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Abstract
This study examines the impact of credit risk modeling techniques on the performance of life insurance companies in Nigeria., focusing on a sample of 12 life insurance companies in Nigeria over the period 2018 to 2024. The variables analyzed included credit scoring, structural model and Altman Z-score model. Various statistical and econometric tools were applied to analyze the data. The findings revealed that credit scoring and Altman Z-score model have positive and statistically insignificant effects on the financial performance of life insurance companies in Nigeria, while the structural model has a negative and statistically insignificant influence on the financial performance of life insurance companies in Nigeria. Based on these findings, the study recommended that life insurance firms in Nigeria strengthen the adoption and integration of credit scoring systems using advanced data analytics and artificial intelligence and firms should review and customize structural models to better suit the operational and regulatory environment of the Nigerian insurance industry.
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