Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54417
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dc.contributor.authorTeera Kiatmanarochen_US
dc.contributor.authorOrnanong Puarattanaarunkornen_US
dc.contributor.authorKittawit Autchariyapanitkulen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-04T10:13:11Z-
dc.date.available2018-09-04T10:13:11Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-84958534369en_US
dc.identifier.other10.1007/978-3-319-25135-6_39en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84958534369&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54417-
dc.description.abstract© Springer International Publishing Switzerland 2015. This paper used the copula based ARMA-GARCH to examine the dependence structure between the weekly prices of two commodities, namely Crude oil and Crude palm oil. We found evidence of a weak positive dependence between two commodities prices. These findings suggest that the crude oil market of the Middle East and the crude palm oil market of Malaysia are linked together. This information is useful for decision making in various area, such as the risk management in financial field and the international trade in agricultural commodities.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleVolatility linkages between price returns of Crude oil and crude palm oil in the ASEAN region: A copula based GARCH approachen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)en_US
article.volume9376en_US
article.stream.affiliationsKhon Kaen Universityen_US
article.stream.affiliationsMaejo Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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