Title of article :
Effect of the Shenzhen-Hong Kong stock connect mechanism on stock market volatility
Author/Authors :
Wang, C School of Mathematics and Economics - Hubei University of Education - Wuhan, China , Rao, C School of Science - Wuhan University of Technology - Wuhan, China , Meng, Y School of Science - Wuhan University of Technology - Wuhan, China , Sun, X School of Mathematics and Statistics - Huanggang Normal University - Huanggang, China
Abstract :
The Shenzhen-Hong Kong Stock Connect (SHSC) mechanism has created
the largest two-way opening of the China capital market, but it has also increased risk
transmission. To analyze the impact of SHSC on the volatility of a single market in
Shenzhen or Hong Kong, this paper establishes the volatility models of stock markets
in Shenzhen and Hong Kong based on the Generalized Auto-Regressive Conditional
Heteroscedasticity (GARCH) type models with different perturbation terms. The preapplicable
test is made and the result shows that the return rate series of Shenzhen and
Hong Kong stock markets are stable and heteroscedastic, and they meet the conditions
of establishing the GARCH-type models. Then, the GARCH model and EGARCH model
are established to analyze the volatility of stock markets in Shenzhen and Hong Kong,
respectively. The results show that the opening of SHSC has increased the short-term
volatility of the stock markets in Shenzhen and Hong Kong and improved the efficiency
of information transmission between these two stock markets. Furthermore, the leverage
effect of the Shenzhen stock market is expanding under the effect of SHSC, but the leverage
effect of the Hong Kong stock market is decreasing.
Keywords :
Applied statistics , Economic time series analysis , SHSC mechanism , Volatility , GARCH model , EGARCH model
Journal title :
Scientia Iranica(Transactions E: Industrial Engineering)