Comparative Analysis of Global Stock Market Volatility in the Post-epidemic Era
Abstract
With the global economy entering the post-epidemic era, the volatility of the stock market has become an important focus
of investors, policymakers and scholars. By using the GARCH model, the volatility of the glo bal stock market is studied in depth, and its
dynamic characteristics and main infl uencing factors are revealed. Studies have shown that macroeconomic environment, policy factors and
market psychology factors all have an important impact on stock market volatility. The rapid recovery of the economy, the adjustment of
monetary policy, the government’s response measures, as well as investors’ expectations, risk acceptance, group behavior and mood swings
may all cause large fl uctuations in the stock market. This research helps to improve the understanding of stock market volatility and provides
valuable reference for investors and policy makers.
of investors, policymakers and scholars. By using the GARCH model, the volatility of the glo bal stock market is studied in depth, and its
dynamic characteristics and main infl uencing factors are revealed. Studies have shown that macroeconomic environment, policy factors and
market psychology factors all have an important impact on stock market volatility. The rapid recovery of the economy, the adjustment of
monetary policy, the government’s response measures, as well as investors’ expectations, risk acceptance, group behavior and mood swings
may all cause large fl uctuations in the stock market. This research helps to improve the understanding of stock market volatility and provides
valuable reference for investors and policy makers.
Keywords
post-epidemic era, global stock market, volatility model
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PDFReferences
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[2]Che n Zhiying, Xiao Zhongyi , Li Yongkui. Analysis of Spillover Eff ects of Implied Volatility in International Stock Markets [J]. Complex Systems and
Complexity Science, 2020, 16(4): 56-65.
[3]Lei Likun. Research on International Stock Market High Frequency Fluctuation Information and China’s Stock Market Volatility Prediction [D]. Southwest
Jiaotong University, 2020.
DOI: http://dx.doi.org/10.18686/modern-management-forum.v8i1.12209
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