Results 21 to 30 of about 3,515 (265)

On the robustness of backward stochastic differential equations

open access: yesStochastic Processes and their Applications, 2002
The backward stochastic differential equation driven by a Brownian motion \(W=\{W_t\} _{0\leq t\leq T}\), \[ Y_t= \xi + \int _t^T f(r,Y_r, Z_r)\,dr -\int _t^T Z_r\,dW_r,\quad 0\leq t\leq T, \] is considered, where the solution \((Y_t, Z_t)\) is supposed to be progressively measurable with respect to the filtration \(\{\mathcal F_t \}\) defined by the ...
Briand, Philippe   +2 more
openaire   +3 more sources

Weak Convergence Analysis and Improved Error Estimates for Decoupled Forward-Backward Stochastic Differential Equations

open access: yesMathematics, 2021
In this paper, we mainly investigate the weak convergence analysis about the error terms which are determined by the discretization for solving the stochastic differential equation (SDE, for short) in forward-backward stochastic differential equations ...
Wei Zhang, Hui Min
doaj   +1 more source

Backward Stochastic Differential Equations [PDF]

open access: yes, 2015
In this chapter, we consider a different type of stochastic differential equation. In the setting of Chapter 17, we specified a solution process X through its dynamics and its initial value, as in ( 17.6). In this chapter, we specify a solution process Y through its dynamics and its terminal value, at a fixed, deterministic time \(T \in ]0,\infty ...
Samuel N. Cohen, Robert J. Elliott
openaire   +1 more source

A linear numerical scheme for nonlinear BSDEs with uniformly continuous coefficients

open access: yesJournal of Applied Mathematics, 2004
We attempt to present a new numerical approach to solve nonlinear backward stochastic differential equations. First, we present some definitions and theorems to obtain the condition, from which we can approximate the nonlinear term of the backward ...
Omid. S. Fard, Ali V. Kamyad
doaj   +1 more source

Existence Solution for Fractional Mean-Field Backward Stochastic Differential Equation with Stochastic Linear Growth Coefficients

open access: yesMendel, 2023
We deal with fractional mean field backwardWe deal with fractional mean field backward stochastic differential equations with hurst parameter $H\in (\frac{1}{2},1)$ when the coefficient $f$ satisfy a stochastic Lipschitz conditions, we prove the ...
Mostapha Abdelouahab Saouli
doaj   +1 more source

A stochastic Gronwall inequality in random time horizon and its application to BSDE

open access: yesJournal of Inequalities and Applications, 2020
In this paper, we introduce and prove a stochastic Gronwall inequality in an (unbounded) random time horizon. As an application, we prove a comparison theorem for backward stochastic differential equation (BSDE for short) with random terminal time under ...
Hun O, Mun-Chol Kim, Chol-Kyu Pak
doaj   +1 more source

Backward stochastic differential equations with unbounded generators [PDF]

open access: yesStochastics and Dynamics, 2019
In this paper, we consider two classes of backward stochastic differential equations (BSDEs). First, under a Lipschitz-type condition on the generator of the equation, which can also be unbounded, we give sufficient conditions for the existence of a unique solution pair. The method of proof is that of Picard iterations and the resulting conditions are
Gashi, B, Li, J
openaire   +2 more sources

Set-valued backward stochastic differential equations

open access: yesThe Annals of Applied Probability, 2023
In this paper, we establish an analytic framework for studying set-valued backward stochastic differential equations (set-valued BSDE), motivated largely by the current studies of dynamic set-valued risk measures for multi-asset or network-based financial models. Our framework will make use of the notion of Hukuhara difference between sets, in order to
Ararat, Cagin, Ma, Jin, Wu, Wenqian
openaire   +4 more sources

Backward-Forward Stochastic Differential Equations

open access: yesThe Annals of Applied Probability, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

A Maximum Principle for Controlled Time-Symmetric Forward-Backward Doubly Stochastic Differential Equation with Initial-Terminal Sate Constraints

open access: yesAbstract and Applied Analysis, 2012
We study the optimal control problem of a controlled time-symmetric forward-backward doubly stochastic differential equation with initial-terminal state constraints. Applying the terminal perturbation method and Ekeland’s variation principle, a necessary
Shaolin Ji, Qingmeng Wei, Xiumin Zhang
doaj   +1 more source

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