We examine whether customer-base concentration has a differential impact on profitability for firms contracting with major government customers versus firms contracting with major corporate customers. We document that firm profitability increases with the concentration of major government customers, but decreases with the concentration of major corporate customers. We attribute the contrasting results to the differential impact of major government and corporate customers on demand uncertainty. Specifically, firms contracting with major government customers face lower demand uncertainty that enables them to realize more efficiency gains from customer-specific investments, whereas firms contracting with major corporate customers are exposed to higher demand uncertainty that reduces the efficiency of customer-specific investments. Overall, our study suggests that major government customers are unique and important in the composition of customer base, and they impact firm outcomes in a significantly different way than major corporate customers.

We explore a new channel for attracting inflows using a unique data set of corporate 401(k) retirement plans and their mutual fund family trustees. Families secure substantial inflows by being named trustee. We find that family trustees significantly overweight, and are reluctant to sell, their 401(k) client firm's stock. Trustee overweighting is more pronounced when the relationship is more valuable to the trustee family, and is concentrated in those funds receiving the greatest benefit from the inflows. We quantify this flow benefit and find that inclusion in the 401(k) plan has an economically and statistically large, positive effect on inflows.

We develop a performance evaluation approach in which a fund manager's skill is judged by the extent to which the manager's investment decisions resemble the decisions of managers with distinguished performance records. The proposed performance measures use historical returns and holdings of many funds to evaluate the performance of a single fund. Simulations demonstrate that our measures are particularly useful in ranking managers. In an application that relies on such ranking, our measures reveal strong predictability in the returns of U.S. equity funds. Our measures provide information about future fund returns that is not contained in the standard measures.

This paper sheds light over the operations and internal structure of business angel groups (BAGs), a leading actor inside the informal venture capital industry, due to its capability to build cognitive resources and shared competencies that are eventually provided to funded ventures alongside equity capital. We develop a framework based on the role of business angels' decision-making style, human capital and motivation as major determinants of their active involvement in the many different activities performed by angel groups, either investment related activities or group management activities. Our empirical analysis relies on a novel survey-based dataset containing qualitative and quantitative information provided by the members of two large and rather homogeneous business angel groups located in France and in Italy. Results show that business angels with a control-oriented decision-making style tend to be more actively involved in key angel group activities. Human capital built through investment experience, retirement status, as well as initial motivation to join an angel group are also significant drivers of angel involvement in several key BAG activities.

This paper considers how estimates of the market model beta parameter can be biased by friction in the trading process (information, decision, and transaction costs) that (a) leads to a distinction between observed and ‘true’ returns; (b) causes observed returns to be generated asynchronously for a set of interdependent securities; and (c) thereby introduces serial cross-correlation into security returns. Several propositions are derived from which consistent estimators of beta are obtained, and the effect of differencing interval length on beta estimates is specified. The formulation is contrasted with the related analyses of Scholes-Williams (1977) and Dimson (1979).