Rough Path Renormalization from Stratonovich to Itô for Fractional Brownian Motion

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Qian, Zhongmin, Xu, Xingcheng
Format: Preprint
Published: 2018
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908634250739712
author Qian, Zhongmin
Xu, Xingcheng
author_facet Qian, Zhongmin
Xu, Xingcheng
contents This paper develops an Itô-type fractional pathwise integration theory for fractional Brownian motion with Hurst parameters \( H \in (\frac{1}{3}, \frac{1}{2}] \), using the Lyons' rough path framework. This approach is designed to fill gaps in conventional stochastic calculus models that fail to account for temporal persistence prevalent in dynamic systems such as those found in economics, finance, and engineering. The pathwise-defined method not only meets the zero expectation criterion but also addresses the challenges of integrating non-semimartingale processes, which traditional Itô calculus cannot handle. We apply this theory to fractional Black-Scholes models and high-dimensional fractional Ornstein-Uhlenbeck processes, illustrating the advantages of this approach. Additionally, the paper discusses the generalization of Itô integrals to rough differential equations (RDE) driven by fBM, emphasizing the necessity of integrand-specific adaptations in the Itô rough path lift for stochastic modeling.
format Preprint
id arxiv_https___arxiv_org_abs_1803_00335
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Rough Path Renormalization from Stratonovich to Itô for Fractional Brownian Motion
Qian, Zhongmin
Xu, Xingcheng
Probability
60H05, 60H10, 91B70, 91G80
This paper develops an Itô-type fractional pathwise integration theory for fractional Brownian motion with Hurst parameters \( H \in (\frac{1}{3}, \frac{1}{2}] \), using the Lyons' rough path framework. This approach is designed to fill gaps in conventional stochastic calculus models that fail to account for temporal persistence prevalent in dynamic systems such as those found in economics, finance, and engineering. The pathwise-defined method not only meets the zero expectation criterion but also addresses the challenges of integrating non-semimartingale processes, which traditional Itô calculus cannot handle. We apply this theory to fractional Black-Scholes models and high-dimensional fractional Ornstein-Uhlenbeck processes, illustrating the advantages of this approach. Additionally, the paper discusses the generalization of Itô integrals to rough differential equations (RDE) driven by fBM, emphasizing the necessity of integrand-specific adaptations in the Itô rough path lift for stochastic modeling.
title Rough Path Renormalization from Stratonovich to Itô for Fractional Brownian Motion
topic Probability
60H05, 60H10, 91B70, 91G80
url https://arxiv.org/abs/1803.00335