Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/129993
DC Field | Value | |
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dc.title | Volatility dynamics of the UK business cycle: A multivariate asymmetric garch approach | |
dc.contributor.author | Ho, K.Y. | |
dc.contributor.author | Tsui, A.K. | |
dc.contributor.author | Zhang, Z. | |
dc.date.accessioned | 2016-11-11T07:59:43Z | |
dc.date.available | 2016-11-11T07:59:43Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Ho, 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.issn | 12408095 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/129993 | |
dc.description.abstract | This 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.source | Scopus | |
dc.subject | Business Cycle Asymmetries | |
dc.subject | Constant Correlations | |
dc.subject | Multivariate Asymmetric GARCH | |
dc.subject | Time-Varying Correlations | |
dc.type | Article | |
dc.contributor.department | ECONOMICS | |
dc.description.sourcetitle | Economie Internationale | |
dc.description.volume | 117 | |
dc.description.issue | 1 | |
dc.description.page | 31-46 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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