JOURNAL ARTICLE

Fractional Ornstein-Uhlenbeck processes

Patrick CheriditoHideyuki KawaguchiMakoto Maejima

Year: 2003 Journal:   Electronic Journal of Probability Vol: 8 (none)   Publisher: Institute of Mathematical Statistics

Abstract

The classical stationary Ornstein-Uhlenbeck process can be obtained in two different ways. On the one hand, it is a stationary solution of the Langevin equation with Brownian motion noise. On the other hand, it can be obtained from Brownian motion by the so called Lamperti transformation. We show that the Langevin equation with fractional Brownian motion noise also has a stationary solution and that the decay of its auto-covariance function is like that of a power function. Contrary to that, the stationary process obtained from fractional Brownian motion by the Lamperti transformation has an auto-covariance function that decays exponentially.

Keywords:
Ornstein–Uhlenbeck process Fractional Brownian motion Mathematics Langevin equation Brownian motion Reflected Brownian motion Transformation (genetics) Covariance Diffusion process Mathematical analysis Stationary process Noise (video) Covariance function Statistical physics Stochastic process Geometric Brownian motion Applied mathematics Physics Statistics

Metrics

405
Cited By
11.35
FWCI (Field Weighted Citation Impact)
8
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Complex Systems and Time Series Analysis
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics
Financial Risk and Volatility Modeling
Social Sciences →  Economics, Econometrics and Finance →  Finance
Statistical Mechanics and Entropy
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics

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