Berry-Esseen bound for the Parameter Estimation of Fractional Ornstein-Uhlenbeck Processes
Yong Chen, Nenghui Kuang, Ying Li

TL;DR
This paper establishes a Berry-Esseen bound for the least squares estimator of the drift parameter in fractional Ornstein-Uhlenbeck processes driven by fractional Brownian motion with Hurst index between 0.5 and 0.75, using Malliavin calculus.
Contribution
It provides the first Berry-Esseen bound for the parameter estimator in fractional Ornstein-Uhlenbeck processes within this Hurst index range.
Findings
Derived explicit Berry-Esseen bounds for the estimator.
Extended the application of Malliavin calculus to fractional processes.
Improved understanding of the estimator's convergence rate.
Abstract
For an Ornstein-Uhlenbeck process driven by fractional Brownian motion with Hurst index , we show the Berry-Ess\'een bound of the least squares estimator of the drift parameter. We use an approach based on Malliavin calculus given by Kim and Park \cite{kim 3}.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Stochastic processes and statistical mechanics
