A discretization scheme for path-dependent FBSDEs and PDEs

Fuente: arXiv
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Auteurs principaux: Jang, Jiuk, Park, Hyungbin
Format: Preprint
Publié: 2023
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author Jang, Jiuk
Park, Hyungbin
author_facet Jang, Jiuk
Park, Hyungbin
contents This study develops a numerical scheme for path-dependent FBSDEs and PDEs. We introduce a Picard iteration method for solving path-dependent FBSDEs, prove its convergence to the true solution, and establish its rate of convergence. A key contribution of our approach is a novel estimator for the martingale integrand in the FBSDE, specifically designed to handle path-dependence more reliably than existing methods. We derive a concentration inequality that quantifies the statistical error of this estimator in a Monte Carlo framework. Based on these results, we investigate a supervised learning method with neural networks for solving path-dependent PDEs. The proposed algorithm is fully implementable and adaptable to a broad class of path-dependent problems.
format Preprint
id arxiv_https___arxiv_org_abs_2308_07029
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A discretization scheme for path-dependent FBSDEs and PDEs
Jang, Jiuk
Park, Hyungbin
Probability
Computational Finance
Mathematical Finance
This study develops a numerical scheme for path-dependent FBSDEs and PDEs. We introduce a Picard iteration method for solving path-dependent FBSDEs, prove its convergence to the true solution, and establish its rate of convergence. A key contribution of our approach is a novel estimator for the martingale integrand in the FBSDE, specifically designed to handle path-dependence more reliably than existing methods. We derive a concentration inequality that quantifies the statistical error of this estimator in a Monte Carlo framework. Based on these results, we investigate a supervised learning method with neural networks for solving path-dependent PDEs. The proposed algorithm is fully implementable and adaptable to a broad class of path-dependent problems.
title A discretization scheme for path-dependent FBSDEs and PDEs
topic Probability
Computational Finance
Mathematical Finance
url https://arxiv.org/abs/2308.07029