STOCHASTIC TARGET GAMES WITH CONTROLLED LOSS

成果类型:
Article
署名作者:
Ouchard, Bruno B.; Moreau, Ludovic; Nutz, Marcel
署名单位:
Universite PSL; Universite Paris-Dauphine; Universite PSL; Universite Paris-Dauphine; Institut Polytechnique de Paris; ENSAE Paris; Swiss Federal Institutes of Technology Domain; ETH Zurich; Columbia University
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/13-AAP938
发表日期:
2014
页码:
899-934
关键词:
g-brownian motion VISCOSITY SOLUTIONS differential-equations g-expectation uncertainty calculus
摘要:
We study a stochastic game where one player tries to find a strategy such that the state process reaches a target of controlled-loss-type, no matter which action is chosen by the other player. We provide, in a general setup, a relaxed geometric dynamic programming principle for this problem and derive, for the case of a controlled SDE, the corresponding dynamic programming equation in the sense of viscosity solutions. As an example, we consider a problem of partial hedging under Knightian uncertainty.