Stochastic derivatives for fractional diffusions
Open Access
- 1 September 2007
- journal article
- Published by Institute of Mathematical Statistics in The Annals of Probability
- Vol. 35 (5)
- https://doi.org/10.1214/009117906000001169
Abstract
In this paper, we introduce some fundamental notions related to the so-called stochastic derivatives with respect to a given $\sigma$-field $\mathcal{Q}$. In our framework, we recall well-known results about Markov--Wiener diffusions. We then focus mainly on the case where $X$ is a fractional diffusion and where $\mathcal{Q}$ 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.Comment: Published in at http://dx.doi.org/10.1214/009117906000001169 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org
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This publication has 17 references indexed in Scilit:
- On the absolute continuity of one-dimensional SDEs driven by a fractional Brownian motionStatistics & Probability Letters, 2006
- Plongement stochastique des systèmes lagrangiensComptes Rendus Mathematique, 2006
- The -variation of the divergence integral with respect to the fractional Brownian motion for and fractional Bessel processesStochastic Processes and their Applications, 2004
- Equivalence of Volterra processesStochastic Processes and their Applications, 2003
- Regularization of differential equations by fractional noiseStochastic Processes and their Applications, 2002
- Are Classes of Deterministic Integrands for Fractional Brownian Motion on an Interval Complete?Bernoulli, 2001
- Integration with respect to fractal functions and stochastic calculus. IProbability Theory and Related Fields, 1998
- Second order stochastic differential equations and non-Gaussian reciprocal diffusionsProbability Theory and Related Fields, 1993
- Integration by Parts and Time Reversal for Diffusion ProcessesThe Annals of Probability, 1989
- An interpretation of stochastic differential equations as ordinary differential equations which depend on the sample pointBulletin of the American Mathematical Society, 1977