This paper examines how news items released throughout the previous quarter help investors predict and understand earnings. It focuses on how earnings aggregates transactions and how this aggregation may lead to information loss. Through the disclosure of these news items that reveal these...

This paper investigates the usefulness of the real-time macroeconomic news-flow as a leading indicator of firm-level end-of-quarter realized earnings. Using recent advances in macroeconomics, I develop a nowcasting model for quarterly earnings and provide two main findings. First, I show that my...

We investigate the type of information text sentiment uncovers using earnings conference call transcripts and find that text sentiment fails to explain returns during intraday calls, while average trading volume and return volatility are higher during the call. This finding indicates that...

I examine whether the market's reaction to firms' earnings news varies with analysis (i.e., editorial content) produced by financial journalists. A series of restructuring events at The Wall Street Journal (WSJ) suggests that WSJ articles improve price discovery and increase trading volume at...

This paper examines the relative information shares of the Bund, i.e. the ten-year Euro bond future contract on German sovereign debt, versus two futures with shorter maturity. We find that the Bund is most important but does not dominate price discovery. The other contracts also have relevant -...