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Fourier estimation of stochastic leverage using high frequency data

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  • Imma Valentina Curato

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    (Dipartimento di Economia e Management, Universita' degli Studi di Pisa)

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    Abstract

    In this paper, we define a new estimator of the leverage stochastic process based only on a pre-estimation of the Fourier coefficients of the volatility process. This feature constitutes a novelty in comparison with the leverage estimators proposed in the literature generally based on a pre-estimation of the spot volatility. Our estimator is proved to be consistent and in virtue of its definition it can be directly applied to estimate the leverage effect in case of irregular trading observations of the price path and microstructure noise contaminations.

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    File URL: http://www.disei.unifi.it/upload/sub/pubblicazioni/repec/flo/workingpapers/storicodimad/2013/dimadwp2013-04.pdf
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    Bibliographic Info

    Paper provided by Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa in its series Working Papers - Mathematical Economics with number 2013-04.

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    Length: 19 pages
    Date of creation: Jun 2013
    Date of revision:
    Handle: RePEc:flo:wpaper:2013-04

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    Related research

    Keywords: leverage; non-parametric estimation; semi-martingale; Fourier transform; high frequency data.;

    This paper has been announced in the following NEP Reports:

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    1. Carr, Peter & Wu, Liuren, 2007. "Stochastic skew in currency options," Journal of Financial Economics, Elsevier, vol. 86(1), pages 213-247, October.
    2. Ole E. Barndorff-Nielsen & Neil Shephard, 2000. "Econometric analysis of realised volatility and its use in estimating stochastic volatility models," Economics Papers 2001-W4, Economics Group, Nuffield College, University of Oxford, revised 05 Jul 2001.
    3. Yu, Jun, 2005. "On leverage in a stochastic volatility model," Journal of Econometrics, Elsevier, vol. 127(2), pages 165-178, August.
    4. Emilio Barucci & Maria Elvira Mancino, 2010. "Computation Of Volatility In Stochastic Volatility Models With High Frequency Data," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(05), pages 767-787.
    5. Mancino, M.E. & Sanfelici, S., 2008. "Robustness of Fourier estimator of integrated volatility in the presence of microstructure noise," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2966-2989, February.
    6. Ghysels, E. & Harvey, A. & Renault, E., 1996. "Stochastic Volatility," Cahiers de recherche 9613, Universite de Montreal, Departement de sciences economiques.
    7. Heston, Steven L, 1993. "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options," Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 327-43.
    8. Maria Elvira Mancino & Simona Sanfelici, 2012. "Estimation of quarticity with high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 12(4), pages 607-622, December.
    9. Maria Elvira Mancino & Paul Malliavin, 2002. "Fourier series method for measurement of multivariate volatilities," Finance and Stochastics, Springer, vol. 6(1), pages 49-61.
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