Limit theorems for multivariate Brownian semistationary processes and feasible results
File(s)March 2019 version paper.pdf (456.14 KB)
Accepted version
Author(s)
Passeggeri, Riccardo
Veraart, Almut
Type
Journal Article
Abstract
In this paper we introduce the multivariate Brownian semistationary (BSS) process and study the joint asymptotic behaviour of its realised covariation using in-fill asymptotics. First, we present a central limit theorem for general multivariate Gaussian processes with stationary increments, which are not necessarily semimartingales. Then, we show weak laws of large numbers, central limit theorems and feasible results for BSS processes. An explicit example based on the so-called gamma kernels is also provided.
Date Issued
2019-09
Date Acceptance
2019-04-03
Citation
Advances in Applied Probability, 2019, 51 (3), pp.667-716
ISSN
0001-8678
Publisher
Cambridge University Press
Start Page
667
End Page
716
Journal / Book Title
Advances in Applied Probability
Volume
51
Issue
3
Copyright Statement
© Applied Probability Trust 2019. This paper has been accepted for publication and will appear in a revised form, subsequent to peer-review and/or editorial input by Cambridge University Press.
Subjects
Science & Technology
Physical Sciences
Statistics & Probability
Mathematics
Multivariate Brownian semistationary process
central limit theorem
law of large numbers
feasible
nonsemimartingale
high frequency data
intermittency
gamma kernel
Wiener chaos
GAUSSIAN-PROCESSES
FUNCTIONALS
0102 Applied Mathematics
0104 Statistics
Statistics & Probability
Publication Status
Published
Date Publish Online
2019-09-03