English

On Zero-sum Optimal Stopping Games

Probability 2017-03-29 v3 Optimization and Control Mathematical Finance

Abstract

On a filtered probability space (Ω,F,P,F=(Ft)t=0,,T)(\Omega,\mathcal{F},P,\mathbb{F}=(\mathcal{F}_t)_{t=0,\dotso,T}), we consider stopper-stopper games V:=infP\bTiisupτ\T\E[U(P(τ),τ)]\overline V:=\inf_{\Rho\in\bT^{ii}}\sup_{\tau\in\T}\E[U(\Rho(\tau),\tau)] and V:=supT\bTiinfρ\T\E[U(P(τ),τ)]\underline V:=\sup_{\Tau\in\bT^i}\inf_{\rho\in\T}\E[U(\Rho(\tau),\tau)] in discrete time, where U(s,t)U(s,t) is Fst\mathcal{F}_{s\vee t}-measurable instead of Fst\mathcal{F}_{s\wedge t}-measurable as is often assumed in the literature, \T\T is the set of stopping times, and \bTi\bT^i and \bTii\bT^{ii} are sets of mappings from \T\T to \T\T satisfying certain non-anticipativity conditions. We convert the problems into a corresponding Dynkin game, and show that V=V=V\overline V=\underline V=V, where VV is the value of the Dynkin game. We also get the optimal P\bTii\Rho\in\bT^{ii} and T\bTi\Tau\in\bT^i for V\overline V and V\underline V respectively.

Keywords

Cite

@article{arxiv.1408.3692,
  title  = {On Zero-sum Optimal Stopping Games},
  author = {Erhan Bayraktar and Zhou Zhou},
  journal= {arXiv preprint arXiv:1408.3692},
  year   = {2017}
}

Comments

Final version. To appear in Applied Mathematics and Optimization

R2 v1 2026-06-22T05:30:41.022Z