Evaluation of the efficiency of banks in Serbia using the MABAC method

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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.

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

Lukić¹

2022

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Measurement and analysis of profitability dynamics of the banking sector in Serbia based on the FLMAW-MARCOS method

Lukić¹

2023

Research into the profitability dynamics of the banking sector is continuously current, significant, and complex. Bearing that in mind, this paper measures and analyzes the profitability dynamics of the banking sector in Serbia using FLMAW-MARCOS methods. The empirical results obtained by applying the given methodology show that the five best years of achieved profitability in the banking sector in Serbia in the period 2008 - 2022 are in order: 2018, 2017, 2008, 2019 and 2022. The worst profitability was achieved in 2013. Recently, the profitability of the banking sector in Serbia has improved. It was influenced by the economic climate, management of human resources, assets, capital, sales of banking products, costs, and profits. The digitalization of the entire business plays a significant role in this. The impact of the Covid-19 corona virus pandemic, as well as the global energy crisis, is significant. In order to improve the profitability of the banking sector in Serbia, it is necessary to manage human resources, assets, capital, sales, costs and profits as efficiently as possible and adapt to changes in the economic climate.

Analysis of the liquidity dynamics of the banking sector in Serbia based on the TOPSIS method

Lukić

2023

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The problem of analyzing the liquidity of the banking sector is very challenging, significant, continuously updated and complex. Based on that, this paper analyzes the liquidity of the banking sector based on the TOPSIS method. The results of the TOPSIS method show that the top five years in terms of liquidity of the banking sector in Serbia in the observed time period 2008 - 2022 are in the following order: 2013, 2020, 2014, 2019 and 2015. The worst liquidity was recorded in 2010. It can be safely said that recently the liquidity of the banking sector in Serbia has slightly increased. This was positively influenced by numerous macro and micro factors (economic climate, interest rate, inflation, exchange rate, economic activity, asset and liability management, net working capital management, risk management and others).