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dc.contributor.authorCaporale, GM-
dc.contributor.authorGil-Alana, LA-
dc.identifier.citationEconomics and Finance Working papers, Brunel University, 04-15en
dc.description.abstractIn a recent paper, Yoon (2003) shows that the Stochastic Unit Root (STUR) model is closely related to long memory processes, and, in particular, that it is a special case of an I(d) process, with d = 1.5. In this paper we further examine this issue by using parametric and semiparametric techniques for modelling long memory. In particular, we extend the analysis by considering both non-normality and seasonality, and shed light, theoretically and by means of Monte Carlo methods, on the relationship between the seasonal STUR and the seasonal I(d) models. The results show that, even in the case of I(1.5) underlying processes, the methods, which are specifically designed for testing I(d) statistical models are not appropriate for testing the STUR model. Moreover, they have in some cases very low power against STUR alternatives.en
dc.format.extent584426 bytes-
dc.publisherBrunel Universityen
dc.subjectStochastic Unit Roots; Long Memory; Seasonalityen
dc.titleThe Stochastic Unit Root Model And Fractional Integration: An Extension To The Seasonal Caseen
dc.typeResearch Paperen
Appears in Collections:Economics and Finance
Dept of Economics and Finance Research Papers

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