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.
2012
Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
volatility; covariance; quarticity; microstructure; Fourier analysis.
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Open Access dal 23/09/2013

Tipologia: Accepted version (post-print)
Licenza: Creative Commons
Dimensione 764.83 kB
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764.83 kB Adobe PDF

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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/79793
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