Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55577
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dc.contributor.authorMethas Rattanasornen_US
dc.contributor.authorJianxu Liuen_US
dc.contributor.authorJirakom Sirisrisakulchaien_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-05T02:58:02Z-
dc.date.available2018-09-05T02:58:02Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85005952291en_US
dc.identifier.other10.1007/978-3-319-49046-5_52en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85005952291&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55577-
dc.description.abstract© Springer International Publishing AG 2016. This study aims to investigate the co-movement of gold and global major currencies. We propose several time-varying copula-based GARCH models to measure the co-movement of gold and exchange rate returns and construct the optimized portfolio under copula-based models with modern portfolio theory. The empirical results show that all of the exchange rates are positively correlated with gold, except for USD. With the exception of AUD and GBP, all other exchange rates exhibit a significantly time-varying dependence which is beneficial for portfolio diversification opportunities. We construct optimization problems based on modern portfolio theory and mean-variance portfolio. Our results suggest that the maximum Sharpe ratio portfolio outperformed both an equally weighted portfolio and a conventional Markowitz portfolio model. Finally, USD and gold are the best portfolio and their cumulative return of investment is about 20% over five years.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleModelling co-movement and portfolio optimization of gold and global major currenciesen_US
dc.typeBook Seriesen_US
article.title.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
article.volume9978 LNAIen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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