TY - JOUR
T1 - On Zero-Sum Optimal Stopping Games
AU - Bayraktar, Erhan
AU - Zhou, Zhou
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media New York.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - On a filtered probability space (Ω,F,P,F=(Ft)t=0,…,T), we consider stopping games V¯:=infρ∈Tiisupτ∈TE[U(ρ(τ),τ)] and V̲:=supτ∈Tiinfρ∈TE[U(ρ,τ(ρ))] in discrete time, where U(s, t) is Fs ∨ t-measurable instead of Fs ∧ t-measurable as is assumed in the literature on Dynkin games, T is the set of stopping times, and Ti and Ti i are sets of mappings from T to T satisfying certain non-anticipativity conditions. We will see in an example that there is no room for stopping strategies in classical Dynkin games unlike the new stopping game we are introducing. We convert the problems into an alternative Dynkin game, and show that V¯=V̲=V, where V is the value of the Dynkin game. We also get optimal ρ∈ Ti i and τ∈ Ti for V¯ and V̲ respectively.
AB - On a filtered probability space (Ω,F,P,F=(Ft)t=0,…,T), we consider stopping games V¯:=infρ∈Tiisupτ∈TE[U(ρ(τ),τ)] and V̲:=supτ∈Tiinfρ∈TE[U(ρ,τ(ρ))] in discrete time, where U(s, t) is Fs ∨ t-measurable instead of Fs ∧ t-measurable as is assumed in the literature on Dynkin games, T is the set of stopping times, and Ti and Ti i are sets of mappings from T to T satisfying certain non-anticipativity conditions. We will see in an example that there is no room for stopping strategies in classical Dynkin games unlike the new stopping game we are introducing. We convert the problems into an alternative Dynkin game, and show that V¯=V̲=V, where V is the value of the Dynkin game. We also get optimal ρ∈ Ti i and τ∈ Ti for V¯ and V̲ respectively.
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U2 - 10.1007/s00245-017-9412-6
DO - 10.1007/s00245-017-9412-6
M3 - Article
AN - SCOPUS:85016932294
SN - 0095-4616
VL - 78
SP - 457
EP - 468
JO - Applied Mathematics and Optimization
JF - Applied Mathematics and Optimization
IS - 3
ER -