Knowledge that Transforms

ABSTRACT Theories of competition typically predict a positive relationship between market concentration and prices. However, in loan markets, adverse selection can reverse this relationship as riskier borrowers become more likely to receive funding. Using supervisory data, we show that interest rates, borrower risk, and lending volume are higher in markets with more banks. We also create a novel measure of markup that is orthogonal to borrower risk, and find that, consistent with adverse selection, markups are higher after repeated borrowing relationships. Finally, we use a shock to large banks' lending costs to provide further support for the adverse selection channel.

ABSTRACT We show that FX interventions can be effective, particularly in attenuating global financial spillovers. We exploit global financial shocks and Brazilian central bank interventions in FX derivatives using three matched administrative registers: bank credit (to firms), foreign credit to banks, and employer‐employees. After the U.S. Taper Tantrum (followed by emerging markets' FX turbulence), Brazilian banks with more foreign debt cut credit supply, reducing firm‐level employment. A subsequent large policy intervention supplying derivatives against FX risks — hedger of last resort — halved the negative effects. A 2008 to 2015 panel exploiting global FX shocks and local FX interventions confirms the results and the hedging channel. However, the FX policy entails fiscal and moral hazard costs.

ABSTRACT We examine optimal capital requirements in a quantitative general equilibrium model with banks exposed to nondiversifiable borrower default risk. Contrary to standard models of bank default risk, our framework captures the limited upside, but significant downside risk of loan portfolio returns. This helps to reproduce the frequency and severity of twin defaults : simultaneously high firm and bank defaults. Hence, the optimal bank capital requirement, which trades off a lower frequency of twin defaults against restricting credit provision, is higher than under default risk models which underestimate the impact of borrower default on bank solvency.

ABSTRACT Using proprietary transaction‐level data on nonsyndicated construction loans, we provide some of the first empirical evidence on the drivers and consequences of bank monitoring through on‐site inspections. Banks trade off monitoring intensity with favorable origination terms. Monitoring intensity escalates in response to local economic downturns or the bank's financial instability. Borrowers with negative inspection reports have more draw requests denied, suggesting that monitoring outcomes impact credit decisions. Both the occurrence and threat of increased inspection frequency correspond to reduced defaults. Overall, our results provide empirical support for a substantial body of theoretical literature on bank monitoring.

ABSTRACT Using data on Internet news reading, we measure fund‐level attention to both aggregate and firm‐specific news and relate it to fund portfolio allocation decisions. In the time series, we find that funds shift attention toward macroeconomic news during periods of high aggregate volatility. Those funds that exhibit stronger attention‐reallocation patterns earn higher future returns. In the cross‐section of fund portfolios, fund attention is positively related to stock holdings. Furthermore, fund attention to a stock increases the value‐add of that position to the fund's performance. This relationship is stronger using fund attention to more value‐relevant news articles.

ABSTRACT The impact of uncertainty shocks on firm‐level economic activity depends on their origin in supply chains. Upstream (downstream) uncertainty from suppliers (customers) is associated with variability over future input (output) prices. Consequently, a real‐option production model with time‐to‐build suggests that only upstream uncertainty suppresses investment, since upstream (downstream) uncertainty affects the shorter (longer) run. Production network data show that upstream uncertainty negatively affects firm‐level outcomes. Conversely, downstream uncertainty affects firm‐level outcomes more weakly but positively. At the macro level, these two uncertainties oppositely predict aggregate growth and asset prices. Overall, downstream uncertainty has an expansionary effect, in contrast to other facets of uncertainty.

ABSTRACT 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.

ABSTRACT 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.

ABSTRACT 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.

ABSTRACT 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.