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Optimal dividend policy with self-exciting claims in the Gamma–Omega model

Kob Liu, Zhuo Jin, Shuanming Li Orcid Logo

Finance Research Letters, Start page: 106162

Swansea University Author: Kob Liu

Abstract

In this paper, we consider the optimal dividend policy for an insurance company under a contagious insurance market, where the occurrence of a claim can trigger sequent claims. This clustering effect is modelled by a self-exciting Hawkes process where the intensity of claims depends on its historica...

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Published in: Finance Research Letters
ISSN: 1544-6123
Published: Elsevier BV 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67782
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Abstract: In this paper, we consider the optimal dividend policy for an insurance company under a contagious insurance market, where the occurrence of a claim can trigger sequent claims. This clustering effect is modelled by a self-exciting Hawkes process where the intensity of claims depends on its historical path. In addition, we include the concept of bankruptcy to allow the insurance company to operate with a temporary negative surplus. The objective of the management is to obtain the optimal dividend strategy that maximises the expected discounted dividend payments until bankruptcy. The Hamilton–Jacobi–Bellman variational inequalities (HJBVIs) are derived rigorously. When claim sizes follow exponential distributions and the bankruptcy rate is a positive constant, the value function can be obtained based on the Gerber–Shiu penalty function and the optimal dividend barrier can be solved numerically. Finally, numerical examples are demonstrated to show the impact of key parameters on the optimal dividend strategy.
Keywords: Dynamic programming, self-exciting Hawkes process, Gamma-Omega model, optimaldividend strategy
College: Faculty of Science and Engineering
Funders: Swansea University
Start Page: 106162