Knowledge that Transforms

Abstract We study the personal credit market using unique individual-level data covering fintech and traditional lenders. We show that fintech lenders acquire market share by lending first to higher-risk borrowers and then to safer borrowers, and rely mainly on hard information to make credit decisions. Fintech borrowers are significantly more likely to default than neighbor individuals with the same characteristics borrowing from traditional financial institutions. Furthermore, they tend to experience a short-lived reduction in the cost of credit, because their indebtedness increases more than non-fintech borrowers after loan origination. However, fintech lenders’ pricing strategies are likely to take this into account.

Abstract 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.

Abstract 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.

Abstract 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.

Abstract 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.

Abstract 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.

Abstract This paper revisits the relationship between firm performance and CEO turnover. Instead of classifying turnovers into forced and voluntary, we introduce performance-induced turnover, defined as turnover that would not have occurred had performance been “good.” We document a close turnover-performance link and estimate that 38%–55% of turnovers are performance induced. This is significantly more than the number of forced turnovers, though the two types of turnovers are highly correlated. Compared to the predictions of Bayesian learning models, learning about CEO ability appears to be slow, and boards act as if CEO ability (or match quality) was subject to frequent shocks.

Abstract 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.