TY - JOUR
T1 - Volatility Spillovers and Other Dynamics Between Cryptocurrencies and the Energy and Bond Markets
AU - Bouteska, Ahmed
AU - Sharif, Taimur
AU - Abedin, Mohammad Zoynul
PY - 2023/7/27
Y1 - 2023/7/27
N2 - On a univariate setting, this study aims to: (a) model the volatility of Bitcoin, Dash, Monero, and Stellar, (b) check the eventual existence of structural breaks in their volatility, and (c) investigate the interconnection amid the cryptocurrency volatilities, the US equity and bond markets’ volatility, and the COVID-19 impacts. To accomplish these objectives, we adopt a comparative approach to select the GARCH model, use Inclán and Tiao’s (1994) Iterated Cumulative Sums of Squares (ICSS) algorithm, and then estimate a Simultaneous Equation Model (SEM), respectively. We find convincing evidence of the existence of return-volatility spillovers amid Bitcoin, Dash, and Stellar, and the role of Monero as the principal transmitter of shocks. We also observe a nexus of the cryptocurrency market with the US energy market but do not see any connectivity with the US bond market. Furthermore, we suggest that the observed period of high financial uncertainty, low economic sentiment, and the pandemic-led problems in the US energy market exert significant impact on the prices of Bitcoin, Dash, and Stellar, mainly receiving short-lived shocks. The findings of this paper have implications for fund managers and policymakers to ensure a right timing of their intervention and minimize risks during uncertainties in the wake of the Black Swan events, such as the COVID-19, the Russia-Ukraine conflict, etc.
AB - On a univariate setting, this study aims to: (a) model the volatility of Bitcoin, Dash, Monero, and Stellar, (b) check the eventual existence of structural breaks in their volatility, and (c) investigate the interconnection amid the cryptocurrency volatilities, the US equity and bond markets’ volatility, and the COVID-19 impacts. To accomplish these objectives, we adopt a comparative approach to select the GARCH model, use Inclán and Tiao’s (1994) Iterated Cumulative Sums of Squares (ICSS) algorithm, and then estimate a Simultaneous Equation Model (SEM), respectively. We find convincing evidence of the existence of return-volatility spillovers amid Bitcoin, Dash, and Stellar, and the role of Monero as the principal transmitter of shocks. We also observe a nexus of the cryptocurrency market with the US energy market but do not see any connectivity with the US bond market. Furthermore, we suggest that the observed period of high financial uncertainty, low economic sentiment, and the pandemic-led problems in the US energy market exert significant impact on the prices of Bitcoin, Dash, and Stellar, mainly receiving short-lived shocks. The findings of this paper have implications for fund managers and policymakers to ensure a right timing of their intervention and minimize risks during uncertainties in the wake of the Black Swan events, such as the COVID-19, the Russia-Ukraine conflict, etc.
U2 - 10.1016/j.qref.2023.07.008
DO - 10.1016/j.qref.2023.07.008
M3 - Article
SN - 1062-9769
JO - Quarterly Review of Economics and Finance
JF - Quarterly Review of Economics and Finance
ER -