Investor sentiment and Bitcoin relationship: A quantile-based analysis

被引:27
|
作者
Mokni, Khaled [1 ,2 ]
Bouteska, Ahmed [3 ]
Nakhli, Mohamed Sahbi [4 ,5 ]
机构
[1] Northern Border Univ, Coll Business Adm, Ar Ar 91431, Saudi Arabia
[2] Gabes Univ, Inst Super Gest Gabes, Gabes 6002, Tunisia
[3] Tunis el Manar Univ, Fac Econ & Management Tunis, Tunis, Tunisia
[4] Univ Kairouan, ISIG Kairouan, Kairouan, Tunisia
[5] Univ Sousse, LaREMFIQ Lab, Sousse, Tunisia
来源
NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE | 2022年 / 60卷
关键词
Fear greed index; Bitcoin; Nonparametric causality; Quantiles; COVID-19; CONSISTENT NONPARAMETRIC TEST; CROSS-SECTION; CAUSALITY; MEDIA; VOLATILITY; ATTENTION; RETURNS;
D O I
10.1016/j.najef.2022.101657
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper applies a quantile-based analysis to investigate the causal relationships between Bitcoin and investor sentiment by considering the possible effects of the ongoing COVID-19 pandemic. Such an analysis allows investigating the predictive power of investor sentiment (Bitcoin) on Bitcoin (investor sentiment) at different levels of the distributions. Results emphasize that only Bitcoin returns/volatility have significant predictive power on the investor sentiment whether investors are fear or greed before and over the COVID-19 period. Moreover, the COVID-19 crisis has no effect on the causal relationship between the two variables. Further analysis shows an asymmetric causality observed only during the pandemic period. Furthermore, the quantile autoregressive regression model shows a significant positive relationship between investor sentiment and Bitcoin returns.
引用
收藏
页数:17
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