Ultra high frequency volatility estimation with dependent microstructure noise

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

No 2005,30, Discussion Paper Series 1: Economic Studies from Deutsche Bundesbank

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.

Keywords: Market microstructure; Serial dependence; High frequency data; Realized volatility; Subsampling; Two Scales Realized Volatility (search for similar items in EconPapers)
Date: 2005
New Economics Papers: this item is included in nep-ets, nep-fmk and nep-mst
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Citations: View citations in EconPapers (38)

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Related works:
Journal Article: Ultra high frequency volatility estimation with dependent microstructure noise (2011)
Working Paper: Ultra High Frequency Volatility Estimation with Dependent Microstructure Noise (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:bubdp1:4224

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