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A central limit theorem for the realised covariation of a bivariate Brownian semistationary process

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Title: A central limit theorem for the realised covariation of a bivariate Brownian semistationary process
Authors: Granelli, A
Veraart, A
Item Type: Journal Article
Abstract: This article presents a weak law of large numbers and a central limit theorem for the scaled realised covariation of a bivariate Brownian semistationary process. The novelty of our results lies in the fact that we derive the suitable asymptotic theory both in a multivariate setting and outside the classical semimartingale framework. The proofs rely heavily on recent developments in Malliavin calculus.
Issue Date: 12-Jun-2019
Date of Acceptance: 19-Jun-2018
URI: http://hdl.handle.net/10044/1/61602
DOI: 10.3150/18-BEJ1052
ISSN: 1350-7265
Publisher: Bernoulli Society for Mathematical Statistics and Probability
Start Page: 2245
End Page: 2278
Journal / Book Title: Bernoulli
Volume: 25
Issue: 3
Replaces: 10044/1/53174
http://hdl.handle.net/10044/1/53174
Copyright Statement: © 2019 Bernoulli Society for Mathematical Statistics and Probability
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: FP7-PEOPLE-2012-CIG-321707
Keywords: Science & Technology
Physical Sciences
Statistics & Probability
Mathematics
bivariate Brownian semistationary process
central limit theorem
fourth moment theorem
high frequency data
moving average process
multivariate setting
stable convergence
GAUSSIAN-PROCESSES
MULTIPOWER VARIATION
BIPOWER VARIATION
POWER VARIATION
FUNCTIONALS
VOLATILITY
0104 Statistics
1403 Econometrics
Statistics & Probability
Publication Status: Published
Online Publication Date: 2019-06-12
Appears in Collections:Statistics
Faculty of Natural Sciences
Mathematics