Citation:

Nicholas Bamegne Nambie, Evans O.N.D Ocansey, Philomena Dadzie, Belinda Ameh Obobi. "Credit Risk Assessment, Regulatory Compliance, and Financial Intermediation in Sub-Saharan Africa, The Role of Artificial Intelligence" International Research Journal of Economics and Management Studies, Vol. 3, No. 9, pp. 128-147, 2024.

Abstract:

A quantitative research approach is employed in this study to examine the relationship between credit risk assessment, regulatory compliance, and financial intermediation. The moderating role of artificial intelligence is emphasized, with data from the World Bank and International Monetary Fund (IMF) spanning 2002 to 2023. Through factor analysis, indexes were developed in order to measure the primary variables of the investigation. Following this, the research has revealed that financial intermediation, along with regulatory compliance, on the one hand, and credit risk assessment, on the other hand, in sub-Saharan Africa exhibit a strong correlation. Moreover, the results have indicated that financial intermediation, along with regulatory compliance credit assessment and artificial intelligence, has also been strongly correlated in sub-Saharan Africa. The study, therefore, suggested that in sub-Saharan Africa, policymakers can stimulate the development of artificial intelligence to meet the needs of poor people and small-scale enterprises. Other studies to be done may explore impediments or obstacles marking the complete use of artificial intelligence in financial intermediation sectors in sub-Saharan Africa. More than that, the study recommended the timely review of artificial intelligence in the early warning of systemic risks in financial mediation.

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Keywords:

Credit, Risk, Artificial Intelligence, Regulations, Compliance, Inflation, Exchange rate.