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Stochastic derivatives for fractional diffusions (2006)

Abstract
In this paper, we introduce some fundamental notions related to the so-called stochastic derivatives with respect to a given sigma-field Q. In our framework, we recall well known results about Markov Wiener diffusions. We afterwards mainly focus on the case where X is a fractional diffusion and where Q is the past, the future or the present of X. We treat some crucial examples and our main result is the existence of stochastic derivatives with respect to the present of X when X solves a stochastic differential equation driven by a fractional Brownian motion with Hurst index H>1/2. We give explicit formulas.

Publication details
Download http://hal.ccsd.cnrs.fr/ccsd-00022829/en/
Source http://hal.ccsd.cnrs.fr/docs/00/08/08/89/PDF/dn06-v2.pdf
Publisher HAL - CCSd - CNRS
Contributors Ivan Nourdin
Repository CCSd/HAL : e-articles server (based on gBUS) (France)
Keywords Mathematics/Probability
Language Englisch
Coverage stochastic derivatives; Nelson's derivative; fractional Brownian motion; fractional differential equation; Malliavin calculus