Knowledge that Transforms

Extant studies show that stock returns are abnormally negative before executive option grants and abnormally positive afterward. We find that this return pattern is much weaker since August 29, 2002, when the Securities and Exchange Commission requirement that option grants must be reported within two business days took effect. Furthermore, in those cases in which grants are reported within one day of the grant date, the pattern has completely vanished, but it continues to exist for grants reported with longer lags, and its magnitude tends to increase with the reporting delay. We interpret these findings as evidence that most of the abnormal return pattern around option grants is attributable to backdating of option grant dates.

Using only the definition of returns, together with a transversality assumption, we demonstrate that given a dividend process, any one of three variables—expected return, return volatility, and the price–dividend ratio—completely determines the other two. By parameterizing only one of these processes, common empirical specifications place strong, and sometimes counter-factual, restrictions on the dynamics of the other variables. Our findings lend insight into the nature of the risk–return relation and the predictability of stock returns.

This paper analyzes the effect of comparative advantage in international trade on a country's level of financial development. Countries with comparative advantage in financially intensive goods experience a higher demand for external finance, and therefore financial development. By contrast, financial development is lower in countries that primarily export goods which do not rely on external finance. We use disaggregated trade data to develop a measure of a country's external finance need of exports, and demonstrate this effect empirically. In order to overcome the simultaneity problem, we develop a novel instrumentation strategy based on the exogenous geographic determinants of trade patterns.

Existing empirical literature on the risk–return relation uses relatively small amount of conditioning information to model the conditional mean and conditional volatility of excess stock market returns. We use dynamic factor analysis for large data sets, to summarize a large amount of economic information by few estimated factors, and find that three new factors—termed “volatility,” “risk premium,” and “real” factors—contain important information about one-quarter-ahead excess returns and volatility not contained in commonly used predictor variables. Our specifications predict 16–20% of the one-quarter-ahead variation in excess stock market returns, and exhibit stable and statistically significant out-of-sample forecasting power. We also find a positive conditional risk–return correlation.

Demographic variation in savings behavior can be exploited to provide evidence on segmentation in US bank loan markets. Cities with a large fraction of seniors have higher volumes of bank deposits. Since many banks rely heavily on deposit financing, this affects local loan supply and economic activity. I show a positive effect of local deposit supply on local outcomes, including the number of firms, the number of manufacturing firms, and the number of new firms started. The effect is stronger in industries that are heavily dependent on external finance. The deregulation of intrastate branching reduced the effect of local deposit supply by approximately a third.

We investigate cross-country determinants of private credit, using new data on legal creditor rights and private and public credit registries in 129 countries. Both creditor protection through the legal system and information-sharing institutions are associated with higher ratios of private credit to gross domestic product, but the former is relatively more important in the richer countries. An analysis of legal reforms shows that credit rises after improvements in creditor rights and in information sharing. Creditor rights are remarkably stable over time, contrary to the hypothesis that legal rules are converging. Finally, legal origins are an important determinant of both creditor rights and information-sharing institutions. The analysis suggests that public credit registries, which are primarily a feature of French civil law countries, benefit private credit markets in developing countries.

Recent explanations of aggregate stock market fluctuations suggest that countercyclical stock market volatility is consistent with rational asset evaluations. In this paper, I develop a framework to study the causes of countercyclical stock market volatility. I find that countercyclical risk premia do not imply countercyclical return volatility. Instead, countercyclical stock volatility occurs if risk premia increase more in bad times than they decrease in good times, thereby inducing price–dividend ratios to fluctuate more in bad times than in good. The business cycle asymmetry in the investors’ attitude toward discounting future cash flows plays a novel and critical role in many rational explanations of asset price fluctuations.

We present four stylized facts about the Dot Com Era: (1) there was a widespread belief in a Get Big Fast business strategy, (2) the increase and decrease in public and private equity investment was most prominent in the Internet and information technology sectors, (3) the survival rate of dot com firms is on par with or higher than other emerging industries, and (4) firm survival is independent of private equity funding. To connect these findings we offer a herding model that accommodates a divergence between the information and incentives of venture capitalists and their investors. A Get Big Fast belief cascade could have led to overly focused investment in too few Internet startups and, as a result, too little entry.

We conduct a simulation analysis of the Fama and MacBeth[1973. Risk, returns and equilibrium: empirical tests. Journal of Political Economy 71, 607–636.] two-pass procedure, as well as maximum likelihood (ML) and generalized method of moments estimators of cross-sectional expected return models. We also provide some new analytical results on computational issues, the relations between estimators, and asymptotic distributions under model misspecification. The generalized least squares estimator is often much more precise than the usual ordinary least squares (OLS) estimator, but it displays more bias as well. A “truncated” form of ML performs quite well overall in terms of bias and precision, but produces less reliable inferences than the OLS estimator.

We document discretionary underpricing and partial adjustment of IPO prices in the public offer tranche of Japan's hybrid auction regime, in which investor information differences are not important, there are no roadshows, preferential allocations are negligible, institutional investing is low, and the public offer tranche cannot fail. The magnitude and variation of underpricing in our sample, which spans relatively hot and cold markets, are similar to those reported for US IPOs. The evidence is most consistent with underpricing arising from an implicit contract to allocate risk related to initial mispricing where, in exchange for guaranteeing a minimum price, the underwriter participates indirectly in upside performance. The results raise important questions about interpretations of IPO underpricing in the US.