Do limitations on commissions paid to financial advisers reduce prices of financial products and stimulate investment? I examine these questions by estimating the causal effects of regulating commissions for mutual fund distribution. I exploit the unique institutional setting in Israel and the 2013 policy change when the government reduced commissions differently for different fund types. The reform led to a major decline in fund expense ratios and a consequent increase in fund flows. Funds with price-sensitive investors experienced 35% larger inflows. I interpret these results as investor responses to price competition fostered by a reduction in distribution costs.

We find that short sellers manage risks by strategically borrowing shares in stocks with significant ownership by passive investors. This practice increases securities lending demand for stocks with substantial passive ownership, resulting in improved price efficiency, higher lending fees, and increased short interest in these stocks. Consistent with the risk mitigation motive, these stocks show reduced risks of unexpected fee hikes and loan recall, longer loan durations, and attract more informed short sellers. These effects are particularly pronounced in hard-to-borrow stocks where short-sale constraints are binding. Our study suggests that passive investing helps alleviate short-sale constraints by reducing the risks associated with stock borrowing.

We investigate how access to robo-advisors impacts the financial investment and welfare of less-wealthy investors. We leverage a quasi-experiment where a major U.S. robo-advisor significantly expands access by reducing its account minimum, increasing participation by middle-class investors but not the poor. A benchmark model calibrated to portfolio-level data rationalizes this increase: middle-class investors want sophisticated investing but cannot achieve it themselves. Their welfare rises moderately, driven by advanced features like multi-dimensional glide-paths and additional priced risk factors. Middle-age investors gain three times more than millennials. Our results reveal novel margins of demand for robo-advisors, helping explain their sustained growth.

We examine how team allocation shapes mutual fund managers’ compensation as well as their future productivity and careers. Assignment to a high-quality team lowers immediate compensation but accelerates career development—sharpening investment skill, boosting media visibility, deepening industry and style specialization, and raising future revenue. Team quality also raises promotion odds and explains the steep, tenure-based earnings profile common in asset management. Team allocation therefore acts as a career-steering mechanism embedded in fund-family compensation contracts.

We examine how investor demand for leverage shapes asset management fees. We show that in the sample of U.S. equity mutual funds: (1) fees increase in fund market beta precisely for beta larger than one; (2) this relation becomes stronger and high-beta funds experience larger inflows when leverage constraints tighten; and (3) low net alphas are especially common among high-beta funds. These results are consistent with a model in which asset managers compete for leverage-constrained investors with heterogeneous risk aversion. The asymmetric relation between betas and fees also extends to the HML and SMB factors.

This paper examines the role of investments by angel groups across a heterogeneous set of 21 countries with varying entrepreneurship ecosystems. Exploiting quasi-random assignment of deals around the groups’ funding thresholds, we find a positive impact of funding on firm growth, performance, survival, and follow-on fundraising, which is independent of the level of venture activity and entrepreneur-friendliness in the country. However, the maturity of startups that apply for funding (and are ultimately funded) inversely correlates with the entrepreneurship-friendliness of the country. This may reflect self-censoring by early-stage firms that do not expect to receive funding in these environments.