Ozkan Oktay
Department of Business Administration, Faculty of Economics and Administrative Sciences, Tokat Gaziosmanpasa University, Tokat, Turkey.
Res Int Bus Finance. 2021 Dec;58:101445. doi: 10.1016/j.ribaf.2021.101445. Epub 2021 May 29.
This study investigates the impact of the novel coronavirus (COVID-19) pandemic on stock market efficiency for six hard-hit developed countries, namely, the United States (US), Spain, the United Kingdom (UK), Italy, France, and Germany. Applying the wild bootstrap automatic variance ratio test on daily stock market data from July 29, 2019 to January 25, 2021, it is found that all stock markets used in this study deviate from market efficiency during some periods of the pandemic. Deviations from market efficiency are seen more in the stock markets of the US and UK during the COVID-19 outbreak than in other stock markets. These results are strengthened when a different econometric method, the automatic portmanteau test, is used. The findings of this study indicate an increasing chance for stock price predictions and abnormal returns during the COVID-19 pandemic.
本研究调查了新型冠状病毒(COVID-19)大流行对六个受影响严重的发达国家股票市场效率的影响,这六个国家分别是美国、西班牙、英国、意大利、法国和德国。对2019年7月29日至2021年1月25日的每日股票市场数据应用野生自助法自动方差比检验,研究发现本研究中使用的所有股票市场在大流行的某些时期都偏离了市场效率。在COVID-19爆发期间,美国和英国的股票市场比其他股票市场更明显地偏离市场效率。当使用不同的计量经济学方法——自动检验统计量检验时,这些结果得到了强化。本研究的结果表明,在COVID-19大流行期间,股价预测和异常回报的可能性增加。