Covid-19 pandemic and stock returns volatility: Evidence from Vietnam’s stock marke

Nguyen Thi My Linh
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引用次数: 0

Abstract

The Covid-19 global pandemic has caused trouble for labour and financial markets worldwide, and financial and health crises resulted. This makes policy makers get confused. The study is carried out with the aim of investigating the impacts of Covid-19 on both the mean and the conditional volatility of the Vietnamese stock market returns, using a simple the Generalized Autoregressive Conditionally Heteroskedastic (GARCH) model, spanning the period 01 January 2020 to 30 July 2021. The confirmed case and deaths growth rate are used as two proxies for the Covid-19 pandemic. The empirical evidence reveals that higher confirmed cases growth rate lead to a decrease in stock returns. It is also noted that stock returns volatility is affected positively and significantly by confirmed cases growth rate. This empirical evidence may prove informative for policy makers and investors.
Covid-19大流行和股票回报波动:来自越南股市的证据
新冠肺炎全球大流行给全球劳动力和金融市场带来了麻烦,引发了金融和健康危机。这让政策制定者感到困惑。本研究的目的是利用简单的广义自回归条件异方差(GARCH)模型,在2020年1月1日至2021年7月30日期间调查2019冠状病毒病对越南股市回报的平均波动和条件波动的影响。确诊病例和死亡增长率被用作Covid-19大流行的两个指标。实证结果表明,确诊病例增长率越高,股票收益越低。还应注意到,股票收益波动率受到确诊病例增长率的积极和显著影响。这一经验证据可能为政策制定者和投资者提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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