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The impact of COVID-19 on the stock market crash risk in China

Zhifeng Liu, Toan Luu Duc Huynh and Peng-Fei Dai

Research in International Business and Finance, 2021, vol. 57, issue C

Abstract: This study investigates the impact of the COVID-19 pandemic on the stock market crash risk in China. For this purpose, we first estimated the conditional skewness of the return distribution from a GARCH with skewness (GARCH-S) model as the proxy for the equity market crash risk of the Shanghai Stock Exchange. We then constructed a fear index for COVID-19 using data from the Baidu Index. Based on the findings, conditional skewness reacts negatively to daily growth in total confirmed cases, indicating that the pandemic increases stock market crash risk. Moreover, the fear sentiment exacerbates such risk, especially with regard to the impact of COVID-19. In other words, when the fear sentiment is high, the stock market crash risk is more strongly affected by the pandemic. Our evidence is robust for the number of daily deaths and global cases.

Keywords: COVID-19; Fear sentiment; Investor sentiment; Stock market crash risk; Skewness (search for similar items in EconPapers)
JEL-codes: G10 G32 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:57:y:2021:i:c:s0275531921000404

DOI: 10.1016/j.ribaf.2021.101419

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