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20132020
most citedTime-Varying Gaussian-Cauchy Mixture Models for Financial Risk Management

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2020★ 4 cited

Time-Varying Gaussian-Cauchy Mixture Models for Financial Risk Management

Shuguang Zhang, Minjing Tao, Xu-Feng Niu +1

There are various metrics for financial risk, such as value at risk (VaR), expected shortfall, expected/unexpected loss, etc. When estimating these metrics, it was very common to a…

math.PR2015

Large deviations for stochastic differential delay equations with Lévy noises

Yumeng Li, Ran Wang, Nian Yao +1

In this paper, we establish a large deviation principle for stochastic differential delay equations driven by both Brownian motions and Poisson random measures. The weak convergenc…

math.PR2015

Moderate deviations for a fractional stochastic heat equation with spatially correlated noise

Yumeng Li, Ran Wang, Nian Yao +1

In this paper, we study the Moderate Deviation Principle for a perturbed stochastic heat equation in the whole space $\rr^d, d\ge1$. This equation is driven by a Gaussian noise, wh…

math.OC2014

Linear Quadratic Stochastic Two-Person Zero-Sum Differential Games in an Infinite Horizon

Jingrui Sun, Jiongmin Yong, Shuguang Zhang

This paper is concerned with a linear quadratic stochastic two-person zero-sum differential game with constant coefficients in an infinite time horizon. Open-loop and closed-loop s…

math.PR2013★ 1 cited

Stochastic Optimization Theory of Backward Stochastic Differential Equations Driven by G-Brownian Motion

Zhonghao Zheng, Xiuchun Bi, Shuguang Zhang

In this paper, we consider the stochastic optimal control problems under G-expectation. Based on the theory of backward stochastic differential equations driven by G-Brownian motio…