2020
DOI: 10.1016/j.qref.2019.09.011
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Fractal dynamics and wavelet analysis: Deep volatility and return properties of Bitcoin, Ethereum and Ripple

Abstract: The substantial volatility and growth in cryptocurrencies valuations between 2009 and the end of 2017 strongly suggest that both long memory and price volatility and return spillovers should be present in these assets' dynamics. To date, literature on the major cryptocurrencies price processes does not address jointly and comprehensively their fractal properties, long memory and wavelet analysis, that could robustly confirm the presence of fractal dynamics in their prices, and confirm or deny the validity of t… Show more

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Cited by 85 publications
(34 citation statements)
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References 42 publications
(46 reference statements)
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“…In addition, the fractal dimension increases between the first sub-period (before the outbreak) and the second (after the outbreak), indicating that herding behaviour declines during these periods. These results are in accordance with previous studies (Celeste, Corbet, & Gurdgiev, 2020); consequently inefficiency is reduced and bubble risks are minimised. Therefore, herding behaviour decreased in conventional, showing that the COVID-19 pandemic has had a positive impact on the other studied cryptocurrencies.…”
Section: Results and Analysis 41 Resultssupporting
confidence: 93%
“…In addition, the fractal dimension increases between the first sub-period (before the outbreak) and the second (after the outbreak), indicating that herding behaviour declines during these periods. These results are in accordance with previous studies (Celeste, Corbet, & Gurdgiev, 2020); consequently inefficiency is reduced and bubble risks are minimised. Therefore, herding behaviour decreased in conventional, showing that the COVID-19 pandemic has had a positive impact on the other studied cryptocurrencies.…”
Section: Results and Analysis 41 Resultssupporting
confidence: 93%
“…Currency and cryptocurrency markets represent a complex system in the domain of economics and finance ( Yang et al, 2016 , Bouri et al, 2019 , Gomes and Gubareva, 2020 ; and the references therein). These studies of interdependence of foreign exchange markets and cryptocurrency markets have been attracting a vast research interest from the point of view of contagion, adversely impacting portfolio risk management, strategic asset allocation, and financial instruments pricing ( Baumohl, 2019 , Kristjanpoller and Bouri, 2019 , Malik and Umar, 2019 , Celeste et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…coefficients in the variance equation are <0.05, they can be taken as significant. To see the leverage effect, we focus on the value of C (5), which is the asymmetric term's coefficient (λ). The value of C ( 5) is positive at 0.324936 and is significant as P<0.05.…”
Section: Discussionmentioning
confidence: 99%