Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54391
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dc.contributor.authorApiwat Ayusuken_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-04T10:12:48Z-
dc.date.available2018-09-04T10:12:48Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-84919344195en_US
dc.identifier.other10.1007/978-3-319-13449-9_22en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84919344195&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54391-
dc.description.abstract© Springer International Publishing Switzerland 2015. In this study, we analyze the international portfolio with respect to risk and return aspects.We applied entropy methods to find the optimal portfolio weights. In this method, we used entropy as the objective function and we also compared our results with the conventional method. Moreover, we use the linear belief function to build a portfolio, which can represent market information and financial knowledge and then we usematrix sweepings to integrate the knowledge for evaluating portfolio performance. Overall, our empirical analysis indicates that all entropy methods performed better than Markowitz method, and the finding also suggests that the investor should take the benefit from ASEAN market.en_US
dc.subjectComputer Scienceen_US
dc.titleRisk, return and international portfolio analysis: Entropy and linear belief functionsen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume583en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsPrince of Songkla Universityen_US
Appears in Collections:CMUL: Journal Articles

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