Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China

Research Article

A Study on the Linkage of Shanghai, Shenzhen, and Hong Kong Stock Markets in the Context of the COVID-19

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  • @INPROCEEDINGS{10.4108/eai.18-11-2022.2326950,
        author={Xuan  Zhao and Shengyu  Xu},
        title={A Study on the Linkage of Shanghai, Shenzhen, and Hong Kong Stock Markets in the Context of the COVID-19},
        proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China},
        publisher={EAI},
        proceedings_a={ICEMME},
        year={2023},
        month={2},
        keywords={yield; impulse response; dcc-garch},
        doi={10.4108/eai.18-11-2022.2326950}
    }
    
  • Xuan Zhao
    Shengyu Xu
    Year: 2023
    A Study on the Linkage of Shanghai, Shenzhen, and Hong Kong Stock Markets in the Context of the COVID-19
    ICEMME
    EAI
    DOI: 10.4108/eai.18-11-2022.2326950
Xuan Zhao1,*, Shengyu Xu1
  • 1: School of Economics and Management, NJUST
*Contact email: 1147498985@qq.com

Abstract

In this paper, we use the representative stock indices of Shanghai, Shenzhen, and Hongkong as the research objects and the daily closing prices of stock indices from January 2, 2019, to January 20, 2021, as the sample data, and employ Granger causality tests, impulse response function analysis and the construction of DCC-GARCH models to empirically study the dynamics of the linkage between Shanghai, Shenzhen, and Hong Kong markets in the context of the occurrence of the COVID-19. The findings show that, first, the mainland stock market returns are affected by the historical returns of the Hong Kong market. Second, the occurrence of the COVID-19 strengthens the Mainland-Hong Kong stock market linkage effect and prolonged the shock. Third, the occurrence of the COVID-19 increases the volatility correlation between Shanghai and Hong Kong markets and decreases the volatility correlation between Shenzhen and Hong Kong markets.