JOURNAL ARTICLE

Statistical Analysis of the Mixed Fractional Ornstein--Uhlenbeck Process

P. ChiganskyMarina Kleptsyna

Year: 2019 Journal:   Theory of Probability and Its Applications Vol: 63 (3)Pages: 408-425   Publisher: Society for Industrial and Applied Mathematics

Abstract

This paper addresses the problem of estimating the drift parameter of the Ornstein--Uhlenbeck-type process driven by the sum of independent standard and fractional Brownian motions. With the help of some recent results on the canonical representation and spectral structure of mixed processes, the maximum likelihood estimator is shown to be consistent and asymptotically normal in the large-sample limit.

Keywords:
Ornstein–Uhlenbeck process Mathematics Estimator Limit (mathematics) Fractional Brownian motion Applied mathematics Statistical physics Brownian motion Representation (politics) Type (biology) Statistics Mathematical analysis Stochastic process

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Citation History

Topics

Stochastic processes and financial applications
Social Sciences →  Economics, Econometrics and Finance →  Finance
Financial Risk and Volatility Modeling
Social Sciences →  Economics, Econometrics and Finance →  Finance
Complex Systems and Time Series Analysis
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics

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