Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process

X Wang, W Xiao, J Yu - Journal of Econometrics, 2023 - Elsevier
This paper proposes to model and forecast realized volatility (RV) using the fractional
Ornstein–Uhlenbeck (fO–U) process with a general Hurst parameter, H. A two-stage method …

Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data

Y Koike - 2019 - projecteuclid.org
Supplement to “Gaussian approximation of maxima of Wiener functionals and its application
to high-frequency data”. This supplement file contains the technical materials of the paper …

Semiparametric estimation and inference on the fractal index of Gaussian and conditionally Gaussian time series data

M Bennedsen - Econometric Reviews, 2020 - Taylor & Francis
This paper studies the properties of a particular estimator of the fractal index of a time series
with a view to applications in financial econometrics and mathematical finance. We show …

Estimation and Inference of fractional continuous-time model with discrete-sampled data

X Wang, W Xiao, YU Jun - 2019 - ink.library.smu.edu.sg
This paper proposes a two-stage method for estimating parameters in a parametric fractional
continuous-time model based on discrete-sampled observations. In the first stage, the Hurst …

The estimation of the fractal dimension of a Gaussian field via Euler characteristic

A Reza Taheriyoun, K Shafie - Canadian Journal of Statistics, 2022 - Wiley Online Library
Fractal dimension is a useful characteristic for measuring the irregularity of random fields. In
this work, we employ the Euler characteristic (EC) of the excursion sets of a field to estimate …