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Volatility Estimation of General Gaussian Ornstein-Uhlenbeck Process (1909.06715v1)
Published 15 Sep 2019 in math.PR
Abstract: In this article we study the asymptotic behaviour of the realized quadratic variation of a process $\int_{0}{t}u_{s}dG{H}_{s}$, where $u$ is a $\beta$-H\"older continuous process with $\beta >1-H$ and $GH$ is a self-similar Gaussian process with parameters $H\in(0,3/4)$. We prove almost sure convergence uniformly in time, and a stable weak convergence for the realized quadratic variation. As an application, we construct strongly consistent estimator for the integrated volatility parameter in a model driven by $GH$.