Knowledge that Transforms

Abstract Stock prices aggregate investor information about investment opportunities and reflect managerial performance. These dual roles may be in tension: when prices are more informative about investment opportunities, they may be less effective at incentivizing managerial effort. This tradeoff has novel consequences. Lower information costs can lead to both more efficient investment but lower firm value. The principal may strictly prefer to delegate investment to a manager who has no informational advantage and makes ex-post inefficient choices. Investment in diversifying and (ex-ante) negative NPV projects mitigate agency problems. Finally, standard measures of price efficiency provide an incomplete picture of firm value.

Abstract Corporate bonds include restrictive covenants that may prevent firms from pursuing valuable growth opportunities ex post and are virtually impossible to renegotiate. We study a common but little-known contractual provision—the defeasance option—which allows issuers to immediately remove all covenants without retiring the bond. Our theoretical model predicts, and our empirical analysis confirms, that defeasance inclusion is more likely when covenants are numerous and issuers face financial constraints, uncertainty, and growth opportunities. We also show that investors require lower yields when defeasance is included in noncallable bonds, and higher yields in fixed-price callable bonds, where it raises call risk.

Abstract Analyzing approximately 2,000 applicants to a U.K. seed fund, this study examines how venture capital (VC) due diligence affects startup outcomes independent of funding decisions. Leveraging random reviewer assignment, we find that due diligence increases 2-year growth but lowers continuation rates among nonfunded applicants, reflecting a dynamic of accelerated scaling or exit. Evidence points to a learning mechanism: due diligence exposes founders to advanced website technologies, prompting capability building in digital skills. Firms selected for due diligence adopt these technologies, even before raising external capital. The findings highlight VC due diligence as a formative process influencing startups beyond the funded few.

Abstract We document that firms exhibit “excess” commitment to R&D projects and examine its consequences for innovation outcomes. Using detailed data on pharmaceutical firms’ clinical trial projects, we find that trial delays, empirically uncorrelated with multiple project-quality measures, substantially reduce firms’ subsequent project-termination propensity. This result remains robust when we use variation in clinical trial site congestion to instrument for unexpected delays. Excess commitment intensifies when CEO compensation has greater stock-price sensitivity and the CEO is responsible for the project’s initiation. Our findings have broader implications: delay-driven commitment reduces new drug project initiations, with further evidence suggesting efficiency losses for firms.

Abstract We find widespread evidence that firms avoid overtime payments by strategically assigning “managerial” titles. Exploiting the exemption threshold under the Fair Labor Standards Act (FLSA), we find managerial titles increase almost fivefold just above the overtime pay cutoff, including suspect listings, such as “Director of First Impressions” for a role equivalent to “Front-Desk Clerk.” Avoidance is higher when firms have more bargaining power and are financially constrained. It is also more common in occupations with volatile demand and unpredictable worker scheduling. Patterns align with litigation and Department of Labor enforcement. Firms avoid roughly 13.5% in compensation costs, hiring strategic “managers.”

Abstract This paper studies how a borrower issues long- and short-term debt in response to shocks to the fundamental value. Short-term debt protects creditors from future dilution and incentivizes the borrower to reduce leverage after small negative shocks. Long-term debt postpones default and allows the borrower time to recover after large negative shocks. When borrowers are in distress, they rely on short-term debt; however, they issue both types of debt during more normal periods. Our model generates novel implications for the dynamic adjustment of debt maturities.

Abstract We propose that investment strategies should be evaluated based on their net-of-trading-cost return for each level of risk, which we term the “implementable efficient frontier.” While numerous studies use machine learning return forecasts to generate portfolios, their agnosticism toward trading costs leads to excessive reliance on fleeting small-scale characteristics, resulting in poor net returns. We develop a framework that produces a superior frontier by integrating trading-cost-aware portfolio optimization with machine learning. The superior net-of-cost performance is achieved by learning directly about portfolio weights using an economic objective. Further, our model gives rise to a new measure of “economic feature importance.”

Abstract Investors face reduced incentives to finance technological change that devalues their legacy investments. We formalize this “asset overhang” and apply our framework to the climate-banking nexus. Leveraging (1) firm-level data on green innovation and diffusion and (2) the sets of product and technology market peers, we implement a shift-share design that identifies banks’ credit facilities impacted by green firm activities. We find that green firms imposing an asset overhang across all lenders are 3 to 7 percentage points more likely to report tight credit supply conditions. The presence of legacy-free investors mitigates the asset overhang problem, thereby facilitating technological change.

Abstract We document that judges’ political affiliations are strongly associated with the level of judicial penalties levied against companies. For example, Republican-appointed judges impose larger fines for hiring illegal immigrants, while Democrat-appointed judges impose larger fines for pollution- and environment-related violations. Time-series variation suggests that political partisanship, not fixed ideological differences, drives these findings. The differences become amplified when higher-court judicial vacancies exist and in the months before national elections. Our findings highlight the importance of political polarization for U.S. companies and illustrate how judicial composition can affect firms’ incentive to avoid violating laws connected to partisan issues.