Knowledge that Transforms

We study capital allocations to managers with two mutual funds, and show that investors learn about managers from their performance records. Flows into a fund are predicted by the manager's performance in his other fund, especially when he outperforms and when signals from the other fund are more useful. In equilibrium, capital should be allocated such that there is no cross‐fund predictability. However, we find positive predictability, particularly among underperforming funds. Our results are consistent with incomplete learning: while investors move capital in the right direction, they do not withdraw enough capital when the manager underperforms in his other fund.

Derivatives activity, motivated by risk‐sharing, can breed risk‐taking. Bad news about the risk of an asset underlying a derivative increases protection sellers' expected liability and undermines their risk‐prevention incentives. This limits risk‐sharing, creates endogenous counterparty risk, and can lead to contagion from news about the hedged risk to the balance sheet of protection sellers. Margin calls after bad news can improve protection sellers' incentives and in turn enhance risk‐sharing. Central clearing can provide insurance against counterparty risk but must be designed to preserve risk‐prevention incentives.

Standard representative‐agent models fail to account for the weak correlation between stock returns and measurable fundamentals, such as consumption and output growth. This failing, which underlies virtually all modern asset pricing puzzles, arises because these models load all uncertainty onto the supply side of the economy. We propose a simple theory of asset pricing in which demand shocks play a central role. These shocks give rise to valuation risk that allows the model to account for key asset pricing moments, such as the equity premium, the bond term premium, and the weak correlation between stock returns and fundamentals.

We use a quasi‐experimental research design to examine the effect of model‐based capital regulation on the procyclicality of bank lending and firms' access to funds. In response to an exogenous shock to credit risk in the German economy, capital charges for loans under model‐based regulation increased by 0.5 percentage points. As a consequence, banks reduced the amount of these loans by 2.1 to 3.9 percentage points more than for loans under the traditional approach with fixed capital charges. We find an even stronger effect when we examine aggregate firm borrowing, suggesting that microprudential capital regulation can have sizeable real effects.

I exploit the adoption of state‐level labor protection laws as an exogenous increase in employee firing costs to examine how the costs associated with discharging workers affect capital structure decisions. I find that firms reduce debt ratios following the adoption of these laws, with this result stronger for firms that experience larger increases in firing costs. I also document that, following the adoption of these laws, a firm's degree of operating leverage rises, earnings variability increases, and employment becomes more rigid. Overall, these results are consistent with higher firing costs crowding out financial leverage via increasing financial distress costs.

We study the out‐of‐sample and post‐publication return predictability of 97 variables shown to predict cross‐sectional stock returns. Portfolio returns are 26% lower out‐of‐sample and 58% lower post‐publication. The out‐of‐sample decline is an upper bound estimate of data mining effects. We estimate a 32% (58%–26%) lower return from publication‐informed trading. Post‐publication declines are greater for predictors with higher in‐sample returns, and returns are higher for portfolios concentrated in stocks with high idiosyncratic risk and low liquidity. Predictor portfolios exhibit post‐publication increases in correlations with other published‐predictor portfolios. Our findings suggest that investors learn about mispricing from academic publications.

I provide evidence that stocks experiencing unusually low trading volume over the week prior to earnings announcements have more unfavorable earnings surprises. This effect is more pronounced among stocks with higher short‐selling constraints. These findings support the view that unusually low trading volume signals negative information, since, under short‐selling constraints, informed agents with bad news stay by the sidelines. Changes in visibility or risk‐based explanations are insufficient to explain the results. This evidence provides insights into why unusually low trading volume predicts price declines.

We develop a model of performance evaluation and fund flows for mutual funds in a family. Family performance has two effects on a member fund's estimated skill and inflows: a positive common‐skill effect, and a negative correlated‐noise effect. The overall spillover can be either positive or negative, depending on the weight of common skill and correlation of noise in returns. Its absolute value increases with family size, and declines over time. The sensitivity of flows to a fund's own performance is affected accordingly. Empirical estimates of fund flow sensitivities show patterns consistent with rational cross‐fund learning within families.

We propose a labor market model in which financial firms compete for a scarce supply of workers who can be employed as either bankers or traders. While hiring bankers helps create a surplus that can be split between a firm and its trading counterparties, hiring traders helps the firm appropriate a greater share of that surplus away from its counterparties. Firms bid defensively for workers bound to become traders, who then earn more than bankers. As counterparties employ more traders, the benefit of employing bankers decreases. The model sheds light on the historical evolution of compensation in finance.

Using individual patient records for every hospital in California from 1983 to 2011, we find a strong inverse link between daily stock returns and hospital admissions, particularly for psychological conditions such as anxiety, panic disorder, and major depression. The effect is nearly instantaneous (within the same day) for psychological conditions, suggesting that anticipation over future consumption directly influences instantaneous utility.