Hedge Fund Characteristics and Performance Persistence
基于1994-2008年数据，用面板probit模型识别与业绩持续性相关的基金特征，发现策略独特性指数能显著提升24个月内的持续性，年化alpha提高约4%。
Abstract In this paper, we investigate the performance persistence of hedge funds over time horizons between 6 and 36 months based on a merged sample from the Lipper/TASS and CISDM databases for the time period from 1994 to 2008. Unlike previous literature, we use a panel probit regression approach to identify fund characteristics that are significantly related to performance persistence. We then investigate the performance of two‐way sorted portfolios where sorting is based on past performance and one of the additional fund characteristics identified as persistence‐enhancing in the probit analysis. We find statistically and economically significant performance persistence for time horizons of up to 36 months. Although we identify several fund characteristics that are strongly correlated with the probability of observing performance persistence, we find only one fund characteristic, a strategy distinctiveness index that attempts to measure manager skills and the uniqueness of the hedge fund's trading strategies, to have the ability to systematically improve performance persistence up to a time horizon of 24 months. The economic magnitude of this improvement amounts to a sizeable increase in alpha by approximately 4.0% and 2.3% p.a. for annual and biennial rebalancing, respectively.