Narrow Results

We propose a new determinant of mutual fund performance persistence. We argue that different funds have different abilities to generate persistent performance and that such heterogeneity across funds can be explained by fund manager access to market information. To justify this hypothesis, we construct a network of mutual funds based on the commonality of their stock holdings and use network features to characterize how well a fund acquires and utilizes market information. Based on a sample of U.S. equity funds from 2001 to 2014, we find that a mutual fund with more complete information is more likely to possess momentum in performance.

A model is proposed to study the risk management problem of designing optimal trading strategies in a limit order book. The execution of limit orders is uncertain, which leads to a stochastic control problem. In contrast to previous literature, we allow the agents to choose both the quotes and the sizes of their submitted orders. Attention is paid to how the trading strategy is affected by an order book’s characteristics, market volatility and the trader’s risk attitude. We prescribe an optimal splitting of the order size for the trades with limit orders, while the existing literature offers a solution to this problem with market orders, and, at the same time, we provide guidelines to optimally place orders further behind the best price or to (re)position them more aggressively. Thus this paper is an attempt towards a more realistic modeling of optimal liquidation throughout limit orders.