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Analysis of the European stock market's advance response time to COVID-19 based on Pearson correlation Coefficient

Published: 09 March 2021 Publication History

Abstract

The epidemic of COVID-19 has swept the world, which has had a very serious impact on the social economy. The stock market, as a barometer of the economy, has also been hit. This paper selects the stock indexes of Britain, Germany and France as the research object to explore the influence of COVID-19 on the stock index. The results show that the European stock market will fluctuate several days before the epidemic, and the volatility of the stock market is an early warning for the outbreak of COVID-19. The specific days of early warning for COVID-19 in stock markets of various countries are not quite the same. In Britain, the number of early warning days is 14 days, and the number of daily new confirmed cases of COVID-19 is strongly related to the country's stock market index. France's early warning days are 7 days, and the number of daily newly diagnosed COVID-19 is weakly related to the country's stock market index. Germany's early warning days are 5 days, and the daily new number of COVID-19 's confirmed cases is strongly related to the country's stock market index.

References

[1]
COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU), available online in https://coronavirus.jhu.edu/ map.html.
[2]
J.Kaplan, L.Frias, M.McFall-Johnsen, Countries around the world are reopening— here's our constantly updated list of how they're doing it and who remains under lockdown, available online in https://www.businessinsider.com/countries-onlockdown-coronavirus-italy-2020-3?r=US&IR=T,2020.
[3]
The Great Lockdown: Worst Economic Downturn Since the Great Depression, available online in https://blogs.imf.org/2020/04/14/the-great-lockdown-worst-economic-downturn-since-the-great-depression/.
[4]
I.Rodriguez-Lujan, R. Huerta, C. Elkan, C.S. Cruz, Quadratic programming feature selection, J, Mach. Learn. Res. 11(2)(2010) 1491-1516.
[5]
FTSE 100, available online in https://cn.investing.com/indices/uk-100.
[6]
CAC40, available online in https://cn.investing.com/indices/france-40.
[7]
DAX30 available online in https://cn.investing.com/indices/ germany-30.

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  • (2024)Research on Pricing and Replenishment Decision Making Based on ARIMA Time Series and Apriori Algorithm2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII)10.1109/ICMIII62623.2024.00113(573-577)Online publication date: 12-Jun-2024
  • (2023)Research on water quality spatiotemporal forecasting model based on ST-BIGRU-SVR neural networkWater Science & Technology10.2166/wst.2023.15688:3(530-541)Online publication date: 7-Jun-2023

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ACAI '20: Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence
December 2020
576 pages
ISBN:9781450388115
DOI:10.1145/3446132
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 09 March 2021

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Cited By

View all
  • (2024)Research on Pricing and Replenishment Decision Making Based on ARIMA Time Series and Apriori Algorithm2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII)10.1109/ICMIII62623.2024.00113(573-577)Online publication date: 12-Jun-2024
  • (2023)Research on water quality spatiotemporal forecasting model based on ST-BIGRU-SVR neural networkWater Science & Technology10.2166/wst.2023.15688:3(530-541)Online publication date: 7-Jun-2023

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