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February 2008 Time discretization and Markovian iteration for coupled FBSDEs
Christian Bender, Jianfeng Zhang
Ann. Appl. Probab. 18(1): 143-177 (February 2008). DOI: 10.1214/07-AAP448

Abstract

In this paper we lay the foundation for a numerical algorithm to simulate high-dimensional coupled FBSDEs under weak coupling or monotonicity conditions. In particular, we prove convergence of a time discretization and a Markovian iteration. The iteration differs from standard Picard iterations for FBSDEs in that the dimension of the underlying Markovian process does not increase with the number of iterations. This feature seems to be indispensable for an efficient iterative scheme from a numerical point of view. We finally suggest a fully explicit numerical algorithm and present some numerical examples with up to 10-dimensional state space.

Citation

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Christian Bender. Jianfeng Zhang. "Time discretization and Markovian iteration for coupled FBSDEs." Ann. Appl. Probab. 18 (1) 143 - 177, February 2008. https://doi.org/10.1214/07-AAP448

Information

Published: February 2008
First available in Project Euclid: 9 January 2008

zbMATH: 1142.65005
MathSciNet: MR2380895
Digital Object Identifier: 10.1214/07-AAP448

Subjects:
Primary: 60H10 , 65C30
Secondary: 60H30 , 65C05

Keywords: Forward–backward SDE , Monte Carlo simulation , numerics , time discretization

Rights: Copyright © 2008 Institute of Mathematical Statistics

Vol.18 • No. 1 • February 2008
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