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Licensed Unlicensed Requires Authentication Published by De Gruyter February 29, 2012

The identification of price jumps

  • Jan Hanousek EMAIL logo , Evžen Kočenda and Jan Novotný

Abstract.

We performed an extensive simulation study to compare the relative performance of many price-jump indicators with respect to false positive and false negative probabilities. We simulated twenty different time series specifications with different intraday noise volatility patterns and price-jump specifications. The double McNemar non-parametric test (Psychometrika 12 (1947), 153–157) has been applied on constructed artificial time series to compare fourteen different price-jump indicators that are widely used in the literature. The results suggest large differences in terms of performance among the indicators, but we were able to identify the best-performing indicators. In the case of false positive probability, the best-performing price-jump indicator is based on thresholding with respect to centiles. In the case of false negative probability, the best indicator is based on bipower variation.

Received: 2011-05-03
Accepted: 2011-12-16
Published Online: 2012-02-29
Published in Print: 2012-March

© 2012 by Walter de Gruyter Berlin Boston

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