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dc.contributor.authorHANSEN, Peter Reinhard
dc.contributor.authorHOREL, Guillaume
dc.contributor.authorLUNDE, Asger
dc.contributor.authorARCHAKOV, Ilya
dc.date.accessioned2016-01-21T12:44:27Z
dc.date.available2016-01-21T12:44:27Z
dc.date.issued2016
dc.identifier.citationMark PODOLSKIJ, Robert STELZER, Steen THORBJØRNSEN and Almut E. D. VERAART (eds), The fascination of probability, statistics and their applications : in Honour of Ole E. Barndorff-Nielsen, [S.l.] : Springer Verlag, 2016, pp. 361-394en
dc.identifier.isbn9783319258249
dc.identifier.isbn9783319258263
dc.identifier.urihttps://hdl.handle.net/1814/38585
dc.description.abstractWe introduce a multivariate estimator of financial volatility that is based on the theory of Markov chains. The Markov chain framework takes advantage of the discreteness of high-frequency returns. We study the finite sample properties of the estimation in a simulation study and apply it to high-frequency commodity prices.en
dc.language.isoenen
dc.publisherSpringeren
dc.titleA Markov chain estimator of multivariate volatility from high frequency dataen
dc.typeContribution to booken
dc.identifier.doi10.1007/978-3-319-25826-3


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