Quantile dependence between investor attention and cryptocurrency returns: evidence from time and frequency domain analyses

被引:4
作者
Su, Xianfang [1 ]
Zhan, Wenqiang [1 ]
Li, Yong [1 ]
机构
[1] Guizhou Univ Finance & Econ, Sch Big Data Applicat & Econ, Guiyang, Peoples R China
关键词
Investor attention; cryptocurrency returns; cross-quantilogram; quantile coherency; attention-induced price pressure hypothesis; DIRECTIONAL PREDICTABILITY; GOOGLE SEARCHES; INEFFICIENCY; COHERENCY; MODEL; OIL;
D O I
10.1080/00036846.2021.1940826
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper examines, in the time and frequency domains, the quantile dependence and directional predictability of investor attention to cryptocurrency returns. We find that there is significant tail dependence between investor attention and cryptocurrency returns. When market pays very high or very low attention to cryptocurrencies, there is an increased likelihood to have very large positive gains and suffer from very large negative results. Our results indicate that the quantile dependence between investor attention and cryptocurrency returns has a higher statistical significance in the long-term than medium-term and short-term. This implies that quantile dependence between investor attention and cryptocurrency returns is mainly dominated by low-frequency components. These findings have important implications for cryptocurrency investors.
引用
收藏
页码:6439 / 6471
页数:33
相关论文
共 36 条
[1]   Investor attention and stock market activity: Evidence from France [J].
Aouadi, Amal ;
Arouri, Mohamed ;
Teulon, Frederic .
ECONOMIC MODELLING, 2013, 35 :674-681
[2]   All that glitters: The effect of attention and news on the buying behavior of individual and institutional investors [J].
Barber, Brad M. ;
Odean, Terrance .
REVIEW OF FINANCIAL STUDIES, 2008, 21 (02) :785-818
[3]   Quantile coherency: A general measure for dependence between cyclical economic variables [J].
Barunik, Jozef ;
Kley, Tobias .
ECONOMETRICS JOURNAL, 2019, 22 (02) :131-+
[4]   Are cryptocurrencies connected to forex? A quantile cross-spectral approach [J].
Baumohl, Eduard .
FINANCE RESEARCH LETTERS, 2019, 29 :363-372
[5]   Google searches and stock returns [J].
Bijl, Laurens ;
Kringhaug, Glenn ;
Molnar, Peter ;
Sandvik, Eirik .
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2016, 45 :150-156
[6]   Model assessment for time series dynamics using copula spectral densities: A graphical tool [J].
Birr, Stefan ;
Kley, Tobias ;
Volgushev, Stanislav .
JOURNAL OF MULTIVARIATE ANALYSIS, 2019, 172 :122-146
[7]   Price discovery of cryptocurrencies: Bitcoin and beyond [J].
Brauneis, Alexander ;
Mestel, Roland .
ECONOMICS LETTERS, 2018, 165 :58-61
[8]   Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin [J].
Cheah, Eng-Tuck ;
Fry, John .
ECONOMICS LETTERS, 2015, 130 :32-36
[9]   Investor Attention and Global Stock Returns [J].
Chen, Tao .
JOURNAL OF BEHAVIORAL FINANCE, 2017, 18 (03) :358-372
[10]   In Search of Attention [J].
Da, Zhi ;
Engelberg, Joseph ;
Gao, Pengjie .
JOURNAL OF FINANCE, 2011, 66 (05) :1461-1499