Burke Matt, Fry John, Kemp Sean, Woodhouse Drew
Sheffield Business School, Sheffield Hallam University, Howard Street, S1 1WB, United Kingdom.
Department of Physics and Maths, University of Hull, HU6 7RX, United Kingdom.
Financ Res Lett. 2022 Oct;49:103081. doi: 10.1016/j.frl.2022.103081. Epub 2022 Jun 24.
In this paper we investigate the predictability of cryptocurrency returns following increases in Covid-19 cases/deaths. We find that the rate of government intervention moderates the impact that Covid-19 cases/deaths have on cryptocurrency returns. We show that in periods of tightening government intervention, increases in Covid-19 cases positively predict cryptocurrency returns. We argue that this is due to investors imputing their expectations of the pandemic through a 'combined' signal.
在本文中,我们研究了新冠疫情病例/死亡人数增加后加密货币回报的可预测性。我们发现,政府干预的速度缓和了新冠疫情病例/死亡人数对加密货币回报的影响。我们表明,在政府干预收紧期间,新冠疫情病例的增加正向预测加密货币回报。我们认为,这是由于投资者通过一个“综合”信号来推断他们对疫情的预期。