Local asymptotic normality for mixed fractional Ornstein-Uhlenbeck process under high-frequency observation
Chunhao Cai, Yiwu Shang, and Cong Zhang

TL;DR
This paper establishes the local asymptotic normality (LAN) property for a mixed fractional Ornstein-Uhlenbeck process observed at high frequency when the Hurst parameter exceeds 3/4, extending existing results in fractional stochastic processes.
Contribution
It introduces the LAN property for the mixed fractional Ornstein-Uhlenbeck process under high-frequency observations for H>3/4, utilizing a projection step to handle the non-diagonal rate matrix.
Findings
Proves LAN property for H>3/4 in mixed fractional OU process.
Uses projection step to derive non-diagonal rate matrix.
Extends fractional Brownian motion analysis to mixed processes.
Abstract
This paper consider the LAN property for the mixed O-U process under high-frequency observation when H>3/4. As considered in mixed fractional Brownian motion, we will also use the projection step to get the non-diagonal rate matrix.
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Stochastic processes and financial applications · Probability and Risk Models
