Covariance of stochastic integrals with respect to fractional Brownian motion
Yoha\"i Maayan, Eddy Mayer-Wolf

TL;DR
This paper derives an explicit formula for the cross-covariance of stochastic integrals with respect to fractional Brownian motion, revealing properties of these integrals and providing alternative proofs for known results.
Contribution
It presents a new explicit expression for the cross-covariance of stochastic integrals with respect to fractional Brownian motion, offering insights into their structure and properties.
Findings
Derived explicit cross-covariance formula for stochastic integrals
Provided an alternative proof regarding fractional Bessel process
Showed the integral component is not a fractional Brownian motion
Abstract
We find an explicit expression for the cross-covariance between stochastic integral processes with respect to a -dimensional fractional Brownian motion (fBm) with Hurst parameter , where the integrands are vector fields applied to . It provides, for example, a direct alternative proof of Y. Hu and D. Nualart's result that the stochastic integral component in the fractional Bessel process decomposition is not itself a fractional Brownian motion.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
