Consistent High-Precision Volatility from High-Frequency Data
Ca' Foscari University of Venice; City University London
Gilles O. Zumbach
Ulrich A. Müller
Olsen & Associates
Michel M. Dacorogna
EFMA 2001 Lugano Meetings; FCO Working Paper No. 2000-09-25
Estimates of daily volatility are investigated. Realized volatility can be computed from returns observed over time intervals of different sizes. For simple statistical reasons, volatility estimators based on high-frequency returns have been proposed, but such estimators are found to be strongly biased as compared to volatilities of daily returns. This bias originates from microstructure effects in the price formation. For foreign exchange, the relevant microstructure effect is the incoherent price formation, which leads to a strong negative first-order autocorrelation rho(1) ~ -40% for tick-by-tick returns and to the volatility bias. On the basis of a simple theoretical model for foreign exchange data, the incoherent term can be filtered away from the tick-by-tick price series. With filtered prices, the daily volatility can be estimated using the information contained in high-frequency data, providing a high-precision measure of volatility at any time interval.
Number of Pages in PDF File: 19
Keywords: Volatility estimator, high frequency realized volatility, incoherent prices formation, return autocorrelation, volatility bias
JEL Classification: C13, C22
Date posted: February 23, 2001
© 2016 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollobot1 in 0.328 seconds