2021
DOI: 10.1016/j.resourpol.2021.102281
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Cryptocurrencies and oil price shocks: A NARDL analysis in the COVID-19 pandemic

Abstract: This study explores potential non-linear and asymmetric interdependencies between oil price shocks and leading cryptocurrency returns. In addition, this research splits changes in crude oil prices into three relevant components: risk, demand, and supply shocks. By applying the NARDL methodology, this paper examines the connection between oil and cryptocurrencies in the period between November 20, 2018 and June 30, 2020, conducting a study of the first wave of the COVID-19 pandemic. Our results confirm that dem… Show more

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Cited by 62 publications
(25 citation statements)
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“…The conditional variance of returns is broken down into two parts. These are dynamics smooth conditional variance parts linked to the spillovers of news impacts and the conditional variance correlated to the different features dataset arrival process, which causes the leaps ( Jareño et al, 2021 ). Thus, the conditional variance of returns is stated below: …”
Section: Methodsmentioning
confidence: 99%
“…The conditional variance of returns is broken down into two parts. These are dynamics smooth conditional variance parts linked to the spillovers of news impacts and the conditional variance correlated to the different features dataset arrival process, which causes the leaps ( Jareño et al, 2021 ). Thus, the conditional variance of returns is stated below: …”
Section: Methodsmentioning
confidence: 99%
“…In order to investigate the impact of CNS on the gold and Bitcoin markets, we adopt the Nonlinear Autoregressive Distributed Lag (NARDL) framework. In recent years, an increasing number of articles have used NARDL framework to examine the asymmetric relationships ( Hong et al, 2016 ; Jareño et al, 2021 ; Thampanya et al, 2020 ). The model is an extension of Shin et al (2014) based on the symmetric autoregressive distributed lag model ( Pesaran et al, 2001 ), and proposed an asymmetric form.…”
Section: Methodsmentioning
confidence: 99%
“…The global COVID-19 outbreak has affected cryptocurrency markets. For instance, the biggest weekly decline in the Bitcoin price (nearly 36%) occur on 13 March 2020 (Jareño et al, 2021). Although these declines paralleled oil prices, we have observed the opposite in other periods.…”
Section: Introductionmentioning
confidence: 47%