Connectedness between cryptocurrencies using high-frequency data: A novel insight from the Silicon Valley Banks collapse

被引:25
作者
Ali, Shoaib [1 ]
Moussa, Faten [2 ]
Youssef, Manel [3 ]
机构
[1] Jiangsu Univ, Sch Finance & Econ, Zhenjiang 212013, Peoples R China
[2] South Mediterranean Univ, Mediterranean Sch Business, Tunis, Tunisia
[3] Ctr Econ & Social Studies & Res CERES, Ecovis KDH Partners, 71 Av Alain Savary, Tunis 1003, Tunisia
关键词
SVB; Cryptocurrencies; Connectedness; High -frequency data; BITCOIN; GOLD;
D O I
10.1016/j.frl.2023.104352
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The collapse of Silicon Valley Bank (SVB), a tech industry bank, has shaken the global financial markets, including cryptocurrencies; therefore, this study intends to investigate the return and volatility spillovers between leading cryptocurrencies using high-frequency data and the TVPVAR model. The results indicate that the total return connectedness had increased in the aftermath of the collapse, but the volatility connectedness remains unchanged. Moreover, conventional (stablecoins) cryptocurrencies are the net transmitter (recipient) of return and volatility spillovers from the system. The results of this study have important implications for investors and portfolio managers seeking to safeguard their investments.
引用
收藏
页数:9
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