A Note on $G$- Optimal Stopping Problems
Xin Guo, Chen Pan, Shige Peng

TL;DR
This paper investigates $G$-optimal stopping problems, establishing their well-definedness and providing a verification theorem, showing their equivalence to classical problems under certain conditions.
Contribution
It introduces a framework for $G$-optimal stopping problems, proving well-definedness and a verification theorem, and clarifies their relation to classical problems.
Findings
Established the quasi-continuity of the stopped process under $G$-expectation.
Proved a verification theorem for $G$-optimal stopping problems.
Showed equivalence to classical problems with convex or concave payoffs.
Abstract
We consider a class of discretionary stopping problems within the -framework. We first establish the well-definedness of the stopping problem under the -expectation, by showing the quasi-continuity of the stopped process. We then prove a verification theorem for -optimal stopping problem. One corollary is a direct proof for the well-known fact that the -optimal stopping problem is the same as the classical optimal stopping problem with appropriate parameters, when the payoff function is concave or convex.
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Taxonomy
TopicsStochastic processes and financial applications · Optimization and Search Problems · Risk and Portfolio Optimization
