Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/12316
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dc.contributor.authorCanepa, A-
dc.contributor.authorZanetti Chini, E-
dc.date.accessioned2016-03-10T12:58:05Z-
dc.date.available2016-03-10T12:58:05Z-
dc.date.issued2016-
dc.identifier.citationJournal of Empirical Finance, 37: pp. 91-103, (2016)en_US
dc.identifier.issn0927-5398-
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S0927539816300251-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/12316-
dc.description.abstractIn this paper we propose a novel nonlinear model to capture asymmetries in real estate cycles. The approach involves a particular parametrization of the transition function used in the transition equation of a smooth transition autoregressive model which improves the fit in the non-central probability region. The dynamic symmetry in house price cycles is strongly rejected for the housing markets taken into consideration. Further, our results show that the proposed model performs well in a out of sample forecasting exercise.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectHouse price cyclesen_US
dc.subjectDynamic asymmetriesen_US
dc.subjectNon-linear modelsen_US
dc.subjectForecastingen_US
dc.titleDynamic asymmetries in house price cycles: A generalized smooth transition modelen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.jempfin.2016.02.011-
dc.relation.isPartOfJournal of Empirical Finance-
pubs.publication-statusAccepted-
pubs.publication-statusAccepted-
Appears in Collections:Dept of Economics and Finance Research Papers

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