Investor attention and the pricing of cryptocurrency market

被引:0
作者
Wei Zhang
Pengfei Wang
机构
[1] Tianjin University,College of Management and Economics
来源
Evolutionary and Institutional Economics Review | 2020年 / 17卷
关键词
Investor attention; Cryptocurrency market; Linear and nonlinear causality; Google Trends; Hash algorithm; Quantile regression; G12; G14;
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学科分类号
摘要
This paper examines the underlying relationship between investor attention measured by Google Trends and the top twenty cryptocurrencies from April 2013 to April 2018. We show the bi-directional Granger causality between investor attention and cryptocurrencies (i.e., return and volatility), which is supported by linear and nonlinear Granger causality tests. The quantile regression indicates that the high investor attention is always associated with the positive return. In the overall regression analysis based on the hash algorithm, the investor’s attention can significantly predict the return and return volatility. These findings show that investor attention significantly predicts cryptocurrencies, which provide implications for cryptocurrency investors.
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页码:445 / 468
页数:23
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