This paper investigates the role of published stock recommendations in print and online media as investor sentiment in the near-term German stock market. In line with extant literature on other sentiment measures, vector autoregressions reveal that past stock returns drive today's sentiment, but...

This paper examines how different categories of COVID–19 news sentiment differentially impact the behavior of cryptocurrency returns. A nonlinear technique of transfer entropy is applied to investigate the relationship between the top 30 cryptocurrencies by market capitalization and COVID–19...

I examine the style and skill of small, medium, and large Bitcoin traders using order book data from the largest U.S.-based exchange, Coinbase. I find that all but the smallest traders are contrarian---they buy when prices have fallen and vice versa---and the larger the traders, the more...