Pandemics and Cryptocoins
IIMB Management Review
; 2023.
Article
Dans Anglais
| ScienceDirect | ID: covidwho-20242344
ABSTRACT
This study examines the effect of pandemic-induced uncertainty on cryptocoins (Bitcoin, Ethereum and Ripple). It employs 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 Salisu and Akanni (2020) recently developed Global Fear Index. Cryptocoins acts as 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-induced uncertainty.
Texte intégral:
Disponible
Collection:
Bases de données des oragnisations internationales
Base de données:
ScienceDirect
Type d'étude:
Étude pronostique
langue:
Anglais
Revue:
IIMB Management Review
Année:
2023
Type de document:
Article
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