I show that the composition of the financial sector has important asset pricing implications beyond the health of the aggregate financial sector. To assess the impact of massive balance sheet adjustments within the intermediary sector during the Great Recession and resolve conflicting asset pricing evidence, I propose a dynamic asset pricing model with heterogeneous intermediaries facing financial frictions. Asset flows between intermediaries are quantitatively important for both the level of and variation in the risk premium. An empirical measure of the composition of the intermediary sector negatively forecasts future excess returns and is priced in the cross-section with a positive price of risk.

How much do students benefit from student loan subsidies? We investigate this question, exploiting a natural experiment: a demand shock due to the 2011 tightening of credit standards in the PLUS program. We first establish that the Bennett hypothesis is best explained by colleges charging large markups over their marginal costs, rather than by advantageous selection. Then we use our results to estimate that students plausibly capture less than 60 cents of each dollar of resources expended on loan subsidies. We discuss alternative approaches that would more directly benefit students.

We study how state pension windfalls affect property prices near state borders, where theory suggests real estate reflects the value of additional public resources. Windfalls, representing a source of state revenue about half the size of total taxes, provide economically significant and plausibly exogenous variation in fiscal conditions. We find that each dollar of pension asset returns increases border house prices by approximately two dollars, suggesting that governments allocate additional funds towards high-value projects or tax abatement rather than wasting incremental resources. Evidence of larger effects in financially constrained municipalities highlights how fiscal resources amplify welfare effects of economic shocks.

Customers in over‐the‐counter (OTC) markets must find a counterparty to trade. Little is known about this process, however, because existing data consist of transaction records, which only reveal the outcome of a search. Using data from a trading platform for corporate bonds, we unpack the search process. We analyze how long it takes customers to trade and how dealers' offers evolve across repeated inquiries. We estimate that it takes two to three days to complete a transaction after an unsuccessful attempt, with substantial variation across trade and customer characteristics. Our analysis offers insights into the sources of trading delays in OTC markets.

Classical asset pricing models predict that optimizing investors exhibit extremely high demand elasticities, while empirical estimates are significantly lower—by three orders of magnitude. To reconcile this disparity, we introduce a novel decomposition of investor demand elasticity into two key components: “price pass-through”, which captures how price movements forecast returns, and “unspanned returns”, reflecting a stock’s lack of perfect substitutes. In a factor model framework, we show that unspanned returns become significant when models include “weak factors”. Classical models overestimate demand elasticity by assuming both very low unspanned returns and high price pass-throughs, assumptions that are inconsistent with empirical evidence.

Fluctuations in investor demand significantly affect firms’ valuation and access to capital. To quantify their real effects, we develop a dynamic investment model, incorporating both the demand and supply sides of capital. Strong investor demand relaxes financial constraints and facilitates equity issuance and investment, while weak demand encourages opportunistic share repurchases, crowding out investment. We estimate the model using indirect inference, matching the endogenous relationship between investor demand and firm policies. Our estimation reveals that demand fluctuations are important drivers of firm-level investment and economy-wide capital misallocation, accounting for 26.9% of dispersion in MPK and 23.4% of productivity losses.

We study liquidity conditions in the corporate bond market during the COVID-19 pandemic. We document that the cost of trading immediately via risky-principal trades dramatically increased at the height of the sell-off, forcing customers to shift toward slower agency trades. Exploiting eligibility requirements, we show that the Federal Reserve’s corporate credit facilities have had a positive effect on market liquidity. A structural estimation reveals that customers’ willingness to pay for immediacy increased by about 200 bps per dollar of transaction, but quickly subsided after the Fed announced its interventions. Dealers’ marginal cost also increased substantially but did not fully subside.