In this paper, we construct a sample of news co-occurrences using big data technologies. We show that stocks that co-occur in news articles are less risky, bigger, and more covered by financial analysts, and economically-connected stocks are mentioned more often in the same news articles. We...

We propose a parsimonious measure based solely on daily stock returns to characterize the severity of microstructure frictions at the individual stock level and assess the impact of frictions on the cross section of stock returns. Stocks with the largest frictions command a value-weighted return...

We extract contextualized representations of news text to predict returns using the state-of-the-art large language models in natural language processing. Unlike the traditional bag-of-words approach, the contextualized representation captures both the syntax and semantics of text, thus...

In the summer of 2018 the shares of New Concept Energy and Avalon Holdings increased more than 500% and then fell back down without any news or rumours about the companies. Using court documents we reconstruct the trades by an alleged manipulator, we analyze his strategic trading behavior and...

In a recent article in the Financial Analysts Journal, Zvi Bodie [1995] uses a clever insurance paradigm as the justification for assessing stocks' risk as a function of the investment horizon. He concludes that stocks' risk increases monotonically with the investment horizon. This is...

A firm's marketing efficiency, the ability to optimally deploy and integrate different marketing inputs to achieve high sales revenue at low cost, is persistent. High marketing efficiency predicts better future operating performance and stock returns, especially in competitive industries. A...

This paper studies the long-run risk embedded in the news about future investment-specific technology (IST). The IST news shock, which reflects future technological improvements in the production of investment goods such as computers, machines, and equipment, causes persistent future consumption...