Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model
© 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 mar...
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th-cmuir.6653943832-536912018-09-04T09:55:43Z Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model Chakorn Praprom Chakorn Praprom Songsak Sriboonchitta Mathematics © 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. 2018-09-04T09:55:43Z 2018-09-04T09:55:43Z 2014-01-01 Journal 16860209 2-s2.0-84907245355 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907245355&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53691 |
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Mathematics Chakorn Praprom Chakorn Praprom Songsak Sriboonchitta Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model |
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© 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. |
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Chakorn Praprom Chakorn Praprom Songsak Sriboonchitta |
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Chakorn Praprom Chakorn Praprom Songsak Sriboonchitta |
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Chakorn Praprom |
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Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model |
title_short |
Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model |
title_full |
Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model |
title_fullStr |
Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model |
title_full_unstemmed |
Investigation of the dependence structure between imports and manufacturing production index of Thailand using copula-based GARCH model |
title_sort |
investigation of the dependence structure between imports and manufacturing production index of thailand using copula-based garch model |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907245355&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/53691 |
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