Modeling and A Posteriori Ratemaking for Multiple Perils with the Wishart-Gamma Random Effects Model

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Authors: Minjeong Park, Minji Park, Jae Youn Ahn, Lu Yang
Cited by: 1
References: 17

Abstract

The Wishart-gamma random effects model, introduced by Denuit and Lu (2021), is both flexible and tractable for a variety of insurance applications such as multi-peril ratemaking, frequency-severity ratemaking, and micro-reserving. However, so far, this model has yet to be applied in either the statistical or the actuarial literature, and one important challenge is that its pricing and likelihood

Fields of Study & Subjects

Statistical Methods and Inference

Publication details

Journal / source
North American Actuarial Journal
Publisher
Informa UK Limited
Pages
1–21
Publication date
11 May 2026
Language
EN