Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/977
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dc.contributor.authorCaporale, GM-
dc.contributor.authorGil-Alana, LA-
dc.contributor.authorNazarski, M-
dc.coverage.spatial34en
dc.date.accessioned2007-07-05T15:34:56Z-
dc.date.available2007-07-05T15:34:56Z-
dc.date.issued2004-
dc.identifier.citationEconomics and Finance Working papers, Brunel University, 04-20en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/977-
dc.description.abstractThis paper examines a version of the tests of Robinson (1994) that enables one to test models of the form (1-Lk)dxt = ut, where k is an integer value, d may be any real number, and ut is I(0). The most common cases are those with k = 1 (unit or fractional roots) and k = 4 and 12 (seasonal unit or fractional models). However, we extend the analysis to cover situations such as (1-L5)d xt = ut, which might be relevant, for example, in the context of financial time series data. We apply these techniques to the daily Eurodollar rate and the Dow Jones index, and find that for the former series the most adequate specifications are either a pure random walk or a model of the form xt = xt-5 + εt, implying in both cases that the returns are completely unpredictable. In the case of the Dow Jones index, a model of the form (1-L5)d xt = ut is selected, with d constrained between 0.50 and 1, implying nonstationarity and mean-reverting behaviour.en
dc.format.extent627429 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherBrunel Universityen
dc.subjectFractional Integration; Seasonality; Long Memory; Day of the Week Effects;en
dc.subjectMonte Carlo Simulationsen
dc.titleTesting Of Nonstationarities In The Unit Circle,Long Memory Processes And Day Of The Week Effects In Financial Dataen
dc.typeResearch Paperen
Appears in Collections:Economics and Finance
Dept of Economics and Finance Research Papers

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