Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/19615
Authors: 
Ait-Sahalia, Yacine
Mykland, Per A.
Zhang, Lan
Year of Publication: 
2005
Series/Report no.: 
Discussion paper Series 1 / Volkswirtschaftliches Forschungszentrum der Deutschen Bundesbank 2005,30
Abstract: 
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.
Subjects: 
Market microstructure
Serial dependence
High frequency data
Realized volatility
Subsampling
Two Scales Realized Volatility
Document Type: 
Working Paper

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