Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58518
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dc.contributor.authorParavee Maneejuken_US
dc.contributor.authorWoraphon Yamakaen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-05T04:25:50Z-
dc.date.available2018-09-05T04:25:50Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85038858065en_US
dc.identifier.other10.1007/978-3-319-73150-6_42en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038858065&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58518-
dc.description.abstract© 2018, Springer International Publishing AG. This study aims to examine the relationship between oil prices and stock markets in five ASEAN countries: Thailand, Indonesia, Malaysia, Singapore, and the Philippines. Copula approach is used for modelling dependence structure between variables. In essence, this study considers four classes of copula, namely Archimedean copulas, Elliptical copulas, extreme value copulas, and mixed copulas, to examine the dependency between oil prices and stock market prices. We found that Thai, Malaysian, and Indonesian stock markets are likely to boom when crude oil prices increase while the Singaporean stock market as well as the Philippines’s stock market tend to move in the opposite direction to crude oil prices. However, the results show that these relationships are not strong.en_US
dc.subjectComputer Scienceen_US
dc.titleMixed-copulas approach in examining the relationship between oil prices and ASEAN’s stock marketsen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume760en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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