Zeng, Jin, Zhang, Yijia, Yin, Yun and Moffatt, Peter G. (2024) The effect of the Covid pandemic on stock market volatility: Separating initial impact from time-to-recovery. Data Science in Finance and Economics. pp. 531-547. ISSN 2769-2140
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Abstract
We develop an extension to the GARCHX model - named GARCHX-NL - that captures a key stylised fact for stock market return data seen during the Covid pandemic: an abrupt jump in volatility at the onset of the crisis, followed by a gradual return to its pre-crisis level. We apply the GARCHX-NL procedure to daily data on various major stock market indexes. The profile likelihood method is used for estimation. The model decomposes the overall impact of the crisis into two measures: the initial impact; and the "half-life" of the shock. We find a strong negative association between these two measures. Moreover, countries with low initial impact but a long half-life tend to be emerging markets, while those with high initial impact and short half-life tend to be developed economies with well established stock-markets. We attribute these differences to differences in investors' sensitivity to adverse news, and to differences in the preparedness of stock markets to absorb the effects of crises such as the Covid19
| Item Type: | Article |
|---|---|
| Additional Information: | Special Issue: Volatility and Asymmetric Models in Finance and Economics |
| Uncontrolled Keywords: | market volatility,covid19 pandemic,garchx,profile likelihood |
| Faculty \ School: | Faculty of Social Sciences > School of Economics |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Centres > Norwich Institute for Healthy Aging Faculty of Social Sciences > Research Groups > Behavioural Economics Faculty of Social Sciences > Research Groups > Applied Econometrics And Finance Faculty of Social Sciences > Research Centres > Centre for Behavioural and Experimental Social Sciences Faculty of Science > Research Groups > Statistics |
| Depositing User: | LivePure Connector |
| Date Deposited: | 15 Nov 2024 12:30 |
| Last Modified: | 20 Aug 2025 00:31 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/97690 |
| DOI: | 10.3934/DSFE.2024022 |
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