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dc.contributor.authorWarattaya Chinnakumyen_US
dc.contributor.authorPimonpun Boonyasanazen_US
dc.date.accessioned2018-09-05T03:06:38Z-
dc.date.available2018-09-05T03:06:38Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn16860209en_US
dc.identifier.other2-s2.0-85008388825en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008388825&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55963-
dc.description.abstract© 2016 by the Mathematical Association of Thailand. All rights reserved. The aim of this study is to model and forecast the tourist arrivals from East Asia, namely China, Korea, and Japan, to Thailand for the period from 1991 to 2016. In order to achieve this, two forecast models are applied: the AR(m)- GARCH(p,q), and the Kink AR-GARCH model (Kink AR(m)-GARCH(p,q)) that combine the classical GARCH model of Bollerslev (1986) with the Kink model of Chan and Tsay (1998). The accuracy of the forecast models is evaluated in terms of the RMSE, the MAE and the MSPE. The empirical results show that the Kink AR(1)-GARCH(1,1) produces forecast which perform(statistically) significantly better than AR(1)-GARCH(1,1) in forecasting tourist arrivals from China and Korea to Thailand. However, AR(1)-GARCH(1,1) is preferred for forecasting international tourism demand for Thailand from Japan.en_US
dc.subjectMathematicsen_US
dc.titleForecasting international tourism demand in Thailanden_US
dc.typeJournalen_US
article.title.sourcetitleThai Journal of Mathematicsen_US
article.volume14en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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