Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9695
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dc.contributor.authorCaporale, GM-
dc.contributor.authorGil-Alana, LA-
dc.date.accessioned2015-01-12T12:50:45Z-
dc.date.available2014-
dc.date.available2015-01-12T12:50:45Z-
dc.date.issued2014-
dc.identifier.citationJournal of Forecasting, 33(2): 147 - 161, (March 2014)en_US
dc.identifier.issn0277-6693-
dc.identifier.urihttp://onlinelibrary.wiley.com/doi/10.1002/for.2282/abstract-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/9695-
dc.description.abstractThis paper uses fractional integration to examine the long-run dynamics and the cyclical structure of US inflation, real risk-free rate, real stock returns, equity premium and price/dividend ratio, annually from 1871 to 2000. It implements a procedure which allows to consider unit roots with possibly fractional orders of integration both at the zero (long-run) and the cyclical frequencies. When focusing exclusively on the former, the estimated order of integration varies considerably, and non-stationarity is found only for the price/dividend ratio. When the cyclical component is also taken into account, the series appear to be stationary but to exhibit long memory with respect to both components in almost all cases. The exception is the price/dividend ratio, whose order of integration is higher than 0.5 but smaller than 1 for the long-run frequency, and is between 0 and 0.5 for the cyclical component. Also, mean reversion occurs in all cases. Finally, six different criteria are applied to compare the forecasting performance of the fractional (at both zero and cyclical frequencies) models with others based on fractional and integer differentiation only at the zero frequency. The results, based on a 15-year horizon, show that the former outperforms the others in a number of cases.en_US
dc.language.isoenen_US
dc.publisherJohn Wiley & Sonsen_US
dc.subjectStock Marketen_US
dc.subjectFractional Cyclesen_US
dc.subjectLong Memoryen_US
dc.subjectGegenbauer Processesen_US
dc.titleLong run and cyclical dynamics in the US stock marketen_US
dc.typeArticleen_US
dc.identifier.doihttp:dx.doi.org/10.1002/for.2282-
dc.relation.isPartOfJournal of Forecasting-
dc.relation.isPartOfJournal of Forecasting-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance/Economics and Finance-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
Appears in Collections:Dept of Economics and Finance Research Papers

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