scholarly journals Retraction Note to: Google Search Intensity and the Investor Attention Effect: A Quantile Regression Approach

Author(s):  
Vighneswara Swamy ◽  
M. Dharani
2021 ◽  
Vol 10 ◽  
pp. 67-77
Author(s):  
Hajam Abid Bashir ◽  
Dilip Kumar ◽  
K Shiljas

This study examines the relationship between investor attention and herding effects in the cryptocurrency market by employing the vector autoregression and quantile regression models. Furthermore, we examine whether the COVID-19 pandemic affected herding behaviour in cryptocurrencies. Using the daily closing price and Google search volume of the five leading cryptocurrencies, the paper finds that herding in the cryptocurrency market decreases with an increase in investor attention for the overall sample. The results for the COVID-19 period indicate that the impact of investor attention on the herding effect decreases due to increased attention to the pandemic. This study is one of the initial attempts to examine the impact of investor attention on herding in cryptocurrencies.


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