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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chakorn Praprom | en_US |
dc.contributor.author | Chakorn Praprom | en_US |
dc.contributor.author | Songsak Sriboonchitta | en_US |
dc.date.accessioned | 2018-09-04T09:55:43Z | - |
dc.date.available | 2018-09-04T09:55:43Z | - |
dc.date.issued | 2014-01-01 | en_US |
dc.identifier.issn | 16860209 | en_US |
dc.identifier.other | 2-s2.0-84907245355 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907245355&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/53691 | - |
dc.description.abstract | © 2014 by the Mathematical Association of Thailand. All rights reserved. This paper aims at investigating the dependence structure between the imports and the manufacturing production index of Thailand using a copula-GARCH approach. We applied skewed student-t distribution to estimate all of the marginal distributions with ARMA(1,12)-GARCH(1,1), ARMA(1,2)-GARCH(1,1)to fit the manufacturing production index (MPI) and the imports of Thailand. The results of this paper suggest that the student-t copula is the most appropriate method to best t the tail dependences in both static and time-varying copulas because the AIC and the BIC of this method are the lowest when compared with the candidates among the other types of copula. | en_US |
dc.subject | Mathematics | en_US |
dc.title | Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Thai Journal of Mathematics | en_US |
article.volume | 2014 | en_US |
article.stream.affiliations | Prince of Songkla University | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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