Determinants of Banking Profitability in Angola: A Panel Data Analysis with Dynamic GMM Estimation

This study aims to analyze the determinants of bank profitability in Angola by employing panel data econometric models, specifically, the Generalized Method of Moments (GMM), to assess the impact of internal and external factors on the financial indicators ROE, ROA, and NIM for the period 2016 to 2023. The results reveal that credit risk, operational efficiency, and liquidity are critical determinants of banking performance. Effective credit risk management and cost optimization are essential for the sector’s stability. Banking concentration presents mixed effects, enhancing net interest income while potentially undermining efficiency. Economic growth supports profitability, whereas inflation exerts a negative influence. The COVID-19 pandemic worsened asset quality, increased credit risk, and led to a rise in non-performing loans and provisions. Reforms implemented by the National Bank of Angola have contributed to strengthening the banking system’s resilience through restructuring and regulatory improvements. The rise of digitalization and fintech presents opportunities to enhance financial inclusion and efficiency, although their success relies on advancing financial literacy. This study contributes to the literature by providing updated empirical evidence on the factors influencing bank profitability within an emerging economy’s distinctive institutional and economic context.

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Publication Details

Journal
Risks
Published
2025-06-27
DOI
https://doi.org/10.3390/risks13070123
Citations
1
Primary Topic
Banking stability, regulation, efficiency
Type
article
Field-Weighted Citation Impact
2.21
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article

Determinants of Banking Profitability in Angola: A Panel Data Analysis with Dynamic GMM Estimation

Fernando Oliveira Tavares, Luís Almeida, Eurico Lionjanga Cangombe
1 citations
Risks
Banking stability, regulation, efficiency
2.21
article

Determinants of Banking Profitability in Angola: A Panel Data Analysis with Dynamic GMM Estimation

Fernando Oliveira Tavares, Luís Almeida, Eurico Lionjanga Cangombe
article en
1 citations

Abstract

This study aims to analyze the determinants of bank profitability in Angola by employing panel data econometric models, specifically, the Generalized Method of Moments (GMM), to assess the impact of internal and external factors on the financial indicators ROE, ROA, and NIM for the period 2016 to 2023. The results reveal that credit risk, operational efficiency, and liquidity are critical determinants of banking performance. Effective credit risk management and cost optimization are essential for the sector’s stability. Banking concentration presents mixed effects, enhancing net interest income while potentially undermining efficiency. Economic growth supports profitability, whereas inflation exerts a negative influence. The COVID-19 pandemic worsened asset quality, increased credit risk, and led to a rise in non-performing loans and provisions. Reforms implemented by the National Bank of Angola have contributed to strengthening the banking system’s resilience through restructuring and regulatory improvements. The rise of digitalization and fintech presents opportunities to enhance financial inclusion and efficiency, although their success relies on advancing financial literacy. This study contributes to the literature by providing updated empirical evidence on the factors influencing bank profitability within an emerging economy’s distinctive institutional and economic context.

RisksVol. 13(7)
Universidade Portucalense (PT), Instituto Superior Miguel Torga (PT), University of Aveiro (PT), Universidade de Vigo (ES)
Openalex Percentile: Top 13%
Banking stability, regulation, efficiency
2.21
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