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dc.contributor.authorSheu, Her-Jiunen_US
dc.contributor.authorCheng, Chien-Lingen_US
dc.date.accessioned2014-12-08T15:20:52Z-
dc.date.available2014-12-08T15:20:52Z-
dc.date.issued2011-07-04en_US
dc.identifier.issn1993-8233en_US
dc.identifier.urihttp://hdl.handle.net/11536/14848-
dc.description.abstractMany international investors have taken interest in the Hong Kong, Taiwan, and China stock markets for diversification to explore higher returns owing to their rapid economic growth and increased link with international capital markets over the past decades. As correlation is primary component for asset risk managing, asset pricing and portfolio allocating, which are concerns for investors, it is crucial to clarify the co-movement of these stock markets. The aim of this paper was to compare the effect of volatility of China and U.S. stock market respectively on the Taiwan and Hong Kong. Both vector autoregressive (VAR) and multivariate generalized autoregressive conditional heteroskedastic (MGARCH) model were employed for two separated sub-periods: 1996-2005 and 2006-2009. Results indicated that while China's rapid economic growth and its integration with Taiwan and Hong Kong, its stock market was considerably independent and its co-moments with other (international) markets were still not significant. It's useful information for investors that China stock market, with low co-moments with others, would be a good risk diversified investment and that U.S. stock market, with high co-moments with others, would be a good pricing indicator.en_US
dc.language.isoen_USen_US
dc.subjectStock marketen_US
dc.subjectvolatilityen_US
dc.subjectspilloveren_US
dc.subjectVARen_US
dc.subjectMGARCHen_US
dc.titleA study of US and China's volatility spillover effects on Hong Kong and Taiwanen_US
dc.typeArticleen_US
dc.identifier.journalAFRICAN JOURNAL OF BUSINESS MANAGEMENTen_US
dc.citation.volume5en_US
dc.citation.issue13en_US
dc.citation.spage5232en_US
dc.citation.epage5240en_US
dc.contributor.department經營管理研究所zh_TW
dc.contributor.departmentInstitute of Business and Managementen_US
dc.identifier.wosnumberWOS:000296231100021-
dc.citation.woscount0-
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