The COVID-19 and Dynamics in Financial Market: An Empirical Evidence in China

Authors

  • Xiaohan Lu

DOI:

https://doi.org/10.54691/bcpbm.v24i.1449

Keywords:

Covid-19, financial market, ARMA-GARCH model, vector autoregression, impulse response.

Abstract

Stock markets are so sensitive that they respond to occurrences rapidly. In this paper, we examine the relationship between the Covid-19 pandemic and dynamics in the stock market of China. This paper analyzes the data between the daily increase of the confirmed cases of Covid-19 in China and worldwide and representative indices of China’s stock market. We apply the unit root test to check the variables’ stationary state. We also develop VAR and ARMA-GARCH models to analyze the dynamic relation. Based on the empirical results, we conclude that the Covid-19 pandemic does not have a significant influence on the return of China’s financial market in the long term. China’s financial market has some degree of resilience. But China and the world's new Covid-19 case growth rate has a significant impact on China’s stock market volatility.

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References

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Published

2022-08-10

How to Cite

Lu, X. (2022). The COVID-19 and Dynamics in Financial Market: An Empirical Evidence in China. BCP Business & Management, 24, 122-129. https://doi.org/10.54691/bcpbm.v24i.1449