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Stochastic Target Games with Controlled Loss
Bruno Bouchard 1, 2, Ludovic Moreau 1, Marcel Nutz 3
(2012-06-27)

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 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.
1:  CEntre de REcherches en MAthématiques de la DEcision (CEREMADE)
CNRS : UMR7534 – Université Paris IX - Paris Dauphine
2:  Centre de Recherche en Économie et Statistique (CREST)
INSEE – École Nationale de la Statistique et de l'Administration Économique
3:  Dept. of Mathematics
Columbia University
Mathematics/Probability
Stochastic target – Stochastic game – Geometric dynamic programming principle – Viscosity solution
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