Operational Research in Engineering Sciences

Journal DOI: https://doi.org/10.31181/oresta190101s

(A Journal of Management and Engineering) ISSN 2620-1607 | ISSN 2620-1747 |

Ranking banks by applying the multilevel I–distance methodology

Vladimir Marković,
Slobomir P University, Faculty of Economics and Management, Bijeljina, Bosnia and Herzegovina
Danijela Maksimović,
Ernst and Young, Fra Anđela Zvizdovića 1, 71000 Sarajevo, Bosnia and Herzegovina
Mladen Gajić,
Public Health Institution, Hospital “Sveti apostol Luka”, Doboj, Bosnia and Herzegovina

Abstract

Banks in the Republic of Srpska are one of the most important drivers of the economy and household savings. The activity of the financial market of the Republic of Srpska is low and banks are still the main source of funding. The question of the objective ranking of banks based on business results is an important element in the business decisions made by companies and the population. A bank’s position and quality would depend on the criteria to be included in the analysis. The professional literature recommends that banks’ liquidity, profitability, efficiency and solvency should be monitored. In most cases, whether to rank banks based on liquidity or adequacy or on another indicator is doubtful. The best picture of the state of the banks is obtained when all indicators are involved in such ranking. The aim of this study is to define and rank the banks headquartered in the Republic of Srpska by following a total of four indicators. In this paper, the calculation of banks’ liquidity, efficiency, profitability and solvency based upon the publicly presented audit reports for the years 2013 and 2014 is given. Then, the statistical model that absorbs information and generates the final ranking of banks in the RS is defined. The subject of the study is the banks that operate and are headquartered in the RS. The hypothesis is to determine their rankings based on their business performance.

Keywords
bank, ranking list, i distance, criteria.

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CiteScore for Management Science and Operations Research

8.1
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89th percentile
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8.1
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