE, İ. TOPALOĞLU, E. E. and KARAKOZAK, Ö. (2015). “CAMELS Performans Değerleme Modeli: Türkiye’ deki Mevduat Bankaları Üzerine Ampirik Bir Uygulama”, Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 8(4), 109-126.
• EVANS, O., ALFREDO M. L., MAHINDER G. and PAUL H., (2000). Macroprudential Indicators of Financial System Soundness, IMF Occasional Paper, No. 192, 7.
• GHASEMPOUR, SHIVA, and SALAMI, MOHAMADJAVAD, (2016). “Ranking Iranian Private Banks Based-on The CAMELS Model Using The AHP Hybrid Approach and TOPSIS”, International Journal of Academic Research in Accounting, Finance and Management Sciences, 6(4), 52-62.
• GHAZAVI, M. and BAYRAKTAR, S., (2016). “Performance Analysis of Banks in Turkey Using-CAMELS Approach Case Study: Six Turkish Banks During 2005 to 2016”, İşletme Araştırmaları Dergisi, 10(2), 847-874.
• GUAN, F., LIU, C., XIE, F. and CHEN, H. (2019). “Evaluation of the Competitiveness of China’s Commercial Banks Based on the CAMELS Evaluation System”, Sustainability, 11(6), 1791.
• GÜMÜŞ, F.B. and NALBANTOĞLU, Ö. (2015). “Türk Bankacılık Sektörünün CAMELS Analizi Yöntemiyle 2002-2013 Yılları Arasında Performans Analizi”, AKÜ İİBF. Dergisi, 17(2), 83-106.
• HEMMATI, M., DALGHANDI, S. and NAZARI, H. (2013). “Measuring Relative Performance Of Banking Industry Using a DEA and TOPSIS”, Management Science Letters, 3(2), pp.499-504.
• IBRAHIM, M. (2015). “A Comparative Study Of Financial Performance Between Conventional And Islamic Banking in United Arab Emirates”. International Journal of Economics and Financial Issues, 5(4), 868-874.
• GRIER, W.A. (2007). Credit Analysis of Financial Institutions, 2nd ed. Euromoney Institution Investor Plc., 22-27.
• JAFFAR, M. and MANARVI, I. (2011). “Performance comparison of Islamic and Conventional banks in Pakistan”. Global Journal of Management and Business Research, 11(1), 61-66.
• KARACA, S. S. and ERDOĞAN, S. (2018). “Türk Bankacılık Sektörünün 2009-2016 Dönemi CAMELS Derecelendirme Sistemi ile Performans Analizi”, Uluslararası Yönetim Eğitim ve Ekonomik Perspektifler Dergisi, 6(3), 23-39.
• KARAÇOR, Z. Ö. MANGIR, F. KODAZ, Ş. S. and KARTAL, M. (2017). “Kamusal ve Özel Sermayeli-Bankaların CAMELS Performans Analizi: Türkiye Örneği”, İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi, 4(2), 47-65
• KARAPINAR, A. and DOĞAN, I. C. (2015). “An Analysis on the Performance of the Participation Banks in Turkey”, Accounting and Finance Research, 4(2), 24-33.
• KAYGUSUZ, M., ERSOY, B. and BOZDOĞAN, T. (2020). “CAMELS Değerlendirme Sistemiyle Bankaların Finansal Performanslarının TOPSIS Yöntemiyle Analizi”, İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 9(1), 67-95.
• KHATRI, K. D., (2019). “CAMELS Ratıng System for Banks a Magnifying lens an Empirical Study in India”, International Journal of Tourism and Hotel Business Management, 1(1), 15-27.
• KILIÇ, S.B. (2006). “Türk Bankacılık Sistemi için Çok Kriterli Karar Alma Analizine Dayalı Bir Erken Uyarı Modelinin Tahmini”, ODTÜ Gelişme Dergisi, 33, 117-154.
• KOMOROWSKI, R. and KUBISZEWSKA, K. (2016). “An Assessment of Islamic Banking in Bosnia and Herzegovina A Comparative Analysis Using the CAMELS Approach”, Ekonomia Międzynarodowa, 16, 367-387.
• KUMAR, V. and SAYANI, H. (2015). “Application of CAMEL model on the GCC Islamic Banks: 2008-2014”. Journal of Islamic Banking and Finance, 3(2), 1-14.
• LI, C. and YE, C. (2014). Comprehensive Evaluation of The Operating Performance for Commercial Banks in China Based on Improved TOPSIS, in 2014 International Conference on-Global Economy, Commerce and Service Science (GECSS-14), Atlantis Press, 17-21
• MANJU, RAJAN B. and KUMAR, ASHOK M., (2017). “Adequacy of CAMELS Rating System in Measuring the Efficiency of Banking Industry: A Retrospect”, International Journal of Research in Arts and Science, 3, 3-6.
• MING-CHE WU and TING-YU CHEN (2011). “The ELECTRE Multicriteria Analysis Approach Based-on Atanassov’s Intuitionistic Fuzzy Sets”, Expert Systems with Applications, 38, 12318-12327.
• MOUSA, T. A. (2016). “Measuring Financial Performance Based on CAMEL Rating Model on Islamic Banks in Jordan”, Journal of Advanced Social Research, 6(11), 1-10.
• MUNIR, M. B. and BUSTAMAM, U. S. A. (2017). “CAMEL Ratio on Profitability Banking Performance (Malaysia versus Indonesia)”. International Journal of Management, Innovation & Entrepreneurial Research, 3(1), 30-39.
• NIMALATHASAN, B., (2008). “A Comparative Study of Financial Performance of Banking Sector in Bangladesh -An application of CAMELS Rating System”, Annals of University of Bucharest, Economic and Administrative Series, No. 2, 141-152.
• RAHMAN, Z. and ISLAM, Z. (2018). “Use of CAMEL Rating Framework: A Comparative Performance Evaluation of Selected Bangladeshi Private Commercial Banks”, International Journal of Economics and Finance, 10(1), 120-128.
• REŞATOĞLU, G. N. (2007). “Financial Ratios and the Probabilistic Prediction of Bank Failure in North Cyprus”, European Journal of Scientific Research, 18(2), 191-200.
• ROMAN, A. and ŞARGU A.C. (2013). “Analysing the Financial Soundness of the Commercial Banks in Romania: An Approach Based on the Camels Framework”, Procedia Economics and Finance 6, 706.
• ROSTAMI, M. (2015). “CAMELS Analysis in Banking Industry”, Global Journal of Engineering Science and Research Management, 2(11), 10-26.
• ROZZANI, N. and RAHMAN, R. A. (2013). “CAMELS and Performance Evaluation of Banks in Malaysia: Conventional versus Islamic”, Journal of Islamic Finance and Business Research, 2(1), 36-45.
• SANGMI, M. U. D. and TABASSUM, N. (2010). “Analyzing Financial Performance of Commercial Banks in India: Application of CAMEL model”, Pakistan Journal of Commerce and Social Sciences, 4(1), 40-55.
• SARI, T. (2020). “Banka Performans Ölçümünde TOPSIS ve PROMETHEE Yöntemlerinin Karşılaştırılması”, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 34(1), 103-122.
• SEÇME, N. Y., BAYRAKDAROĞLU, A. and KAHRAMAN, C. (2009). “Fuzzy Performance Evaluation in Turkish Banking Sector Using Analytic Hierarchy Process and TOPSIS”, Expert Systems With Applications, 36(9), 11699-11709.
• SIEW, L. W., FAI, L. K. and HOE, L. W. (2017). “Evaluation On The Financial Performance Of The Malaysian Banks With TOPSIS Model”, American Journal of Service Science and Management, 4(2), 11-16.
• ŞENDURUR, U. and TEMELLİ, F. (2018). “CAMEL Derecelendirme Modeli Yardımı ile Türkiye’de Faaliyet Gösteren Geleneksel Bankalar ve Katılım Bankalarının Karşılaştırmalı Analizi”, Ulakbilge, 6(23), 1-18.
• WANKE, P., AZAD, M. A. K., and BARROS, C. P. (2016). “Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach”. Research in International Business and Finance, 36, 485-498.
• WANKE, P., HASSAN, M. K. and GAVIAO, L. O. (2017). “Islamic Banking and Performance in The Asian Banking Industry: A TOPSIS Approach with Probabilistic Weights”, International Journal of Business and Society, 18(SI), 129-150.
• YANIE, A., ABDURROZAQ, HASIBUAN, I. ISHAK, M. MARSONO, SYAMSUDDIN LUBIS, N. NURMALINI, M. MESRAN, S. D. NASUTION, ROBBI R., H. NURDIYANTO and ANSARI, S. A., (2018). Web Based Application for Decision Support System with ELECTRE Method, 2nd International Conference on Statistics, Mathematics, Teaching, & Research IOP Publishing, IOP Conf. Series: Journal of Physics: Conf. Series 1028, 1-10.