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http://bura.brunel.ac.uk/handle/2438/25653| Title: | The effects of us covid-19 policy responses on cryptocurrencies, fintech and artificial intelligence stocks: A fractional integration analysis |
| Authors: | Abakah, EJA Caporale, GM Gil-Alana, LA |
| Keywords: | Covid-19 pandemic;cryptocurrencies;Fintech;artificial intelligence;Covid-19 policies;fractional integration |
| Issue Date: | 20-Dec-2022 |
| Publisher: | Cogent OA (Taylor & Francis) |
| Citation: | Abakah, E.J.A., Caporale, G.M. and Gil-Alana, L.A. (2023) 'The effects of us covid-19 policy responses on cryptocurrencies, fintech and artificial intelligence stocks: A fractional integration analysis', Cogent Economics and Finance, 10 (1), 2159736, pp. 1 - 14. doi: 10.1080/23322039.2022.2159736. |
| Abstract: | Copyright © 2022 The Author(s). 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. |
| URI: | https://bura.brunel.ac.uk/handle/2438/25653 |
| DOI: | https://doi.org/10.1080/23322039.2022.2159736 |
| Other Identifiers: | ORCID iD: Guglielmo Maria Caporale https://orcid.org/0000-0002-0144-4135 2159736 |
| Appears in Collections: | Dept of Economics and Finance Research Papers |
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