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dc.contributor.authorJianxu Liuen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.contributor.authorHung T. Nguyenen_US
dc.contributor.authorVladik Kreinovichen_US
dc.description.abstractThis paper investigates the volatility and dependence of Chinese tourism demand for Singapore, Malaysia, and Thailand (SMT) destinations, using the vine copula based auto regression moving average-generalized autoregressive conditional heteroskedasticity (ARMA-GARCH) model. It is found that a jolt to the tourist flow can have long-standing ramifications for the SMT countries. The estimation of the vine copulas among SMT show that the Survival Gumbel, Frank, and Gaussian copulas are the best copulas for Canonical vine (C-vine) or Drawable vine (D-vine) among the possible pair-copulas. In addition, this paper illustrates the making of time-varying Frank copulas for vine copulas. Finally, there is a discussion on tourism policy planning for better managing the tourism demand for the SMT countries. We suggest tour operators and national tourism promotion authorities of SMT collaborate closely in the marketing and promotion of joint tourism products. © Springer International Publishing Switzerland 2014.en_US
dc.subjectComputer Scienceen_US
dc.titleStudying volatility and dependency of chinese outbound tourism demand in Singapore, Malaysia, and Thailand: A vine copula approachen_US
dc.typeBook Seriesen_US
article.title.sourcetitleAdvances in Intelligent Systems and Computingen_US
article.volume251en_US Mai Universityen_US Mexico State University Las Crucesen_US of Texas at El Pasoen_US
Appears in Collections:CMUL: Journal Articles

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