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As is known, an option price is a solution to a certain partial differential equation (PDE) with terminal conditions (payoff functions). There is a close association between the solution of PDE and the solution of a backward stochastic…

Mathematical Finance · Quantitative Finance 2019-04-15 Bing Yu , Xiaojing Xing , Agus Sudjianto

In this paper, we introduce a new type of backward stochastic differential equations (BSDEs) with infinite anticipation, where the generator depends on the entire future values of the solution in infinite horizon. We show that the new BSDEs…

Probability · Mathematics 2025-11-20 Guanwei Cheng , Shuzhen Yang

In this paper, a probabilistic interpretation for the viscosity solution of a parabolic partial differential equation is obtained by virtue of the solution of a class of quadratic backward stochastic differential equations (BSDEs, for…

Probability · Mathematics 2022-09-21 Yufeng Shi , Jiaqiang Wen , Zhi Yang

In this paper, we investigate a class of nonlinear backward stochastic differential equations (BSDEs) arising from financial economics, and give specific information about the nodal sets of the related solutions. As applications, we are…

Probability · Mathematics 2022-11-01 Zengjing Chen , Shuhui Liu , Zhongmin Qian , Xingcheng Xu

We specify the conditions when a manifold M embedded in an inner product space E is an invariant manifold of a stochastic differential equation (SDE) on E, linking it with the notion of second-order differential operators on M. When M is…

Probability · Mathematics 2024-06-06 Du Nguyen , Stefan Sommer

We solve the Skorokhod embedding problem for a class of Gaussian processes including Brownian motion with non-linear drift. Our approach relies on solving an associated strongly coupled system of Forward Backward Stochastic Differential…

Probability · Mathematics 2015-12-17 Alexander Fromm , Peter Imkeller , David J. Prömel

The paper studies the First Order BSPDEs (Backward Stochastic Partial Differential Equations) suggested earlier for a case of multidimensional state domain with a boundary. These equations represent analogs of Hamilton-Jacobi-Bellman…

Mathematical Finance · Quantitative Finance 2018-10-31 Nikolai Dokuchaev

This paper studies the mean-field backward stochastic Volterra integral equations (mean-field BSVIEs) and associated particle systems. We establish the existence and uniqueness of solutions to mean-field BSVIEs when the generator $g$ is of…

Probability · Mathematics 2025-11-11 Tao Hao , Ying Hu , Jiaqiang Wen

In this paper we derive a Bismut-Elworthy-Li type formula with respect to strong solutions to singular stochastic differential equations (SDE's) with additive noise given by a multi-dimensional fractional Brownian motion with Hurst…

Probability · Mathematics 2018-05-30 Oussama Amine , Emmanuel Coffie , Fabian Harang , Frank Proske

In this paper, we study the doubly reflected backward stochastic differential equations driven by $G$-Brownian motion ($G$-BSDEs for short) when the generator has quadratic growth in the $z$-component. Based on the theory of $G$-BMO…

Probability · Mathematics 2026-04-28 Hanwu Li , Peng Luo , Mengbo Zhu

We investigate a class of quadratic backward stochastic differential equations (BSDEs) with generators singular in $ y $. First, we establish the existence of solutions and a comparison theorem, thereby extending results in the literature.…

Probability · Mathematics 2025-03-17 Wenbo Wang , Guangyan Jia

In this paper, we study backward stochastic differential equations driven by G-Brownian motion where the generator has time-varying monotonicity with respect to y and Lipsitz property with respect to z. Through the Yosida approximation, we…

Probability · Mathematics 2026-03-10 Renxing Li , Xue Zhang

This article introduces and solves a general class of fully coupled forward-backward stochastic dynamics by investigating the associated system of functional differential equations. As a consequence, we are able to solve many different…

Probability · Mathematics 2026-05-01 Matteo Casserini , Gechun Liang

This paper is devoted to a stochastic differential game of functional forward-backward stochastic differential equation (FBSDE, for short). The associated upper and lower value functions of the stochastic differential game are defined by…

Optimization and Control · Mathematics 2013-01-03 Shaolin Ji , Qingmeng Wei

In this note we prove an existence and uniqueness result for the solution of multidimensional stochastic delay differential equations with normal reflection. The equations are driven by a fractional Brownian motion with Hurst parameter…

Probability · Mathematics 2012-03-05 Mireia Besalú , Carles Rovira

The stochastic differential equation of McKean-Vlasov type is identified such that the Fokker-Planck equation associated to it is the Boltzmann equation. Hence, we call its solutions as Boltzmann processes. They describe the dynamics (in…

Probability · Mathematics 2024-05-15 B. Rüdiger , P. Sundar

This note aims to give an explicit solution for backward stochastic Volterra integral equations with linear time delayed generators. The process $Y$ is expressed by an integral whose kernel is explicitly given. The processes $Z$ is…

Probability · Mathematics 2021-10-05 Yong Ren , Harouna Coulibaly , Auguste Aman

We consider a class of backward stochastic differential equations (BSDEs) with singular terminal condition and develop a numerical scheme to approximate their solution. To this end, we extend an asymptotic development of the BSDE solution…

Optimization and Control · Mathematics 2026-03-03 Thomas Kruse , Julia Ackermann , Alexandre Popier

In this paper, we study the existence and uniqueness of a class of stochastic differential equations driven by fractional Brownian motions with arbitrary Hurst parameter $H\in (0,1)$. In particular, the stochastic integrals appearing in the…

Statistics Theory · Mathematics 2009-09-07 Yu-Juan Jien , Jin Ma

In this paper, we study the numerical method for solving forward-backward stochastic differential equations driven by $G$-Brownian motion ($G$-FBSDEs) which correspond to fully nonlinear partial differential equations (PDEs). First, we give…

Numerical Analysis · Mathematics 2022-05-19 Mingshang Hu , Lianzi Jiang