Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/68091
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dc.contributor.authorZitong Zhaoen_US
dc.contributor.authorRoengchai Tansuchaten_US
dc.date.accessioned2020-04-02T15:18:33Z-
dc.date.available2020-04-02T15:18:33Z-
dc.date.issued2019-10-14en_US
dc.identifier.issn17426596en_US
dc.identifier.issn17426588en_US
dc.identifier.other2-s2.0-85074920628en_US
dc.identifier.other10.1088/1742-6596/1324/1/012108en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074920628&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/68091-
dc.description.abstract© 2019 IOP Publishing Ltd. All rights reserved. This study aims to analyze the co-movement and volatility spillover among four stock markets consist of Chinese shipping sector stock index, oil futures, shipping freight and currency market. We estimate dependence among these four markets using the multivariate copula model. Then we use the VAR model and impulse response function to investigate the volatility spillover among them. The empirical results show that the Gaussian copula is the most appropriate dependence mode as the AIC and BIC of this copula are the lowest when compared to other candidate copula models. The dependence correlation coefficients show a weak volatility dependence among these four markets. In addition, the results of the VAR suggest a spillover effect from shipping stock and oil to freight market.en_US
dc.subjectPhysics and Astronomyen_US
dc.titleVolatility spillover and co-movement among Chinese shipping sector stock index, oil futures price, ocean freight charge and exchange rateen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleJournal of Physics: Conference Seriesen_US
article.volume1324en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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