COVID-19 pandemic of banks traded in BIST BANK Analysis of financial performances in the period with different criteria weighting methods
Published 2023-09-24
Keywords
- COVİD-19, Finansal Performans Analizi, Çok Kriterli Karar Verme, BORDA Sayım Yöntemi, Sperman Sıra Korelasyon Testi
- COVID-19, Financial Performance Analysis, Multi-Criteria Decision Analysis, BORDA Method, Spearman Rank Correlation
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Copyright (c) 2023 Tuğba Gökdemir- Gül Gökay Emel
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
The study aims to examine the effects on the financial performance of banks operating in Borsa Istanbul (BIST) during the COVID-19 Pandemic and to compare the financial performances of banks in this period. In the study, MCDM methods were used to determine the weight values of the criteria and rank the banks' performances at the stage of measuring the financial performance of the banks. CRITIC and DEMATEL for weighting the criteria, for ranking the alternatives; The methods of VIKOR, TOPSIS belonging to the American School and PROMETHEE II belonging to the European School were preferred. In addition, the BORDA Count method was used to obtain an integrated rank, and the Spearman Rank Correlation Coefficient was used to analyze the similarity of the rankings. At the end of the study, the banks with the best performance during the pandemic period were development banks, and the worst banks were public banks. It has been determined that the most important weight in the CRITIC method is Liquid Assets/Total Assets (13%), and the most important weight in the DEMATEL method belongs to the Average Return on Equity (12.2%) criterion. It was seen that the method that gave the best rankings was PROMETHEE II, and the method that gave the worst rankings was the VIKOR method. With this aspect, the study is original and is thought to contribute to the literature. In addition, no study is taken from the Ekol title of MCDM methods in the domestic literature systems. It has also been found that the proposed method provides useful information, applies to many businesses, and will help stakeholders overcome complex criteria problems.
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