High-frequency return and volatility spillovers among cryptocurrencies

被引:28
|
作者
Sensoy, Ahmet [1 ]
Silva, Thiago Christiano [2 ,3 ]
Corbet, Shaen [4 ,5 ]
Tabak, Benjamin Miranda [6 ]
机构
[1] Bilkent Univ, Fac Business Adm, Ankara, Turkey
[2] Univ Catolica Brasilia, Brasilia, DF, Brazil
[3] Univ Sao Paulo, Fac Philosophy Sci & Literatures Ribeirao Preto, Dept Comp & Math, Sao Paulo, Brazil
[4] Dublin City Univ, DCU Business Sch, Dublin, Ireland
[5] Univ Waikato, Sch Accounting Finance & Econ, Hamilton, New Zealand
[6] Getulio Vargas Fdn, Sch Publ Policy & Govt, Brasilia, DF, Brazil
关键词
Cryptocurrency; bitcoin; network; spillover; minimal spanning tree; hierarchical clustering; machine learning; BITCOIN;
D O I
10.1080/00036846.2021.1899119
中图分类号
F [经济];
学科分类号
02 ;
摘要
We examine the high-frequency return and volatility of major cryptocurrencies and reveal that spillovers among them exist. Our analysis shows that return and volatility clustering structures are distinct among different cryptocurrencies, suggesting that return and volatility might have different spillover patterns. Further investigation via minimal spanning trees points out that BTC, LTC and ETH are the most relevant cryptocurrencies in general, serving as connection hubs for linking many other cryptocurrencies. However, their role is challenged lately, potentially due to the increased usage of other cryptocurrencies in time.
引用
收藏
页码:4310 / 4328
页数:19
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