Backward Stackelberg Games with Delay and Related Forward–Backward Stochastic Differential Equations

Author:

Chen Li1,Zhou Peipei1,Xiao Hua2ORCID

Affiliation:

1. School of Science, China University of Mining and Technology, Beijing 100083, China

2. School of Mathematics and Statistics, Shandong University, Weihai 264209, China

Abstract

In this paper, we study a kind of Stackelberg game where the controlled systems are described by backward stochastic differential delayed equations (BSDDEs). By introducing a new kind of adjoint equation, we establish the sufficient verification theorem for the optimal strategies of the leader and the follower in a general case. Then, we focus on the linear–quadratic (LQ) backward Stackelberg game with delay. The backward Stackelberg equilibrium is presented by the generalized fully coupled anticipated forward–backward stochastic differential delayed Equation (AFBSDDE), which is composed of anticipated stochastic differential equations (ASDEs) and BSDDEs. Moreover, we obtain the unique solvability of the AFBSDDE using the continuation method. As an application of the theoretical results, the pension fund problem with delay effect is considered.

Funder

Yue Qi Young Scholar Project, China University of Mining and Technology, Beijing

NSF of China

NSF of Shandong Province

National Key R&D Program of China

Fundamental Research Funds of the Central Universities

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference32 articles.

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3. Closed-loop Stackelberg solution to a multistage linear-quadratic game;Tolwinski;J. Optim. Theory Appl.,1981

4. Stochastic Stackelberg equilibria with applications to time dependent newsvendor models;Sandal;J. Econ. Dyn. Control,2013

5. The maximum principle for global solutions of stochastic Stackelberg differential games;Bensoussan;SIAM J. Control Optim.,2015

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