数字加密货币
社会联系
波动性(金融)
溢出效应
经济
预测误差的方差分解
计量经济学
货币经济学
金融经济学
计算机科学
宏观经济学
计算机安全
心理学
心理治疗师
作者
Shuyue Yi,Zishuang Xu,Gang‐Jin Wang
标识
DOI:10.1016/j.irfa.2018.08.012
摘要
Using the spillover index approach and its variants, we examine both static and dynamic volatility connectedness among eight typical cryptocurrencies. The results reveal that their connectedness fluctuates cyclically and has shown an obvious rise trend since the end of 2016. In the variance decomposition framework, we further construct a volatility connectedness network linking 52 cryptocurrencies using the LASSO-VAR for estimating high-dimensional VARs. We find that these 52 cryptocurrencies are tightly interconnected and “mega-cap” cryptocurrencies are more likely to propagate volatility shocks to others. However, some unnoticeable cryptocurrencies (e.g., Maidsafe Coin) are also significant net-transmitters of volatility connectedness and even have larger contribution of volatility spillovers to others.
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