[Using a large sample of individual investor records over a nine-year period, we analyze survival rates, the disposition effect, and trading performance at the individual level to determine whether and how investors learn from their trading experience. We find evidence of two types of learning: some investors become better at trading with experience, while others stop trading after realizing that their ability is poor. A substantial part of overall learning by trading is explained by the second type. By ignoring investor attrition, the existing literature significantly overestimates how quickly investors become better at trading.]

We study the importance of trust in the investment advisory industry by exploiting the geographic dispersion of victims of the Madoff Ponzi scheme. Residents of communities that were exposed to the fraud subsequently withdrew assets from investment advisers and increased deposits at banks. Additionally, exposed advisers were more likely to close. Advisers who provided services that can build trust, such as financial planning advice, experienced fewer withdrawals. Our evidence suggests that the trust shock was transmitted through social networks. Taken together, our results show that trust plays a critical role in the financial intermediation industry.

[We show that familiarity affects the portfolio decisions of mutual fund managers. Controlling for fund location, funds overweight stocks from their managers' home states by 12% compared with their peers. In team-managed funds, home-state overweighting is 37% larger than the fund location effect. The home-state bias is stronger if the manager is inexperienced, is resource-constrained, or spent more time in his home state. Home-state stocks do not outperform other holdings, confirming that home-state investments are not informed. The overweighting also leads to excessively risky portfolios.]

Using a large sample of individual investor records over a nine-year period, we analyze survival rates, the disposition effect, and trading performance at the individual level to determine whether and how investors learn from their trading experience. We find evidence of two types of learning: some investors become better at trading with experience, while others stop trading after realizing that their ability is poor. A substantial part of overall learning by trading is explained by the second type. By ignoring investor attrition, the existing literature significantly overestimates how quickly investors become better at trading.

We show information spillovers limit the effectiveness of targeted debt relief programs. We study individuals who learn about the likelihood of debt relief from the recent experiences of workplace peers filing for bankruptcy protection. Peers granted bankruptcy can discharge debts, while peers facing dismissal lose all protections. Exploiting the random assignment of judges to bankruptcy cases, we determine that individuals with a “dismissed peer” are significantly less likely to file for bankruptcy or enter foreclosure. We highlight a novel channel relating social networks to household finances and identify additional costs of granting individual debt relief imposed on lenders.

We investigate the importance of client relationships in the financial advisory industry. We exploit firm-level variation in adoption of the Broker Protocol, which enabled clients to follow their advisers to member firms without fear of litigation. We show that advisers’ ability to maintain client relationships is a significant predictor of their employment decisions; that about 40% of client assets follow advisers when they move; and that once clients are “unlocked,” firms become less willing to fire advisers for misconduct. Firms that unlock their clients subsequently experience higher levels of misconduct and increase their fees, calling into question whether clients are better off.

We study the importance of trust in the investment advisory industry by exploiting the geographic dispersion of victims of the Madoff Ponzi scheme. Residents of communities that were exposed to the fraud subsequently withdrew assets from investment advisers and increased deposits at banks. Additionally, exposed advisers were more likely to close. Advisers who provided services that can build trust, such as financial planning advice, experienced fewer withdrawals. Our evidence suggests that the trust shock was transmitted through social networks. Taken together, our results show that trust plays a critical role in the financial intermediation industry. Received April 18, 2016; editorial decision March 8, 2017 by Editor Robin Greenwood.

We show that familiarity affects the portfolio decisions of mutual fund managers. Controlling for fund location, funds overweight stocks from their managers' home states by 12% compared with their peers. In team-managed funds, home-state overweighting is 37% larger than the fund location effect. The home-state bias is stronger if the manager is inexperienced, is resource-constrained, or spent more time in his home state. Home-state stocks do not outperform other holdings, confirming that home-state investments are not informed. The overweighting also leads to excessively risky portfolios.

We develop a general equilibrium model of asset prices in which benefits of technological innovation are distributed asymmetrically. Financial market participants do not capture all economic gains from innovation even when they own shares in innovating firms. Such gains accrue partly to the innovators, who cannot sell claims on proceeds from their future ideas. We show how the resulting inequality among agents can give rise to a high risk premium on the aggregate stock market, return comovement and average return differences among firms, and the failure of traditional representative agent asset pricing models to account for cross-sectional differences in risk premia.