Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55569
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dc.contributor.authorPathairat Pastpipatkulen_US
dc.contributor.authorParavee Maneejuken_US
dc.contributor.authorSongsak Sriboonchitten_US
dc.date.accessioned2018-09-05T02:57:58Z-
dc.date.available2018-09-05T02:57:58Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85006063433en_US
dc.identifier.other10.1007/978-3-319-49046-5_42en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006063433&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55569-
dc.description.abstract© Springer International Publishing AG 2016. As internationally traded commodities typically depend on the value of US dollar, this paper especially focuses on the most traded commodities, gold and crude oil, and tries to examine the dependence structures between these variables and the US currency. We employ various types of copulas i.e. the multivariate copula, vine copula, and the Markov switching copula and examine for the best-fit copula functions to model the dependency. Evidence from this study shows that gold and oil prices follow an inverse relationship with the value of US dollar but the relationship between gold and oil itself is strongly positive. However, the pair copulas given condition by another variable results in some attractive correlations.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleThe best copula modeling of dependence structure among gold, oil prices, and U.S. currencyen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume9978 LNAIen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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