Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53441
Title: Studying volatility and dependency of chinese outbound tourism demand in Singapore, Malaysia, and Thailand: A vine copula approach
Authors: Jianxu Liu
Songsak Sriboonchitta
Hung T. Nguyen
Vladik Kreinovich
Keywords: Computer Science
Engineering
Issue Date: 1-Jan-2014
Abstract: This 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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84897825601&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53441
ISSN: 21945357
Appears in Collections:CMUL: Journal Articles

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