Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2023, Cilt: 10 Sayı: 1, 45 - 54, 31.03.2023
https://doi.org/10.17261/Pressacademia.2023.1720

Öz

Kaynakça

  • Akbulut, O. Y. (2020). Finansal performans ile pay senedi getirisi arasındaki ilişkinin bütünleşik CRITIC ve MABAC ÇKKV teknikleriyle ölçülmesi: Borsa İstanbul çimento sektörü firmaları üzerine ampirik bir uygulama. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (40), 471-488.
  • Akbulut, O. Y. (2020). Gri Entropi Temelli PSI ve ARAS ÇKKV yöntemleriyle Türk mevduat bankalarının performans analizi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 5 (2), 171-187.
  • Aydın, Y. (2020). Bütünleşik CRITIC ve MAIRCA yöntemleri ile kamu sermayeli bankalarının performans analizi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 5 (4), 829-841.
  • BADER, S. M., ARIFF, M. and TAUFIG, H. S. (2008). Cost, revenue and profit efficiency of Islamic Versus Conventional Banks: International evidence using data envelopment analysis. Islamic Economic Studies, 5(12), 23-76.
  • Bayram, E. (2021). Türkiye’deki katılım bankalarının CRITIC temelli EDAS yöntemiyle performans değerlendirmesi. Finansal Araştırmalar ve Çalışmalar Dergisi, 13 (24), 55-72.
  • Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC Method. Computers & Operations Research, 22(7), 763-770.
  • Ertuğrul, İ., Karakaşoğlu, N. (2011). Banka şube performanslarının VIKOR yöntemi ile değerlendirilmesi. Endüstri Mühendisliği Dergisi, 20(1), 19-28.
  • Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213-229.
  • Karabašević, D., Stanujkić, D., Urošević, S., & Maksimović, M. (2016). An approach to personnel selection based on SWARA and WASPAS methods. Bizinfo (Blace) Journal of Economics, Management and Informatics, 7(1), 1-11.
  • Kendirli, S. & Ergenoğlu, S. (2022). Borsa İstanbul Banka Endeksi’nde (BİST Banka) yer alan bankaların performanslarının TOPSIS yöntemi ile analizi. MANAS Sosyal Araştırmalar Dergisi, 11 (2), 612-619.
  • Laha, S & Biswas, S. (2019). A hybrid unsupervised learning and multi-criteria decision making approach for performance evaluation of Indian banks. Accounting, 5(4), 169-184.
  • Mandic, K., Delibasic, B., Knezevic, S., & Benkovic, S. (2014). Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods. Economic Modelling, 43, 30-37.
  • Özkan, T. (2020). Türk bankacılık sektöründe finansal performans ölçmede TOPSIS yönteminin kullanımı: Katılım bankaları üzerine bir uygulama. Maliye ve Finans Yazıları, 113, 47-64.
  • Sarı, T., (2020), Banka performans ölçümünde TOPSIS ve PROMETHEE yöntemlerinin karşılaştırılması, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 34(1), 103-122.
  • SUFIAN, F. (2007). The efficiency of Islamic Banking Industry: A non-parametric analysis with non discretionary input variable. Islamic Economic Studies, 14(1-2), 53-78.
  • Ural, M., Demireli, E. & Güler Özçalık, S. (2018). Kamu bankalarında performans analizi: ENTROPİ ve WASPAS yöntemleri ile bir uygulama. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (31), 129-141.
  • Wanke, P., Kalam Azad M. A., Barros, C. P. And Hadı-Vencheh, A. (2016). Predicting Performance in ASEAN Banks: An Intagrated Fuzzy MCDM-Neural Network Approach. Expert Systems, 33(3), 213-229.
  • Yazdi, Amir Karbassi., Hanne, Thomas. & Osorıo Gomez, Juan Carlos. (2020). Evaluating the performance of Colombian Banks by hybrid multicriteria decision making methods. Journal of Business Economics and Management, 21(6), 1707-1730.
  • Yılmaz, Ö. & Yakut, E. (2021). Entropi temelli TOPSIS ve VIKOR yöntemleri ile bankacılık sektöründe finansal performans değerlendirmesi. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 35 (4), 1297-1321.
  • Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronikair Elektrotechnika, 122(6), 3-6.

THE RELATIONSHIP BETWEEN CURRENCY-PROTECTED DEPOSITS AND BANK PERFORMANCE: CASE OF PARTICIPATION BANKS

Yıl 2023, Cilt: 10 Sayı: 1, 45 - 54, 31.03.2023
https://doi.org/10.17261/Pressacademia.2023.1720

Öz

Purpose- This study aims to investigate in which way the foreign Currency Protected Deposit (CPD) system that was put on effect from the 21st of December 2021 affected the performance of the participation banks in Turkey. For this purpose, the financial performance of the participation banks during the 12 months preceding and the 9 months following the carrying into action of CPD has been measured by the means of CRITIC and WAPAS that are methods of the Multi-Criteria Decision Making (MCDM) model.
Methodology: The data used within the scope of this study covers the 12 months of the year 2021 and the 9 months of the year 2022 in reason of the fact that 9 months data was available for 2021. The financial performance of the participation banks was assessed based on 5 criteria that are the total dividend revenues, return on assets, return on equity, operating cost/total assets, foreign assets/total shareholder’s equity
Findings- It has been established that the most significant criterion in determining the financial performance of the participation banks is the operating cost/total assets while the least significant criterion is the return on equity. Furthermore, within the period that is investigated; the participation banks showed the worst performance in May 2021 and the best in September 2022.
Conclusion- Consequently the performance of the participation banks showed a fluctuation and got down through 2021. Following the carrying into effect of the foreign Currency Protected Deposit (CPD) system, there has been a bettering in the financial performance of the participation banks in 2022; within a couple of months their performance kept raising.

Kaynakça

  • Akbulut, O. Y. (2020). Finansal performans ile pay senedi getirisi arasındaki ilişkinin bütünleşik CRITIC ve MABAC ÇKKV teknikleriyle ölçülmesi: Borsa İstanbul çimento sektörü firmaları üzerine ampirik bir uygulama. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (40), 471-488.
  • Akbulut, O. Y. (2020). Gri Entropi Temelli PSI ve ARAS ÇKKV yöntemleriyle Türk mevduat bankalarının performans analizi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 5 (2), 171-187.
  • Aydın, Y. (2020). Bütünleşik CRITIC ve MAIRCA yöntemleri ile kamu sermayeli bankalarının performans analizi. Finans Ekonomi ve Sosyal Araştırmalar Dergisi, 5 (4), 829-841.
  • BADER, S. M., ARIFF, M. and TAUFIG, H. S. (2008). Cost, revenue and profit efficiency of Islamic Versus Conventional Banks: International evidence using data envelopment analysis. Islamic Economic Studies, 5(12), 23-76.
  • Bayram, E. (2021). Türkiye’deki katılım bankalarının CRITIC temelli EDAS yöntemiyle performans değerlendirmesi. Finansal Araştırmalar ve Çalışmalar Dergisi, 13 (24), 55-72.
  • Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC Method. Computers & Operations Research, 22(7), 763-770.
  • Ertuğrul, İ., Karakaşoğlu, N. (2011). Banka şube performanslarının VIKOR yöntemi ile değerlendirilmesi. Endüstri Mühendisliği Dergisi, 20(1), 19-28.
  • Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213-229.
  • Karabašević, D., Stanujkić, D., Urošević, S., & Maksimović, M. (2016). An approach to personnel selection based on SWARA and WASPAS methods. Bizinfo (Blace) Journal of Economics, Management and Informatics, 7(1), 1-11.
  • Kendirli, S. & Ergenoğlu, S. (2022). Borsa İstanbul Banka Endeksi’nde (BİST Banka) yer alan bankaların performanslarının TOPSIS yöntemi ile analizi. MANAS Sosyal Araştırmalar Dergisi, 11 (2), 612-619.
  • Laha, S & Biswas, S. (2019). A hybrid unsupervised learning and multi-criteria decision making approach for performance evaluation of Indian banks. Accounting, 5(4), 169-184.
  • Mandic, K., Delibasic, B., Knezevic, S., & Benkovic, S. (2014). Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods. Economic Modelling, 43, 30-37.
  • Özkan, T. (2020). Türk bankacılık sektöründe finansal performans ölçmede TOPSIS yönteminin kullanımı: Katılım bankaları üzerine bir uygulama. Maliye ve Finans Yazıları, 113, 47-64.
  • Sarı, T., (2020), Banka performans ölçümünde TOPSIS ve PROMETHEE yöntemlerinin karşılaştırılması, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 34(1), 103-122.
  • SUFIAN, F. (2007). The efficiency of Islamic Banking Industry: A non-parametric analysis with non discretionary input variable. Islamic Economic Studies, 14(1-2), 53-78.
  • Ural, M., Demireli, E. & Güler Özçalık, S. (2018). Kamu bankalarında performans analizi: ENTROPİ ve WASPAS yöntemleri ile bir uygulama. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (31), 129-141.
  • Wanke, P., Kalam Azad M. A., Barros, C. P. And Hadı-Vencheh, A. (2016). Predicting Performance in ASEAN Banks: An Intagrated Fuzzy MCDM-Neural Network Approach. Expert Systems, 33(3), 213-229.
  • Yazdi, Amir Karbassi., Hanne, Thomas. & Osorıo Gomez, Juan Carlos. (2020). Evaluating the performance of Colombian Banks by hybrid multicriteria decision making methods. Journal of Business Economics and Management, 21(6), 1707-1730.
  • Yılmaz, Ö. & Yakut, E. (2021). Entropi temelli TOPSIS ve VIKOR yöntemleri ile bankacılık sektöründe finansal performans değerlendirmesi. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 35 (4), 1297-1321.
  • Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronikair Elektrotechnika, 122(6), 3-6.
Toplam 20 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekonomi, Finans, İşletme
Bölüm Articles
Yazarlar

Mustafa Yurttadur Bu kişi benim 0000-0001-7416-222X

Mehmet Zafer Tascı Bu kişi benim 0000-0001-5848-259X

Yayımlanma Tarihi 31 Mart 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 10 Sayı: 1

Kaynak Göster

APA Yurttadur, M., & Tascı, M. Z. (2023). THE RELATIONSHIP BETWEEN CURRENCY-PROTECTED DEPOSITS AND BANK PERFORMANCE: CASE OF PARTICIPATION BANKS. Journal of Economics Finance and Accounting, 10(1), 45-54. https://doi.org/10.17261/Pressacademia.2023.1720

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