Knowledge that Transforms

We compare chief executive officer (CEO) turnover in public and large private firms. Public firms have higher turnover rates and exhibit greater turnover–performance sensitivity (TPS) than private firms. When we control for pre-turnover performance, performance improvements are greater for private firms than for public firms. We investigate whether these differences are due to differences in quality of accounting information, the CEO candidate pool, CEO power, board structure, ownership structure, investor horizon, or certain unobservable differences between public and private firms. One factor contributing to public firms’ higher turnover rates and greater TPS appears to be investor myopia.

We present a simple 2-factor model that helps explain several capital asset pricing model (CAPM) anomalies (value premium, return reversal, equity duration, asset growth, and inventory growth). The model is consistent with Merton’s intertemporal CAPM (ICAPM) framework, and the key risk factor is the innovation on a short-term interest rate, the federal funds rate, or the T-bill rate. This model explains a large fraction of the dispersion in the average returns of the joint market anomalies. Moreover, the model compares favorably with alternative multifactor models widely used in the literature. Hence, short-term interest rates seem to be relevant for explaining several dimensions of cross-sectional equity risk premia.

Despite the overwhelming trend in mutual funds toward team management, empirical studies find no performance benefits for this phenomenon. We show it is caused by large discrepancies in reported managerial structures in Center for Research in Security Prices and Morningstar Principia data sets versus U.S. Securities and Exchange Commission records, resulting in up to 50-basis-points underestimation of the team impact on fund returns. Using more accurate Morningstar Direct data, we find that team-managed funds outperform single-managed funds across various performance metrics. The relation between team size and fund performance is nonlinear. Also, team-managed funds take on no more risk than single-managed funds. Overall, team management benefits fund industry performance.

We investigate the effect of information asymmetry on corporate tax avoidance. Using a difference-in-differences matching estimator to assess the effects of changes in analyst coverage caused by broker closures and mergers, we find that firms avoid tax more aggressively after a reduction in analyst coverage. We further find that this effect is mainly driven by firms with higher existing tax-planning capacity (e.g., tax-haven presence), smaller initial analyst coverage, and a smaller number of peer firms. Moreover, the effect is more pronounced in industries where reputation matters more and in firms subject to less monitoring from tax authorities.