Network Centrality and Delegated Investment Performance

We document a positive relation between network centrality and risk-adjusted performance in a delegated investment management setting. More connected managers take more portfolio risk and receive higher investor flows, consistent with these managers improving their ability to exploit investment opportunities through their network connections. Greater network connections are shown to be particularly important in reducing the diseconomies-of-scale for large managers who are well-connected. We also use the exogenous merger of two investment consultants, which creates a sudden change in the network connections of the managers they oversee, to provide evidence that a greater number of connections translates into better portfolio performance

Analyst Recommendations, Mutual Fund Herding, and Overreaction in Stock Prices

This paper documents the tendency of mutual fund managers to follow analyst recommendation revisions when they trade stocks, and the impact of analyst revisioninduced mutual fund herds on stock prices. We find that mutual fund herds follow consensus revisions in analyst recommendations, controlling for common investment signals that affect both analyst revisions and mutual fund trading. Consensus upgrades result in herds of funds buying a stock, while consensus downgrades result in even bigger herds of funds selling. Our most important finding is that mutual fund herding impacts stock prices to a much larger degree during our sample period (1994 to 2003) than during prior-studied periods. Further, we find the first evidence that mutual funds appear to overreact when they herd in their trades - stocks heavily bought by herds tend to underperform their size, book-tomarket, and momentum cohorts during the following year, while stocks heavily sold outperform. These reversal patterns are even stronger when herds of mutual funds (especially funds with poor performance records) follow analyst recommendation revisions. An investment strategy that accounts for the direction of both analyst revisions and mutual fund herding generates a return (adjusted for size, book-to-market, and momentum) exceeding six percent during the following year. Our results remain robust when we condition fund herding on analyst earnings forecast revisions instead of recommendation revisions. Overall, our study finds that the interaction between sell-side analysts and mutual fund managers plays an important role in setting prices in equity markets

Governance and Shareholder Value in Delegated Portfolio Management: The Case of Closed-End Funds

Based on the records of 1183 individual fund managers from 1985 to 2010, we investigate the compensation and discipline mechanisms in the closed-end fund industry and their implications for manager performance and fund premium. We find that managers generating high surplus, as proxied by fund premium, capture rents on their skills by expansions of assets under management and increases in management fees; however, managers with a high discount are not penalized accordingly. Managers with poor NAV performance suffer from asset contractions, but such discipline is insignificant for managers with long tenure. Consistent with manager entrenchment and decreasing returns to scale, NAV performance and premium decline with manager tenure and the size of assets under management. Finally, in support of the notion that adjustments of assets under management and management fees in response to extreme performance break the premium-performance relation, we find that the fund premium responds positively only to the medium-range NAV performance

Institutional Herding in Financial Markets: New Evidence Through the Lens of a Simulated Model

Due to data limitations and the absence of testable, model-based predictions, theory and evidence on herd behavior are only loosely connected. This paper contributes towards closing this gap in the herding literature. We use numerical simulations of a herd model to derive new, theory-based predictions for aggregate herding intensity. Using high-frequency, investor-specific trading data we confirm the predicted impact of information risk on herding. In contrast, the increase in buy herding measured for the financial crisis period cannot be explained by the herd model