Analysis of financial performance and efficiency of banks in Serbia using fuzzy LMAW and MARCOS methods

R. Lukić
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引用次数: 2

Abstract

Researching bank efficiency factors is very challenging. Bearing that in mind, this paper analyzes the financial performance and efficiency of banks in Serbia based on the fuzzy LMAWMARCOS method. The obtained empirical results show that the top five banks are, in order: Banca Intesa, OTP Banka Srbija, Komercijalna banka, Mobi Banka and NLB banka. Badly positioned banks include, in order: MIRABANK, API banka, Srpska banka, 3 BANKA and Addiko Bank. Among other things, the efficiency of banks in Serbia was significantly affected by the Covid-19 pandemic. In order to improve the financial performance and efficiency of banks in Serbia in the future, it is necessary to manage resources (human capital, assets and capital), sales of banking products and profits as efficiently as possible. The digitization of the entire banking business also plays a significant role in this.
用模糊LMAW和MARCOS方法分析塞尔维亚银行的财务绩效和效率
研究银行效率因素是一项具有挑战性的工作。鉴于此,本文基于模糊LMAWMARCOS方法对塞尔维亚银行的财务绩效和效率进行了分析。获得的实证结果表明,排名前五的银行依次为:Banca Intesa、OTP Banka Srbija、Komercijalna Banka、Mobi Banka和NLB Banka。处境不利的银行依次为:MIRABANK、API banka、Srpska banka、3 banka和Addiko Bank。除其他外,塞尔维亚银行的效率受到Covid-19大流行的严重影响。为了提高塞尔维亚银行未来的财务绩效和效率,必须尽可能高效地管理资源(人力资本、资产和资本)、银行产品销售和利润。整个银行业务的数字化也在其中发挥了重要作用。
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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