Asymptotic theory for range-based estimation of integrated variance of a continuous semi-martingale

dc.contributor.authorChristensen, Kim
dc.contributor.authorPodolski, Mark
dc.date.accessioned2005-07-07T12:28:17Z
dc.date.available2005-07-07T12:28:17Z
dc.date.issued2005-07-07T12:28:17Z
dc.description.abstractWe provide a set of probabilistic laws for range-based estimation of integrated variance of a continuous semi-martingale. To accomplish this, we exploit the properties of the price range as a volatility proxy and suggest a new method for non-parametric measurement of return variation. Assuming the entire sample path realization of the log-price process is available - and given weak technical conditions - we prove that the high-low statistic converges in probability to the integrated variance. Moreover, with slightly stronger condi- tions, in particular a zero drift-term, we ¯nd an asymptotic distribution theory. To relax the mean-zero constraint, we modify the estimator using an adjusted range. A weak law of large numbers and central limit theorem is then derived under more general assump- tions about drift. In practice, inference about integrated variance is drawn from discretely sampled data. Here, we split the sampling period into sub-intervals containing the same number of price recordings and estimate the true range. In this setting, we also prove consistency and asymptotic normality. Finally, we analyze our framework in the presence of microstructure noise. JEL Classification: C10; C22; C80.en
dc.format.extent337341 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2003/21513
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14208
dc.language.isoen
dc.subjectCentral limit theoremen
dc.subjectContinuous semi-martingaleen
dc.subjectHigh-frequency dataen
dc.subjectIntegrated varianceen
dc.subjectMarket microstructure noiseen
dc.subjectQuadratic variationen
dc.subjectRange-based varianceen
dc.subjectRealized varianceen
dc.subjectStochastic volatility diffusionen
dc.subjectVolatility measurementen
dc.subject.ddc004
dc.titleAsymptotic theory for range-based estimation of integrated variance of a continuous semi-martingaleen
dc.typeTexten
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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