English

On the Robust Dynkin Game

Probability 2016-09-13 v3 Optimization and Control Mathematical Finance

Abstract

We study a robust Dynkin game over a set of mutually singular probabilities. We first prove that for the conservative player of the game, her lower and upper value processes coincide (i.e. She has a value process VV in the game). Such a result helps people connect the robust Dynkin game with second-order doubly reflected backward stochastic differential equations. Also, we show that the value process VV is a submartingale under an appropriately defined nonlinear expectations up to the first time τ\tau_* when VV meets the lower payoff process LL. If the probability set is weakly compact, one can even find an optimal triplet. The mutual singularity of probabilities in causes major technical difficulties. To deal with them, we use some new methods including two approximations with respect to the set of stopping times. The mutual singularity of probabilities causes major technical difficulties. To deal with them, we use some new methods including two approximations with respect to the set of stopping times

Keywords

Cite

@article{arxiv.1506.09184,
  title  = {On the Robust Dynkin Game},
  author = {Erhan Bayraktar and Song Yao},
  journal= {arXiv preprint arXiv:1506.09184},
  year   = {2016}
}

Comments

To appear in Annals of Applied Probability. Keywords: robust Dynkin game, nonlinear expectation, dynamic programming principle, controls in weak formulation, weak stability under pasting, martingale approach, path-dependent stochastic differential equations with controls, optimal triplet, optimal stopping with random maturity

R2 v1 2026-06-22T10:03:12.815Z