This paper derives a robust online equity trading algorithm that achieves the greatest possible percentage of the final wealth of the best pairs rebalancing rule in hindsight. A pairs rebalancing rule chooses some pair of stocks in the market and then perpetually executes rebalancing trades so...

Do equity crowdfunding investors rationally or irrationally herd? We build a model of rational information aggregation where both informed and uninformed investors arrive sequentially and rationally choose whether and how much to invest. We compare the predictions of the model to several...

We report an experiment that infers true overconfidence in relative ability through actions, as opposed to reported beliefs. Subjects choose how to invest earnings from a skill task when the returns depend solely upon risk, or both risk and relative placement, enabling joint estimation of...

We provide a preference-based rationale for endogenous overconfidence. Horizon-dependent risk aversion, combined with a possibility to forget, can generate overconfidence and excessive risk taking in equilibrium. An "anxiety prone" agent, who is more risk-averse to imminent than to distant...

We examine whether an unsophisticated investor's own gender and the gender of a sell-side analyst report writer jointly affect investor's investment judgements. Prior archival research suggests there is no factual basis for investors, irrespective of their gender, to respond differentially to...

Online financial communities provide a unique opportunity to directly examine individual investors' attention to accounting information on a large scale and in great detail. I analyze accounting-related content in large samples of Yahoo! message board posts and StockTwits and find investors pay...

Continuously rebalanced long-short trades are similar to highly levered trades in that their PNL profile depends not only on the final distribution of return, but also on the realized co-variance structure of the asset pair. It's easily possible for both orientations of a rebalanced long-short...

This paper studies static rational inattention problems with multiple actions and multiple shocks. We solve for the optimal signals chosen by agents and provide tools to interpret information processing. By relaxing restrictive assumptions previously used to gain tractability, we allow agents...

We consider a market economy where two rational agents are able to learn the distribution of future events. In this context, we study whether moving away from the standard Bayesian belief updating, in the sense of under-reaction to some degree to new information, may be strategically convenient...

We use a novel and unique dataset to measure attention to securities—individuals’ stock-following over time (watchlists)—to provide evidence that attention to securities reacts differently to various types of uncertainty. We find that market-wide uncertainty, measured by the VIX index,...