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Using Big Data to Discover Chaos in China’s Futures Market During COVID-19

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摘要 COVID-19 was first reported in China and quickly spread throughout the world.Weak investor confidence in government efforts to control the pandemic seriously affected global financial markets.This study investigated chaos in China’s futures market during COVID-19,focusing on the degree of chaos at different periods during the pandemic.We constructed a phase diagram to observe the attractor trajectory of index futures(IFs).During the COVID-19 outbreak,overall chaos in China’s futures market was increasing,and there was a clear correlation between market volatility and the macroenvironment(mainly government regulation).The Hurst index,calculated by rescaled range(R/S)analysis,was 0.46.The price and return of IFs showed long-term correlation and fractal characteristics;the relevant dimensions of the futures market were 2.17.Overall,under the influence of an emergency(COVID-19),chaos in China’s financial market intensified,creating a need for timely government intervention and macrocontrol of the market.This study’s findings can help improve the government’s understanding of the phenomenon of financial chaos caused by emergencies.This study also provides theoretical guidance for controlling financial chaos and maintaining healthy economic development when faced with similar events in the future.
出处 《Computers, Materials & Continua》 SCIE EI 2021年第12期3095-3107,共13页 计算机、材料和连续体(英文)
基金 This research was funded by This work was supported by the National Natural Science Foundation of China(No.72073041) Open Foundation for the University Innovation Platform in Hunan Province(No.18K103) 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province,Open Project(Nos.20181901CRP03,20181901CRP04,20181901CRP05) 2020 Hunan Provincial Higher Education Teaching Reform Research Project(Nos.HNJG–2020–1130,HNJG–2020–1124) and 2020 General Project of Hunan Social Science Fund(No.20B16).
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