A survey of the individual claim size and other risk factors using credibility bonus-malus premiums

Artikel

In this paper, a flexible count regression model based on a bivariate compound Poisson distribution is introduced in order to distinguish between different types of claims according to the claim size. Furthermore, it allows us to analyse the factors that affect the number of claims above and below a given claim size threshold in an automobile insurance portfolio. Relevant properties of this model are given. Next, a mixed regression model is derived to compute credibility bonus-malus premiums based on the individual claim size and other risk factors such as gender, type of vehicle, driving area, or age of the vehicle. Results are illustrated by using a well-known automobile insurance portfolio dataset.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Risks ; ISSN: 2227-9091 ; Volume: 8 ; Year: 2020 ; Issue: 1 ; Pages: 1-19 ; Basel: MDPI

Klassifikation und Themen

• Klassifikation: Wirtschaft
• Thema: aggregate claims ; auto insurance ; Bayesian ; bonus-malus ; compound distribution

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Gómez-Déniz, Emilio ; Calderín-Ojeda, Enrique
• Ereignis: Veröffentlichung
• (wer): MDPI
• (wo): Basel
• (wann): 2020

Weitere Informationen

• DOI: doi:10.3390/risks8010020
• Handle: http://hdl.handle.net/10419/257975
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ