Stochastic target games with controlled loss
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.
|Date of creation:||Jun 2012|
|Date of revision:||Apr 2014|
|Publication status:||Published in Annals of Applied Probability 2014, Vol. 24, No. 3, 899-934|
|Contact details of provider:|| Web page: http://arxiv.org/|
References listed on IDEAS
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- Bruno Bouchard & Marcel Nutz, 2011. "Weak Dynamic Programming for Generalized State Constraints," Papers 1105.0745, arXiv.org, revised Oct 2012.
- Hans FÃllmer & Peter Leukert, 1999. "Quantile hedging," Finance and Stochastics, Springer, vol. 3(3), pages 251-273.
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