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Determining the return volatility of the Ghana stock exchange before and during the COVID-19 pandemic using the exponential GARCH model.
Prempeh, Kwadwo Boateng; Frimpong, Joseph Magnus; Amaning, Newman.
Afiliação
  • Prempeh KB; Department of Accountancy, Faculty of Business and Management Studies, Sunyani Technical University, Ghana Sunyani.
  • Frimpong JM; KNUST School of Business, Kumasi, Ghana.
  • Amaning N; Department of Accountancy, Faculty of Business and Management Studies, Sunyani Technical University, Ghana Sunyani.
SN Bus Econ ; 3(1): 21, 2023.
Article em En | MEDLINE | ID: mdl-36590699
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: SN Bus Econ Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: SN Bus Econ Ano de publicação: 2023 Tipo de documento: Article