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Assessing systemic risk in Morocco’s banking sector: Conditional value-at-risk approach

Article scientifique 2025 Anglais

Résumé

Type of the article: Research ArticleAbstractSystemic risk in the banking sector poses a major threat to financial stability, particularly in concentrated markets such as Morocco, where the failure of one institution may trigger widespread disruptions. Understanding the extent to which individual banks contribute to systemic risk and generate spillover effects is essential for sustaining financial system resilience. This study aims to assess the systemic risk contributions and spillover potential of six listed Moroccan banks, Attijariwafa Bank (ATW), Bank of Africa (BOA), Banque Marocaine pour le Commerce et l’Industrie (BCI), Banque Centrale Populaire (BCP), Crédit Immobilier et Hôtelier (CIH), and Crédit du Maroc (CDM), by applying the Conditional Value-at-Risk (CoVaR) methodology. The analysis uses daily return data covering the period from January 4, 2010 to January 10, 2025. Value-at-Risk (VaR) estimates at 99% and 95% confidence levels show that the three largest banks, ATW, BCP, and BOA, are the least individually risky banks under normal market conditions, suggesting greater stability. In contrast, the smallest banks, CDM, BCI, and CIH, exhibit higher individual risk exposure. CoVaR and ΔCoVaR (marginal CoVaR) results indicate that ATW, BCP, and BOA are the primary contributors to systemic risk, with a higher potential for spillover during times of distress, while the remaining banks are less systemically significant. These findings highlight the need for enhanced macroprudential oversight and regular stress testing for larger institutions, alongside improved internal risk controls for smaller banks. The study emphasizes the importance of data-driven regulatory strategies in mitigating systemic vulnerabilities and strengthening the long-term stability of Morocco’s banking sector.

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Benbachir, S., Beraich, M. (2025). Assessing systemic risk in Morocco’s banking sector: Conditional value-at-risk approach. https://doi.org/10.21511/bbs.20(4).2025.16

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