This paper addresses the problem of insurance companies' underwriting decisions under extreme weather conditions. Firstly, the data were preprocessed, including identifying and processing missing data and outlier analysis. Then an underwriting decision-making model based on the extreme weather hazard model and the insurance insolvency factor model is established, and the corresponding solutions are proposed. Finally, through model validation and empirical analysis, the underwriting strategies of insurance companies under different risk levels are derived, and corresponding suggestions are given.
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Li et al. (2024) studied this question.
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