Knowledge that Transforms

We study information acquisition and dynamic withdrawal decisions when a spreading rumor exposes a solvent bank to a run. Uncertainty about the bank's liquidity and potential failure motivates depositors who hear the rumor to acquire additional noisy signals. Depositors with less informative signals may wait before gradually running on the bank, leading to an endogenous aggregate withdrawal speed and bank survival time. Private information acquisition about liquidity can subject solvent‐but‐illiquid banks to runs, and shorten the survival time of failing banks. Public provision of solvency information can mitigate runs by indirectly crowding‐out individual depositors' effort to acquire liquidity information.

We show that collateral plays an important role in the design of debt contracts, the provision of credit, and the incentives of lenders to monitor borrowers. Using a unique data set from a large bank containing timely assessments of collateral values, we find that the bank responded to a legal reform that exogenously reduced collateral values by increasing interest rates, tightening credit limits, and reducing the intensity of its monitoring of borrowers and collateral, spurring borrower delinquency on outstanding claims. We thus explain why banks are senior lenders and quantify the value of claimant priority.

During 2005 to 2007, the SEC ordered a pilot program in which one‐third of the Russell 3000 index were arbitrarily chosen as pilot stocks and exempted from short‐sale price tests. Pilot firms’ discretionary accruals and likelihood of marginally beating earnings targets decrease during this period, and revert to pre‐experiment levels when the program ends. After the program starts, pilot firms are more likely to be caught for fraud initiated before the program, and their stock returns better incorporate earnings information. These results indicate that short selling, or its prospect, curbs earnings management, helps detect fraud, and improves price efficiency.

We identify retail brokers that seemingly route orders to maximize order flow payments, by selling market orders and sending limit orders to venues paying large liquidity rebates. Angel, Harris, and Spatt argue that such routing may not always be in customers’ best interests. For both proprietary limit order data and a broad sample of trades from TAQ, we document a negative relation between several measures of limit order execution quality and rebate/fee level. This finding suggests that order routing designed to maximize liquidity rebates does not maximize limit order execution quality and thus brokers cannot have it all.

We show that unpriced cash flow shocks contain information about future priced risk. A positive idiosyncratic shock decreases the sensitivity of firm value to priced risk factors and simultaneously increases firm size and idiosyncratic risk. A simple model can therefore explain book‐to‐market and size anomalies, as well as the negative relation between idiosyncratic volatility and stock returns. Empirically, we find that anomalies are more pronounced for firms with high idiosyncratic cash flow volatility. More generally, our results imply that any economic variable correlated with the history of idiosyncratic shocks can help to explain expected stock returns.

This study examines whether the standard compensation contract in the hedge fund industry aligns managers’ incentives with investors’ interests. I show empirically that managers’ compensation increases when fund assets grow, even when diseconomies of scale in fund performance exist. Thus, managers’ compensation is maximized at a much larger fund size than is optimal for fund performance. However, to avoid capital outflows, managers are also motivated to restrict fund growth to maintain style‐average performance. Similarly, fund management firms have incentives to collect more capital for all funds under management, including their flagship funds, even at the expense of fund performance.

This paper characterizes U.S. consumption dynamics from the perspective of a Bayesian agent who does not know the underlying model structure but learns over time from macroeconomic data. Realistic, high‐dimensional macroeconomic learning problems, which entail parameter, model, and state learning, generate substantially different subjective beliefs about consumption dynamics compared to the standard, full‐information rational expectations benchmark. Beliefs about long‐run dynamics are volatile, with counter‐cyclical conditional volatility, and drift over time. Embedding these beliefs in a standard asset pricing model significantly improves the model's ability to match the stylized facts, as well as the sample path of the market price‐dividend ratio.

This paper investigates whether mutual fund families acting as service providers in 401(k) plans display favoritism toward their own affiliated funds. Using a hand‐collected data set on the menu of investment options offered to plan participants, we show that fund deletions and additions are less sensitive to prior performance for affiliated than unaffiliated funds. We find no evidence that plan participants undo this affiliation bias through their investment choices. Finally, we find that the subsequent performance of poorly performing affiliated funds indicates that this favoritism is not information driven.

Prior studies find that a strategy that buys high‐beta stocks and sells low‐beta stocks has a significantly negative unconditional capital asset pricing model (CAPM) alpha, such that it appears to pay to “bet against beta.” We show, however, that the conditional beta for the high‐minus‐low beta portfolio covaries negatively with the equity premium and positively with market volatility. As a result, the unconditional alpha is a downward‐biased estimate of the true alpha. We model the conditional market risk for beta‐sorted portfolios using instrumental variables methods and find that the conditional CAPM resolves the beta anomaly.

Using exogenous liquidity windfalls from oil and natural gas shale discoveries, we demonstrate that bank branch networks help integrate U.S. lending markets. Banks exposed to shale booms enjoy liquidity inflows, which increase their capacity to originate and hold new loans. Exposed banks increase mortgage lending in nonboom counties, but only where they have branches and only for hard‐to‐securitize mortgages. Our findings suggest that contracting frictions limit the ability of arm's length finance to integrate credit markets fully. Branch networks continue to play an important role in financial integration, despite the development of securitization markets.