activity
20122025
most citedImproving Value-at-Risk prediction under model uncertainty

57 citations · 70 across the 31 of their papers we have counts for

collaborators

33 papers

math.OC2025

Minimum-Time Stochastic Optimal Control Problems Under Mean Constraints and Application to Portfolio Investment

Shuzhen Yang

Motivated by the practical demand for minimum-time optimal investment problems, we develop a unified framework for mean constraints minimum-time stochastic optimal control problems…

q-fin.MF2024

Robust asset pricing and superhedging duality under model uncertainty with and without short-sale constraints

Shuzhen Yang, Wenqing Zhang

We study asset pricing and hedging under model uncertainty in discrete time and finite states. For the single-period model, we characterize no-arbitrage by the existence of strictl…

q-fin.RM2024

Uncertainty in the financial market and application to forecastabnormal financial fluctuations

Shige Peng, Shuzhen Yang, Wenqing Zhang

The integration and innovation of finance and technology have gradually transformed the financial system into a complex one. Analyses of the causesd of abnormal fluctuations in the…

math.PR2024

Sublinear expectation structure under countable state space

Shuzhen Yang, Wenqing Zhang

In this study, we propose the sublinear expectation structure under countable state space. To describe an interesting "nonlinear randomized" trial, based on a convex compact domain…

math.OC2023

Parameter learning: stochastic optimal control approach with reinforcement learning

Shuzhen Yang

In this study, we develop a stochastic optimal control approach with reinforcement learning structure to learn the unknown parameters appeared in the drift and diffusion terms of t…

math.OC2023

Stochastic maximum principle for recursive optimal control problems with varying terminal time

Jiaqi Wang, Shuzhen Yang

This paper introduces a new recursive stochastic optimal control problem driven by a forward-backward stochastic differential equations (FBSDEs), where the ter?minal time varies ac…

q-fin.MF2023

Fixed-point iterative algorithm for SVI model

Shuzhen Yang, Wenqing Zhang

The stochastic volatility inspired (SVI) model is widely used to fit the implied variance smile. Presently, most optimizer algorithms for the SVI model have a strong dependence on…

math.OC2022

Optimal Consumption for Recursive Preferences with Local Substitution -- the Case of Certainty

Hanwu Li, Frank Riedel, Shuzhen Yang

We characterize optimal consumption policies in a recursive intertemporal utility framework with local substitution. We establish existence and uniqueness and a version of the Kuhn…

math.OC2022

Extended Dynamic Programming Principle and Applications to Time-Inconsistent Control

Yuhong Xu, Shuzhen Yang

Since Peng (1993) established a local maximum principle for a general stochastic control problem governed by forward-backward stochastic differential equations (FBSDEs), the corres…

q-fin.MF2021

A compensatory model for quantile estimation and application to VaR

Xiaoyuan Tian, Shuzhen Yang

Unlike the standard two-step workflow of estimating a time series distribution and extracting quantiles from it, this paper proposes a compensatory model to refine quantile estimat…

math.ST2021

Linear regression under model uncertainty

Shuzhen Yang, Jianfeng Yao

We reexamine the classical linear regression model when the model is subject to two types of uncertainty: (i) some of covariates are either missing or completely inaccessible, and…

q-fin.MF2020

Discrete time multi-period mean-variance model: Bellman type strategy and Empirical analysis

Shuzhen Yang

In this paper, we attempt to introduce the Bellman principle for a discrete time multi-period mean-variance model. Based on this new take on the Bellman principle, we obtain a dyna…

q-fin.PM2020

Bellman type strategy for the continuous time mean-variance model

Shuzhen Yang

To investigate a time-consistent optimal strategy for the continuous time mean-variance model, we develop a new method to establish the Bellman principle. Based on this new method,…

q-fin.MF2019

Multi-time state mean-variance model in continuous time

Shuzhen Yang

In the continuous time mean-variance model, we want to minimize the variance (risk) of the investment portfolio with a given mean at terminal time. However, the investor can stop t…

math.OC2019

A varying terminal time mean-variance model

Shuzhen Yang

To improve the efficient frontier of the classical mean-variance model in continuous time, we propose a varying terminal time mean-variance model with a constraint on the mean valu…

math.OC2019★ 1 cited

A varying terminal time structure for stochastic optimal control under constrained condition

Shuzhen Yang

In this study, we propose a varying terminal time structure for the optimal control problem under state constraints, in which the terminal time follows the varying of the control v…

math.OC2018

Stochastic maximum principle for optimal control problem with a stopping time cost functional

Shuzhen Yang

In this study, we consider an optimal control problem driven by a stochastic differential system with a stopping time terminal cost functional. We establish the stochastic maximum…

q-fin.RM2018★ 57 cited

Improving Value-at-Risk prediction under model uncertainty

Shige Peng, Shuzhen Yang, Jianfeng Yao

Several well-established benchmark predictors exist for Value-at-Risk (VaR), a major instrument for financial risk management. Hybrid methods combining AR-GARCH filtering with skew…

math.OC2017

The connection between discrete and continuous state constraints optimal control systems: the deterministic case

Shuzhen Yang

An optimal control problem driven by an ordinary differential equation under continuous state constraints is considered in this study. From an operational point of view, we introdu…

math.OC2016

The Pontryagin's maximum principle for stochastic differential systems under state constraints

Shuzhen Yang

In this study, we consider an optimal control problem driven by a stochastic differential equation with state constraints. Here, the state constraints mean the constraints about th…

math.OC2016

The necessary and sufficient conditions for stochastic differential systems with multi-time states cost functional

Shuzhen Yang

From economics point of view, we investigate a new optimal control problem driven by a stochastic differential equation with a multi-time states cost functional. By constructing a…

math.DS2016

Multidimensional viscosity solutions theory of semi-linear partial differential equations

Shuzhen Yang

In this study, we concern the multidimensional viscosity solutions theory of a kind of semi-linear partial differential equations (PDEs). A new definition of viscosity solution for…

math.OC2016

On an Optimal Extraction Problem with Regime Switching

Giorgio Ferrari, Shuzhen Yang

This paper studies a finite-fuel two-dimensional degenerate singular stochastic control problem under regime switching that is motivated by the optimal irreversible extraction prob…

math.PR2013

Solutions for Functional Fully Coupled Forward-Backward Stochastic Differential Equations

Shaolin Ji, Shuzhen Yang

In this paper, we study a functional fully coupled forward-backward stochastic differential equations (FBSDEs). Under a new type of integral Lipschitz and monotonicity conditions,…