Jumps and stock market variance during the COVID-19 pandemic: Evidence from international stock markets

Qing Zeng, Xinjie Lu, Tao Li and Lan Wu

Finance Research Letters, 2022, vol. 48, issue C

Abstract: Based on the work of Buncic and Gisler (2017), this paper investigates whether the roles of jump components will change in forecasting the volatility of international equity markets during the COVID-19 pandemic. Interestingly, in contrast to the conclusions of Buncic and Gisler (2017), we find jump components of the international equity indices are useful to predict the international stock markets’ volatility during the COVID-19 pandemic. Our study tries to provide new evidence of jump components in stock markets.

Keywords: Jump components; International stock markets; The COVID-19 pandemic; Volatility forecasting; HAR model (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:48:y:2022:i:c:s1544612322001787

DOI: 10.1016/j.frl.2022.102896

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