Forecasting Chinese international outbound tourists: Copula kink AR-GARCH model

• Main Authors: Boonyasana P., Chinnakumz W.
• Format: Journal
• Published: 2017
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008410750&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/42194
• Institution: Chiang Mai University

© 2016 by the Mathematical Association of Thailand. All rights reserved. The aim of this paper is to model and forecast Chinese tourist arrivals to Thailand, Singapore, and Malaysia. Monthly tourist arrivals from 1999 to 2014 are used in the analysis. In this paper, we propose Kink AR(m)-GARCH(p,q) model that combine the classical GARCH model of Bollerslev (1986)[1] with the Kink model of Chan and Tsay (1998). In additional, we assume that there are dependence between growth rate of tourist arrivals to Thailand, Singapore, and Malysia, from China. Copula approach was employed to capture these dependency. Therefore, Copula-base Kink AR(m)-GARCH(p,q) was used in this study. According to minimizing The results show that T-Copula 2-regimes Kink AR(1)-GARCH(1,1) model with normal, student-t, and skewed student-t error distributions, delivers the most accurate predictions.