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On the Correlation Structure of Microstructure Noise in Theory and Practice

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Author Info
Francis X. Diebold () (Department of Economics, University of Pennsylvania)
Georg H. Strasser () (Department of Economics, Boston College)

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Abstract

We argue for incorporating the financial economics of market microstructure into the financial econometrics of asset return volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross-correlation at zero displacement is typically negative, and cross-correlations at nonzero displacements are positive and decay geometrically. If market makers are sufficiently risk averse, however, the cross-correlation pattern is inverted. Our results are useful for assessing the validity of the frequently-assumed independence of latent price and microstructure noise, for explaining observed crosscorrelation patterns, for predicting as-yet undiscovered patterns, and for making informed conjectures as to improved volatility estimation methods.

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Publisher Info
Paper provided by Boston College Department of Economics in its series Boston College Working Papers in Economics with number 692.

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Length: 67 pages
Date of creation: 09 Oct 2008
Date of revision:
Handle: RePEc:boc:bocoec:693

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Related research
Keywords: Realized volatility; Market microstructure theory; High-frequency data; Financial econometrics;

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Find related papers by JEL classification:
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
G20 - Financial Economics - - Financial Institutions and Services - - - General
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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