An Improved Berry-Esseen Bound of Least Squares Estimation for Fractional Ornstein-Uhlenbeck Processes
Yong Chen, Xiangmeng Gu

TL;DR
This paper develops a new formula for inner products in the Hilbert space associated with fractional Brownian motion and uses it to improve Berry-Esseen bounds for least squares estimation in fractional Ornstein-Uhlenbeck processes, especially for Hurst parameter H in (1/4, 1/2).
Contribution
It introduces a novel formula for the inner product in the Hilbert space of fractional Brownian motion and applies it to refine Berry-Esseen bounds for parameter estimation in fractional Ornstein-Uhlenbeck processes.
Findings
Derived a new formula for the inner product in the Hilbert space fractional Brownian motion.
Improved the Berry-Esseen upper bound for least squares estimation of the drift coefficient.
Provided a Berry-Esseen bound for moment estimation of the drift coefficient.
Abstract
The aim of this paper is twofold. First, it offers a novel formula to calculate the inner product of the bounded variation function in the Hilbert space associated with the fractional Brownian motion with Hurst parameter . This formula is based on a kind of decomposition of the Lebesgue-Stieljes measure of the bounded variation function and the integration by parts formula of the Lebesgue-Stieljes measure. Second, as an application of the formula, we explore that as , the asymptotic line for the square of the norm of the bivariate function in the symmetric tensor space (as a function of ), and improve the Berry-Ess\'{e}en type upper bound for the least squares estimation of the drift coefficient of the fractional Ornstein-Uhlenbeck processes with Hurst parameter…
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Statistical Methods and Inference
