Resources Policy, Journal Year: 2021, Volume and Issue: 72, P. 102061 - 102061
Published: April 18, 2021
Language: Английский
Resources Policy, Journal Year: 2021, Volume and Issue: 72, P. 102061 - 102061
Published: April 18, 2021
Language: Английский
Journal of Behavioral and Experimental Finance, Journal Year: 2020, Volume and Issue: 27, P. 100371 - 100371
Published: June 29, 2020
Language: Английский
Citations
704Emerging Markets Finance and Trade, Journal Year: 2020, Volume and Issue: 56(10), P. 2198 - 2212
Published: July 25, 2020
In this article, we use an event study approach to empirically the market performance and response trends of Chinese industries COVID-19 pandemic. The found that transportation, mining, electricity & heating, environment have been adversely impacted by However, manufacturing, information technology, education health-care resilient
Language: Английский
Citations
598Emerging Markets Finance and Trade, Journal Year: 2020, Volume and Issue: 56(10), P. 2138 - 2150
Published: July 25, 2020
As the coronavirus pandemic (COVID-19) has amplified so country responses to it. With COVID-19 taking its toll on humans, as reflected in number of people infected by, and deaths from, COVID-19, countries responded by locking down economic activity peoples movement, imposing travel bans, implementing stimulus packages cushion unprecedented slowdown loss jobs. This article provides a commentary how most active financial indicator – namely, stock price reacted real-time different stages COVID-19's evolution. We argue that, with any unexpected news, markets over-react more information becomes available understand ramifications broadly market corrects itself. is our hypothesis which needs robust empirical verification.
Language: Английский
Citations
591Economic Analysis and Policy, Journal Year: 2021, Volume and Issue: 70, P. 220 - 237
Published: Feb. 26, 2021
Language: Английский
Citations
395Emerging Markets Finance and Trade, Journal Year: 2020, Volume and Issue: 56(10), P. 2408 - 2421
Published: July 25, 2020
This article measures the trade interconnectedness among countries before and after COVID-19 outbreak, forecasts future direction of trade. Using Trade Network Analysis Artificial Neural Networks, our findings show that: (1) There is a drastic reduction in interconnectedness, connectivity, density outbreak. (2) visible change structure trade-network (3) China's 'center' position network not affected by pandemic. (4) will be decline most economies until December 2020.
Language: Английский
Citations
393Finance research letters, Journal Year: 2020, Volume and Issue: 38, P. 101732 - 101732
Published: Aug. 20, 2020
Language: Английский
Citations
367Emerging Markets Finance and Trade, Journal Year: 2020, Volume and Issue: 56(10), P. 2298 - 2309
Published: July 25, 2020
This paper studies the impact of fear sentiment caused by coronavirus pandemic on Bitcoin price dynamics. We construct a new proxy for using hourly Google search queries coronavirus-related words. The results show that market volatility has been exacerbated as result an increase in interest coronavirus. Moreover, we find negative returns and high trading volume can be explained regarding Our also fails to act safe haven during pandemic.
Language: Английский
Citations
261Economic Analysis and Policy, Journal Year: 2020, Volume and Issue: 68, P. 191 - 198
Published: Sept. 28, 2020
Language: Английский
Citations
254Journal of Behavioral and Experimental Finance, Journal Year: 2020, Volume and Issue: 28, P. 100404 - 100404
Published: Sept. 19, 2020
Language: Английский
Citations
220Finance research letters, Journal Year: 2020, Volume and Issue: 40, P. 101709 - 101709
Published: July 30, 2020
Language: Английский
Citations
212