Banking dynamics in MENA: a study on profit catalysts

This study aims to investigate the managerial determinants of publicly listed banks' performance in the Middle East and North Africa (MENA) region, specifically focusing on the distinction between oil-exporting and oil-importing countries. The research covers the period from 2011 to 2021 and includes selected countries such as Kuwait, Saudi Arabia, United Arab Emirates (oil-exporting), Egypt, Lebanon, and Morocco (oil-importing). By utilising dynamic panel data estimation techniques, two models are developed with return on assets (ROA) and net interest margin (NIM) as dependent variables. Bank-specific independent variables, including size, liquidity, credit risk, and capital adequacy, are analysed along with macroeconomic variables such as GDP and inflation. Data from Thomson Reuters Data Stream for 97 publicly listed banks in the MENA region are employed, and the pooled least squares (OLS), fixed effects (FEM), and random effects (REM) methods are used for data analysis. The empirical findings reveal significant variations in the relationship between selected variables and banks' profitability, indicating the importance of understanding the determinants of banks' performance for stakeholders and bank executives to make informed decisions.

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Publication Details

Journal
International Journal of Managerial and Financial Accounting
Published
2024-12-04
DOI
https://doi.org/10.1504/ijmfa.2025.142939
Citations
2
Primary Topic
Economic Growth and Development
Type
article
Field-Weighted Citation Impact
1.56
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article

Banking dynamics in MENA: a study on profit catalysts

Adel F. Al Alam, Iman S. Youssef, Charbel Salloum
2 citations
International Journal of Managerial and Financial Accounting
Economic Growth and Development
1.56
article

Banking dynamics in MENA: a study on profit catalysts

Adel F. Al Alam, Iman S. Youssef, Charbel Salloum
article en
2 citations

Abstract

This study aims to investigate the managerial determinants of publicly listed banks' performance in the Middle East and North Africa (MENA) region, specifically focusing on the distinction between oil-exporting and oil-importing countries. The research covers the period from 2011 to 2021 and includes selected countries such as Kuwait, Saudi Arabia, United Arab Emirates (oil-exporting), Egypt, Lebanon, and Morocco (oil-importing). By utilising dynamic panel data estimation techniques, two models are developed with return on assets (ROA) and net interest margin (NIM) as dependent variables. Bank-specific independent variables, including size, liquidity, credit risk, and capital adequacy, are analysed along with macroeconomic variables such as GDP and inflation. Data from Thomson Reuters Data Stream for 97 publicly listed banks in the MENA region are employed, and the pooled least squares (OLS), fixed effects (FEM), and random effects (REM) methods are used for data analysis. The empirical findings reveal significant variations in the relationship between selected variables and banks' profitability, indicating the importance of understanding the determinants of banks' performance for stakeholders and bank executives to make informed decisions.

International Journal of Managerial and Financial AccountingVol. 17(1)
Université Le Havre Normandie (FR), Saint Joseph University (LB), October 6 University (EG), EM Normandie Business School (FR), Métis-Lab (FR)
Decent work and economic growth
Openalex Percentile: Top 12%
Economic Growth and Development
1.56
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Banking dynamics in MENA: a study on profit catalysts — Adel F. Al Alam, Iman S. Youssef, et al. · International Journal of Managerial and Financial Accounting (2024) | TGRS Research Map | TGRS