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Econometrica Vol. 72 No. 3 2004

Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics

Ole E. Barndorff-Nielsen; Neil Shephard1

1 University of Oxford

Abstract

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.

DOI
10.1111/j.1468-0262.2004.00515.x
Volume
72
Issue
3
Pages
885-925
Language
en
Sources
openalex bibtex:phds-export.bib crossref

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