We propose a new methodology based on Fourier analysis to estimate the fourth power of volatility function (spot quarticity) and, as a byproduct, the integrated function. We prove consistency of the proposed estimator of integrated quarticity. Further we analyze its e±ciency in the presence of microstructure noise, both from a theoretical and empirical viewpoint. Extensions to higher powers of volatility and to the multivariate case are also discussed.
We propose a new methodology based on Fourier analysis to estimate the fourth power of the volatility function (spot quarticity) and, as a byproduct, the integrated function. We prove the consistency of the proposed estimator of the integrated quarticity. Further, we analyse its efficiency in the presence of microstructure noise, from both a theoretical and empirical viewpoint. Extensions to higher powers of volatility and to the multivariate case are also discussed. © 2012 Copyright Taylor and Francis Group, LLC.
Estimation of quarticity with high frequency data
MANCINO, MARIA ELVIRA;
2012
Abstract
We propose a new methodology based on Fourier analysis to estimate the fourth power of the volatility function (spot quarticity) and, as a byproduct, the integrated function. We prove the consistency of the proposed estimator of the integrated quarticity. Further, we analyse its efficiency in the presence of microstructure noise, from both a theoretical and empirical viewpoint. Extensions to higher powers of volatility and to the multivariate case are also discussed. © 2012 Copyright Taylor and Francis Group, LLC.File | Dimensione | Formato | |
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11384_79793_po.pdf
Open Access dal 23/09/2013
Tipologia:
Accepted version (post-print)
Licenza:
Creative Commons
Dimensione
764.83 kB
Formato
Adobe PDF
|
764.83 kB | Adobe PDF |
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