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What drives the profitability of banking sectors in the European Union? The machine learning approach Cover

What drives the profitability of banking sectors in the European Union? The machine learning approach

Open Access
|Sep 2024

Abstract

The study aims to establish patterns of relations between the profitability of the European Union (EU) banking sectors between 2007 and 2021 and sets of variables appropriate for clusters of countries into which the 27 countries of the EU are divided. The random forest method is deployed to identify the factors influencing the value of the return on equity. Shapley additive explanations are exploited to add interpretability to the results. The results show that the sets of variables shaping the profitability of banking sectors in the EU grouped by use of sovereign rating criterion are different. However, there are variables common to all banking sectors. These include cost efficiency and default risk. The study’s novelty lies in the reliance on a broad spectrum of explanatory variables assigned to three groups of factors, reference to all EU countries, and decomposition of the sample to identify similarities among the determinants of profitability.

DOI: https://doi.org/10.2478/ijme-2024-0022 | Journal eISSN: 2543-5361 | Journal ISSN: 2299-9701
Language: English
Page range: 272 - 284
Submitted on: Mar 17, 2024
Accepted on: Jun 28, 2024
Published on: Sep 20, 2024
Published by: Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Michał Bernardelli, Zbigniew Korzeb, Paweł Niedziółka, published by Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.