Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55583
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dc.contributor.authorDuangthip Sirikanchanaraken_US
dc.contributor.authorJianxu Liuen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.contributor.authorJiachun Xieen_US
dc.date.accessioned2018-09-05T02:58:10Z-
dc.date.available2018-09-05T02:58:10Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-84952700782en_US
dc.identifier.other10.1007/978-3-319-27284-9_21en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84952700782&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55583-
dc.description.abstract© Springer International Publishing Switzerland 2016. Copulas have become one of the most significant new tools to measure nonlinear dependence structure and tail dependence. Combining time-varying copulas and VAR model with kernel density function, this paper proposes a new method, called the time-varying copula-based VAR model, to analyze the transmission and co-movement of rice export prices between Thailand and Vietnam. The time-varying BB1 and BB7 copulas are proposed to measure asymmetric tail dependences. The main findings of this study reveal that there exists obvious co-movement between rice export prices of Thailand and Vietnam, and the time-varying BB7 copula has a better performance than others. In addition, the price transmission between the two markets is bi-directional, and the Vietnamese price is more suitable as price leader in terms of the results of impulse response functions.en_US
dc.subjectComputer Scienceen_US
dc.titleAnalysis of transmission and co-movement of rice export prices between Thailand and Vietnamen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume622en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsYunnan University of Finance and Economicsen_US
Appears in Collections:CMUL: Journal Articles

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