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新冠疫情危机期间银行股的表现:效率能否解释伊斯兰银行表现相对较好的原因?

Bank stock performance during the COVID-19 crisis: does efficiency explain why Islamic banks fared relatively better?

作者信息

Mirzaei Ali, Saad Mohsen, Emrouznejad Ali

机构信息

School of Business Administration, American University of Sharjah, Sharjah, UAE.

School of Business Administration, The American University of Sharjah, Airport Road, P.O. Box 26666, SBA-1112 Sharjah, UAE.

出版信息

Ann Oper Res. 2022 Mar 17:1-39. doi: 10.1007/s10479-022-04600-y.

Abstract

This paper evaluates the stock performance of Islamic banks relative to their conventional counterparts during the initial phase of the COVID-19 crisis (from December 31, 2019, to March 31, 2020). Using 426 banks from 48 countries, we find that stock returns of Islamic banks were about 10-13% higher than those of conventional banks after controlling for a host of the bank- and country-level variables. This study explains the Islamic banks' superior crisis stock performance by exploring the potential role of pre-crisis bank efficiency. In a univariate analysis, we document higher non-parametric Data Envelopment Analysis (DEA) efficiency levels for Islamic banks than conventional banks in the year preceding the COVID-19 crisis. Our multivariate regressions show that the risk-adjusted DEA efficiency scores can explain crisis stock returns for Islamic banks but not conventional banks. The evidence is robust to alternative measures of stock returns, efficiency models, and other empirical strategies. Finally, we present insight on the importance of key bank characteristics in determining the stock returns of conventional banks during the crisis period.

摘要

本文评估了在新冠疫情危机初始阶段(从2019年12月31日至2020年3月31日)伊斯兰银行相对于传统银行的股票表现。我们使用来自48个国家的426家银行的数据,发现在控制了一系列银行层面和国家层面的变量后,伊斯兰银行的股票回报率比传统银行高出约10%-13%。本研究通过探讨危机前银行效率的潜在作用,解释了伊斯兰银行在危机期间股票表现优异的原因。在单变量分析中,我们记录到在新冠疫情危机前一年,伊斯兰银行的非参数数据包络分析(DEA)效率水平高于传统银行。我们的多元回归分析表明,经风险调整的DEA效率得分可以解释伊斯兰银行的危机股票回报率,但不能解释传统银行的危机股票回报率。这一证据在股票回报率的替代衡量方法、效率模型和其他实证策略下依然稳健。最后,我们深入探讨了关键银行特征在危机期间决定传统银行股票回报率方面的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9528/8927751/82a06017121f/10479_2022_4600_Fig1_HTML.jpg

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