Research on insurance policy formulation based on ARIMA-KMEANS algorithm

This paper is about the property insurance industry facing the challenge of extreme weather events. The research focuses on how to adapt and mitigate these challenges in order to maintain the sustainability of the insurance market and the financial security of property owners. This study focuses on the impact of extreme weather events on the property and casualty insurance industry, the risk assessment framework, and the use of open source risk assessment software and climate prediction models to analyze the impact of climate change on exposure to extreme climate events. This research fills a gap in the existing literature by developing more robust risk assessment methodologies, integrating climate change projections into insurance policies, and considering the role of socioeconomic factors in insurance decisions. A scientific disaster risk quantification framework is developed, which provides theoretical basis and methodological support for the formulation of disaster management strategies. The risk region is divided by K-means algorithm, and the Arima model is used to predict the potential future economic loss of the insurance industry.