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A central limit theorem for the realised covariation of a bivariate Brownian semistationary process
File | Description | Size | Format | |
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CLT_revised_styled.pdf | Accepted version | 448.93 kB | Adobe PDF | View/Open |
CentralLimitTheorem_supplementary_revised_styled.pdf | Supporting information | 345.1 kB | Adobe PDF | View/Open |
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 |