activity
20172022
most citedSolvability of a class of mean-field BSDEs with quadratic growth

8 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2022

A Global Maximum Principle for Controlled Conditional Mean-field FBSDEs with Regime Switching

Tao Hao, Jiaqiang Wen, Jie Xiong

This paper is devoted to a global stochastic maximum principle for conditional mean-field forward-backward stochastic differential equations (FBSDEs, for short) with regime switchi…

math.PR2022★ 2 cited

Mean-field backward stochastic differential equations and nonlocal PDEs with quadratic growth

Tao Hao, Ying Hu, Shanjian Tang +1

In this paper, we study general mean-field backward stochastic differential equations (BSDEs, for short) with quadratic growth. First, the existence and uniqueness of local and glo…

math.PR2022★ 8 cited

Solvability of a class of mean-field BSDEs with quadratic growth

Tao Hao, Jiaqiang Wen, Jie Xiong

In this paper, we study the multi-dimensional mean-field backward stochastic differential equations (BSDEs, for short) with quadratic growth. Under small terminal value, the existe…

math.OC2018★ 1 cited

Anticipated mean-field backward stochastic differential equations with jumps

Tao Hao

In this paper we prove the existence and uniqueness theorem, comparison theorem of a class of anticipated mean-field backward stochastic differential equations with jumps.

math.OC2018★ 1 cited

A global maximum principle for optimal control of general mean-field forward-backward stochastic systems with jumps

Tao Hao, Qingxin Meng

In this paper we prove a necessary condition of the optimal control problem for a class of general mean-field forward-backward stochastic systems with jumps in the case where the d…

math.OC2017

Global maximum principle for mean-field forward-backward stochastic systems with delay and application to finance

Tao Hao, Qingxin Meng

The purpose of this paper is to explore the necessary conditions for optimality of mean-field forward-backward delay control systems. A new estimate is proved, which is a powerfult…