This article tests whether stock market investors appropriately distinguish between new and old information about firms. I define the staleness of a news story as its textual similarity to the previous ten stories about the same firm. I find that firms' stock returns respond less to stale news....

I use uniquely comprehensive data on financial news events to test four predictions from an asymmetric information model of a firm's stock price. Certain investors trade on information before it becomes public; then, public news levels the playing field for other investors, increasing their...

Over-the-counter (OTC) stocks are far less liquid, disclose less information, and exhibit lower institutional holdings than do listed stocks. We exploit these different market conditions to test theories of cross-sectional return premiums. Compared with premiums in listed markets, the OTC...

Because theories in finance rely critically on what agents know, designing powerful tests of these theories requires measuring information transmission. In this review, I characterize the rapidly growing subfield directly analyzing information in financial markets. Its three hallmarks are the...

type="main" <title type="main">ABSTRACT</title> <p>We structurally estimate a model in which agents’ information processing biases can cause predictability in firms’ asset returns and investment inefficiencies. We generalize the neoclassical investment model by allowing for two biases—overconfidence and...</p>