User profiles for Hanwu Li
Hanwu LiCenter for Mathematical Economics, Bielefeld University Verified email at uni-bielefeld.de Cited by 158 |
Propagation of chaos for doubly mean reflected BSDEs
H Li, N Ning - arXiv preprint arXiv:2401.16617, 2024 - arxiv.org
In this paper, we establish propagation of chaos (POC) for doubly mean reflected backward
stochastic differential equations (MRBSDEs). MRBSDEs differentiate the typical RBSDEs in …
stochastic differential equations (MRBSDEs). MRBSDEs differentiate the typical RBSDEs in …
Reflected solutions of backward stochastic differential equations driven by G-Brownian motion
H Li, S Peng, A Soumana Hima - Science China Mathematics, 2018 - Springer
In this paper, we study the reflected solutions of one-dimensional backward stochastic
differential equations driven by G-Brownian motion. The reflection keeps the solution above a …
differential equations driven by G-Brownian motion. The reflection keeps the solution above a …
Backward stochastic differential equations with double mean reflections
H Li - Stochastic Processes and their Applications, 2024 - Elsevier
In this paper, we study the backward stochastic differential equation (BSDE) with two nonlinear
mean reflections, which means that the constraints are imposed on the distribution of the …
mean reflections, which means that the constraints are imposed on the distribution of the …
Optimal stopping and optimal multiple stopping problem without aggregation of reward family
H Li - Mathematical Control and Related Fields, 2025 - aimsciences.org
In this paper, we study the optimal stopping problem under the filtration consistent nonlinear
expectations, where the reward is given by a set of nonnegative random variables. Under …
expectations, where the reward is given by a set of nonnegative random variables. Under …
Optimal Consumption for Recursive Preferences with Local Substitution under Risk
H Li, F Riedel - arXiv preprint arXiv:2409.07799, 2024 - arxiv.org
We explore intertemporal preferences that are recursive and account for local intertemporal
substitution. First, we establish a rigorous foundation for these preferences and analyze their …
substitution. First, we establish a rigorous foundation for these preferences and analyze their …
[HTML][HTML] Reflected backward stochastic differential equation driven by G-Brownian motion with an upper obstacle
H Li, S Peng - Stochastic Processes and their Applications, 2020 - Elsevier
In this paper, we study the reflected backward stochastic differential equation driven by G -Brownian
motion (reflected G -BSDE for short) with an upper obstacle. The existence is proved …
motion (reflected G -BSDE for short) with an upper obstacle. The existence is proved …
Backward Stochastic Differential Equations Driven by G-Brownian Motion with Double Reflections
In this paper, we study the reflected backward stochastic differential equations driven by G-Brownian
motion with two reflecting obstacles, which means that the solution lies between …
motion with two reflecting obstacles, which means that the solution lies between …
Supermartingale decomposition theorem under -expectation
The objective of this paper is to establish the decomposition theorem for supermartingales
under the $G$-framework. We first introduce a $g$-nonlinear expectation via a kind of $G$-…
under the $G$-framework. We first introduce a $g$-nonlinear expectation via a kind of $G$-…
Reflected backward stochastic differential equations with rough drivers
H Li, H Zhang, K Zhang - arXiv preprint arXiv:2407.17898, 2024 - arxiv.org
In this paper, we study reflected backward stochastic differential equations driven by rough
paths (rough RBSDEs), which can be understood as a probabilistic representation of …
paths (rough RBSDEs), which can be understood as a probabilistic representation of …
Stochastic Differential Equations Driven by G-Brownian Motion with Mean Reflections
In this paper, we study the mean reflected stochastic differential equations driven by G-
Brownian motion, where the constraint depends on the distribution of the solution rather than on …
Brownian motion, where the constraint depends on the distribution of the solution rather than on …