A maximum principle for Markov regime-switching forward‐backward stochastic differential games and applications

A maximum principle for Markov regime-switching forward‐backward stochastic differential games and applications

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Article ID: iaor20173378
Volume: 85
Issue: 3
Start Page Number: 349
End Page Number: 388
Publication Date: Jun 2017
Journal: Mathematical Methods of Operations Research
Authors: ,
Keywords: markov processes, stochastic processes, control, optimization, simulation, investment
Abstract:

In this paper, we present an optimal control problem for stochastic differential games under Markov regime‐switching forward–backward stochastic differential equations with jumps. First, we prove a sufficient maximum principle for nonzero‐sum stochastic differential games problems and obtain equilibrium point for such games. Second, we prove an equivalent maximum principle for nonzero‐sum stochastic differential games. The zero‐sum stochastic differential games equivalent maximum principle is then obtained as a corollary. We apply the obtained results to study a problem of robust utility maximization under a relative entropy penalty and to find optimal investment of an insurance firm under model uncertainty.

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