Knowledge that Transforms

ABSTRACT We analyze how proxy advisors, which sell voting recommendations to shareholders, affect corporate decision‐making. If the quality of the advisor's information is low, there is overreliance on its recommendations and insufficient private information production. In contrast, if the advisor's information is precise, it may be underused because the advisor rations its recommendations to maximize profits. Overall, the advisor's presence leads to more informative voting only if its information is sufficiently precise. We evaluate several proposals on regulating proxy advisors and show that some suggested policies, such as reducing proxy advisors' market power or decreasing litigation pressure, can have negative effects.

ABSTRACT Event studies of market efficiency measure earnings surprises using the consensus error ( CE ), given as actual earnings minus the average professional forecast. If a subset of forecasts can be biased, the ideal but difficult to estimate parameter‐dependent alternative to CE is a nonlinear filter of individual errors that adjusts for bias. We show that CE is a poor parameter‐free approximation of this ideal measure. The fraction of misses on the same side ( FOM ), which discards the magnitude of misses, offers a far better approximation. FOM performs particularly well against CE in predicting the returns of U.S. stocks, where bias is potentially large.

ABSTRACT Despite their mediocre mean performance, actively managed mutual funds are distinct from passive funds in their return distributions. Active value funds better hedge downside risk, while active growth funds better capture upside potential. Since such performance features may appeal to investors with tail‐overweighting preferences, we show that preferences for downside protection and upside potential estimated from the empirical pricing kernel can help explain active fund flows in the value and growth categories, respectively. This effect of investor risk preferences varies significantly with funds' downside‐hedging and upside‐capturing ability, with levels of active management, and across retirement and retail funds.

ABSTRACT This paper investigates the consequences of liquidation and reorganization on the allocation and subsequent utilization of assets in bankruptcy. Using the random assignment of judges to bankruptcy cases as a natural experiment that forces some firms into liquidation, we find that the long‐run utilization of assets of liquidated firms is lower relative to assets of reorganized firms. These effects are concentrated in thin markets with few potential users and in areas with low access to finance. These findings suggest that when search frictions are large, liquidation can lead to inefficient allocation of assets in bankruptcy.

ABSTRACT We revisit La Porta's finding that returns on stocks with the most optimistic analyst long‐term earnings growth forecasts are lower than those on stocks with the most pessimistic forecasts. We document the joint dynamics of fundamentals, expectations, and returns of these portfolios, and explain the facts using a model of belief formation based on the representativeness heuristic. Analysts forecast fundamentals from observed earnings growth, but overreact to news by exaggerating the probability of states that have become more likely. We find support for the model's predictions. A quantitative estimation of the model accounts for the key patterns in the data.

ABSTRACT Using proprietary credit default swap (CDS) data, I investigate how capital shocks at protection sellers impact pricing in the CDS market. Seller capital shocks—measured as CDS portfolio margin payments—account for 12% of the time‐series variation in weekly spread changes, a significant amount given that standard credit factors account for 18% during my sample. In addition, seller shocks possess information for spreads that is independent of institution‐wide measures of constraints. These findings imply a high degree of market segmentation, and suggest that frictions within specialized financial institutions prevent capital from flowing into the market at shorter horizons.

ABSTRACT In this paper, I identify shocks to interest rates resulting from two administrative details in adjustable‐rate mortgage contract terms: the choice of financial index and the choice of lookback period. I find that a 1 percentage point increase in interest rate at the time of adjustable‐rate mortgage (ARM) reset results in a 2.5 percentage increase in the probability of foreclosure in the following year, and that each foreclosure filing leads to an additional 0.3 to 0.6 completed foreclosures within a 0.10‐mile radius. In explaining this result, I emphasize price effects, bank‐supply responses, and borrower responses arising from peer effects.

ABSTRACT We develop an empirical model of employee stock option exercise that is suitable for valuation and allows for behavioral channels. We estimate exercise rates as functions of option, stock, and employee characteristics using all employee exercises at 88 public firms, 27 of them in the S&P 500. Increasing vesting frequency from annual to monthly reduces option value by 11% to 16%. Men exercise faster, reducing value by 2% to 4%, while top employees exercise slower, increasing value by 2% to 7%. Finally, we develop an analytic valuation approximation that is more accurate than methods used in practice.

ABSTRACT We present a latent variable model of dividends that predicts, out‐of‐sample, 39.5% to 41.3% of the variation in annual dividend growth rates between 1975 and 2016. Further, when learning about dividend dynamics is incorporated into a long‐run risks model, the model predicts, out‐of‐sample, 25.3% to 27.1% of the variation in annual stock index returns over the same time horizon, with learning contributing approximately half of the predictability in returns. These findings support the view that investors' aversion to long‐run risks and their learning about these risks are important in determining stock index prices and expected returns.

ABSTRACT We incorporate trading fees into a dynamic, multiagent general‐equilibrium model in which traders optimally decide when to trade. For that purpose, we propose an innovative algorithm that synchronizes the traders. Securities prices are not so much affected by the payment of the fees itself, but rather by the trade‐off that the traders face between smoothing consumption and smoothing holdings. In calibrated examples, the interest rate and welfare decline with trading fees, while risk premia and volatilities increase. Liquidity risk and expected liquidity are priced, leading to deviations from the consumption‐CAPM. With trading fees, capital is slow‐moving, generating slow price reversal.