Using hand‐collected biographical information on financial analysts from 1983 to 2011, we find that analysts making forecasts on firms in industries related to their preanalyst experience have better forecast accuracy, evoke stronger market reactions to earning revisions, and are more likely to be named Institutional Investor all‐stars. Plausibly exogenous losses of analysts with related industry experience have real financial market implications—changes in firms’ information asymmetry and price reactions are significantly larger than those of other analysts. Overall, industry expertise acquired from preanalyst work experience is valuable to analysts, consistent with the emphasis placed on their industry knowledge by institutional investors.

We use institutional trading data to examine whether skilled institutions exploit positive abnormal ex‐dividend returns. Results show that institutions concentrate trading around certain ex‐dates, and earn higher profits around these events. Dividend capture trades represent 6% of all institutional buy trades but contribute 15% of overall abnormal returns. Institutional dividend capture trading is persistent. Institutional ex‐day profitability is also strongly cross‐sectionally related to trade execution skill. The relation between execution skill and profits disappears around placebo non‐ex‐days. Results suggest that skilled institutions target certain opportunities rather than benefiting uniformly over time. Furthermore, only skilled institutions can profit from dividend capture.

Managed portfolios that take less risk when volatility is high produce large alphas, increase Sharpe ratios, and produce large utility gains for mean‐variance investors. We document this for the market, value, momentum, profitability, return on equity, investment, and betting‐against‐beta factors, as well as the currency carry trade. Volatility timing increases Sharpe ratios because changes in volatility are not offset by proportional changes in expected returns. Our strategy is contrary to conventional wisdom because it takes relatively less risk in recessions. This rules out typical risk‐based explanations and is a challenge to structural models of time‐varying expected returns.

This paper develops a top‐down model of capital budgeting in which privately informed executives make investment choices that convey information to the firm's stakeholders (e.g., employees). Favorable information in this setting encourages stakeholders to take actions that positively contribute to the firm's success (e.g., employees work harder). Within this framework we examine how firms may distort their investment choices to influence the information conveyed to stakeholders and show that investment rigidities and overinvestment can arise as optimal investment distortions. We also examine investment distortions in multi‐divisional firms and compare such distortions to those in single‐division firms.

We document that a trading strategy that is short the U.S. dollar and long other currencies exhibits significantly larger excess returns on days with scheduled Federal Open Market Committee (FOMC) announcements. We show that these excess returns (i) are higher for currencies with higher interest rate differentials vis‐à‐vis the United States, (ii) increase with uncertainty about monetary policy, and (iii) increase further when the Federal Reserve adopts a policy of monetary easing. We interpret these excess returns as compensation for monetary policy uncertainty within a parsimonious model of constrained financiers who intermediate global demand for currencies.

We show that collateral constraints restrict firm entry and postentry growth, using French administrative data and cross‐sectional variation in local house‐price appreciation as shocks to collateral values. We control for local demand shocks by comparing treated homeowners to controls in the same region that do not experience collateral shocks: renters and homeowners with an outstanding mortgage, who (in France) cannot take out a second mortgage. In both comparisons, an increase in collateral value leads to a higher probability of becoming an entrepreneur. Conditional on entry, treated entrepreneurs use more debt, start larger firms, and remain larger in the long run.

We model fund turnover in the presence of time‐varying profit opportunities. Our model predicts a positive relation between an active fund's turnover and its subsequent benchmark‐adjusted return. We find such a relation for equity mutual funds. This time‐series relation between turnover and performance is stronger than the cross‐sectional relation, as the model predicts. Also as predicted, the turnover‐performance relation is stronger for funds trading less‐liquid stocks and funds likely to possess greater skill. Turnover is correlated across funds. The common component of turnover is positively correlated with proxies for stock mispricing. Turnover of similar funds helps predict a fund's performance.

Firm location affects firm risk through local factor prices. We find more procyclical factor prices such as wages and real estate prices in areas with more cyclical economies, namely, high “local beta” areas. While procyclical wages provide a natural hedge against aggregate shocks and reduce firm risk, procyclical prices of real estate, which are part of firm assets, increase firm risk. We confirm that firms located in higher local beta areas have lower industry‐adjusted returns and conditional betas, and show that the effect is stronger among firms with low real estate holdings. A production‐based equilibrium model explains these empirical findings.