Knowledge that Transforms

Rank-and-file employees are becoming increasingly critical for many firms, yet we know little about how their employment dynamics matter for stock prices. We analyze new data from the individual CV’s of public company employees and find that rank-and-file labor flows can be used to predict abnormal stock returns. Accounting data and survey evidence indicate that workers’ labor market decisions reflect information about future corporate earnings. Investors, however, do not appear to fully incorporate this information into their earnings expectations. The findings support the hypothesis that rank-and-file employees’ entry and exit decisions reveal valuable insights into their employers’ future stock performance.

The informativeness principle states that a contract should depend on informative signals. This paper studies how it should do so. Signals indicating that the output distribution has shifted to the left (e.g., weak industry performance) reduce the threshold for the manager to be paid; those indicating that output is a precise measure of effort (e.g., low volatility) decrease high thresholds and increase low thresholds. Surprisingly, “good” signals of performance need not reduce the threshold. Applying our model to performance-based vesting, we show that performance measures should affect the strike price, rather than the number of vesting options, contrary to practice.

An artist’s death constitutes a negative shock to his future production; death permanently decreases the artist’s float. We use this shock to test predictions of speculative trading models with short-selling constraints. As predicted in our model, we find that an artist’s premature death leads to a permanent increase in prices and turnover; this effect being larger for more famous artists. We document that premature death increases prices (by 54.7%) and secondary market volume (by 63.2%).

Using a quantitative theoretical framework this paper analyzes how problems of self-control influence housing and mortgage decisions. The results show that people with stronger problems of self-control are less likely to become homeowners, even though houses serve as commitment for saving. The paper then investigates the welfare effects of regulating mortgage products if people differ in their degree of self-control. Holding house prices fixed, higher down payment requirements and restrictions on refinancing turn out to be beneficial to people with sufficiently strong problems of self-control, even though these policies restrict access to the commitment device.

We study an economy’s response to an unexpected epidemic. The spread of the disease can be mitigated by reducing consumption and hours worked in the office. Working from home is subject to learning-by-doing. Private agents’ rational incentives are relatively weak and fatalistic. The planner recognizes infection and congestion externalities and implements front-loaded mitigation. Under our calibration, the planner reduces cumulative fatalities by 48% compared to 24% by private agents, although with a sharper drop in consumption. Our model can replicate key industry and/or occupational-level patterns and explain how large variations in outcomes across regions can stem from small initial differences.

We provide evidence that culture is a source of pricing bias. In a sample of 1.9 million auction transactions in 49 countries, paintings by female artists sell at an unconditional discount of 42.1%. The gender discount increases with measures of country-level gender inequality—even in artist fixed effects regressions. Our results are robust to accounting for potential gender differences in art characteristics and their liquidity. Evidence from two experiments supports the argument that women’s art may sell for less because it is made by women. However, the gender discount reduces over time as gender equality increases.

There is a discrepancy between CAPM-implied and realized returns. Using the CAPM in capital budgeting—as recommended in textbooks—should thus have real effects. For instance, low beta projects should be valued more by CAPM users than by the market. We test this hypothesis using M&A data and show that bids for low-beta private targets entail lower bidder returns. We provide further support by testing several ancillary predictions. Our analyses suggest that using the CAPM when valuing targets leads to valuation errors (relative to the market’s view) corresponding on average to 12% to 33% of the deal values.

This paper documents a link between bank concentration and markups in nonfinancial sectors. We exploit concentration-increasing bank mergers and variation in banks’ market shares across industries and show that higher credit concentration is associated with higher markups and that high-market-share lenders charge lower loan rates. We argue that this is due to the greater incidence of competing firms sharing common lenders that induce less aggressive product market behavior among their borrowers, thereby internalizing potential adverse effects of higher rates. Consistent with our conjecture, the effect is stronger in industries with competition in strategic substitutes where negative product market externalities are greatest.

This paper isolates the causal impact of neighborhood environment on the credit outcomes of low-income borrowers by analyzing the participants of the Moving to Opportunity (MTO) experiment. MTO was a unique, large-scale experiment that offered families vouchers to move to better neighborhoods via randomized lottery. We find higher credit scores and use among those required to move to the lowest poverty areas as young children. For those who moved as adults, we find that better neighborhoods lead to a reduction of overdue debts and delinquencies, but only among those given unrestricted neighborhood choice.

We use brokerage account records to study trading during the Chinese put warrants bubble and find evidence consistent with extrapolative theories of speculative asset price bubbles. We identify the event that started the bubble and show that investors engaged in a form of feedback trading based on their own past returns. The interaction of feedback trading with the precipitating event caused additional buying and price increases in a feedback loop, and estimates of the trading volume due to this mechanism explain prices and returns during the bubble.