Asymptotic expansions for functions of the increments of certain Gaussian processes
Michael Marcus, Jay Rosen

TL;DR
This paper derives asymptotic expansions for functions of increments of Gaussian processes with stationary increments, revealing their structure in terms of Hermite polynomials and Gaussian chaos under specific regularity conditions.
Contribution
It provides a novel asymptotic expansion for integrals of functions of Gaussian process increments, involving Hermite polynomials and Wick powers, under new regularity conditions.
Findings
Asymptotic expansion in $L^2$ for functions of Gaussian increments
Representation involving Hermite polynomials and Gaussian chaos
Conditions on $\sigma^2$ for the expansion to hold
Abstract
Let be a mean zero Gaussian process with stationary increments and set . Let be a function with , where . When is regularly varying at zero and \[ \lim_{h\to 0}{h^2\over \sigma^2(h)}= 0\qquad {and}\qquad \lim_{h\to 0}{\sigma^2(h)\over h}= 0 \quad {but} \quad ({d^{2}\over ds^2}\sigma^2(s))^{j_0} \] is locally integrable for some integer , and satisfies some additional regularity conditions, \bea && \int_a^bf(\frac{G(x+h)-G(x)}{\sigma (h)}) dx \label{abst}\nn &&\qquad = \sum_{j=0}^{j_0} (h/\sigma(h))^{j} {E(H_{j}(\eta) f(\eta))\over\sqrt {j!}} :(G')^{j}:(I_{[a,b]}) +o({h\over\sigma (h)})^{j_0}\nn \eea in . Here is the -th Hermite polynomial. Also is a -th order Wick power Gaussian chaos constructed from the Gaussian field ,…
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.
Taxonomy
TopicsStochastic processes and financial applications · Analysis of environmental and stochastic processes · Financial Risk and Volatility Modeling
