CREDIT RISK MODELLING TECHNIQUES FOR LIFEINSURERS
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Abstract
This research delves into the realm of credit risk modeling within the life insurance sector. It setout with several objectives, including identifying effective methods for modeling credit risktailored to life insurance companies, evaluating the repercussions of credit risks on these insurers, investigating the advantages of extending credit to them, exploring the connection betweencreditpractices and the performance of insurers, and gauging the accessibility of credit facilities forinsurers. To conduct this investigation, a combination of descriptive and explanatory research designs wasemployed. Data collection encompassed the use of questionnaires and library research. Theprimary data sources consisted of responses gathered from 32 employees at AfricanAllianceInsurance Plc in Benin. Data analysis hinged on the chi-square statistical tool with a significancelevel set at 5%. The findings, displayed through frequency tables and percentages, unveiledthatinsurance companies grapple with substantial credit risks that have adverse effects ontheiroperations. Consequently, the study recommends that the Nigerian government and relevant stakeholdersshould collaborate to establish a credit model for insurance facilities that carries lower levelsof risk, in alignment with the insights derived from this research..
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