The effects of US Covid-19 policy responses on cryptocurrencies, Fintech and artificial intelligence stocks : a fractional integration analysis
Emmanuel Joel Aikins Abakah, Guglielmo Maria Caporale and Luis Alberiko Gil-Alana
This paper assesses the impact of US policy responses to the Covid-19 pandemic on various technology-related assets such as cryptocurrencies, financial technology, and artificial intelligence stocks using fractional integration techniques. More precisely, it analyzes the behavior of the percentage returns in the case of nine major coins (Bitcoin-BITC, Stella-STEL, Litecoin-LITE, Ethereum-ETHE, XRP (Ripple), Dash, Monero-MONE, NEM, Tether-TETH) and two technology-related stock market indices (the KBW NASDAQ Technology Index-KFTX, and the NASDAQ Artificial Intelligence index-AI) over the period 1 January 2020-5 March 2021. The results suggest that fiscal measures such as debt relief and fiscal policy announcements had positive effects on the series examined during the pandemic, when an increased mortality rate tended instead to drive them down; by contrast, monetary measures and announcements appear to have had very little impact and the Covid-19 containment measures none at all.
Year of publication: |
2022
|
---|---|
Authors: | Abakah, Emmanuel Joel Aikins ; Caporale, Guglielmo Maria ; Gil-Alaña, Luis A. |
Published in: |
Cogent economics & finance. - Abingdon : Taylor & Francis, ISSN 2332-2039, ZDB-ID 2773198-4. - Vol. 10.2022, 1, Art.-No. 2159736, p. 1-14
|
Subject: | artificial intelligence | covid-19 pandemic | Covid-19 policies | cryptocurrencies | Fintech | fractional integration | Künstliche Intelligenz | Artificial intelligence | Coronavirus | Virtuelle Währung | Virtual currency | Finanztechnologie | Financial technology | Welt | World | Wirkungsanalyse | Impact assessment | Finanzdienstleistung | Financial services | Epidemie | Epidemic |
Saved in:
freely available
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1080/23322039.2022.2159736 [DOI] hdl:10419/303900 [Handle] |
Classification: | C22 - Time-Series Models ; C32 - Time-Series Models ; G15 - International Financial Markets |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014500447
Saved in favorites