Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/129993
DC FieldValue
dc.titleVolatility dynamics of the UK business cycle: A multivariate asymmetric garch approach
dc.contributor.authorHo, K.Y.
dc.contributor.authorTsui, A.K.
dc.contributor.authorZhang, Z.
dc.date.accessioned2016-11-11T07:59:43Z
dc.date.available2016-11-11T07:59:43Z
dc.date.issued2009
dc.identifier.citationHo, K.Y., Tsui, A.K., Zhang, Z. (2009). Volatility dynamics of the UK business cycle: A multivariate asymmetric garch approach. Economie Internationale 117 (1) : 31-46. ScholarBank@NUS Repository.
dc.identifier.issn12408095
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/129993
dc.description.abstractThis paper analyses the volatility dynamics of the UK business cycle by proposing four new multivariate asymmetric GARCH models that not only capture asymmetric volatility but also time-varying correlations. The results indicate the existence of asymmetric volatility, but it is sensitive to the structure of the conditional variance. It is also found that correlations and volatility are usually higher around the recession phase of the UK economy. These have important implications for macroeconomic policy and forecasting for business cycle.
dc.sourceScopus
dc.subjectBusiness Cycle Asymmetries
dc.subjectConstant Correlations
dc.subjectMultivariate Asymmetric GARCH
dc.subjectTime-Varying Correlations
dc.typeArticle
dc.contributor.departmentECONOMICS
dc.description.sourcetitleEconomie Internationale
dc.description.volume117
dc.description.issue1
dc.description.page31-46
dc.identifier.isiutNOT_IN_WOS
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