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...

In this study, using a comprehensive dataset on business media coverage and textual analysis of the discussions in firms' quarterly earnings conference calls, we show that firms whose management fail to satisfy the demand for information, ceteris paribus, receive less media coverage. Poor...

Based on 58,256 news articles published in the Financial Times during a 15-year period that cover companies in the DJIA, we find that a trading strategy that longs stocks with the most negative news and shorts stocks with the least negative news is not profitable. Consistent with this result, we...

This report contains an overview of the relevant economic research literature on the digital transformation of news markets and the impact on the quality of news. It compares various definitions of fake news, including false news and other types of disinformation and finds that there is no...

We investigate the welfare effects of third-degree price discrimination by a two-sided platform that enables interaction between buyers and sellers. Sellers are heterogenous with respect to their per-interaction benefit, and, under price discrimination, the platform can condition its fee on...

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...

We study the use of firms' book-to-market ratios (B/M) in value investing and its implications for comovements in firms’ stock returns and trading volumes. We show B/M has become increasingly detached from common alternative valuation ratios over time while also becoming worse at forecasting...

I examine how financial markets interact with news about the COVID-19 pandemic. A twelve topic model optimizes the trade-off between number of topics and topic coherence. Using this model, I show that before mid-March 2020 markets react more to the same quantum of news when volatility is higher...

This study analyzes whether media coverage covers messages from parties' electoral programs (manifestos). Electoral programs contain detailed information on a party's future policy-making. However, few voters read electoral programs. Still, prior research often assumed that the content of...