We propose and estimate a structural model of daily stock market activity to test competing theories of trading volume. The model features informed rational speculators and uninformed agents who trade either to hedge endowment shocks or to speculate on perceived information. To identify the...

We directly compare retail investor execution costs with exchange execution costs. We find off-exchange retail trades execute at lower effective spreads than comparable exchange trades, primarily due to the uninformed nature of retail trades. These results hold when payment for order flow (PFOF)...

This chapter reviews and synthesizes a rapidly growing subfield that analyzes the relation between media and financial markets. Research in this area identifies novel data sources, such as newspaper articles, Internet search queries, and posts on social networks, and employs inventive empirical...

This paper tests whether stock market investors appropriately distinguish 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. Even so, a...

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 over-extrapolation of trends -- that...

We identify model-free mispricing factors and relate them to global stock prices and investor beliefs. The factors measure variation in the relative mispricing of closed-end funds and their underlying assets. We design three factors to reflect the beliefs and capital flows of important...