XD He, XY Zhou - … Analysis, Filtering, and Stochastic Optimization: A …, 2022 - Springer
Time inconsistency is prevalent in dynamic choice problems: a plan of actions to be taken in the future that is optimal for an agent today may not be optimal for the same agent in the …
This paper studies dynamic mean-variance (MV) asset allocation problems in general incomplete markets. Besides of the conventional MV objective on portfolio's terminal wealth …
B Han, CS Pun, HY Wong - Applied Mathematics & Optimization, 2022 - Springer
This paper studies stochastic linear-quadratic control with a time-inconsistent objective and worst-case drift disturbance. We allow the agent to introduce disturbances to reflect her …
This paper studies a general class of time-inconsistent stochastic control problems under ambiguous covariance matrix. The time inconsistency is caused in various ways by a …
This paper studies the well‐posedness of a class of nonlocal fully nonlinear parabolic systems, which nest the equilibrium Hamilton–Jacobi–Bellman (HJB) systems that …
E Bayraktar, B Han - arXiv preprint arXiv:2302.01498, 2023 - arxiv.org
Given two probability measures on sequential data, we investigate the transport problem with time-inconsistent preferences under a discrete-time setting. Motivating examples are …
L Wang, MC Chiu, HY Wong - Scandinavian Actuarial Journal, 2023 - Taylor & Francis
This paper investigates the time-consistent mean-variance reinsurance-investment (RI) problem faced by life insurers. Inspired by recent findings that mortality rates exhibit long …
In this paper, we establish existence, uniqueness, and regularity properties of the solutions to multi-dimensional backward stochastic Volterra integral equations (BSVIEs), whose …
B Han - arXiv preprint arXiv:2203.10571, 2022 - arxiv.org
This work studies distributionally robust evaluation of expected function values over temporal data. A set of alternative measures is characterized by the causal optimal transport …