JOURNAL ARTICLE

Parameter Estimation for Fractional Ornstein-Uhlenbeck Processes: Non-Ergodic Case

Abstract

We consider the parameter estimation problem for the non-ergodic fractional Ornstein- Uhlenbeck process defined as dXt = θXtdt + dBt, t≥ 0, with a parameter θ > 0, where B is a fractional Brownian motion of Hurst index H ∈ ( 1/2 , 1). We study the consistency and the asymptotic distributions of the least squares estimator ?? of θ based on the observation {Xs, s ∈ [0, t]} as t → ∞.

Keywords:
Fractional Brownian motion Estimation theory Estimator Hurst exponent Strong consistency Consistency (knowledge bases) Identifiability Least-squares function approximation Asymptotic distribution

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Financial Risk and Volatility Modeling
Social Sciences →  Economics, Econometrics and Finance →  Finance
Stochastic processes and financial applications
Social Sciences →  Economics, Econometrics and Finance →  Finance
Probability and Risk Models
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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