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Analyzing Size of Loss Frequency Distribution Patterns: Uncovering the Impact of the COVID-19 Pandemic

Authors :
Shengkun Xie
Yuanshun Li
Source :
Risks, Vol 12, Iss 2, p 40 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

This study delves into a critical examination of the Size of Loss distribution patterns in the context of auto insurance during pre- and post-pandemics, emphasizing their profound influence on insurance pricing and regulatory frameworks. Through a comprehensive analysis of the historical Size of Loss data, insurers and regulators gain essential insights into the probabilities and magnitudes of insurance claims, informing the determination of precise insurance premiums and the management of case reserving. This approach aids in fostering fair competition, ensuring equitable premium rates, and preventing discriminatory pricing practices, thereby promoting a balanced insurance landscape. The research further investigates the impact of the COVID-19 pandemic on these Size of Loss patterns, given the substantial shifts in driving behaviours and risk landscapes. Also, the research contributes to the literature by addressing the need for more studies focusing on the implications of the COVID-19 pandemic on pre- and post-pandemic auto insurance loss patterns, thus offering a holistic perspective encompassing both insurance pricing and regulatory dimensions.

Details

Language :
English
ISSN :
22279091
Volume :
12
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Risks
Publication Type :
Academic Journal
Accession number :
edsdoj.97a96f978514071ba7a73a06e2c7125
Document Type :
article
Full Text :
https://doi.org/10.3390/risks12020040