Necessary and Sufficient Optimality Conditions for Regular–Singular Stochastic Differential Games with Asymmetric Information

We consider a class of regular–singular stochastic differential games arising in the optimal investment and dividend problem of an insurer under model uncertainty. The information available to the two players is asymmetric partial information and the control variable of each player consists of two c...

Full description

Bibliographic Details
Main Authors: Wang, Y., Wang, L., Teo, Kok Lay
Format: Journal Article
Published: Springer New York LLC 2018
Online Access:http://hdl.handle.net/20.500.11937/71263
_version_ 1848762433612546048
author Wang, Y.
Wang, L.
Teo, Kok Lay
author_facet Wang, Y.
Wang, L.
Teo, Kok Lay
author_sort Wang, Y.
building Curtin Institutional Repository
collection Online Access
description We consider a class of regular–singular stochastic differential games arising in the optimal investment and dividend problem of an insurer under model uncertainty. The information available to the two players is asymmetric partial information and the control variable of each player consists of two components: regular control and singular control. We establish the necessary and sufficient optimality conditions for the saddle point of the zero-sum game. Then, as an application, these conditions are applied to an optimal investment and dividend problem of an insurer under model uncertainty. Furthermore, we generalize our results to the nonzero-sum regular–singular game with asymmetric information, and then the Nash equilibrium point is characterized.
first_indexed 2025-11-14T10:47:30Z
format Journal Article
id curtin-20.500.11937-71263
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:47:30Z
publishDate 2018
publisher Springer New York LLC
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-712632020-06-15T01:31:34Z Necessary and Sufficient Optimality Conditions for Regular–Singular Stochastic Differential Games with Asymmetric Information Wang, Y. Wang, L. Teo, Kok Lay We consider a class of regular–singular stochastic differential games arising in the optimal investment and dividend problem of an insurer under model uncertainty. The information available to the two players is asymmetric partial information and the control variable of each player consists of two components: regular control and singular control. We establish the necessary and sufficient optimality conditions for the saddle point of the zero-sum game. Then, as an application, these conditions are applied to an optimal investment and dividend problem of an insurer under model uncertainty. Furthermore, we generalize our results to the nonzero-sum regular–singular game with asymmetric information, and then the Nash equilibrium point is characterized. 2018 Journal Article http://hdl.handle.net/20.500.11937/71263 10.1007/s10957-018-1251-3 Springer New York LLC restricted
spellingShingle Wang, Y.
Wang, L.
Teo, Kok Lay
Necessary and Sufficient Optimality Conditions for Regular–Singular Stochastic Differential Games with Asymmetric Information
title Necessary and Sufficient Optimality Conditions for Regular–Singular Stochastic Differential Games with Asymmetric Information
title_full Necessary and Sufficient Optimality Conditions for Regular–Singular Stochastic Differential Games with Asymmetric Information
title_fullStr Necessary and Sufficient Optimality Conditions for Regular–Singular Stochastic Differential Games with Asymmetric Information
title_full_unstemmed Necessary and Sufficient Optimality Conditions for Regular–Singular Stochastic Differential Games with Asymmetric Information
title_short Necessary and Sufficient Optimality Conditions for Regular–Singular Stochastic Differential Games with Asymmetric Information
title_sort necessary and sufficient optimality conditions for regular–singular stochastic differential games with asymmetric information
url http://hdl.handle.net/20.500.11937/71263