An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models.

This paper introduces a new estimator to measure the ex-post covariation between high-frequency financial time series under market microstructure noise. We provide anasymptotic limit theory (including feasible central limit theorems) for standard methods such as regression, correlation analysis and...

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Príomhchruthaitheoirí: Kinnebrock, S, Poldolskij, M
Formáid: Working paper
Teanga:English
Foilsithe / Cruthaithe: Oxford-Man Institute of Quantitative Finance 2008
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author Kinnebrock, S
Poldolskij, M
author_facet Kinnebrock, S
Poldolskij, M
author_sort Kinnebrock, S
collection OXFORD
description This paper introduces a new estimator to measure the ex-post covariation between high-frequency financial time series under market microstructure noise. We provide anasymptotic limit theory (including feasible central limit theorems) for standard methods such as regression, correlation analysis and covariance, for which we obtain the optimal rate of convergence. We demonstrate some positive semidefinite estimators of the covariation and construct a positive semidefinite estimator of the conditional covariance matrix in the central limit theorem. Furthermore, we indicate how the assumptions on the noise process can be relaxed and how our method can be applied to non-synchronous observations. We also present an empirical study of how high-frequency correlations, regressions and covariances change through time.
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spelling oxford-uuid:b7e8fd75-6f9c-4bd8-9cff-d58a7a3832672022-03-27T04:52:08ZAn Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models.Working paperhttp://purl.org/coar/resource_type/c_8042uuid:b7e8fd75-6f9c-4bd8-9cff-d58a7a383267EnglishDepartment of Economics - ePrintsOxford-Man Institute of Quantitative Finance2008Kinnebrock, SPoldolskij, MThis paper introduces a new estimator to measure the ex-post covariation between high-frequency financial time series under market microstructure noise. We provide anasymptotic limit theory (including feasible central limit theorems) for standard methods such as regression, correlation analysis and covariance, for which we obtain the optimal rate of convergence. We demonstrate some positive semidefinite estimators of the covariation and construct a positive semidefinite estimator of the conditional covariance matrix in the central limit theorem. Furthermore, we indicate how the assumptions on the noise process can be relaxed and how our method can be applied to non-synchronous observations. We also present an empirical study of how high-frequency correlations, regressions and covariances change through time.
spellingShingle Kinnebrock, S
Poldolskij, M
An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models.
title An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models.
title_full An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models.
title_fullStr An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models.
title_full_unstemmed An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models.
title_short An Econometric Analysis of Modulated Realised Covariance, Regression and Correlation in Noisy Diffusion Models.
title_sort econometric analysis of modulated realised covariance regression and correlation in noisy diffusion models
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