Knowledge that Transforms

We conduct an experiment to evaluate why individuals invest in high-fee index funds. In our experiments, subjects allocate $10,000 across four S&P 500 index funds and are rewarded for their portfolio's subsequent return. Subjects overwhelmingly fail to minimize fees. We can reject the hypothesis that subjects buy high-fee index funds because of bundled non-portfolio services. Search costs for fees matter, but even when we eliminate these costs, fees are not minimized. Instead, subjects place high weight on annualized returns since inception. Fees paid decrease with financial literacy. Interestingly, subjects who choose high-fee funds sense they are making a mistake.

Using a large sample of individual investor records over a nine-year period, we analyze survival rates, the disposition effect, and trading performance at the individual level to determine whether and how investors learn from their trading experience. We find evidence of two types of learning: some investors become better at trading with experience, while others stop trading after realizing that their ability is poor. A substantial part of overall learning by trading is explained by the second type. By ignoring investor attrition, the existing literature significantly overestimates how quickly investors become better at trading.

Using data from 56 markets, we find that short-term reversal, post-earnings drift, and momentum strategies earn similar returns in emerging and developed markets. Variance ratios and market delay measures often show greater deviations from random walk pricing in developed markets. Conceptually, we show that commonly used efficiency tests can yield misleading inferences because they do not control for the information environment. Our evidence corrects misperceptions that emerging markets feature larger trading profits and higher return autocorrelation, highlights crucial limitations of weak and semi-strong form efficiency measures, and points to the importance of measuring informational aspects of efficiency.

We analyze the long-run trends in executive compensation using a new dataset of top officers of large firms from 1936 to 2005. The median real value of compensation was remarkably flat from the late 1940s to the 1970s, revealing a weak relationship between pay and aggregate firm growth. By contrast, this correlation was much stronger in the past thirty years. This historical perspective also suggests that compensation arrangements have often helped to align managerial incentives with those of shareholders because executive wealth was sensitive to firm performance for most of our sample. These new facts pose a challenge to several common explanations for the rise in executive pay since the 1980s.

This article examines the issue of cross-sectional correlation in event studies. When there is event-date clustering, we find that even relatively low cross-correlation among abnormal returns is serious in terms of over-rejecting the null hypothesis of zero average abnormal returns. We propose a new test statistic that modifies the t-statistic of Boehmer, Musumeci, and Poulsen (1991) to take into account cross-correlation and show that it performs well in competition with others, including the portfolio approach, which is less powerful than other alternatives under study. Also, our statistic is readily useable to test multiple-day cumulative abnormal returns.

A large theoretical literature shows that competition reduces banks' franchise values and induces them to take more risk. Recent research contradicts this result: When banks charge lower rates, their borrowers have an incentive to choose safer investments, so they will in turn be safer. However, this argument does not take into account the fact that lower rates also reduce the banks' revenues from performing loans. This paper shows that when this effect is taken into account, a U-shaped relationship between competition and the risk of bank failure generally obtains.

This article analyzes the economics of the private equity industry using a novel model and dataset. We obtain data from a large investor in private equity funds, with detailed records on 238 funds raised between 1993 and 2006. We build a model to estimate the expected revenue to managers as a function of their investor contracts, and we test how this estimated revenue varies across the characteristics of our sample funds. Among our sample funds, about two-thirds of expected revenue comes from fixed-revenue components that are not sensitive to performance. We find sharp differences between venture capital (VC) and buyout (BO) funds. BO managers build on their prior experience by increasing the size of their funds faster than VC managers do. This leads to significantly higher revenue per partner and per professional in later BO funds. The results suggest that the BO business is more scalable than the VC business and that past success has a differential impact on the terms of their future funds.

We construct a comprehensive list of dual-class firms in the United States and use this list to analyze the relationship between insider ownership and firm value. Our data have two useful features. First, since dual-class stock separates cash-flow rights from voting rights, we can separately identify the impact of each. Second, we address endogeneity concerns by using exogenous predictors of dual-class status as instruments. In single-stage regressions, we find strong evidence that firm value is increasing in insiders’ cash-flow rights and decreasing in insider voting rights. In instrumental variable regressions, the point estimates are similar but the significance levels are lower.

Using a novel dataset that records individual debt issues on the balance sheets of public firms, we demonstrate that traditional capital structure studies that ignore debt heterogeneity miss substantial capital structure variation. Relative to high-credit-quality firms, low-credit-quality firms are more likely to have a multi-tiered capital structure consisting of both secured bank debt with tight covenants and subordinated non-bank debt with loose covenants. We discuss the extent to which these findings are consistent with existing theoretical models of debt structure in which firms simultaneously use multiple debt types to reduce incentive conflicts.

The “antidirector rights index” has been used as a measure of shareholder protection in over a hundred articles since it was introduced by La Porta et al. (“Law and Finance.” 1998, Journal of Political Economy 106:1113–55). A thorough reexamination of the legal data, however, leads to corrections for thirty-three of the forty-six countries analyzed. The correlation between corrected and original values is only 0.53. Consequently, many empirical results established using the original index may not be replicable with corrected values. In particular, the corrected index fails to support three widely influential claims: that shareholder protection is higher in common than in civil law countries; that shareholder protection predicts stock market size or ownership dispersion; and that weak corporate governance explains the extent of exchange rate depreciation during the Asian financial crisis of 1997–1998.