The impact of Chinese tourists on volatility size effects and stock market performance in Taiwan
This paper investigates the volatility size effects for firm performance in the Taiwan tourism industry, especially the impacts arising from the tourism policy reform that allowed mainland Chinese tourists to travel to Taiwan. Four conditional univariate GARCH models are used to estimate the volatility in the stock indexes for large and small firms in Taiwan. Daily data from 30 November 2001 to 27 February 2013 are used, which covers the period of Cross-Straits tension between China and Taiwan. The full sample period can be divided into two subsamples, namely prior to and after the policy reform that encouraged Chinese tourists to Taiwan. The empirical findings confirm that there have been important changes in the volatility size effects for firm performance, regardless of firm size and estimation period. Furthermore, the risk premium reveals insignificant estimates in both time periods, while asymmetric effects are found to exist only for large firms after the policy reform. The empirical findings should be useful for financial managers and policy analysts as it provides insight into the magnitude of the volatility size effects for firm performance, how it can vary with firm size, the impacts arising from the industry policy reform, and how firm size is related to financial risk management strategy.
|Asymmetry, Conditional volatility models, Firm size, Tourism, Tourism policy reform, Volatility size effects|
|20th International Congress on Modelling and Simulation - Adapting to Change: The Multiple Roles of Modelling, MODSIM 2013 - Held jointly with the 22nd National Conference of the Australian Society for Operations Research, ASOR 2013 and the DSTO led Defence Operations Research Symposium, DORS 2013|
|Organisation||Department of Econometrics|
Chang, C-L, Hsu, H-K, & McAleer, M.J. (2020). The impact of Chinese tourists on volatility size effects and stock market performance in Taiwan. In Proceedings - 20th International Congress on Modelling and Simulation, MODSIM 2013 (pp. 1222–1227). Retrieved from http://hdl.handle.net/1765/125318