Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/988
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dc.contributor.authorCaporale, GM-
dc.contributor.authorGil-Alana, LA-
dc.coverage.spatial9en
dc.date.accessioned2007-07-06T11:11:07Z-
dc.date.available2007-07-06T11:11:07Z-
dc.date.issued2005-
dc.identifier.citationEconmics and Finance Working papers, Brunel University, 05-10en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/988-
dc.description.abstractIn this article we estimate the order of integration of the volatility process of several exchange rates and stock returns using fractionally integrated semiparametric techniques, namely a local Whittle semiparametric estimator. The results suggest that all series can be well described in terms of I(d) statistical models, with values of d higher than 0, indicating long-memory behaviour.en
dc.format.extent90136 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherBrunel Universityen
dc.subjectFractional Integration, Semiparametric Estimation, Volatility, Asset Returnsen
dc.titleModelling Stochastic Volatility In Asset Returns Using Fractionally Integrated Semiparametric Techniquesen
dc.typeResearch Paperen
Appears in Collections:Economics and Finance
Dept of Economics and Finance Research Papers

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