Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/58570
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dc.contributor.authorJi Maen_US
dc.contributor.authorJianxu Liuen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-05T04:26:22Z-
dc.date.available2018-09-05T04:26:22Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85037855546en_US
dc.identifier.other10.1007/978-3-319-70942-0_32en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037855546&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58570-
dc.description.abstract© Springer International Publishing AG 2018. There is a strong correlation between the value of the US dollar and the Asian currencies. EGARCH-copula model, with the skewed student-t distribution and the skewed general error distribution, can be used to capture the dependence correlation between US dollar and an Asian currency from those seven currencies in this paper. Building a bivariate portfolio based on the fitted EGARCH-copula models can be used to make portfolio optimization with the methods of max return, min risk and max sharpe ratio, to obtain a positive and reasonable return.en_US
dc.subjectComputer Scienceen_US
dc.titleA portfolio optimization between us dollar index and some asian currencies with a copula-EGARCH approachen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume753en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsYunnan Academy of Social Sciencesen_US
Appears in Collections:CMUL: Journal Articles

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