Non-zero sum differential games of anticipated forward-backward stochastic differential delayed equations under partial information and application

Abstract This paper is concerned with a non-zero sum differential game problem of an anticipated forward-backward stochastic differential delayed equation under partial information. We establish a maximum principle and a verification theorem for the Nash equilibrium point by virtue of the duality an...

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Main Author: Yi Zhuang
Format: Article
Language:English
Published: SpringerOpen 2017-12-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-017-1438-1
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author Yi Zhuang
author_facet Yi Zhuang
author_sort Yi Zhuang
collection DOAJ
description Abstract This paper is concerned with a non-zero sum differential game problem of an anticipated forward-backward stochastic differential delayed equation under partial information. We establish a maximum principle and a verification theorem for the Nash equilibrium point by virtue of the duality and convex variation approach. We study a linear-quadratic system under partial information and present an explicit form of the Nash equilibrium point. We derive the filtering equations and prove the existence and uniqueness for the Nash equilibrium point. As an application, we solve a time-delayed pension fund management problem with nonlinear expectation to measure the risk and obtain the explicit solution.
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spelling doaj.art-927603ccbc2543f49c7a7829d04c87402022-12-22T02:26:57ZengSpringerOpenAdvances in Difference Equations1687-18472017-12-012017112110.1186/s13662-017-1438-1Non-zero sum differential games of anticipated forward-backward stochastic differential delayed equations under partial information and applicationYi Zhuang0School of Mathematics, Shandong UniversityAbstract This paper is concerned with a non-zero sum differential game problem of an anticipated forward-backward stochastic differential delayed equation under partial information. We establish a maximum principle and a verification theorem for the Nash equilibrium point by virtue of the duality and convex variation approach. We study a linear-quadratic system under partial information and present an explicit form of the Nash equilibrium point. We derive the filtering equations and prove the existence and uniqueness for the Nash equilibrium point. As an application, we solve a time-delayed pension fund management problem with nonlinear expectation to measure the risk and obtain the explicit solution.http://link.springer.com/article/10.1186/s13662-017-1438-1stochastic differential gamemaximum principlestochastic differential delayed equationlinear-quadratic problempartial informationg-expectation
spellingShingle Yi Zhuang
Non-zero sum differential games of anticipated forward-backward stochastic differential delayed equations under partial information and application
Advances in Difference Equations
stochastic differential game
maximum principle
stochastic differential delayed equation
linear-quadratic problem
partial information
g-expectation
title Non-zero sum differential games of anticipated forward-backward stochastic differential delayed equations under partial information and application
title_full Non-zero sum differential games of anticipated forward-backward stochastic differential delayed equations under partial information and application
title_fullStr Non-zero sum differential games of anticipated forward-backward stochastic differential delayed equations under partial information and application
title_full_unstemmed Non-zero sum differential games of anticipated forward-backward stochastic differential delayed equations under partial information and application
title_short Non-zero sum differential games of anticipated forward-backward stochastic differential delayed equations under partial information and application
title_sort non zero sum differential games of anticipated forward backward stochastic differential delayed equations under partial information and application
topic stochastic differential game
maximum principle
stochastic differential delayed equation
linear-quadratic problem
partial information
g-expectation
url http://link.springer.com/article/10.1186/s13662-017-1438-1
work_keys_str_mv AT yizhuang nonzerosumdifferentialgamesofanticipatedforwardbackwardstochasticdifferentialdelayedequationsunderpartialinformationandapplication