Ultra High Frequency Volatility Estimation with Dependent Microstructure Noise

Yacine Ait-Sahalia, Per A. Mykland, Lan Zhang

We analyze the impact of time series dependence in market microstructure noise on the properties of estimators of the integrated volatility of an asset price based on data sampled at frequencies high enough for that noise to be a dominant consideration. We show that combining two time scales for that purpose will work even when the noise exhibits time series dependence, analyze in that context a refinement of this approach based on multiple time scales, and compare empirically our different estimators to the standard realized volatility

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Year of publication:	May 2005
Authors:	Ait-Sahalia, Yacine
Other Persons:	Zhang, Lan (contributor) ; Mykland, Per A. (contributor)
Institutions:	National Bureau of Economic Research (contributor)
Publisher:	Cambridge, Mass : National Bureau of Economic Research
Subject:	Theorie \| Theory \| Marktmikrostruktur \| Market microstructure \| Zeitreihenanalyse \| Time series analysis \| CAPM \| Volatilität \| Volatility

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