Do local social shocks affect borrower behavior in digital lending markets? Using U.S. mass shooting data for causal identification, this paper investigates the reactionary effects of adverse local social shocks on peer-to-peer (P2P) lending markets. Our short-run difference-in-differences and...

We document the growth of retail options trading over time and provide evidence that retail investors are drawn to options by anticipated spikes in volatility. Using data on options trades by clientele groups, we show retail investors purchase options in a concentrated fashion before firms'...

Contrary to the current state of research, we find almost complete reinvestment of dividends among the brokerage clients of a German online bank. Yet, investors do not reinvest most dividends immediately after payment. Initially, the bulk of dividends remains parked as cash in investors’...

Previous studies document a relationship between gambling at the aggregate level and investments in securities with lottery-like features. We combine data on individual gambling consumption with portfolio holdings and trading records to examine whether gambling and trading act as substitutes or...

Recordkeepers in DC pension plans are often paid indirectly in the form of revenue sharing from third-party funds on the menu. We show that these arrangements affect the investment menu of 401(k) plans. Revenue-sharing funds are more likely to be added to the menu and are less likely to be...

Modern life offers nearly unbridled access to information; it is the harnessing of this information to guide decision-making that presents a challenge. We study how one individual may try to shape the way another person interprets objective information by proposing a causal explanation (or...

I study a real-options model where the investor computes the value of a project (VOP) from available data. In the process, she makes mistakes, as she suffers from over-confidence and inference biases. I study how the optimal investment rule and timing depend on investors' biases. I show that the...

Using a large panel of U.S. brokerage accounts trades and positions, we show that a large fraction of retail investors trade as contrarians after large earnings surprises, especially for loser stocks, and that such contrarian trading contributes to post earnings announcement drift (PEAD) and...

Professional house price forecast data are consistent with a rational model where agents must learn about the parameters of the house price growth process and the underlying state of the housing market. Slow learning about the long-run mean can generate forecast bias, a response of forecasts to...

Using a large database of complex securities, I study how salient attributes of security design distort household investment decisions. I show banks add non-standard (fine-print) conditions to artificially increase advertised rates of headline return and downside protection-a phenomenon I term...