Quantile causal relationship between Bitcoin and stock indices

被引:0
作者
Kim, Myeong Jun [1 ]
Park, Sung Y. [2 ]
机构
[1] Guangzhou Univ Town, South China Univ Technol, Sch Econ & Finance, Guangzhou, Guangdong Sheng, Peoples R China
[2] Chung Ang Univ, Sch Econ, Seoul, South Korea
关键词
Bitcoin; stock indices; quantile regression; quantile non-causality test; COVID-19; C22; G13; F39; TIME-SERIES; UNIT-ROOT;
D O I
10.1080/13547860.2024.2347481
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study employs a Granger non-causality test in quantiles to analyze the causal relationship between Bitcoin and representative stock indices. We further bifurcate our analysis into pre- and post-COVID-19 periods, providing a unique perspective on hedge evaluation in different market conditions. The empirical findings reveal several key insights. First, a traditional causal test conducted over the entire period, which only considers causality at the mean, leads us to reject the null hypothesis that Bitcoin does not Granger cause any of the nine stock indices. However, we find that Bitcoin is not Granger caused by five out of nine stock indices. Second, by extending the analysis to the overall quantile interval, we find significant results in 12 out of 18 cases. Third, we identify robust causal relationships between Bitcoin and stock indices across lower and higher quantile intervals. Lastly, in the post-COVID-19 period, characterized by heightened price volatility and increased uncertainty, we observe a near-universal reversal in the causal relationships between Bitcoin and stock indices. Furthermore, the number of cases exhibiting causality increased markedly compared with the pre-COVID-19 period, which was characterized by more moderate price volatility and uncertainty.
引用
收藏
页码:812 / 828
页数:17
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