Predicting hedge fund performance when fund returns are skewed

We show that fund-specific return skewness is associated with managerial skill and future hedge fund performance. Specifically, skewness in fund returns reflects managerial skill in avoiding large drawdowns. Using a new measure of investment skill that accounts for this managerial ability, we demonstrate that traditional performance measures underestimate (overestimate) managerial performance when returns exhibit positive (negative) fund-specific skewness. Our new measure is particularly valuable during periods of economic crisis, when the annual risk-adjusted outperformance is 5.5%.     

Mutual fund performance with learning across funds

The average level and cross-sectional variability of fund alphas are estimated from a large sample of mutual funds. This information is incorporated, along with the usual regression estimate of alpha, in a (roughly) precision-weighted average measure of individual fund performance. Substantial “learning across funds” is documented, with significant effects on investment decisions. In a Bayesian framework, this form of learning is inconsistent with the assumption, made in the past literature, of prior independence across funds. Independence can be viewed as an extreme scenario in which the true cross-sectional distribution of alphas is presumed to be known a priori.     

Short-term hedge fund performance

Hedge fund returns are often explained using linear factor models such as Fung and Hsieh (2004). However, since most hedge funds live only for 3 years, these linear regressions are subject to over-parameterization. I improve the out-of-sample accuracy of the linear factor model by combining cross-sectional and time series information for groups of hedge funds with similar investment strategies. The additional cross-sectional information allows more accurate estimates of risk exposures. I also propose a trading strategy based on this methodology for extracting substantially larger risk-adjusted returns.     

Exploring uncharted territories of the hedge fund Industry: Empirical characteristics of mega hedge fund firms

This paper investigates mega hedge fund management companies that collectively manage over 50% of the industry's assets, incorporating previously unavailable data from those that do not report to commercial databases. We find similarities among mega firms that report performance to commercial databases compared with those that do not. We show that the largest divergences between the performance of reporting and nonreporting mega firms can be traced to differential exposure to credit markets. Thus, the performance of hard-to-observe mega firms can be inferred from observable data. This conclusion is robust to delisting bias and the presence of serially correlated returns.     

Efficient fund of hedge funds construction under downside risk measures

We consider portfolio allocation in which the underlying investment instruments are hedge funds. We consider a family of utility functions involving the probability of outperforming a benchmark and expected regret relative to another benchmark. Non-normal return vectors with prescribed marginal distributions and correlation structure are modeled and simulated using the normal-to-anything method. A Monte Carlo procedure is used to obtain, and establish the quality of, a solution to the associated portfolio optimization model. Computational results are presented on a problem in which we construct a fund of 13 CSFB/Tremont hedge-fund indices.     

The performance and diversification benefits of funds of hedge funds

We examine the performance and diversification potential of 332 funds of hedge funds (FOHFs) for the period from January 1990 to May 2003. Consistent with prior studies, we find that FOHFs appear to underperform the hedge fund index on a risk-adjusted basis. However, FOHFs have characteristics that offset their apparent underperformance. Their returns do not suffer from negative skewness that is a feature of many hedge fund strategies. Relative to the hedge fund index, we find that FOHFs have lower correlations with stock indices in both bull and bear markets, making them a better diversification tool in equity portfolios. For bond portfolios, however, FOHFs have no diversification advantage over hedge fund indexing.     

The performance of female hedge fund managers

Using data for the period 1994–2013, we examine the return and risk-taking behavior of hedge funds having at least one female portfolio manager and funds that have all female portfolio managers. Funds with all female managers perform no differently than all male-managed funds and have similar risk profiles. For single-style funds, those with mixed teams of both genders underperform male-only funds on both a raw and risk-adjusted basis, although mixed funds incur less risk and their Sharpe ratios do not differ. For funds of funds, both all-female and mixed funds have similar performance to male-managed funds. We then consider the failure rate across all fund styles. Funds with at least one female manager fail at higher rates, driven by difficulty in raising capital—these funds are smaller and are less likely to be closed to new investment. Surviving funds with at least one female manager have better performance than male-managed surviving funds, consistent with the idea that female managers need to perform better for their funds to survive. Yet, female-managed surviving funds have fewer assets under management than surviving male-managed funds. Using media mentions as a proxy for investor interest, female-managed funds receive proportionately less attention. Our results suggest that there are no inherent differences in skill between female and male managers, but that only the best performing female managers manage to survive.     

Structural holes and hedge fund return comovement: evidence from network-connected stock hedge funds in China

Using data from a new hedge fund database, we examine the impact of social networks on the return comovement of stock hedge funds in China. We use structural holes in the college alumni networks of managers to measure the managers’ social network positions. We perform an empirical analysis on a sample of 3,012 hedge fund products in China from 2010 to 2017. We find that greater structural holes are associated with higher return comovement. The positive impact of the structural holes on return comovement is not affected by market cycles, a manager's major in college, or his or her abilities.     

Forecasting the performance of hedge fund styles

This article predicts the relative performance of hedge fund investment styles using time-varying conditional stochastic dominance tests. These tests allow for the construction of dynamic trading strategies based on nonparametric density forecasts of hedge fund returns. During the recent financial turmoil, our tests predict a superior performance for the Global Macro investment style compared with the other strategies of ‘Directional Traders’. The Dedicated Short Bias investment style is stochastically dominated by the other directional styles. These results are confirmed by simple nonparametric tests constructed from realized excess returns. Further, by utilizing a cross-validation method for optimal bandwidth parameter selection, we discover the factors that have predictive power regarding the density of hedge fund returns. We observe that different factors have forecasting power for different regions of the returns distribution and, more importantly, that the Fung and Hsieh factors have power not only for describing the risk premium but also, if appropriately exploited, for density forecasting.     

Mutual fund performance and fund prospectus clarity

We conduct a cross-sectional examination of the writing clarity (readability) of mutual fund prospectuses from 20 major US mutual fund families. We focus on the language in the objective/strategy and principal risks sections, using Flesch scores and word counts to measure writing clarity. There is considerable variation in readability among funds and fund families. Flesch readability scores do not vary across fund objective, but within funds, risk discussions are more clear than are discussions of objective/strategy. Generally, the readability of a fund's risk discussion is lower for load funds than no-load funds, and readability increases with fund size and beta and decreases with raw and risk-adjusted three-year returns.     

The performance of hedge funds and mutual funds in emerging markets

Use of short selling and derivatives is limited in most emerging markets because such instruments are not as readily available as they are in developed capital markets. These limitations raise questions about the value added provided by hedge funds, especially compared to traditional mutual funds active in these markets. We use five existing performance measurement models plus a new asset-style factor model to identify the return sources and the alpha generated by both types of funds. We analyze subperiods, different market environments, and structural breaks. Our results indicate that some hedge funds generate significant positive alpha, whereas most mutual funds do not outperform traditional benchmarks. We find that hedge funds are more active in shifting their asset allocation. The higher degree of freedom that hedge funds enjoy in their investment style might thus be one explanation for the differences in performance.     

The risk in hedge fund strategies: Theory and evidence from long/short equity hedge funds

Theory suggests that long/short equity hedge funds' returns come from directional as well as spread bets on the stock market. Empirical analysis finds persistent net exposures to the spread between small vs large cap stocks in addition to the overall market. Together, these factors account for more than 80% of return variation. Additional factors are price momentum and market activity. Combining two major branches of hedge fund research, our model is the first that explicitly incorporates the effect of funding (stock loan) on alpha. Using a comprehensive dataset compiled from three major database sources, we find that among the three thousand plus hedge funds with similar style classification, less than 20% of long/short equity hedge funds delivered significant, persistent, stable positive non-factor related returns. Consistent with the predictions of the Berk and Green (2004) model we find alpha producing funds decays to “beta-only” over time. However, we do not find evidence of a negative effect of fund size on managers' ability to deliver alpha. Finally, we show that non-factor related returns, or alpha, are positively correlated to market activity and negatively correlated to aggregate short interest. In contrast, equity mutual funds and long-bias equity hedge funds have no significant, persistent, non-factor related return. Expressed differently, L/S equity hedge funds, as the name suggests, do benefit from shorting. Besides differences in risk taking behavior, this is a key feature distinguishing L/S funds from long-bias funds.     

Information spillovers and performance persistence for hedge funds

We present a simple model that rationalizes performance persistence in hedge fund limited partnerships. In contrast to the model for mutual funds of Berk and Green (2004), the learning in our model pertains to profitability associated with an innovative trading strategy or emerging sector, rather than ability specific to the fund manager. As a result of potential information spillovers, which would increase competition if informed investors were to partner with non-incumbent managers, incumbent managers will let informed investors benefit from increases in estimated profitability following high returns realized with the trading strategy or in the sector.     

The performance of emerging hedge funds and managers

This paper provides the first systematic analysis of performance patterns for emerging funds and managers in the hedge fund industry. Emerging funds and managers have particularly strong financial incentives to create investment performance and, because of their size, may be more nimble than established ones. Performance measurement, however, needs to control for the usual biases afflicting hedge fund databases. After adjusting for such biases and using a novel event time approach, we find strong evidence of outperformance during the first two to three years of existence. Each additional year of age decreases performance by 42 basis points, on average. Cross-sectionally, early performance by individual funds is quite persistent, with early strong performance lasting for up to five years.     

Mutual funds as monitors: Evidence from mutual fund voting

We address how mutual funds vote on shareholder proposals and identify factors that help determine support of wealth-increasing shareholder proposals. We examine 213,579 voting decisions made by 1799 mutual funds from 94 fund families for 1047 shareholder proposals voted on between July 2003 and June 2005. In an analysis of voting across funds within the same fund family, we find significant divergence in voting within families, emphasizing the importance of focusing on voting by individual funds. We also find that, in general, mutual funds vote more affirmatively for potentially wealth-increasing proposals and funds' voting approval rates for these beneficial resolutions are significantly higher than those of other investors. Our results suggest that funds tend to support proposals targeting firms with weaker governance. We also find that funds with lower turnover ratios and social funds are more likely to support shareholder proposals. Finally, fund voting approval rates significantly impact whether a proposal passes and whether one is implemented.     

The option CAPM and the performance of hedge funds

We evaluate the investment performance of hedge funds using an asset pricing model that is characterized by a piecewise-linear stochastic discount factor, and which we estimate using the generalized method of moments by minimizing the Hansen–Jagannathan distance. Our results show that, once non-linearities and public information are taken into account, there is only evidence of positive performance for the overall hedge fund index, equity-market neutral strategy and the global macro strategy.     

Mutual fund corporate culture and performance

In this paper we test if a mutual fund's own corporate culture predicts fund performance. To do this we use Morningstar's corporate culture ratings for mutual funds and then examine the ability of these corporate culture ratings to predict risk-adjusted performance of domestic equity funds over the period 2005–2010. Using methods that are robust to survivorship bias, we find there is little significant evidence that corporate culture predicts better fund performance. Indeed, we find that no individual component of the Morningstar stewardship rating including board quality, fees, manager incentives and regulatory issues is able to consistently predict fund performance.     

Regulatory induced performance persistence: Evidence from hedge funds

This paper tests the idea that financial regulation can impact performance persistence in the context of the hedge fund industry in 48 countries over the years 1994–2008. The data show evidence of three types of regulation influencing performance persistence: (1) minimum capital restrictions, which restrict lower quality funds and hence increase the likelihood of performance persistence, (2) restrictions on location of key service providers, which restrict human capital choices and hence tend to mitigate performance persistence, and (3) distribution channels, which make fund performance more opaque, decrease the likelihood of performance persistence. We do not find evidence that distribution channels, that promote fund presence to institutional investors, enhance performance persistence. Finally, we show differences in the effect of regulation on persistence by fund quartile ranking.     

Mutual fund characteristics, managerial attributes, and fund performance

This study provides a comprehensive examination of recent mutual fund performance by analyzing a large set of both mutual funds and fund attributes in an effort to link performance to fund-specific characteristics. The results indicate that the hypothesized relationships between performance and the explanatory variables are generally upheld. After taking into consideration general market conditions and fund investment objective, the characteristic variables that relate to fund popularity, growth, cost, and management also explain performance. Finally, after controlling for survivorship and benchmark error as well as fund-specific factors, the results refute the performance persistence phenomenon.