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dc.contributor.authorKrit Lattayapornen_US
dc.contributor.authorJianxu Liuen_US
dc.contributor.authorJirakom Sirisrisakulchaien_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-05T02:58:00Z-
dc.date.available2018-09-05T02:58:00Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn16113349en_US
dc.identifier.issn03029743en_US
dc.identifier.other2-s2.0-85005965302en_US
dc.identifier.other10.1007/978-3-319-49046-5_43en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85005965302&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55573-
dc.description.abstract© Springer International Publishing AG 2016. A benefit of portfolio diversification has been designated as evidence showing a low level of stock market interdependence. Therefore, this study aims at examining the interdependence of ASEAN-5 stock markets and the US, Japan, and China in order to increase portfolio diversification benefit among those countries. We proposed the timevarying copula-based VAR model to measure the interdependence and the transmission of stock price movement. Also, a forecasting Kendall’s tau method was proposed to check robustness of the copula-based model. The main findings of this study revealed that the dynamic Kendall’s tau between the US and Indonesia, the US and Malaysia displayed tiny values. It indicates existence of opportunities to diversify an international portfolio. Moreover, the dynamic dependences also indicate that the interdependence between ASEAN-5 and China have been remaining limited. The results of IRFs showed that US had the strongest impact to ASEAN-5 while Indonesia and Malaysia had the lowest response to US, Japan, and China. In addition, the robustness check indicates that our prediction is precise.en_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.titleModeling and forecasting interdependence of the ASEAN-5 stock markets and the US, Japan and Chinaen_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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