Work

Stochastic Perron for stochastic target games

Year: 2014
Type: preprint
Abstract: We extend the stochastic Perron method to analyze the framework of stochastic target games, in which one player tries to find a strategy such that the state process almost surely reaches a given target no matter which action is chosen by the other player. Within this framework, our method produces a viscosity sub-solution (super-solution) of a Hamilton-Jacobi-Bellman (HJB) equation. We then characterize the value function as a viscosity solution to the HJB equation using a comparison result and a byproduct to obtain the dynamic programming principle.
Language: English
Subfield: Finance
Open Access status: green
OpenAlex ID: W2490159976
Cites: 15
Cited by: 1
Related to: 10