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We study the impact of index investing on firm performance by examining the link between commodity indices and firms that use index commodities. Around 2004, commodity index investing dramatically increased. This event is referred to as the financialization of commodity markets. Following financialization, firms that use index commodities make worse production decisions, earn 40% lower profits, and have 6% higher costs. Consistent with a feedback channel in which market participants learn from prices, our results suggest that index investing distorts the price signal, thereby generating a negative externality that impedes firms’ ability to make production decisions.

Using unique data from 12 lenders, we examine how equity lending fees respond to demand shocks. We find that, when demand is moderate, fees are largely insensitive to demand shocks. However, at high demand levels, further increases in demand lead to significantly higher fees and the extent to which demand shocks impact fees is also related to search frictions in the loan market. Moreover, consistent with search models, we find significant dispersion in loan fees, with this dispersion increasing in loan scarcity and search frictions. Our findings imply that search frictions significantly impact short selling costs.

Passively managed index funds now hold over 30% of U.S. equity fund assets; this shift raises fundamental questions about monitoring and governance. We show that, relative to active funds, index funds are less effective monitors: (a) they are less likely to vote against firm management on contentious governance issues; (b) there is no evidence they engage effectively publicly or privately; and (c) they promote less board independence and worse pay-performance sensitivity at their portfolio companies. Overall, the rise of index funds decreases the alignment of incentives between beneficial owners and firm management and shifts control from investors to managers.

Short sellers face unique risks, such as the risk that stock loans become expensive and the risk that stock loans are recalled. We show that short-selling risk affects prices among the cross-section of stocks. Stocks with more short-selling risk have lower returns, less price efficiency, and less short selling.

U.S. equity exchanges have experienced a dramatic increase in competition from new entrants, resulting in the fragmentation of trading across venues. While market quality has generally improved over this period, we show most of the improvements have accrued to the largest stocks. We then show this bifurcation in market quality is related to the fragmentation of trading. Theoretically, more exchange competition should reduce trading costs, yet it may also increase adverse selection for liquidity providers, leading to higher spreads. We document evidence of both effects (fragmentation improves market quality for large stocks while small stocks experience relatively worse quality).

Firm-level variables that predict cross-sectional stock returns, such as price-to-earnings and short interest, are often averaged and used to predict market returns. Using various samples of cross-sectional predictors and accounting for the number of predictors and their interdependence, we find only weak evidence that cross-sectional predictors make good time-series predictors, especially out-of-sample. The results suggest that cross-sectional predictors do not generally contain systematic information.

Natural experiments are used in empirical research to make causal inferences. After a natural experiment is first used, other researchers often reuse the setting, examining different outcomes based on causal chain arguments. Using simulation evidence combined with two extensively studied natural experiments, business combination laws and the Regulation SHO pilot, we show that the repeated use of a natural experiment significantly increases the likelihood of false discoveries. To correct this, we propose multiple testing methods which account for dependence across tests and we show evidence of their efficacy.