Knowledge that Transforms

This article documents the fact that ventures funded by two successful angel groups experience superior outcomes to rejected ventures: They have improved survival, exits, employment, patenting, Web traffic, and financing. We use strong discontinuities in angel- funding behavior over small changes in their collective interest levels to implement a regression discontinuity approach. We confirm the positive effects for venture operations, with qualitative support for a higher likelihood of successful exits. On the other hand, there is no difference in access to additional financing around the discontinuity. This might suggest that financing is not a central input of angel groups.

The availability of credit varies over the business cycle through shifts in the leverage of financial intermediaries. Empirically, we find that intermediary leverage is negatively aligned with the banks' Value-at-Risk (VaR). Motivated by the evidence, we explore a contracting model that captures the observed features. Under general conditions on the outcome distribution given by extreme value theory (EVT), intermediaries maintain a constant probability of default to shifts in the outcome distribution, implying substantial deleveraging during downturns. For some parameter values, we can solve the model explicitly, thereby endogenizing the VaR threshold probability from the contracting problem.

We show that wrongful discharge laws—laws that protect employees against unjust dismissal—spur innovation and new firm creation. Wrongful discharge laws, particularly those that prohibit employers from acting in bad faith ex post, limit employers' ability to hold up innovating employees after the innovation is successful. By reducing the possibility of holdup, these laws enhance employees'innovative efforts and encourage firms to invest in risky but potentially mould-breaking projects. We develop a model and provide supporting empirical evidence of this effect using the staggered adoption of wrongful discharge laws across U.S. states.

We study capital structure choices that entrepreneurs make in their firms' initial year of operation, using restricted-access data from the Kauffman Firm Survey. Firms in our data rely heavily on external debt sources, such as bank financing, and less extensively on friends-and-family-based funding sources. Many startups receive debt financed through the personal balance sheets of the entrepreneur, effectively resulting in the entrepreneur holding levered equity claims in their startups. This fact is robust to numerous controls, including credit quality. The reliance on external debt underscores the importance of credit markets for the success of nascent business activity.

Based on a sample of venture capital (VC)-backed IPO firms, we examine whether tolerance for failure spurs corporate innovation. We develop a novel measure of VC investors' failure tolerance by examining their willingness to continue investing in underperforming ventures. We find that IPO firms backed by more failure-tolerant VC investors are significantly more innovative and VC failure tolerance is particularly important for ventures that are subject to high failure risk. We show that these results are not driven by endogenous matching between failure-tolerant VC firms and start-ups with high ex ante innovative potential. We also examine the determinants of the cross-sectional heterogeneity in a VC firm's failure tolerance. We find that both capital constraints and career concerns can negatively distort a VC firm's failure tolerance. Less experienced VC firms are more exposed to these distortions, making them less failure tolerant than are more established VC firms. The Author 2011. 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.

We develop two measures of board composition to investigate whether directors appointed by the CEO have allegiance to the CEO and decrease their monitoring. Co-option is the fraction of the board comprised of directors appointed after the CEO assumed office. As Co-option increases, board monitoring decreases: turnover-performance sensitivity diminishes, pay increases (without commensurate increase in pay-performance sensitivity), and investment increases. Non-Co-opted Independence—the fraction of directors who are independent and were appointed before the CEO—has more explanatory power for monitoring effectiveness than the conventional measure of board independence. Our results suggest that not all independent directors are effective monitors.

Controlling for unobserved heterogeneity (or “common errors”), such as industry-specific shocks, is a fundamental challenge in empirical research.This paper discusses the limitations of two approaches widely used in corporate finance and asset pricing research: demeaning the dependent variable with respect to the group (e.g., “industry-adjusting”) and adding the mean of the group's dependent variable as a control. We show that these methods produce inconsistent estimates and can distort inference. In contrast, the fixed effects estimator is consistent and should be used instead. We also explain how to estimate the fixed effects model when traditional methods are computationally infeasible.

We analyze time-series of investor expectations of future stock market returns from six data sources between 1963 and 2011. The six measures of expectations are highly positively correlated with each other, as well as with past stock returns and with the level of the stock market. However, investor expectations are strongly negatively correlated with model-based expected returns. We reconcile the evidence by calibrating a simple behavioral model, in which fundamental traders require a premium to accommodate expectations shocks from extrapolative traders, but markets are not efficient.

Social media has become a popular venue for individuals to share the results of their own analysis on financial securities. This paper investigates the extent to which investor opinions transmitted through social media predict future stock returns and earnings surprises. We conduct textual analysis of articles published on one of the most popular social media platforms for investors in the United States. We also consider the readers' perspective as inferred via commentaries written in response to these articles. We find that the views expressed in both articles and commentaries predict future stock returns and earnings surprises.

This paper studies the quantitative impact of microprudential bank regulations on bank lending and value metrics of efficiency and welfare in a dynamic model of banks that are financed by debt and equity, undertake maturity transformation, are exposed to credit and liquidity risks, and face financing frictions. We show that (1) there exists an inverted U-shaped relationship between bank lending, welfare, and capital requirements, (2) liquidity requirements unambiguously reduce lending, efficiency, and welfare, and (3) resolution policies contingent on observed capital, such as prompt corrective action, dominate in efficiency and welfare terms (noncontingent) capital and liquidity requirements.