Entropy-Based Waspas approach for financial performance in the COVID-19 era: Evidence from Islamic countries

Erdogan Hilal H. ()
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Erdogan Hilal H.: Postdoctoral researcher at Montpellier Business School, France

Financial Internet Quarterly (formerly e-Finanse), 2023, vol. 19, issue 3, 48-61

Abstract: The purpose of this study is to compare financial performance of the Islamic banks in the COVID-19 Era. The performance evaluation was conducted on seven Islamic countries between 2017 and 2021. Entropy Method was utilized to choose the best performance evaluation criteria affecting the Islamic banks’ performance and Waspas Method was used to determine the best performing Islamic country. The results indicate that ‘liquid assets to short-term liabilities’ is the best performance criteria for Islamic banks during the ‘whole period’, ‘no pandemic period’ and ‘pandemic period’. Additionally, while the Islamic country with the best performance was Bangladesh during ‘no pandemic period’, Turkey was the leading Islamic country for both ‘whole period’ and ‘pandemic period’.

Keywords: Financial Performance; Islamic Banking; COVID-19; Entropy Method; Waspas Method (search for similar items in EconPapers)
JEL-codes: G28 M41 M48 Z32 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:finiqu:v:19:y:2023:i:3:p:48-61:n:2

DOI: 10.2478/fiqf-2023-0018

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