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Main Authors: Enzi, Lea, Thonhauser, Stefan
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2503.20555
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author Enzi, Lea
Thonhauser, Stefan
author_facet Enzi, Lea
Thonhauser, Stefan
contents We study a stochastic differential game in a ruin theoretic environment. In our setting two insurers compete for market share, which is represented by a joint performance functional. Consequently, one of the insurers strives to maximize it, while the other seeks to minimize it. As a modelling basis we use classical surplus processes extended by dynamic reinsurance opportunities, which allows us to use techniques from the theory of piecewise deterministic Markov processes to analyze the resulting game. In this context we show that a dynamic programming principle for the upper and lower value of the game holds true and that these values are unique viscosity solutions to the associated Bellman-Isaacs equations. Finally, we provide some numerical illustrations.
format Preprint
id arxiv_https___arxiv_org_abs_2503_20555
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimal reinsurance in a competitive market
Enzi, Lea
Thonhauser, Stefan
Optimization and Control
We study a stochastic differential game in a ruin theoretic environment. In our setting two insurers compete for market share, which is represented by a joint performance functional. Consequently, one of the insurers strives to maximize it, while the other seeks to minimize it. As a modelling basis we use classical surplus processes extended by dynamic reinsurance opportunities, which allows us to use techniques from the theory of piecewise deterministic Markov processes to analyze the resulting game. In this context we show that a dynamic programming principle for the upper and lower value of the game holds true and that these values are unique viscosity solutions to the associated Bellman-Isaacs equations. Finally, we provide some numerical illustrations.
title Optimal reinsurance in a competitive market
topic Optimization and Control
url https://arxiv.org/abs/2503.20555