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An estimator for the cumulative co-volatility of asynchronously observed semimartingales with jumps

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  • Yuta Koike

Abstract

type="main" xml:id="sjos12043-abs-0001"> In this paper, we consider two semimartingales sampled at stopping times in an asynchronous manner. We are interested in estimating their cumulative co-volatility separately from the sum of their co-jumps. For this purpose, we combine the Hayashi–Yoshida method (to deal with the asynchronicity) with the threshold technique (to separate the jumps) and consider a class of statistics called the truncated Hayashi–Yoshida estimator. We prove the consistency and the asymptotic mixed normality of the truncated Hayashi–Yoshida estimator under some mild conditions allowing the presence of infinite activity jumps.

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  • Yuta Koike, 2014. "An estimator for the cumulative co-volatility of asynchronously observed semimartingales with jumps," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(2), pages 460-481, June.
  • Handle: RePEc:bla:scjsta:v:41:y:2014:i:2:p:460-481
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    File URL: http://hdl.handle.net/10.1111/sjos.12043
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    Cited by:

    1. Simon Clinet & Yoann Potiron, 2017. "Estimation for high-frequency data under parametric market microstructure noise," Papers 1712.01479, arXiv.org.

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