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Ultra high frequency volatility estimation with dependent microstructure noise

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dc.creator Ait-Sahalia, Yacine
dc.creator Mykland, Per A.
dc.creator Zhang, Lan
dc.date 2005
dc.date.accessioned 2013-10-16T07:05:56Z
dc.date.available 2013-10-16T07:05:56Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/19615
dc.identifier ppn:500983321
dc.identifier RePEc:zbw:bubdp1:4224
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/19615
dc.description We analyze the impact of time series dependence in market microstructure noise on the properties of estimators of the integrated volatility of an asset price based on data sampled at frequencies high enough for that noise to be a dominant consideration. We show that combining two time scales for that purpose will work even when the noise exhibits time series dependence, analyze in that context a refinement of this approach based on multiple time scales, and compare empirically our different estimators to the standard realized volatility.
dc.language eng
dc.relation Discussion paper Series 1 / Volkswirtschaftliches Forschungszentrum der Deutschen Bundesbank 2005,30
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject ddc:330
dc.subject Market microstructure
dc.subject Serial dependence
dc.subject High frequency data
dc.subject Realized volatility
dc.subject Subsampling
dc.subject Two Scales Realized Volatility
dc.subject Mikrostrukturanalyse
dc.subject Capital Asset Pricing Model
dc.subject Zeitreihenanalyse
dc.subject Theorie
dc.title Ultra high frequency volatility estimation with dependent microstructure noise
dc.type doc-type:workingPaper


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