COVID-19 and Chinese stock prices: a volatility analysis

The 2020-2023 COVID-19 pandemic is the longest lasting and most extensive public emergency since the founding of China. In order to explore the impact of such public emergencies on China's economy, this paper proposes a hypothesis: the COVID-19 pandemic will cause fluctuations in the stock mark...

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Main Author: Suixin, Gao
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2024
Subjects:
Online Access:https://eprints.nottingham.ac.uk/76069/
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author Suixin, Gao
author_facet Suixin, Gao
author_sort Suixin, Gao
building Nottingham Research Data Repository
collection Online Access
description The 2020-2023 COVID-19 pandemic is the longest lasting and most extensive public emergency since the founding of China. In order to explore the impact of such public emergencies on China's economy, this paper proposes a hypothesis: the COVID-19 pandemic will cause fluctuations in the stock market and affect the economy. In order to explore the short-term impact of the COVID-19 outbreak on the Chinese stock market, this paper uses GARCH (1,1) to study the volatility changes of the Shanghai Stock Exchange Composite Stock Index (SSEC) and the Growth Enterprise 50 Index (SZEXT50) from 2020 to 2023. Based on the research results, this paper concludes that policies or news favorable to the epidemic can reduce the volatility of stock prices, while news unfavorable to the epidemic can increase the volatility. The first COVID-19 related policy had the biggest impact on the stock market. Previous studies by scholars have shown that the risk of the COVID-19 epidemic to China's stock market is not only the production and transportation problems caused by the epidemic, but also the decline of investors' confidence in the market. This paper takes the COVID-19 outbreak as an example to study the impact of public emergencies on China's stock market prices, hoping to supplement existing theories, provide certain experience for scientific response to public emergencies in the future, arouse social attention to public emergencies, and provide useful reference for improving the ability to respond to public health emergencies. To promote sustainable social and economic development.
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spelling nottingham-760692024-03-12T02:37:17Z https://eprints.nottingham.ac.uk/76069/ COVID-19 and Chinese stock prices: a volatility analysis Suixin, Gao The 2020-2023 COVID-19 pandemic is the longest lasting and most extensive public emergency since the founding of China. In order to explore the impact of such public emergencies on China's economy, this paper proposes a hypothesis: the COVID-19 pandemic will cause fluctuations in the stock market and affect the economy. In order to explore the short-term impact of the COVID-19 outbreak on the Chinese stock market, this paper uses GARCH (1,1) to study the volatility changes of the Shanghai Stock Exchange Composite Stock Index (SSEC) and the Growth Enterprise 50 Index (SZEXT50) from 2020 to 2023. Based on the research results, this paper concludes that policies or news favorable to the epidemic can reduce the volatility of stock prices, while news unfavorable to the epidemic can increase the volatility. The first COVID-19 related policy had the biggest impact on the stock market. Previous studies by scholars have shown that the risk of the COVID-19 epidemic to China's stock market is not only the production and transportation problems caused by the epidemic, but also the decline of investors' confidence in the market. This paper takes the COVID-19 outbreak as an example to study the impact of public emergencies on China's stock market prices, hoping to supplement existing theories, provide certain experience for scientific response to public emergencies in the future, arouse social attention to public emergencies, and provide useful reference for improving the ability to respond to public health emergencies. To promote sustainable social and economic development. 2024-03-09 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/76069/1/Gao%20Suixin.pdf Suixin, Gao (2024) COVID-19 and Chinese stock prices: a volatility analysis. [Dissertation (University of Nottingham only)] public emergencies COVID-19 Chinese stock market volatility GARCH
spellingShingle public emergencies
COVID-19
Chinese stock market
volatility
GARCH
Suixin, Gao
COVID-19 and Chinese stock prices: a volatility analysis
title COVID-19 and Chinese stock prices: a volatility analysis
title_full COVID-19 and Chinese stock prices: a volatility analysis
title_fullStr COVID-19 and Chinese stock prices: a volatility analysis
title_full_unstemmed COVID-19 and Chinese stock prices: a volatility analysis
title_short COVID-19 and Chinese stock prices: a volatility analysis
title_sort covid-19 and chinese stock prices: a volatility analysis
topic public emergencies
COVID-19
Chinese stock market
volatility
GARCH
url https://eprints.nottingham.ac.uk/76069/