Fact or Friction: Jumps at Ultra High Frequency
University of Aarhus - CREATES
Roel C. A. Oomen
Deutsche Bank AG; University of Amsterdam
University of Aarhus - School of Economics and Management
January 31, 2014
Journal of Financial Economics (JFE), Forthcoming
This paper shows that jumps in financial asset prices are often erroneously identified and are, in fact, rare events accounting for a very small proportion of the total price variation. We apply new econometric techniques to a comprehensive set of ultra high-frequency equity and foreign exchange tick data recorded at milli-second precision, allowing us to examine the price evolution at the individual order level. We show that in both theory and practice traditional measures of jump variation based on lower-frequency data tend to spuriously assign a burst of volatility to the jump component. As a result, the true price variation coming from jumps is overstated. Our estimates based on tick data suggest that the jump variation is an order of magnitude smaller than typical estimates found in the existing literature.
The appendices for this paper are available at the following URL: http://ssrn.com/abstract=2177370
Number of Pages in PDF File: 44
Keywords: jump variation, high-frequency data, market microstructure noise, pre-averaging, realised variation, outliers
JEL Classification: C10, C80
Date posted: May 22, 2011 ; Last revised: February 3, 2014
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