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International Journal of Frontiers in Engineering Technology, 2022, 4(4); doi: 10.25236/IJFET.2022.040403.

Volatility Spillover Effects Between Chinese and International Stock Market - Based on the Asymmetric EGRACH Model

Author(s)

Wenhao Xu

Corresponding Author:
Wenhao Xu
Affiliation(s)

School of Economics, Shanghai University, Shanghai, 201800, China

Abstract

This paper tests the volatility spillover effects between Chinese and international stock market from 2000 to 2019 by using asymmetric EGARCH model. Through the empirical analysis on the five indices’ daily data, it is found that the volatility spillover effect of international stock market on Chinese stock market is not significant across the whole sample period. Ever since the opening of the Shanghai-Hong Kong Stock Connect and the Shenzhen-Hong Kong Stock Connect, however, the volatility spillover effect between Chinese and international market has been strengthened compared to the past. Based on the research conclusions, this paper puts forward some suggestions for the further development of Chinese capital market.

Keywords

Stock market, Volatility spillover effect, EGARCH model, Financial internationalization

Cite This Paper

Wenhao Xu. Volatility Spillover Effects Between Chinese and International Stock Market - Based on the Asymmetric EGRACH Model. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 4: 14-20. https://doi.org/10.25236/IJFET.2022.040403.

References

[1] Christian Urom, Kevin O. Onwuka, Kalu E. Uma, Denis N. Yuni. Regime Dependent Effects and Cyclical Volatility Spillover between Crude Oil Price Movements and Stock Returns. International Economics, 2020, 161:10-29.

[2] Daniel, B, Nelson. Conditional Heteroskedasticity in Asset Returns: A New Approach. Modelling Stock Market Volatility, 1991, 59(2):347-0.

[3] Engle R F. Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 1981, 50(4):987-1008.

[4] He Hongxia, Hu Ridong. An Empirical Study on the Volatility Spillover Effect of Stock Market in Greater China: Based on the Multivariate Asymmetric BEKK-GARCH Model. Journal of Chongqing University of Science and Technology (Social Science Edition), 2011(10):5.

[5] Huang Haifeng, Ge Lin. The Test of the Synergistic Volatility Spillover Effect of Multiple Financial Market: Based on the Empirical Data of Securities Investment Fund Market in China. Financial Theory and Practice, 2015(2):4.

[6] Liu Fenggen, Zhou Yujian. (2018) Empirical Study on the Volatility Characteristics and Spillover Effects of the Stock Market. Journal of Yunnan University of Finance and Economics, 2018,34(11):12.

[7] Pick Schen Yip, Robert Brooks, Hung Xuan Do, Duc Khuong Nguyen. Dynamic Volatility Spillover Effects between Oil and Agricultural Products. International Review of Financial Analysis, 2020, 69.

[8] Robert F. Engle, Kenneth F. Kroner. Multivariate Simultaneous Generalized ARCH. Econometric Theory, 1995.

[9] White H, Kim T H, Manganelli S. VAR for VaR: Measuring Tail Dependence Using Multivariate Regression Quantiles. Journal of Econometrics, 2015, 187(1):169-188.