APPLICATION OF DEA METHOD IN MEASURING OF MARKET EFFICIENCY OF BANKS IN BOSNIA AND HERZEGOVINA AND REFLECTION OF THE COVID-19

Beriz Čivić
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Abstract

By using the DEA method, the paper measures market efficiency of the banks in Bosnia and Herzegovina in the period 2017-2020, in the context of challenges caused by the COVID-19. The aims of the research are: a) to measure market efficiency of the banks in Bosnia and Herzegovina and rank them using the DEA method (applying three models CCR-O, BCC-O, and Window-I-C), b) establish the effect of the COVID-19 pandemic on market efficiency of the observed banks, and c) established the link between the volume of digital banking services usage and market efficiency of the observed banks. The research results show that in 2020, when the COVID-19 appeared, CCR-O and BCC-O models revealed a decrease in market efficiency for 73.9% of the observed banks while Window-I-C model revealed lower market efficiency for all the observed banks. The regression analysis applied showed a significant link between the volume of digital banking services usage market efficiency of the observed banks. The regression model was established, pointing to a significant importance of independent variables for the prediction of the dependent variable.
DEA方法在波斯尼亚和黑塞哥维那银行市场效率测度中的应用及对新冠肺炎的反思
本文采用DEA方法,在2019冠状病毒病(COVID-19)带来挑战的背景下,对2017-2020年波黑银行市场效率进行了测度。本研究的目的是:a)衡量波黑银行的市场效率,并使用DEA方法(应用CCR-O、BCC-O和Window-I-C三种模型)对其进行排名,b)确定COVID-19大流行对观察银行市场效率的影响,c)建立数字银行服务使用量与观察银行市场效率之间的联系。研究结果表明,在2020年新冠肺炎出现时,CCR-O和BCC-O模型显示73.9%的观察银行的市场效率下降,而Window-I-C模型显示所有观察银行的市场效率均下降。应用的回归分析显示,所观察银行的数字银行服务使用量和市场效率之间存在显著联系。建立了回归模型,表明自变量对因变量的预测具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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