A Study of Property Insurance Sustainability Based on ARIMA and CGDAM-WRIR Models

Jiaxuan Zhang; Jiuji Rong

doi:10.62051/txm2nm61

Authors

Jiaxuan Zhang
Jiuji Rong

DOI:

https://doi.org/10.62051/txm2nm61

Keywords:

ARIMA; CGDAM-WRIR; polynomial fit.

Abstract

The property insurance industry faces significant challenges against the backdrop of the high incidence of extreme weather events around the world. This study focuses on insurers writing policies in high-risk areas and explores how communities and real estate developers are adapting their insurance models to enhance property resilience. We provide an in-depth analysis of the impact of climate change on the sustainability of the insurance industry and use ARIMA and CGDAM-WRIR models to predict the potential losses and impacts of future extreme weather events. Finally, polynomial fitting is used to analyze the effects of earthquakes on buildings, the economy, and human life. Findings suggest that increased demand for insurance is causing insurers to re-evaluate underwriting strategies, especially in high-risk areas. Community engagement and real estate development strategies are critical in reducing costs and expanding coverage, and governments, insurers and communities are called upon to work together to effectively address climate change challenges.

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