Fact or friction: Jumps at ultra high frequency

成果类型:
Article
署名作者:
Christensen, Kim; Oomen, Roel C. A.; Podolskij, Mark
署名单位:
CREATES; Aarhus University; Deutsche Bank; University of Amsterdam; Aarhus University
刊物名称:
JOURNAL OF FINANCIAL ECONOMICS
ISSN/ISSBN:
0304-405X
DOI:
10.1016/j.jfineco.2014.07.007
发表日期:
2014
页码:
576-599
关键词:
Jump variation high-frequency data microstructure noise Pre-averaging Realized variation
摘要:
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 millisecond 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. (C) 2014 Elsevier B.V. All rights reserved.
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