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This paper investigates the volatility processes of stablecoins and their potential stochastic interdependencies with Bitcoin volatility. We employ a novel approach to choose the optimal combination for the power law exponent and the minimum value for the volatilities bending the power law. Our results indicate that Bitcoin volatility is well-behaved in a statistical sense with a finite theoretical variance. Surprisingly, the volatilities of stablecoins are statistically unstable and contemporaneously respond to Bitcoin volatility. Also, whereas the volatilities of stablecoins are not Granger-causal for Bitcoin volatility, lagged Bitcoin volatility exhibits Granger-causal effects on the volatilities of stablecoins. We conclude that Bitcoin volatility is a fundamental factor that drives the volatilities of stablecoins.
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Grobys et al. (Fri,) studied this question.
synapsesocial.com/papers/69de843b6bae133e7de93944 — DOI: https://doi.org/10.1016/j.jempfin.2021.09.002
Klaus Grobys
University of Vaasa
Juha-Pekka Junttila
University of Oslo
James W. Kolari
Mitchell Institute
Journal of Empirical Finance
Texas A&M University
University of Jyväskylä
University of Vaasa
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