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.

The outbreak of the COVID-19 pandemic and the steps taken to contain its spread resulted in a decline in tourism sector stock prices. Using linear and quantile regressions, we examine the impact of Twitter-based investor sentiment for COVID-19 and Twitter-based sentiment towards uncertainty on the performance of tourism stocks. The findings indicate a heterogenous effect of tweets and Twitter economic uncertainty on tourism sector equity returns with a major impact on the lower quantiles.