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Copula Based GARCH Dependence Model of Chinese and Korean Tourist Arrivals to Thailand: Implications for Risk Management

  • Conference paper
Modeling Dependence in Econometrics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 251))

Abstract

China and Korea are two of the important tourist markets for Thailand. The growth rates of tourist arrivals from these two countries have volatility and also seem to have co-movement. Understanding the dependence between these tourists markets has importance for strategic planning and processes for decision-making. The purpose of this study is to find out the dependence between the growth rates of tourist arrivals from China and Korea to Thailand by using the copula based GARCH model. Copula provides a potential and flexible method to model the dependence between random variables. It is preferable to the conventional approach because the copula can cross over the restriction of normal distribution and linear assumption, according to the Pearson correlation. The results of the analysis can contribute to appropriate policy implications. The results show that there exists a weak positive dependence and that the rotated Joe 180. copula is the best fit, which provides an evidence of lower tail dependence. The growth rates of tourist arrivals from China and Korea have co-movement that is both upward and downward, but with a weak dependence. The rise or loss of tourism demand from China (Korea) is slightly correlated by the rise or loss of tourism demand from Korea (China). The time-varying rotated Joe 180. copula is the best fit and the most significant, which implies that the dependence parameter has varied over time. The policy implications for the risk management of the tourism demand should provide enough motivation for the marketing and promotion of the tourism demand by considering the time-varying dependency of China and Korea. Moreover, they should consider alternative target markets as substitutes when theres a loss of arrivals from these two markets in order to diversify the risk of tourism demand.

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Author information

Authors and Affiliations

  1. Faculty of Economics, Chiang Mai University, Chiang Mai, 50200, Thailand

    Ornanong Puarattanaarunkorn & Songsak Sriboonchitta

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  1. Ornanong Puarattanaarunkorn
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  2. Songsak Sriboonchitta
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Correspondence to Ornanong Puarattanaarunkorn .

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Editors and Affiliations

  1. APAN Advanced Institute of Science and Technology, Ishikawa, Japan

    Van-Nam Huynh

  2. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  3. Faculty of Economics, Chiangmai University, Chiangmai, Thailand

    Songsak Sriboonchitta

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Puarattanaarunkorn, O., Sriboonchitta, S. (2014). Copula Based GARCH Dependence Model of Chinese and Korean Tourist Arrivals to Thailand: Implications for Risk Management. In: Huynh, VN., Kreinovich, V., Sriboonchitta, S. (eds) Modeling Dependence in Econometrics. Advances in Intelligent Systems and Computing, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-319-03395-2_22

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  • DOI: https://doi.org/10.1007/978-3-319-03395-2_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03394-5

  • Online ISBN: 978-3-319-03395-2

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