Pandemics and cryptocoins

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dc.contributor.author Salisu, Afees A.
dc.contributor.author Ogbonna, Ahamuefula E.
dc.contributor.author Oloko, Tirimisiyu F.
dc.date.accessioned 2024-05-15T09:54:12Z
dc.date.available 2024-05-15T09:54:12Z
dc.date.issued 2023-06
dc.description.abstract This study examines the effect of pandemic-induced uncertainty on cryptocoins (Bitcoin, Ethereum and Ripple). It employs the Westerlund and Narayan (2012, 2015) predictive model to examine the predictability of pandemic-induced uncertainty and our model’s forecast performance. We examine the role of asymmetry in uncertainty and the sensitivity of our results to the recently-developed Salisu and Akanni (2020) Global Fear Index. Cryptocoins act as a hedge against uncertainty due to pandemics, albeit with reduced hedging effectiveness in the COVID 19 period. Accounting for asymmetry improves predictability and model forecast performance. Our results may be sensitive to the choice of measure of pandemic- en_US
dc.description.department Economics en_US
dc.description.sdg SDG-08:Decent work and economic growth en_US
dc.description.uri http://www.elsevier.com/locate/iimb en_US
dc.identifier.citation Salisu, A.A., Ogbonna, A.E. & Oloko, T.F. 2023, 'Pandemics and cryptocoins', IIMB Management Review, vol. 35, no. 2, pp. 164-175, doi: 10.1016/j.iimb.2023.06.002. en_US
dc.identifier.issn 0970-3896 (print)
dc.identifier.other 10.1016/j.iimb.2023.06.002
dc.identifier.uri http://hdl.handle.net/2263/95981
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights © 2023 Published by Elsevier Ltd on behalf of Indian Institute of Management Bangalore. This is an open access article under the CC BY-NC-ND license. en_US
dc.subject Cryptocoins en_US
dc.subject Distributed lag model en_US
dc.subject Pandemic en_US
dc.subject Uncertainty en_US
dc.subject COVID-19 pandemic en_US
dc.subject Coronavirus disease 2019 (COVID-19) en_US
dc.subject SDG-08: Decent work and economic growth en_US
dc.title Pandemics and cryptocoins en_US
dc.type Article en_US


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