## The Annals of Applied Probability

### Stochastic target games with controlled loss

#### Abstract

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.

#### Article information

Source
Ann. Appl. Probab., Volume 24, Number 3 (2014), 899-934.

Dates
First available in Project Euclid: 23 April 2014

Permanent link to this document
https://projecteuclid.org/euclid.aoap/1398258092

Digital Object Identifier
doi:10.1214/13-AAP938

Mathematical Reviews number (MathSciNet)
MR3199977

Zentralblatt MATH identifier
1290.49075

#### Citation

Bouchard, Bruno; Moreau, Ludovic; Nutz, Marcel. Stochastic target games with controlled loss. Ann. Appl. Probab. 24 (2014), no. 3, 899--934. doi:10.1214/13-AAP938. https://projecteuclid.org/euclid.aoap/1398258092

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