Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/19615
Full metadata record
DC FieldValueLanguage
dc.creatorAit-Sahalia, Yacine-
dc.creatorMykland, Per A.-
dc.creatorZhang, Lan-
dc.date2005-
dc.date.accessioned2013-10-16T07:05:56Z-
dc.date.available2013-10-16T07:05:56Z-
dc.date.issued2013-10-16-
dc.identifierhttp://hdl.handle.net/10419/19615-
dc.identifierppn:500983321-
dc.identifierRePEc:zbw:bubdp1:4224-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/10419/19615-
dc.descriptionWe 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.languageeng-
dc.relationDiscussion paper Series 1 / Volkswirtschaftliches Forschungszentrum der Deutschen Bundesbank 2005,30-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.subjectddc:330-
dc.subjectMarket microstructure-
dc.subjectSerial dependence-
dc.subjectHigh frequency data-
dc.subjectRealized volatility-
dc.subjectSubsampling-
dc.subjectTwo Scales Realized Volatility-
dc.subjectMikrostrukturanalyse-
dc.subjectCapital Asset Pricing Model-
dc.subjectZeitreihenanalyse-
dc.subjectTheorie-
dc.titleUltra high frequency volatility estimation with dependent microstructure noise-
dc.typedoc-type:workingPaper-
Appears in Collections:EconStor

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.