Strategic Randomization: Equilibria in Markov Stopping Games
This talk explores equilibrium concepts in stopping games with underlying diffusion processes. We address key challenges in classical existence results for equilibria, focusing on two common approaches: (1) equilibria in general randomized stopping times, which are too broad to allow for explicit solutions and fail to respect subgame perfection, and (2) equilibria in first-entry times, which rely on overly restrictive conditions.
As an alternative, we introduce the concept of Markovian randomized stopping times, providing a unifying framework to overcome these limitations. We establish general existence theorems for Markovian equilibria across a wide range of stopping games. This approach has two key advantages: (1) it enables explicit solutions in diverse scenarios, and (2) it offers clear game-theoretic interpretations, enhancing its relevance for both theory and applications.
The talk is based on joint work with: Boy Schultz and Kristoffer Lindensjö.