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The Bank Performance Ranking in the Emerging Markets: A Case of Turkey

Yıl 2023, Cilt: 31 Sayı: 55, 69 - 84, 31.01.2023
https://doi.org/10.17233/sosyoekonomi.2023.01.04

Öz

In this study, the pre-pandemic (2019) and pandemic period (2020) financial performances of 13 commercial banks with the highest transaction volume in Turkey were compared using multicriteria decision (Entropy, ARAS, MOORA, and MOOSRA) techniques. The financial performance ranking results obtained by the ARAS method are similar to the BrandFinance brand valuation ranking. In addition, before the pandemic Ziraat Bank, which was a public bank; during the pandemic period, along with Ziraat Bank, Halkbank, which is the other public bank, were found to be among the top 5 banks showing high performance.

Kaynakça

  • Adalı, E. & A. Işık (2016), “Air Conditioner Selection Problem with COPRAS and ARAS Methods”, Manas Journal of Social Studies, 5(2), 124-138.
  • Bakshi, T. & B. Sarkar (2011), “MCA Based Performance Evaluation of Project Selection”, International Journal of Software Engineering & Applications, 2(2), 14-22.
  • Balezentiene, L. et al. (2013), “Fuzzy Decision Support Methodology for Sustainable Energy Crop Selection”, Renewable and Sustainable Energy Reviews, (17), 83-93.
  • Bilien, U. & A. Tassinopoulos (2001), “Forecasting Regional Employment with the Entropy Method”, European Congress of the Regional Science Association, 35(2), 113-124.
  • Brauers, W.K.M. & E.K. Zavadskas (2006), “The MOORA Method and its Application to Privatization in a Transition Economy”, Control and Cybernetics, 35(2), 445-469.
  • Brauers, W.K.M. et al. (2008), “Multi‐objective decision‐making for road design”, Transport, 23(3), 183-193.
  • Brauers, W.K.M. & R. Ginevicius (2009), “Robustness in Regional Development Studies: The Case of Lithuania”, Journal of Business Economics and Management, 10(2), 121-140.
  • Brauers, W.K.M. et al. (2010), “Regional Development in Lithuania Considering by the MOORA Method”, Technological and Economic Development of Economy, 16(4), 613-640.
  • Brauers, W.K.M. & R. Ginevicius (2013), “How to Invest in Belgian Shares by Multimoora Optimization”, Journal of Business Economics and Management, 14(5), 940-956.
  • Chakraborty, S. (2011), “Applications of the MOORA Method for Decision Making in Manufacturing Environment”, The International Journal of Advanced Manufacturing Technology, 54(9-12), 1155-1166.
  • Chen, J. et al. (2015), “Improving Assessment of Groundwater Sustainability with Analytic Hierarchy Process and information Entropy Method: A Case Study of The Hohhot Plain China”, Environment Earth Science, 73(5), 2353-2363.
  • Chen, S. & M. Ravallion (2008), “The Developing World Is Poorer Than We Thought, But No Less Successful in the Fight against Poverty”, Policy Research Working Paper, (4703), 1-52.
  • Dadelo, S. et al. (2012), “Multiple Criteria Assessment of Elite Security Personal on the Basis of ARAS and Expert Methods”, Economic Computation and Economic Cybernetics Studies and Research, 46(4), 65-88.
  • Danisman, G.O. et al. (2021), “Financial Resilience to The Covid-19 Pandemic: The Role of Banking Market Structure”, Applied Economics, 53(39), 4481-4504.
  • Das, M.C. et al. (2012), “Decision making under conflicting environment: a new MCDM method”, International Journal of Applied Decision Sciences, 5(2), 142-162.
  • Ecer, F. (2016), “ARAS Yöntemi Kullanılarak Kurumsal Kaynak Planlaması Yazılımı Seçimi”, Uluslararası Alanya İşletme Fakültesi Dergisi, 8(1), 89-98.
  • Ersöz, F. & A. Atav (2011), “Çok Kriterli Karar Verme Problemlerinde MOORA Yöntemi”, Yöneylem Araştırması ve Endüstri Mühendisliği 31.Ulusal Kongresi, Sakarya.
  • Günay, S. (2021), “Comparing COVID-19 with the GFC: A shockwave analysis of currency markets”, Research in International Business and Finance, 56, 101377.
  • Guo, H. et al. (2021), “Analysis of global stock markets’ connections with emphasis on the impact of COVID-19”, Physica A: Statistical Mechanics and its Applications, 569, 125774.
  • Hemshadi, A. et al. (2011), “A Fuzzy VIKOR Method for Supplier Selection Based on Entropy Measure for Objective Weighting”, Expert Systems with Applications, 38(10), 12160-67.
  • Jagadish, A. & A. Ray (2014), “Green Cutting Fluid Selection Using MOOSRA Method”, International Journal of Research in Engineering and Technology, 3(3), 559-563.
  • Karaatlı, M. (2016), “Entropi-Gri İlişkisel Analiz Yöntemleri ile Bütünleşik Bir Yaklaşım: Turizm Sektöründe Uygulama”, SDÜ İİBF Dergisi, 21(1), 63-77.
  • Karaatlı, M. et al. (2015), “Çok Kriterli Karar Verme Teknikleri İle Performans Değerlendirmesine İlişkin Bir Uygulama”, Social Sciences Research Journal, 4(2), 176-186.
  • Karami, A. & R. Johansson (2014), “Utilization of Multi Attribute Decision Making Techniques to Integrate Automatic and Manual Ranking of Options”, Journal of Information Science and Engineering, (30), 519-534.
  • Kutut, V. et al. (2014), “Assessment of Priority Alternatives for Preservation of Historic Buildings Using Model Based on ARAS and AHP Methods”, Archives of Civil and Mechanical Engineering, 14(2), 287-294.
  • Ömürbek, N. & E. Aksoy (2016), “Bir Petrol Şirketinin Çok Kriterli Karar Verme Teknikleri ile Performans Değerlendirmesi”, SDÜ İİBF Dergisi, 21(3), 723-756.
  • Ömürbek, N. et al. (2016), “Entropi Temelli MAUT ve SAW Yöntemleri ile Otomotiv Firmalarının Performans Değerlemesi”, DEÜ İİBF Dergisi, 31(1), 227-255.
  • Ömürbek, V. et al. (2017), “Evaluation of Bank’s Sustainability Performances By Aras, Moosra And Copras Methods”, SDÜ Vizyoner Dergisi, 8(19), 14-32.
  • Reza, S. & A. Majid (2013), “Ranking Financial Institutions Based on of Trust in Online Banking Using ARAS and ANP Method”, International Research Journal of Applied and Basic Sciences, 6(4), 415-423.
  • Sarkar, A. et al. (2015), “Developing an Efficient Decision Support System for Non-Traditional Machine Selection: An Application of MOORA and MOOSRA, Production & Manufacturing Research”, An Open Access Journal, 3(1), 324-342.
  • Shapoval, V. et al. (2021), “The COVID-19 pandemic effects on the hospitality industry using social systems theory: A multi-country comparison”, International Journal of Hospitality Management, (94), 102813.
  • Sliogeriene, J. et al. (2013), “Analysis and Choice of Energy Generation Technologies: The Multiple Criteria Assessment on the Case Study of Lithuania”, Energy Procedia, (32), 11-20.
  • Stanujkic, D. & R. Jovanovic (2012), “Measuring a Quality of Faculty Website Using ARAS Method”, Proceeding of the International Scientific Conference Contemporary Issues in Business, Management and Education, 545-554.
  • Tunca, M.Z. et al. (2016), “OPEC Ülkelerinin Performanslarının Çok Kriterli Karar Verme Yöntemlerinden Entropi ve Maut İle Değerlendirilmesi”, SDÜ Vizyoner Dergisi, 7(14), 1-12.
  • Wang, T.C. & H.D. Lee (2009), “Developing a Fuzzy TOPSIS Approach Based on Subjective Weights and Objective Weights”, Expert Systems with Applications, 36(5), 8980-8985.
  • Wu, J. et al. (2011), “Determination of Weights for Ultimate Cross Efficiency Using Shannon Entropy”, Expert Systems With Applications, 38(5), 5162-5165.
  • Yavuz, V.A. (2016), “Coğrafi Pazar Seçiminde PROMETHEE ve Entropi Yöntemlerine Dayalı Çok Kriterli Bir Analiz: Mobilya Sektöründe Bir Uygulama”, Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(2), 163-177.
  • Yıldırım, B.F. (2015), “Çok Kriterli Karar Verme Problemlerinde ARAS Yöntemi”, Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(9), 285-296.
  • Zaremba, A. et al. (2021), “COVID-19, government policy responses, and stock market liquidity around the world: A note”, Research in International Business and Finance, 56, 101359.
  • Zavadskas, E.K. & Z. Turskis (2010), “A New Additive Ratio Assessment (Aras) Method in Multicriteria Decision-Making”, Technological and Economic Development of Economy, 16(2), 159-172.
  • Zavadskas, E.K. et al. (2010), “Multiple Criteria Analysis of Foundation Instalment Alternatives by Applying Additive Ratio Assessment (ARAS) Method”, Archives of Civil and Mechanical Engineering, 10(3), 123-141.
  • Zhang, H. et al. (2011), “The Evaluation of Tourism Destination Competitiveness by TOPSIS & Information Entropy E A Case in The Yangtze River Delta of China”, Tourism Management, (32), 443-451.

Gelişmekte Olan Piyasalarda Banka Performans Sıralaması: Türkiye Örneği

Yıl 2023, Cilt: 31 Sayı: 55, 69 - 84, 31.01.2023
https://doi.org/10.17233/sosyoekonomi.2023.01.04

Öz

Bu çalışmada, Türkiye’de işlem hacmi en yüksek 13 ticari bankanın pandemi öncesi (2019) ve dönemi (2020) finansal performansları çok kriterli karar (Entropi, ARAS, MOORA ve MOOSRA) teknikleriyle belirlenerek BrandFinance marka değerlemesi sıralaması ile karşılaştırılmıştır. ARAS yöntemi ile ulaşılan finansal performans sıralama sonuçları BrandFinance marka değerleme sıralaması ile benzeri çıkmıştır. Ayrıca kamu bankası olan Ziraat Bankası’nın pandemi öncesi; pandemi döneminde de Ziraat Bankası ile diğer kamu bankası olan Halkbank’ın da yüksek performans göstererek ilk 5 banka içinde yer aldığı tespit edilmiştir. Çalışmanın orijinalliği, finansal performans sıralaması sonuçları ile BrandFinace marka değerleme sıralama sonuçlarının karşılaştırıldığı ilk çalışmadır.

Kaynakça

  • Adalı, E. & A. Işık (2016), “Air Conditioner Selection Problem with COPRAS and ARAS Methods”, Manas Journal of Social Studies, 5(2), 124-138.
  • Bakshi, T. & B. Sarkar (2011), “MCA Based Performance Evaluation of Project Selection”, International Journal of Software Engineering & Applications, 2(2), 14-22.
  • Balezentiene, L. et al. (2013), “Fuzzy Decision Support Methodology for Sustainable Energy Crop Selection”, Renewable and Sustainable Energy Reviews, (17), 83-93.
  • Bilien, U. & A. Tassinopoulos (2001), “Forecasting Regional Employment with the Entropy Method”, European Congress of the Regional Science Association, 35(2), 113-124.
  • Brauers, W.K.M. & E.K. Zavadskas (2006), “The MOORA Method and its Application to Privatization in a Transition Economy”, Control and Cybernetics, 35(2), 445-469.
  • Brauers, W.K.M. et al. (2008), “Multi‐objective decision‐making for road design”, Transport, 23(3), 183-193.
  • Brauers, W.K.M. & R. Ginevicius (2009), “Robustness in Regional Development Studies: The Case of Lithuania”, Journal of Business Economics and Management, 10(2), 121-140.
  • Brauers, W.K.M. et al. (2010), “Regional Development in Lithuania Considering by the MOORA Method”, Technological and Economic Development of Economy, 16(4), 613-640.
  • Brauers, W.K.M. & R. Ginevicius (2013), “How to Invest in Belgian Shares by Multimoora Optimization”, Journal of Business Economics and Management, 14(5), 940-956.
  • Chakraborty, S. (2011), “Applications of the MOORA Method for Decision Making in Manufacturing Environment”, The International Journal of Advanced Manufacturing Technology, 54(9-12), 1155-1166.
  • Chen, J. et al. (2015), “Improving Assessment of Groundwater Sustainability with Analytic Hierarchy Process and information Entropy Method: A Case Study of The Hohhot Plain China”, Environment Earth Science, 73(5), 2353-2363.
  • Chen, S. & M. Ravallion (2008), “The Developing World Is Poorer Than We Thought, But No Less Successful in the Fight against Poverty”, Policy Research Working Paper, (4703), 1-52.
  • Dadelo, S. et al. (2012), “Multiple Criteria Assessment of Elite Security Personal on the Basis of ARAS and Expert Methods”, Economic Computation and Economic Cybernetics Studies and Research, 46(4), 65-88.
  • Danisman, G.O. et al. (2021), “Financial Resilience to The Covid-19 Pandemic: The Role of Banking Market Structure”, Applied Economics, 53(39), 4481-4504.
  • Das, M.C. et al. (2012), “Decision making under conflicting environment: a new MCDM method”, International Journal of Applied Decision Sciences, 5(2), 142-162.
  • Ecer, F. (2016), “ARAS Yöntemi Kullanılarak Kurumsal Kaynak Planlaması Yazılımı Seçimi”, Uluslararası Alanya İşletme Fakültesi Dergisi, 8(1), 89-98.
  • Ersöz, F. & A. Atav (2011), “Çok Kriterli Karar Verme Problemlerinde MOORA Yöntemi”, Yöneylem Araştırması ve Endüstri Mühendisliği 31.Ulusal Kongresi, Sakarya.
  • Günay, S. (2021), “Comparing COVID-19 with the GFC: A shockwave analysis of currency markets”, Research in International Business and Finance, 56, 101377.
  • Guo, H. et al. (2021), “Analysis of global stock markets’ connections with emphasis on the impact of COVID-19”, Physica A: Statistical Mechanics and its Applications, 569, 125774.
  • Hemshadi, A. et al. (2011), “A Fuzzy VIKOR Method for Supplier Selection Based on Entropy Measure for Objective Weighting”, Expert Systems with Applications, 38(10), 12160-67.
  • Jagadish, A. & A. Ray (2014), “Green Cutting Fluid Selection Using MOOSRA Method”, International Journal of Research in Engineering and Technology, 3(3), 559-563.
  • Karaatlı, M. (2016), “Entropi-Gri İlişkisel Analiz Yöntemleri ile Bütünleşik Bir Yaklaşım: Turizm Sektöründe Uygulama”, SDÜ İİBF Dergisi, 21(1), 63-77.
  • Karaatlı, M. et al. (2015), “Çok Kriterli Karar Verme Teknikleri İle Performans Değerlendirmesine İlişkin Bir Uygulama”, Social Sciences Research Journal, 4(2), 176-186.
  • Karami, A. & R. Johansson (2014), “Utilization of Multi Attribute Decision Making Techniques to Integrate Automatic and Manual Ranking of Options”, Journal of Information Science and Engineering, (30), 519-534.
  • Kutut, V. et al. (2014), “Assessment of Priority Alternatives for Preservation of Historic Buildings Using Model Based on ARAS and AHP Methods”, Archives of Civil and Mechanical Engineering, 14(2), 287-294.
  • Ömürbek, N. & E. Aksoy (2016), “Bir Petrol Şirketinin Çok Kriterli Karar Verme Teknikleri ile Performans Değerlendirmesi”, SDÜ İİBF Dergisi, 21(3), 723-756.
  • Ömürbek, N. et al. (2016), “Entropi Temelli MAUT ve SAW Yöntemleri ile Otomotiv Firmalarının Performans Değerlemesi”, DEÜ İİBF Dergisi, 31(1), 227-255.
  • Ömürbek, V. et al. (2017), “Evaluation of Bank’s Sustainability Performances By Aras, Moosra And Copras Methods”, SDÜ Vizyoner Dergisi, 8(19), 14-32.
  • Reza, S. & A. Majid (2013), “Ranking Financial Institutions Based on of Trust in Online Banking Using ARAS and ANP Method”, International Research Journal of Applied and Basic Sciences, 6(4), 415-423.
  • Sarkar, A. et al. (2015), “Developing an Efficient Decision Support System for Non-Traditional Machine Selection: An Application of MOORA and MOOSRA, Production & Manufacturing Research”, An Open Access Journal, 3(1), 324-342.
  • Shapoval, V. et al. (2021), “The COVID-19 pandemic effects on the hospitality industry using social systems theory: A multi-country comparison”, International Journal of Hospitality Management, (94), 102813.
  • Sliogeriene, J. et al. (2013), “Analysis and Choice of Energy Generation Technologies: The Multiple Criteria Assessment on the Case Study of Lithuania”, Energy Procedia, (32), 11-20.
  • Stanujkic, D. & R. Jovanovic (2012), “Measuring a Quality of Faculty Website Using ARAS Method”, Proceeding of the International Scientific Conference Contemporary Issues in Business, Management and Education, 545-554.
  • Tunca, M.Z. et al. (2016), “OPEC Ülkelerinin Performanslarının Çok Kriterli Karar Verme Yöntemlerinden Entropi ve Maut İle Değerlendirilmesi”, SDÜ Vizyoner Dergisi, 7(14), 1-12.
  • Wang, T.C. & H.D. Lee (2009), “Developing a Fuzzy TOPSIS Approach Based on Subjective Weights and Objective Weights”, Expert Systems with Applications, 36(5), 8980-8985.
  • Wu, J. et al. (2011), “Determination of Weights for Ultimate Cross Efficiency Using Shannon Entropy”, Expert Systems With Applications, 38(5), 5162-5165.
  • Yavuz, V.A. (2016), “Coğrafi Pazar Seçiminde PROMETHEE ve Entropi Yöntemlerine Dayalı Çok Kriterli Bir Analiz: Mobilya Sektöründe Bir Uygulama”, Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(2), 163-177.
  • Yıldırım, B.F. (2015), “Çok Kriterli Karar Verme Problemlerinde ARAS Yöntemi”, Kafkas Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 6(9), 285-296.
  • Zaremba, A. et al. (2021), “COVID-19, government policy responses, and stock market liquidity around the world: A note”, Research in International Business and Finance, 56, 101359.
  • Zavadskas, E.K. & Z. Turskis (2010), “A New Additive Ratio Assessment (Aras) Method in Multicriteria Decision-Making”, Technological and Economic Development of Economy, 16(2), 159-172.
  • Zavadskas, E.K. et al. (2010), “Multiple Criteria Analysis of Foundation Instalment Alternatives by Applying Additive Ratio Assessment (ARAS) Method”, Archives of Civil and Mechanical Engineering, 10(3), 123-141.
  • Zhang, H. et al. (2011), “The Evaluation of Tourism Destination Competitiveness by TOPSIS & Information Entropy E A Case in The Yangtze River Delta of China”, Tourism Management, (32), 443-451.
Toplam 42 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekonomi
Bölüm Makaleler
Yazarlar

Nuri Avşarlıgil 0000-0002-4401-2236

Ercüment Doğru 0000-0003-2650-9326

Ayşegül Ciğer 0000-0001-9128-4974

Yayımlanma Tarihi 31 Ocak 2023
Gönderilme Tarihi 18 Mart 2022
Yayımlandığı Sayı Yıl 2023 Cilt: 31 Sayı: 55

Kaynak Göster

APA Avşarlıgil, N., Doğru, E., & Ciğer, A. (2023). The Bank Performance Ranking in the Emerging Markets: A Case of Turkey. Sosyoekonomi, 31(55), 69-84. https://doi.org/10.17233/sosyoekonomi.2023.01.04
AMA Avşarlıgil N, Doğru E, Ciğer A. The Bank Performance Ranking in the Emerging Markets: A Case of Turkey. Sosyoekonomi. Ocak 2023;31(55):69-84. doi:10.17233/sosyoekonomi.2023.01.04
Chicago Avşarlıgil, Nuri, Ercüment Doğru, ve Ayşegül Ciğer. “The Bank Performance Ranking in the Emerging Markets: A Case of Turkey”. Sosyoekonomi 31, sy. 55 (Ocak 2023): 69-84. https://doi.org/10.17233/sosyoekonomi.2023.01.04.
EndNote Avşarlıgil N, Doğru E, Ciğer A (01 Ocak 2023) The Bank Performance Ranking in the Emerging Markets: A Case of Turkey. Sosyoekonomi 31 55 69–84.
IEEE N. Avşarlıgil, E. Doğru, ve A. Ciğer, “The Bank Performance Ranking in the Emerging Markets: A Case of Turkey”, Sosyoekonomi, c. 31, sy. 55, ss. 69–84, 2023, doi: 10.17233/sosyoekonomi.2023.01.04.
ISNAD Avşarlıgil, Nuri vd. “The Bank Performance Ranking in the Emerging Markets: A Case of Turkey”. Sosyoekonomi 31/55 (Ocak 2023), 69-84. https://doi.org/10.17233/sosyoekonomi.2023.01.04.
JAMA Avşarlıgil N, Doğru E, Ciğer A. The Bank Performance Ranking in the Emerging Markets: A Case of Turkey. Sosyoekonomi. 2023;31:69–84.
MLA Avşarlıgil, Nuri vd. “The Bank Performance Ranking in the Emerging Markets: A Case of Turkey”. Sosyoekonomi, c. 31, sy. 55, 2023, ss. 69-84, doi:10.17233/sosyoekonomi.2023.01.04.
Vancouver Avşarlıgil N, Doğru E, Ciğer A. The Bank Performance Ranking in the Emerging Markets: A Case of Turkey. Sosyoekonomi. 2023;31(55):69-84.