Intraday spillovers in high-order moments among main cryptocurrency markets: the role of uncertainty indexes

This study examines hourly realized volatility and high-order moments (realized kurtosis, realized skewness, and Jumps) spillovers among leading cryptocurrency markets (Bitcoin [BTC], Ethreum [ETH], Litecoin [LTC], Ripple [XRP], Bitcoin Cash [BCH]) using the time-varying parameter vector autoregress...

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Published inEurasian economic review Vol. 14; no. 2; pp. 507 - 538
Main Authors Mensi, Walid, Kumar, Anoop S., Ko, Hee-Un, Kang, Sang Hoon
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.06.2024
Subjects
Economics
Economics and Finance
Original Paper
Cryptocurrencies
Hedging
G15
G14
High frequency
Spillovers in high moments
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Abstract This study examines hourly realized volatility and high-order moments (realized kurtosis, realized skewness, and Jumps) spillovers among leading cryptocurrency markets (Bitcoin [BTC], Ethreum [ETH], Litecoin [LTC], Ripple [XRP], Bitcoin Cash [BCH]) using the time-varying parameter vector autoregression (TVP-VAR)-based connectedness method of (Antonakakis, N., & Gabauer, D., (2017). Refined Measures of Dynamic Connectedness Based On TVP-VAR. Technical Report. Munich: University Library of Munich.). Further, we investigate the impacts of uncertainty indices of stocks, gold, and oil on spillover size by employing a quantile regression framework. The results show that cryptocurrency connectedness increased during COVID-19 and returned to pre-pandemic levels once the stock markets recovered. BTC and XRP are net receivers of realized spillovers, whereas the remaining markets are net transmitters in the system. Under high-order moments, BTC is a net receiver of spillovers in Kurtosis and Jumps and shifts to a net contributor in kurtosis. ETH (XRP) is a net transmitter (receiver) of spillovers at high moments, except for jumps. LTC (BCH) is a net transmitter (receiver) of spillovers in the system, irrespective of high-order moments. From the hedging analysis, we document the hedging ability of the XRP against price fluctuations in BTC and ETH assets. Furthermore, quantile regression analysis reveals that cryptocurrency markets react asymmetrically to uncertainties during bullish and bearish regimes and exhibit potential hedge and safe haven properties.
AbstractList This study examines hourly realized volatility and high-order moments (realized kurtosis, realized skewness, and Jumps) spillovers among leading cryptocurrency markets (Bitcoin [BTC], Ethreum [ETH], Litecoin [LTC], Ripple [XRP], Bitcoin Cash [BCH]) using the time-varying parameter vector autoregression (TVP-VAR)-based connectedness method of (Antonakakis, N., & Gabauer, D., (2017). Refined Measures of Dynamic Connectedness Based On TVP-VAR. Technical Report. Munich: University Library of Munich.). Further, we investigate the impacts of uncertainty indices of stocks, gold, and oil on spillover size by employing a quantile regression framework. The results show that cryptocurrency connectedness increased during COVID-19 and returned to pre-pandemic levels once the stock markets recovered. BTC and XRP are net receivers of realized spillovers, whereas the remaining markets are net transmitters in the system. Under high-order moments, BTC is a net receiver of spillovers in Kurtosis and Jumps and shifts to a net contributor in kurtosis. ETH (XRP) is a net transmitter (receiver) of spillovers at high moments, except for jumps. LTC (BCH) is a net transmitter (receiver) of spillovers in the system, irrespective of high-order moments. From the hedging analysis, we document the hedging ability of the XRP against price fluctuations in BTC and ETH assets. Furthermore, quantile regression analysis reveals that cryptocurrency markets react asymmetrically to uncertainties during bullish and bearish regimes and exhibit potential hedge and safe haven properties.
Author Ko, Hee-Un
Kang, Sang Hoon
Mensi, Walid
Kumar, Anoop S.
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  givenname: Sang Hoon
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  organization: School of Business, Pusan National University
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Hedging
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Snippet This study examines hourly realized volatility and high-order moments (realized kurtosis, realized skewness, and Jumps) spillovers among leading cryptocurrency...
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SubjectTerms Economics
Economics and Finance
Original Paper
Title Intraday spillovers in high-order moments among main cryptocurrency markets: the role of uncertainty indexes
URI https://link.springer.com/article/10.1007/s40822-024-00263-1
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