activity
20122023
most citedSelectNet: Self-paced Learning for High-dimensional Partial Differential Equations

68 citations · 173 across the 32 of their papers we have counts for

collaborators

39 papers

q-fin.MF2023

Robust Equilibrium Strategy for Mean-Variance Portfolio Selection

Mengge Li, Shuaijie Qian, Chao Zhou

The classical mean-variance portfolio selection problem induces time-inconsistent (precommited) strategies (see Zhou and Li (2000)). To overcome this time-inconsistency, Basak and…

math.OC2022★ 1 cited

Optimal Controls for Forward-Backward Stochastic Differential Equations: Time-Inconsistency and Time-Consistent Solutions

Hanxiao Wang, Jiongmin Yong, Chao Zhou

This paper is concerned with an optimal control problem for a forward-backward stochastic differential equation (FBSDE, for short) with a recursive cost functional determined by a…

q-fin.MF2022

Robust control problems of BSDEs coupled with value functions

Zhou Yang, Jing Zhang, Chao Zhou

A robust control problem is considered in this paper, where the controlled stochastic differential equations (SDEs) include ambiguity parameters and their coefficients satisfy non-…

math.OC2022

Linear-Quadratic Mean Field Games of Controls with Non-Monotone Data

Min Li, Chenchen Mou, Zhen Wu +1

In this paper, we study a class of linear-quadratic (LQ) mean field games of controls with common noises and their corresponding -player games. The theory of mean field game of…

math.OC2022

Linear-Quadratic Optimal Controls for Stochastic Volterra Integral Equations: Causal State Feedback and Path-Dependent Riccati Equations

Hanxiao Wang, Jiongmin Yong, Chao Zhou

A linear-quadratic optimal control problem for a forward stochastic Volterra integral equation (FSVIE, for short) is considered. Under the usual convexity conditions, open-loop opt…

q-fin.PM2022★ 2 cited

Power Forward Performance in Semimartingale Markets with Stochastic Integrated Factors

Lijun Bo, Agostino Capponi, Chao Zhou

We study the forward investment performance process (FIPP) in an incomplete semimartingale market model with closed and convex portfolio constraints, when the investor's risk prefe…

math.OC2021★ 1 cited

Robust exploratory mean-variance problem with drift uncertainty

Chenchen Mou, Weiwei Zhang, Chao Zhou

We solve a min-max problem in a robust exploratory mean-variance problem with drift uncertainty in this paper. It is verified that robust investors choose the Sharpe ratio with min…

q-fin.MF2021

Mean Field Portfolio Games

Guanxing Fu, Chao Zhou

We study mean field portfolio games with random market parameters, where each player is concerned with not only her own wealth but also relative performance to her competitors. We…

q-fin.PM2020★ 4 cited

Relative wealth concerns with partial information and heterogeneous priors

Chao Deng, Xizhi Su, Chao Zhou

We establish a Nash equilibrium in a market with agents with the performance criteria of relative wealth level when the market return is unobservable. Each investor has a ran…

math.OC2020★ 6 cited

Mean Field Exponential Utility Game: A Probabilistic Approach

Guanxing Fu, Xizhi Su, Chao Zhou

We study an -player and a mean field exponential utility game. Each player manages two stocks; one is driven by an individual shock and the other is driven by a common shock. Mo…

math.NA2020★ 68 cited

SelectNet: Self-paced Learning for High-dimensional Partial Differential Equations

Yiqi Gu, Haizhao Yang, Chao Zhou

The least squares method with deep neural networks as function parametrization has been applied to solve certain high-dimensional partial differential equations (PDEs) successfully…

q-fin.MF2019

Portfolio liquidation under factor uncertainty

Ulrich Horst, Xiaonyu Xia, Chao Zhou

We study an optimal liquidation problem under the ambiguity with respect to price impact parameters. Our main results show that the value function and the optimal trading strategy…

q-fin.MF2019

Lifetime Ruin under High-watermark Fees and Drift Uncertainty

Junbeom Lee, Xiang Yu, Chao Zhou

This paper aims to make a new contribution to the study of lifetime ruin problem by considering investment in two hedge funds with high-watermark fees and drift uncertainty. Due to…

q-fin.MF2019★ 1 cited

Horizon-unbiased Investment with Ambiguity

Qian Lin, Xianming Sun, Chao Zhou

In the presence of ambiguity on the driving force of market randomness, we consider the dynamic portfolio choice without any predetermined investment horizon. The investment criter…

q-fin.MF2019

A Risk-Sharing Framework of Bilateral Contracts

Junbeom Lee, Stephan Sturm, Chao Zhou

We introduce a two-agent problem which is inspired by price asymmetry arising from funding difference. When two parties have different funding rates, the two parties deduce differe…

q-fin.MF2018★ 5 cited

The Alpha-Heston Stochastic Volatility Model

Ying Jiao, Chunhua Ma, Simone Scotti +1

We introduce an affine extension of the Heston model where the instantaneous variance process contains a jump part driven by -stable processes with . In this framewor…

math.PR2018

Power Forward Performance in Semimartingale Markets with Stochastic Integrated Factors

Lijun Bo, Agostino Capponi, Chao Zhou

We study the forward investment performance process (FIPP) in an incomplete semimartingale market model with closed and convex portfolio constraints, when the investor's risk prefe…

q-fin.PM2018

Portfolio diversification and model uncertainty: a robust dynamic mean-variance approach

Huyen Pham, Xiaoli Wei, Chao Zhou

This paper focuses on a dynamic multi-asset mean-variance portfolio selection problem under model uncertainty. We develop a continuous time framework for taking into account ambigu…

math.PR2018★ 1 cited

Second order stochastic target problems with generalized market impact

Bruno Bouchard, Grégoire Loeper, Halil Mete Soner +1

We extend the study of [7, 18] to stochastic target problems with general market impacts. Namely, we consider a general abstract model which can be associated to a fully nonlinear…

math.OC2018

On Dynamic Programming Principle for Stochastic Control under Expectation Constraints

Yuk-Loong Chow, Xiang Yu, Chao Zhou

This paper studies the dynamic programming principle using the measurable selection method for stochastic control of continuous processes. The novelty of this work is to incorporat…

math.PR2017★ 1 cited

Second order BSDE under monotonicity condition and liquidation problem under uncertainty *

Alexandre Popier, Chao Zhou

In this work we investigate an optimal closure problem under Knightian uncertainty. We obtain the value function and an optimal control as the minimal (super-)solution of a second…

math.OC2017★ 12 cited

Unbiased Simulation for Optimizing Stochastic Function Compositions

Jose Blanchet, Donald Goldfarb, Garud Iyengar +2

In this paper, we introduce an unbiased gradient simulation algorithms for solving convex optimization problem with stochastic function compositions. We show that the unbiased grad…

q-fin.PM2017

Constrained portfolio-consumption strategies with uncertain parameters and borrowing costs

Zhou Yang, Gechun Liang, Chao Zhou

This paper studies the properties of the optimal portfolio-consumption strategies in a {finite horizon} robust utility maximization framework with different borrowing and lending r…

math.OC2017

A new Mertens decomposition of -submartingale systems. Application to BSDEs with weak constraints at stopping times

Roxana Dumitrescu, Romuald Elie, Wissal Sabbagh +1

We first introduce the concept of -submartingale systems, where the nonlinear operator corresponds to the first component of the solution of…