COVID-19 and financial market response in China: Micro evidence and possible mechanisms

Author:

Wang ZhanORCID,Zhang Zhongwen,Zhang Qiong,Gao Jieying,Lin Weinan

Abstract

This paper uses event study based on the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model to study the impact of the COVID-19 outbreak on China’s financial market. It finds that the pandemic had an overall significant and negative impact on the stock prices of firms listed on SSE, SZSE and ChiNext. However, such impact appeared to be heterogeneous across industries, affecting listed firms in industries such as pharmaceutical and telecommunications positively, but those in services industries such as accommodation, catering, and commercial services negatively. Apparently, a crisis for some had been an opportunity for others. In addition, this paper seeks to understand the micro mechanism behind the heterogeneity of pandemic shock from the perspective of firms’ financial position. It finds that listed firms with higher debt level were hit harder, whereas those with more net cash flow had displayed higher resilience against the blow of the pandemic. However, the opposite pattern is found among those listed on ChiNext and in industries severely devastated by the pandemic. These findings have policy implications in terms of preventing systemic financial risks and facilitating recovery during pandemic-induced economic downturns. It also helps investor adjust investment strategies, hedge against risks, and secure gains when the market conditions in general are unfavorable.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference69 articles.

1. Is gold a hedge or a safe-haven asset in the COVID–19 crisis?;A Ma;Economic Modelling,2021

2. Who raised from the abyss? a comparison between cryptocurrency and stock market dynamics during the covid-19 pandemic;R. Caferra;Finance Research Letters,2021

3. An Interview with Experts on COVID-19 Pandemic and Consumption;X H Zang;Consumer Economics,2020

4. The economics of COVID-19 pandemic: A survey;R Padhan;Economic Analysis and Policy,2021

5. Correlations and Dependencies in the global financial village;D Y Kenett;International Journal of Modern Physics Conference World Scientific Publishing Company,2012

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