An analysis of about 300000 earnings forecasts, created by 18000 individual forecasters for earnings of over 300 S&P listed firms, shows that these forecasts are predictable to a large extent using a statistical model that includes publicly available information. When we focus on the...

We examine the role of concurrent information in the striking increase in investor response to earnings announcements from 2001 to 2016, as measured by return variability and volume following Beaver (1968). We find management guidance, analyst forecasts, and disaggregated financial statement...

This paper studies asset markets in which ambiguity averse investors face Knightian uncertainty about expected payoffs. The same investors, however, might wish to resolve their uncertainty, although not risk, by just purchasing information. In these markets, uninformed and, hence, ambiguity...

This study examines the information content of quarterly earnings announcements, measured as the magnitude of stock price revision at earnings announcements relative to price revision at other times. We investigate whether quarterly earnings announcements are informative using a nonparametric...

We develop a measure of how information events impact investors' perceptions of risk that is broadly applicable and simple to implement. We derive this measure from an option-pricing model where investors anticipate an announcement that simultaneously conveys information on the announcer's...

We investigate whether mandatory earnings announcement date forecasts are informative to investors and the informational tradeoffs between mandatory and voluntary forecasts. We find: (i) The percentages of the quarter's earnings news conveyed by mandatory China and voluntary US forecasts are...