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Purely discontinuous Levy processes and power variation: inference for integrated volatility and the scale parameter

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  • Jeannette H.C. Woerner

Abstract

This paper provides consistency and a distributional result for an estimate of the integrated volatility in different Levy type stochastic volatility models based on high frequency data. As an estimator we consider the p-th power variation, i.e. the sum of the p-th power of the absolute value of the log-price returns, allowing irregularly spaced data. Furthermore, we derive conditions on the mean process under which it is negligible. This allows us more flexibility in modelling, namely to include further jump components or even to leave the framework of semimartingales by adding a certain fractional Brownian motion. As a special case our method includes an estimating procedure for the scale parameter of discretely observed Levy processes.Â

Suggested Citation

  • Jeannette H.C. Woerner, 2003. "Purely discontinuous Levy processes and power variation: inference for integrated volatility and the scale parameter," OFRC Working Papers Series 2003mf08, Oxford Financial Research Centre.
    • Handle: RePEc:sbs:wpsefe:2003mf08
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    File URL: http://www.finance.ox.ac.uk/file_links/finecon_papers/2003mf08.pdf
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    Cited by:

    1. Todorov, Viktor & Tauchen, George, 2010. "Activity signature functions for high-frequency data analysis," Journal of Econometrics, Elsevier, vol. 154(2), pages 125-138, February.
    2. Almut E. D. Veraart, 2008. "Impact of time–inhomogeneous jumps and leverage type effects on returns and realised variances," CREATES Research Papers 2008-57, Department of Economics and Business Economics, Aarhus University.
    3. Ole E. Barndorff-Nielsen & Almut E. D. Veraart, 2009. "Stochastic volatility of volatility in continuous time," CREATES Research Papers 2009-25, Department of Economics and Business Economics, Aarhus University.

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