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Multipower Variation and Stochastic Volatility

Author

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  • Ole E. Barndorff-Nielsen
  • Neil Shephard

Abstract

In this brief note we review some of our recent results on the use of high frequency financial data to estimate objects like integrated variance in stochastic volatility models. Interesting issues include multipower variation, jumps and market microstructure effects.

Suggested Citation

  • Ole E. Barndorff-Nielsen & Neil Shephard, 2004. "Multipower Variation and Stochastic Volatility," OFRC Working Papers Series 2004fe22, Oxford Financial Research Centre.
    • Handle: RePEc:sbs:wpsefe:2004fe22
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    File URL: http://www.finance.ox.ac.uk/file_links/finecon_papers/2004fe22.pdf
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    Cited by:

    1. Inekwe John Nkwoma, 2014. "Business Cycle Variability and Growth Linkage," Monash Economics Working Papers 38-14, Monash University, Department of Economics.
    2. Chaboud, Alain P. & Chiquoine, Benjamin & Hjalmarsson, Erik & Loretan, Mico, 2010. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 212-240, March.
    3. Walter Distaso & Basel Awartani & Valentina Corradi, 2004. "Testing and Modelling Market Microstructure Effects with an Application to the Dow Jones Industrial Average," Econometric Society 2004 Australasian Meetings 273, Econometric Society.

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