Determining the return volatility of the Ghana stock exchange before and during the COVID-19 pandemic using the exponential GARCH model
In this paper, we utilise daily stock returns for the Ghanaian equity market (GSE) to examine the influence of the COVID-19 pandemic on market volatility. We take return volatility from 2nd January, 2018, to 31st December, 2021, and split it into two periods—the pre-COVID-19 period and the COVID-19...
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Veröffentlicht in: | SN Business & Economics 2022-12, Vol.3 (1), p.21, Article 21 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this paper, we utilise daily stock returns for the Ghanaian equity market (GSE) to examine the influence of the COVID-19 pandemic on market volatility. We take return volatility from 2nd January, 2018, to 31st December, 2021, and split it into two periods—the pre-COVID-19 period and the COVID-19 period. Utilising the exponential GARCH (EGARCH) model, we discovered leverage effects in all observed periods. Additionally, the research indicates that the COVID-19 period experienced high volatility with a transient volatility persistence. Furthermore, during the COVID-19 pandemic, positive shocks had a more significant impact on the volatility of the GSE’s returns than negative news of comparable magnitude. |
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ISSN: | 2662-9399 2662-9399 |
DOI: | 10.1007/s43546-022-00401-4 |