Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/19615
Title: Ultra high frequency volatility estimation with dependent microstructure noise
Keywords: ddc:330
Market microstructure
Serial dependence
High frequency data
Realized volatility
Subsampling
Two Scales Realized Volatility
Mikrostrukturanalyse
Capital Asset Pricing Model
Zeitreihenanalyse
Theorie
Issue Date: 16-Oct-2013
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.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/19615
Other Identifiers: http://hdl.handle.net/10419/19615
ppn:500983321
RePEc:zbw:bubdp1:4224
Appears in Collections:EconStor

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