Knowledge that Transforms

Homeowners insurance is central to managing the rising losses from climate‐related disasters. We show that insurance premiums are subject to starkly different regulations across states, creating persistent cross‐subsidies and price distortions. We employ states' regulatory rules in an instrumental variable estimation and a border discontinuity design to show insurers do not adjust rates in highly regulated states and compensate by raising rates in less regulated states. Rates and risks diverge in the long run, distorting cross‐state risk‐sharing and increasing insurer exits from highly regulated states. We argue these patterns stem from the interactions between rate regulation and insurers' financing constraints.

We introduce the concept of subtle discrimination —biased acts that cannot be objectively ascertained as discriminatory. When candidates compete for promotions by investing in skills, firms' subtle biases induce discriminated candidates to overinvest when promotions are low‐stakes (to distinguish themselves from favored candidates) but underinvest in high‐stakes settings (anticipating low promotion probabilities). This asymmetry implies that subtle discrimination raises profits in low‐productivity firms but lowers them in high‐productivity firms. Although subtle biases are small, they generate large gaps in skills and promotion outcomes. We derive further predictions in contexts such as equity analysis, lending, fund flows, banking careers, and entrepreneurial finance.

Borrowers' use of cashless payments improves their access to capital from FinTech lenders and predicts a lower probability of default. These relationships are stronger for cashless technologies providing more precise information, and for outflows. Cashless payment usage complements other signals of borrower quality. We rationalize these empirical findings using a framework in which borrowers signal their lower likelihood of diverting cash flows through payment technology choice, and screening accuracy is further strengthened by informational complementarities. The informational synergy we uncover provides a rationale for the joint rise of cashless payments and FinTech lending, as well as for open banking.

This paper studies whether social media sentiment predicts merger withdrawals. We find that a one‐standard‐deviation increase in social media sentiment after a merger announcement is associated with a 0.64 percentage point lower probability of withdrawal (16.6% of the average). This effect is unexplained by abnormal price reactions, traditional news, and analyst recommendations. Consistent with manager learning, the informativeness of social media strengthens after firms start corporate Twitter accounts. The informativeness is driven by longer acquisition‐related tweets by fundamental investors, rather than memes and price trend tweets. These findings suggest that social media signals can be important for corporate decisions.

We infer risk‐free rates from index option prices to estimate safe asset convenience yields in 10 G11 currencies. Countries' convenience yields increase with the level of their interest rates, with U.S. convenience yields fifth largest. During financial crises, convenience yields grow, but the difference between United States and foreign convenience yields generally does not. Covered interest parity (CIP) deviations using our option‐implied rates are a similar size between the United States and each other country. A model in which convenience yields depend on domestic financial intermediaries, but CIP deviations reflect the funding costs of international arbitrageurs financed with dollar‐denominated debt, explains these results.

We examine how digital disruption affects bank competition using the staggered rollout of 3G mobile networks. 3G expansion increased mobile banking adoption among tech‐savvy households, reducing branch networks—especially in younger counties. Banks' strategies diverged: Less branch‐reliant banks closed branches and competed on price, while more branch‐reliant banks maintained branches but raised spreads. A structural model shows that perceived digital service improvements among younger consumers drove these shifts, reducing welfare for older savers. Counterfactuals demonstrate that subsidizing adoption for older savers can cost‐effectively reduce these disparities, facilitating a smoother digital transition.

We find that long‐term institutional investors tilt their portfolios toward firms with better Environmental, Social, and Governance (ESG) profiles, in the cross sections of both institutional investor portfolios and the ownership of firms. We test whether several theoretically motivated mechanisms can explain this relationship. Our results that long‐term investors exhibit patience with firms around poor earnings announcements, but quickly sell portfolio firms after negative ES incidents, support the view that long‐ and short‐term investors evaluate information differently. Our evidence shows that limits‐to‐arbitrage play a role, as we find that investors' ESG tilt weakens following regulatory shocks that shorten their horizon.

The deposit franchise is valuable because banks pay below‐market deposit rates. However, if depositors leave, its value vanishes. This can trigger runs by uninsured depositors, even if banks hold fully liquid assets. Because the franchise value increases with interest rates, runs are more harmful, and hence likelier, when rates are high. Banks can deter runs by shortening asset duration, but this risks insolvency if rates fall. Avoiding both runs and insolvency requires capital covering the potential loss of the uninsured deposit franchise. We estimate deposit franchise values and use them to identify vulnerable banks during the 2023 regional bank crisis.