819

Ultra High Frequency Volatility Estimation with Dependent Microstructure Noise

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

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; Multiple Scales Realized Volatility



Heidi Sestrich 2005-06-10
Here is the full PDF text for this technical report. It is 460380 bytes long.