Using new SEC data, we study how funds use derivatives and how derivatives contribute to performance. Despite small portfolio weights, derivatives significantly impact funds’ leverage and contribute largely to returns. Contrary to prior research concluding derivatives are used for hedging, we find most derivative users buy index derivatives to amplify market exposure. Surprisingly, they underperform nonusers yet receive more flows. Using COVID-19 pandemic as a shock to evaluate explanations, we find they suffered a double whammy: failed to outperform nonusers by suffering losses from long derivative positions during the crash and from newly opened short positions when markets unexpectedly rebounded.

This paper empirically shows that information acquisition affects stock returns by reducing firm-level information asymmetry. When firms disclose material information known by insiders, information acquisition reduces asymmetric information and lowers stock returns. The effect is stronger for both unexpectedly good and bad news than anticipated news and when investors have a lower cost of information processing. Using the Northeast Blackout of 2003 as a natural experiment, I explore an exogenous shock in information acquisition and show causally that information acquisition reduces information asymmetry in a difference-in-differences setting.

I document portfolio pumping at the fund family level, a strategy that non-star fund managers buy stocks held by star funds in the family to inflate their performance at quarter-end. Star funds with high family pumping activities show strong evidence of inflated performance after 2002, when the Securities and Exchange Commission increased regulation on portfolio pumping at the fund level. Stocks pumped by the strategy show strong reversals at the last trading day of the quarter. Non-star fund managers pumping for star funds receive substantially higher flows in the future, which cannot be explained by fund characteristics.

This paper examines investors’ retirement savings allocation using a hand-collected dataset on employees’ 401(k) plans holdings. We find that 83% of investors in our sample hold only 39% of total assets and follow a return-chasing strategy. In contrast, the remaining 17% of wealthy investors with relatively higher financial scores follow CAPM alpha. This difference between the two investor groups explains why capital flows respond to returns at the plan-level but to CAPM alpha at the aggregated fund-level. Neither return-chasing nor alpha-chasing is optimal, as both strategies underperform target-date funds in 401(k) plans.

We study momentum and its predictability within equities listed at the London Stock Exchange (1820-1930). At the time, this was the largest and most liquid stock market and it was thinly regulated, making for a good laboratory to perform out-of-sample tests. Cross-sectionally, we find that the size and market factors are highly profitable, while long-term reversals are not. Momentum is the most profitable and volatile factor. Its returns resemble an echo: they are high in long-term formation portfolios, and vanish in short-term ones. We uncover momentum in dividends as well. When controlling for dividend momentum, price momentum loses significance and profitability. In the time-series, despite the presence of a few momentum crashes, dynamically hedged portfolios do not improve the performance of static momentum. We conclude that momentum returns are not predictable in our sample, which casts some doubt on the success of dynamic hedging strategies.