This study examines the effect of credit risk management (CRM) on the financial performance of Saudi Arabian banks and investigates whether this relationship differs between Islamic and conventional banking models. Using panel data from 40 banks covering 2020–2024, the study incorporates key credit-risk indicators including NPLA/PLAL, PLAL/TLA, NPLA/TLA, TLA/TAS, and LDR and applies multiple regression and group-comparison tests. The results reveal that CRM significantly influences profitability, with higher non-performing loan ratios reducing ROE, while stronger lending intensity (LDR) and higher loan concentration (TLA/TAS) enhance performance. Comparative tests indicate substantial differences in credit-risk profiles across bank types but no significant difference in financial performance levels. However, interaction-term analysis demonstrates that the impact of credit-risk indicators on ROE varies meaningfully between Islamic and commercial banks. Overall, the findings underscore CRM’s essential role in sustaining profitability and highlight the moderating effect of banking model structures within Saudi Arabia’s Basel-aligned regulatory environment.
This study analyses the interactions between financial conditions and real activity in Morocco by examining the policy rate, bank credit, real GDP and inflation together. Using annual data covering 1995–2024, a VECM–SVAR framework is employed to capture both long-term relationships and the propagation of macro-financial shocks. The results show that a single cointegration vector links monetary conditions, credit and real activity in a sustainable manner. Bank credit is the main channel of adjustment in the system, while the policy rate appears to be largely exogenous and insensitive to imbalances. In general, monetary shocks have moderate effects, transmitted mainly via credit, while inflationary shocks are more powerful and persistent, leading to a marked tightening of financial conditions. These conclusions highlight the need to strengthen monetary transmission, develop countercyclical macroprudential tools and improve coordination between monetary, fiscal and structural policies in order to support macro-financial stability in Morocco.
REVIEW ARTICLE | Dec. 13, 2025
Cicero’s Rhetoric as the Foundation of Hermeneutic Presupposition and the Cognitive-Linguistic Approach in Legal Research in the Transformational Legal Moment of Transitions (Such as the Shift from the Republic to the Empire in Ancient Rome)
Oleg Vitalievich Pavlov
Page no 522-529 |
https://doi.org/10.36348/sjef.2025.v09i12.003
The article examines the rhetorical legacy of Marcus Tullius Cicero as a methodological foundation for contemporary legal research in an era of transformations. It is substantiated that the principles of ancient rhetoric the hermeneutic presupposition and the cognitive-linguistic mechanisms of understanding law retain their relevance during the transition of states to new socio-technological orders. Using the transitional period from the Roman Republic to the Empire as material, the article demonstrates how subjectivism in lawmaking and judicial discretion leads to “norm arbitrariness” and “judicial arbitrariness,” which undermine justice and the predictability of law. A futurological concept is proposed a “symbiosis” between human legal thought and artificial intelligence: the integration of AI into lawmaking and adjudication based on the philosophical doctrines of Stoicism, the rhetoric of Cicero, the ideas of Plato and Aristotle on the supremacy of law, and Ayn Rand’s views on protecting the rights of the individual creator. It is emphasized that only by relying on the logic, humanism, and objectivity laid down by ancient thinkers can AI be programmed to overcome subjective distortions in law and to create an anti-fragile, resilient legal system. The article provides forecasts on how the integration of philosophy and AI can strengthen the rule of law, ensure judicial independence, protect private property, and stabilize rules for economic prosperity, turning lawyers into “architects” of the state of the future. The article is intended for legal theorists, historians of legal doctrines, and specialists in legal technologies interested in the evolution of legal institutions and the influence of AI on law.