LAN Property for the Drift and Hurst Paramters in The Mixed Fractional O-U Process with Continuous Observations
Chunhao Cai, Cong Zhang

TL;DR
This paper establishes the local asymptotic normality for joint estimation of drift and Hurst parameters in a mixed fractional Ornstein-Uhlenbeck process with continuous observations, specifically for Hurst parameter H>3/4.
Contribution
It introduces a novel approach for joint parameter estimation in the mixed fractional OU process when H>3/4, leveraging the semimartingale property of the fractional Brownian motion.
Findings
Proves local asymptotic normality for joint parameters
Develops filtering techniques for H>3/4
Provides estimation methods for drift and Hurst parameters
Abstract
This paper deals with the Local Asymptotical normality for the joint drift parameter and Hurst parameter in the mixed fractional Ornstein-Uhlenbeck process. Different from the only estimation of the drift parameter when is known, we will use the fact that the mixed fractional Brownian motion is a semimartingale with its own filtering when .
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Probability and Risk Models
