Econometric analysis of realised covariation: high frequency based covariance, regression and correlation in financial economics

This paper analyses multivariate high frequency financial data using realized covariation. We provide a new asymptotic distribution theory for standard methods such as regression, correlation analysis, and covariance. It will be based on a fixed interval of time (e.g., a day or week), allowing the n...

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Bibliographic Details
Main Authors: Barndorff-Nielsen, O, Shephard, N
Other Authors: Econometric Society
Format: Journal article
Language:English
Published: Blackwell Publishing 2004
Subjects:
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author Barndorff-Nielsen, O
Shephard, N
author2 Econometric Society
author_facet Econometric Society
Barndorff-Nielsen, O
Shephard, N
author_sort Barndorff-Nielsen, O
collection OXFORD
description This paper analyses multivariate high frequency financial data using realized covariation. We provide a new asymptotic distribution theory for standard methods such as regression, correlation analysis, and covariance. It will be based on a fixed interval of time (e.g., a day or week), allowing the number of high frequency returns during this period to go to infinity. Our analysis allows us to study how high frequency correlations, regressions, and covariances change through time. In particular we provide confidence intervals for each of these quantities.
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spelling oxford-uuid:d3d7d8de-655f-4a61-a825-d777f9cb80e32022-03-27T08:14:03ZEconometric analysis of realised covariation: high frequency based covariance, regression and correlation in financial economicsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d3d7d8de-655f-4a61-a825-d777f9cb80e3EconometricsEconomicsEnglishOxford University Research Archive - ValetBlackwell Publishing2004Barndorff-Nielsen, OShephard, NEconometric SocietyThis paper analyses multivariate high frequency financial data using realized covariation. We provide a new asymptotic distribution theory for standard methods such as regression, correlation analysis, and covariance. It will be based on a fixed interval of time (e.g., a day or week), allowing the number of high frequency returns during this period to go to infinity. Our analysis allows us to study how high frequency correlations, regressions, and covariances change through time. In particular we provide confidence intervals for each of these quantities.
spellingShingle Econometrics
Economics
Barndorff-Nielsen, O
Shephard, N
Econometric analysis of realised covariation: high frequency based covariance, regression and correlation in financial economics
title Econometric analysis of realised covariation: high frequency based covariance, regression and correlation in financial economics
title_full Econometric analysis of realised covariation: high frequency based covariance, regression and correlation in financial economics
title_fullStr Econometric analysis of realised covariation: high frequency based covariance, regression and correlation in financial economics
title_full_unstemmed Econometric analysis of realised covariation: high frequency based covariance, regression and correlation in financial economics
title_short Econometric analysis of realised covariation: high frequency based covariance, regression and correlation in financial economics
title_sort econometric analysis of realised covariation high frequency based covariance regression and correlation in financial economics
topic Econometrics
Economics
work_keys_str_mv AT barndorffnielseno econometricanalysisofrealisedcovariationhighfrequencybasedcovarianceregressionandcorrelationinfinancialeconomics
AT shephardn econometricanalysisofrealisedcovariationhighfrequencybasedcovarianceregressionandcorrelationinfinancialeconomics