Spillovers and multiscale relationships among cryptocurrencies: A portfolio implication using high frequency data

被引:2
|
作者
Mensi, Walid [1 ]
Rehman, Mobeen Ur [2 ,3 ]
Vo, Xuan Vinh [4 ]
Kang, Sang Hoon [5 ,6 ]
机构
[1] Sultan Qaboos Univ, Coll Econ & Polit Sci, Dept Econ & Finance, Muscat, Oman
[2] Keele Univ, Keele Business Sch, New Castle Under Lyme, England
[3] Univ Econ, Inst Business Res, Ho Chi Minh City, Vietnam
[4] Univ Econ, Inst Business Res, CFVG, Ho Chi Minh City, Vietnam
[5] Pusan Natl Univ, Sch Business, Busan 46241, South Korea
[6] Univ South Australia, UniSA Business, Adelaide, Australia
基金
新加坡国家研究基金会;
关键词
Cryptocurrency; Spillover; Hedging; High frequency; Wavelet; TIME-SERIES; UNIT-ROOT; BITCOIN; MARKET; CONNECTEDNESS; RISK; UNCERTAINTY; INTEGRATION; VARIANCE; RETURN;
D O I
10.1016/j.eap.2024.03.021
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study examines the nonlinear multiscale relationships and spillovers among the main cryptocurrencies (Bitcoin, Bitcoin cash, Ethereum, Litecoin, DASH, Ripple, and Monero) using spillover index methodology and wavelet approaches to hourly and daily price data. The results provide evidences of dynamic spillovers among cryptocurrencies. News releases influence the instability of spillovers. Monero is the largest transmitter of risk, and Ethereum is the largest receiver of risk from other markets. Monero and Ripple are net contributors of spillovers, whereas Bitcoin, DASH, Ethereum, and Litecoin are net receivers of spillovers. The correlation ranks for different scales show that the correlations increase with scale, indicating higher diversification benefits at low scales. A mixed portfolio composed of Bitcoin and other cryptocurrencies offers advantages over individual Bitcoin portfolios, particularly on a lower scale. Finally, the optimal portfolio weight shows that cryptocurrencies should hold more BTC than other cryptocurrencies.
引用
收藏
页码:449 / 479
页数:31
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