location: Current position: Home >> Scientific Research >> Paper Publications

Forward-backward stochastic differential games for optimal investment and dividend problem of an insurer under model uncertainty

Hits:

Indexed by:期刊论文

Date of Publication:2018-06-01

Journal:APPLIED MATHEMATICAL MODELLING

Included Journals:SCIE、EI、CPCI-S、SSCI

Volume:58

Page Number:254-269

ISSN No.:0307-904X

Key Words:Stochastic differential game; Forward-backward stochastic differential equations; Maximum principle; Regular-singular control; Model uncertainty; Asymmetry informations

Abstract:We consider optimal investment and dividend problem of an insurer, where the insurer decides dividend payment policy and invests his surplus into the financial market to manage his risk exposure. The insurer's control problem, with the presence of model uncertainty, is formulated as zero-sum, forward-backward games between insurer and market. In the framework of game theory, we develop the games between insurer and market to the more general forward-backward stochastic differential games, where the system is governed by forward-backward stochastic differential equations; the control processes are regular-singular controls; and the informations available to the two players are asymmetric partial informations. Then the maximum principles are established to give sufficient and necessary optimality conditions for the saddle points of the general forward-backward games. Finally, we apply the maximum principles to solve the optimal investment and dividend problem of an insurer under model uncertainty. (C) 2017 Elsevier Inc. All rights reserved.

Pre One:Maximum principle via Malliavin calculus for regular-singular stochastic differential games

Next One:A novel strategy to analyse the form drag on pressure ridges and the air-ice drag coefficient in the north-western Weddell Sea