Knowledge that Transforms

This paper theoretically and empirically investigates the effects of liquidity regulation on the banking system. We document that the current quantity-based liquidity rule has reduced banks' liquidity risks. However, the mandated liquidity buffer appears to crowd out bank lending and lead to a migration of liquidity risks to banks that are not subject to liquidity regulation. These findings motivate a model of liquidity regulation with endogenous liquidity premiums and heterogeneous banks. The model shows that the current liquidity rule can improve upon the unregulated equilibrium but can also have distortionary effects because of the dual role of the liquidity buffer as an implicit tax and a costly mitigator of liquidity risks. The fixed quantity mandate can interact with the uncertain liquidity demand, amplifying the volatility in the liquidity premium. A central bank committed liquidity facility could improve the current quantity-based regulation by introducing a price-based mechanism.

This paper studies how tightening monetary policy transmits to the economy through the mortgage market and sheds new light on the distributional consequences at both individual and regional levels. We specifically examine the sharp increase in mortgage interest rates during 2022 and 2023. We find that almost all of the decline in mortgages compared to prior years was concentrated in loans that would have had a debt-to-income (DTI) ratio above underwriting thresholds. These effects are even more pronounced for minority and middle-income borrowers. Additionally, regions more affected by the thresholds exhibited greater reductions in mortgage originations, house prices , and consumption.

This paper studies bank antitrust rules which discontinuously shift bank mergers' competitive impact. The likelihood of mandatory divestiture rises sharply for mergers in markets above a threshold level of concentration, leading to an increase in the number of banks in these markets. Consistent with greater competition, intervention leads to higher deposit rates. Mortgage originations rise by 11%, from both refinancing and purchases. However, small business loan quantities do not change. The effects of intervention do not dissipate over time, and nonbank lenders respond similarly to banks. Overall, antitrust rules can increase bank competition, but relationships protect banks from competitors.

We examine the pricing of sustainability-linked bonds (SLBs), where the cash flows depend on the bond issuer achieving one or more Environmental, Social and Governance (ESG) goals. Investors are willing to accept a 1–2bps lower yield due to the bond’s ESG label, providing evidence of investors caring about environmental impact. Furthermore, we find the average probability of missing the target is 14%–39% so firms set ESG targets that are easy to reach. We find that the SLB market is efficient: the prices of SLBs depend strongly on the size of the potential penalty and there is no evidence of mispricing. Finally, our results suggest that SLBs serve as financial hedges against ESG risk.

We study the use and economic impact of AI technologies. We propose a new measure of firm-level AI investments using employee resumes. Our measure reveals a stark increase in AI investments across sectors. AI-investing firms experience higher growth in sales, employment, and market valuations. This growth comes primarily through increased product innovation. Our results are robust to instrumenting AI investments using firms' exposure to universities' supply of AI graduates. AI-powered growth concentrates among larger firms and is associated with higher industry concentration. Our results highlight that new technologies like AI can contribute to growth and superstar firms through product innovation.

We show that trade credit flows increase when a firm in a production network becomes a less reliable supplier due to an operating shock. Affected firms extend more trade credit when their customers have lower switching costs or expect more disruption. Suppliers that are more dependent on the affected firms facilitate the trade credit extension. However, when financial constraints at the affected firms and their suppliers prevent the increase in trade credit, customers sever their relationships with the affected firms, and the sales of the affected firms and their suppliers drop, suggesting that trade credit enhances production network stability.

In canonical models of investment dynamics under uncertainty, “time-to-build” in investment decisions implies that uncertainty negatively impacts firm values and aggregate capital productivity. However, capital budgeting, which involves ex-ante information acquisition and state-contingent investment decisions, can potentially ameliorate time-to-build frictions. Reduced-form evidence using firm-level data on sales and investment expectations and errors supports both mechanisms. Incorporating capital budgeting into a standard investment model, our calibrated model reveals that state-contingent investment planning and information acquisition reduce aggregate productivity losses by 41% and 17%, respectively. Moreover, gains from planning accrue primarily to less productive firms, while information acquisition benefits higher productivity ones.

Since January 2014, the U.S. Treasury has been issuing floating rate notes (FRNs). These notes pay quarterly interest based on an average of the constant maturity rates of newly issued three-month T-bills during the quarter. We show how to price such FRNs. We estimate that they have been paying excess interest between 3 and 42 basis points above the implied interest of other Treasury securities. We interpret this fact through the lens of a model where money-like assets differ in their degrees of moneyness. Additional empirical evidence supports this interpretation.

We demonstrate that a financial intermediary-based asset pricing model offers a compelling explanation for a new set of conditional moments of equity term structure and convenience yields. The model’s key mechanism is that the time-varying tightness of intermediaries’ leverage constraints drives significant mean reversion in the price of risk. This model guides us in devising a novel empirical methodology to estimate the tightness of these constraints (i.e., the Relative Tightness Index) from cross-sectional returns of various asset classes. Our findings affirm that this measure significantly drives the dynamics of equity yield slope and convenience yields, both empirically and quantitatively.

We show that the performance of the new factor models of Hou et al. (2015) and Fama and French (2015) depends crucially on how their investment factor is constructed. Both models use growth in total assets to measure investment. Their ability to price the cross-section of returns decreases significantly when the investment factor is constructed using traditional investment measures, or measures that also account for investment in intangibles. In contrast, we find that factors based on growth in inventory and accounts receivable contain the bulk of the pricing information in the asset growth factor. We show evidence that the superior performance of the asset growth factor seems to be attributable to its ability to capture aggregate shocks to equity financing costs.