Deep Signature Algorithm for Multi-dimensional Path-Dependent Options

Fuente: arXiv
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Main Authors: Bayraktar, Erhan, Feng, Qi, Zhang, Zhaoyu
Format: Preprint
Published: 2022
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author Bayraktar, Erhan
Feng, Qi
Zhang, Zhaoyu
author_facet Bayraktar, Erhan
Feng, Qi
Zhang, Zhaoyu
contents In this work, we study the deep signature algorithms for path-dependent options. We extend the backward scheme in [Huré-Pham-Warin. Mathematics of Computation 89, no. 324 (2020)] for state-dependent FBSDEs with reflections to path-dependent FBSDEs with reflections, by adding the signature layer to the backward scheme. Our algorithm applies to both European and American type option pricing problems while the payoff function depends on the whole paths of the underlying forward stock process. We prove the convergence analysis of our numerical algorithm with explicit dependence on the truncation order of the signature and the neural network approximation errors. Numerical examples for the algorithm are provided including: Amerasian option under the Black-Scholes model, American option with a path-dependent geometric mean payoff function, and the Shiryaev's optimal stopping problem.
format Preprint
id arxiv_https___arxiv_org_abs_2211_11691
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Deep Signature Algorithm for Multi-dimensional Path-Dependent Options
Bayraktar, Erhan
Feng, Qi
Zhang, Zhaoyu
Computational Finance
Machine Learning
Mathematical Finance
65C30, 60H35, 65M75
In this work, we study the deep signature algorithms for path-dependent options. We extend the backward scheme in [Huré-Pham-Warin. Mathematics of Computation 89, no. 324 (2020)] for state-dependent FBSDEs with reflections to path-dependent FBSDEs with reflections, by adding the signature layer to the backward scheme. Our algorithm applies to both European and American type option pricing problems while the payoff function depends on the whole paths of the underlying forward stock process. We prove the convergence analysis of our numerical algorithm with explicit dependence on the truncation order of the signature and the neural network approximation errors. Numerical examples for the algorithm are provided including: Amerasian option under the Black-Scholes model, American option with a path-dependent geometric mean payoff function, and the Shiryaev's optimal stopping problem.
title Deep Signature Algorithm for Multi-dimensional Path-Dependent Options
topic Computational Finance
Machine Learning
Mathematical Finance
65C30, 60H35, 65M75
url https://arxiv.org/abs/2211.11691