Maxima of stochastic processes driven by fractional Brownian motion

Boris Buchmann*, Claudia Klüppelberg

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    6 Citations (Scopus)

    Abstract

    We study stationary processes given as solutions to stochastic differential equations driven by fractional Brownian motion. This rich class includes the fractional Ornstein-Uhlenbeck process and those processes that can be obtained from it by state space transformations. An explicit formula in terms of Euler's Γ-function describes the asymptotic behaviour of the covariance function of the fractional Ornstein-Uhlenbeck process near zero, which, by an application of Berman's condition, guarantees that this process is in the maximum domain of attraction of the Gumbel distribution. Necessary and sufficient conditions on the state space transforms are stated to classify the maximum domain of attraction of solutions to stochastic differential equations driven by fractional Brownian motion.

    Original languageEnglish
    Pages (from-to)743-764
    Number of pages22
    JournalAdvances in Applied Probability
    Volume37
    Issue number3
    DOIs
    Publication statusPublished - Sept 2005

    Fingerprint

    Dive into the research topics of 'Maxima of stochastic processes driven by fractional Brownian motion'. Together they form a unique fingerprint.

    Cite this