Maximum principle for mean-field zero-sum stochastic differential game with partial information and its application to finance

2017 ◽  
Vol 37 ◽  
pp. 8-15 ◽  
Author(s):  
Jinbiao Wu ◽  
Zaiming Liu

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Fu Zhang ◽  
QingXin Meng ◽  
MaoNing Tang

In this paper, we consider a partial information two-person zero-sum stochastic differential game problem, where the system is governed by a backward stochastic differential equation driven by Teugels martingales and an independent Brownian motion. A sufficient condition and a necessary one for the existence of the saddle point for the game are proved. As an application, a linear quadratic stochastic differential game problem is discussed.









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