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DC Field | Value | Language |
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dc.contributor.author | Ji Ma | en_US |
dc.contributor.author | Jianxu Liu | en_US |
dc.contributor.author | Songsak Sriboonchitta | en_US |
dc.date.accessioned | 2018-09-05T04:26:22Z | - |
dc.date.available | 2018-09-05T04:26:22Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 1860949X | en_US |
dc.identifier.other | 2-s2.0-85037855546 | en_US |
dc.identifier.other | 10.1007/978-3-319-70942-0_32 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037855546&origin=inward | en_US |
dc.identifier.uri | http://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.subject | Computer Science | en_US |
dc.title | A portfolio optimization between us dollar index and some asian currencies with a copula-EGARCH approach | en_US |
dc.type | Book Series | en_US |
article.title.sourcetitle | Studies in Computational Intelligence | en_US |
article.volume | 753 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | Yunnan Academy of Social Sciences | en_US |
Appears in Collections: | CMUL: Journal Articles |
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