Knowledge that Transforms

Expanding access to commercial credit is a key ingredient of financial development strategies. There is less consensus on whether expanding access to consumer credit helps borrowers, particularly when loans are extended at high interest rates. Popular skepticism about “unproductive,” “usurious” lending is fueled by research highlighting behavioral biases that may induce overborrowing. We estimate the impacts of expanding access to consumer credit at a 200% annual percentage rate (APR) using a field experiment and follow-up data collection. The randomly assigned marginal loans produced significant net benefits for borrowers across a wide range of outcomes. There is also some evidence that the loans were profitable.

We test the prediction of recent theories that stocks with high idiosyncratic skewness should have low expected returns. Because lagged skewness alone does not adequately forecast skewness, we estimate a cross-sectional model of expected skewness that uses additional predictive variables. Consistent with recent theories, we find that expected idiosyncratic skewness and returns are negatively correlated. Specifically, the Fama-French alpha of a low-expected-skewness quintile exceeds the alpha of a high-expected-skewness quintile by 1.00% per month. Furthermore, the coefficients on expected skewness in Fama-MacBeth cross-sectional regressions are negative and significant. In addition, we find that expected skewness helps explain the phenomenon that stocks with high idiosyncratic volatility have low expected returns.

We collect detailed qualitative information from financial filings to categorize financial constraints for a random sample of firms from 1995 to 2004. Using this categorization, we estimate ordered logit models predicting constraints as a function of different quantitative factors. Our findings cast serious doubt on the validity of the KZ index as a measure of financial constraints, while offering mixed evidence on the validity of other common measures of constraints. We find that firm size and age are particularly useful predictors of financial constraint levels, and we propose a measure of financial constraints that is based solely on these firm characteristics.

We study the effects of physical distance on the acquisition and use of private information in informationally opaque credit markets. Using a unique data set of all loan applications by small firms to a large bank, we show that borrower proximity facilitates the collection of soft information, leading to a trade-off in the availability and pricing of credit, which is more readily accessible to nearby firms albeit at higher interest rates ceteris paribus. Analyzing loan rates and firms’ decision to switch lenders provides further evidence for banks’ strategic use of private information. However, distance erodes our lender’s ability to collect proprietary intelligence and to carve out local captive markets, suggesting that the requisite soft information is primarily local.

Previous studies report that cash holdings are more valuable for financially constrained firms than for unconstrained firms. We examine (i) why this is so and (ii) why some constrained firms appear to hold too little cash. Our results indicate that greater cash holdings are associated with higher levels of investment for constrained firms with high hedging needs and that the association between investment and value is stronger for constrained firms than for unconstrained firms. These findings imply that higher cash holdings allow constrained firms to undertake value-increasing projects that might otherwise be bypassed. We further find that some constrained firms exhibit low cash holdings because of persistently low cash flows. Overall, our findings support the view that greater cash holdings of constrained firms are a value-increasing response to costly external financing.

We use text-based analysis of 10-K product descriptions to examine whether firms exploit product market synergies through asset complementarities in mergers and acquisitions. Transactions are more likely between firms that use similar product market language. Transaction stock returns, ex post cash flows, and growth in product descriptions all increase for transactions with similar product market language, especially in competitive product markets. These gains are larger when targets are less similar to acquirer rivals and when targets have unique products. Our findings are consistent with firms merging and buying assets to exploit synergies to create new products that increase product differentiation. The Author 2010. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: [email protected]., Oxford University Press.

Welch and Goyal (2008) find that numerous economic variables with in-sample predictive ability for the equity premium fail to deliver consistent out-of-sample forecasting gains relative to the historical average. Arguing that model uncertainty and instability seriously impair the forecasting ability of individual predictive regression models, we recommend combining individual forecasts. Combining delivers statistically and economically significant out-of-sample gains relative to the historical average consistently over time. We provide two empirical explanations for the benefits of forecast combination: (i) combining forecasts incorporates information from numerous economic variables while substantially reducing forecast volatility; (ii) combination forecasts are linked to the real economy. The Author 2009. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please email: [email protected], Oxford University Press.

[We develop a structural model to investigate the effects of asymmetric beliefs and agency conflicts on dynamic principal-agent relationships. Optimism has a first-order effect on incentives, investments, and output, which could reconcile the private equity puzzle. Asymmetric beliefs cause optimal contracts to have features consistent with observed venture capital and research and development (R& D) contracts. We derive testable implications for the effects of project characteristics on contractual features. We calibrate our model to data on pharmaceutical R& D projects and show that optimism indeed significantly influences project values. Permanent and transitory components of risk have opposing effects on project values and durations.]

[Three large banks control over half of the U.S. commercial loan market by volume through the syndication process. Using attributes of a borrower's location to instrument for lenderborrower matching, I show that the borrower stock price response to a loan announcement is more favorable if one of these dominant banks is the lender, especially if the borrower is "opaque." I then show that these banks charge lower interest rates and are more likely to lend without the protection of a borrowing base. The results suggest that the dominant banks have a particularly high reputation for screening and monitoring borrowers.]

[We use daily short-selling data to examine whether short selling around seasoned equity offerings (SEOs) reflects informed or manipulative trading. Around SEO announcements, we find no evidence of informed short selling. Around issue dates, higher levels of preissue short selling are significantly related to larger issue discounts for non-shelf-registered offerings. This evidence is consistent with manipulative trading. We show that SEC Rule 105 constrains some but not all manipulative trading. Our results reverse previous research that uses monthly short-interest data, because daily data allow more powerful tests. Our evidence helps explain the increased popularity of shelf registrations. Although short selling usually enhances price efficiency, we document a situation where short selling reduces price efficiency.]