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.     

Incentives and risk taking in hedge funds

We study how incentive fees and manager’s own investment in the fund affect the investment strategy of hedge fund managers. We find that loss averse managers increase the risk of the fund’s investment strategy with higher incentive fees. However, risk taking is greatly reduced if a substantial amount of the manager’s own money (at least 30%) is in the fund. Using the Zurich hedge fund universe, we test the relation between risk taking and incentive fees empirically. Hedge funds with incentive fees have significantly lower mean returns (net of fees), while downside risk is positively related to the incentive fee level. Fund of funds charging large incentive fees achieve relatively high mean returns, but with significantly higher risk as well.     

The fragile capital structure of hedge funds and the limits to arbitrage

During a financial crisis, when investors are most in need of liquidity and accurate prices, hedge funds cut their arbitrage positions and hoard cash. The paper explains this phenomenon. We argue that the fragile nature of the capital structure of hedge funds, combined with low market liquidity, creates a risk of coordination in redemptions among hedge fund investors that severely limits hedge funds' arbitrage capabilities. We present a model of hedge funds' optimal asset allocation in the presence of coordination risk among investors. We show that hedge fund managers behave conservatively and even abstain from participating in the market once coordination risk is factored into their investment decisions. The model suggests a new source of limits to arbitrage.     

The liquidity risk of liquid hedge funds

This paper evaluates hedge funds that grant favorable redemption terms to investors. Within this group of purportedly liquid funds, high net inflow funds subsequently outperform low net inflow funds by 4.79% per year after adjusting for risk. The return impact of fund flows is stronger when funds embrace liquidity risk, when market liquidity is low, and when funding liquidity, as measured by the Treasury-Eurodollar spread, aggregate hedge fund flows, and prime broker stock returns, is tight. In keeping with an agency explanation, funds with strong incentives to raise capital, low manager option deltas, and no manager capital co-invested are more likely to take on excessive liquidity risk. These results resonate with the theory of funding liquidity by Brunnermeier and Pedersen (2009).     

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.     

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.     

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.     

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.     

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.     

Reviewing the hedge funds literature I: Hedge funds and hedge funds' managerial characteristics

This paper summarizes the literature on hedge funds (HFs) developed over the last two decades, particularly that which relates to managerial characteristics (a companion piece covers the return and risk management characteristics of HFs). It classifies, the current HF literature, suggesting which critical problems have been “solved” and which problems have not been yet adequately addressed. It also discusses the effects of past financial regulation and the prospects for the effect of new financial regulation on the HF industry and its performance and risk management practices, and suggests new avenues for research. Furthermore, it highlights the importance of managerial characteristics for HF performance, and the successes and the shortfalls to date in developing more sophisticated HF-related risk management tools.     

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.     

A fully parametric approach to return modelling and risk management of hedge funds

This paper examines the empirical properties of hedge fund returns and proposes a fully parametric model capable of adequately describing both univariate and multivariate return properties. The suggested model is based on the multivariate extension of the Normal Inverse Gaussian (NIG) distribution and will be shown to be capable of capturing the characteristic distributional features of hedge fund returns. Drawing on recent research in the area of Generalized Hyperbolic distributions and their calibration, we will elaborate on the application of the NIG-model for risk management purposes, and highlight the differences between the NIG and the Gaussian model.      

Venture capital funds: Flow-performance relationship and performance persistence

This paper finds that venture capital funds that are expected to be backed by more skilled investors show no performance persistence but a significant flow-performance relationship. In contrast, funds that are expected to be backed by less skilled investors show performance predictability and have a non-significant flow-performance relationship. These results suggest that only skilled investors use all available information to adjust their capital allocation and, as a result, eliminate performance predictability as argued theoretically by Berk and Green (2004). Results also show that Kaplan and Schoar (2005) overstate the persistence in fund performance by not using an ex ante measure of the performance of earlier funds. Whether or not an ex ante measure is used, however, the persistence is largely due to unsophisticated investors. When investors are sophisticated, the performance of earlier funds, sequence and fund size do not help predict the performance of the focal fund.     

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 Italian hedge funds industry: An empirical analysis of performance and persistence

This study analyses Italian hedge funds performance and persistence. The peculiarity of the Italian hedge fund industry is that 95% of the hedge funds are funds of hedge funds (FoHF), whereas only 5% of them employ other investment styles. Using monthly data on FoHF provided by MondoHedge, we examine the impact of both market variables and funds’ own characteristics on funds performance using panel data. We find that the European, the Japanese and the emerging markets equity markets, and the commodity market have a positive impact on Italian FoHF performances, while the US Bond Market negatively affects them. Moreover, we find performance fees and notice days to have a negative impact on funds performances. Finally, we test the presence of performance persistence. Employing two different nonparametric methods, we find that funds performances are persistent on a monthly and quarterly basis, while the regression-based parametric method provides evidence of persistence only on a monthly basis.     

Optimal allocation to hedge funds: an empirical analysis

What percentage of their portfolio should investors allocate to hedge funds? The only available answers to the above question are set in a static mean-variance framework, with no explicit accounting for uncertainty on the active manager's ability to generate abnormal return, and usually generate unreasonably high allocations to hedge funds. In this paper, we apply the model introduced in Cvitanic et al (2002b Working Paper USC) for optimal investment strategies in the presence of uncertain abnormal returns to a database of hedge funds. We find that the presence of the model risk significantly decreases an investor's optimal allocation to hedge funds. Another finding of this paper is that low beta hedge funds may serve as natural substitutes for a significant portion of investor risk-free asset holdings.     

Does investor identity matter? An empirical examination of investments by venture capital funds and hedge funds in PIPEs

I examine the emerging phenomenon of PIPEs (private investments in public equity) invested by venture capital funds (VCs) and hedge funds (HFs) and analyze whether and how these investors add value to firms by comparing a sample of 113 VC-invested PIPEs to a sample of 397 PIPEs with HFs. I find that VCs gain substantial ownership, request board seats, and often keep their stake after the PIPEs. In contrast, HFs rarely join the board of directors and typically cash out their positions shortly after the PIPE. The stock performance of VC-invested firms is significantly better than HF-invested firms both in the short run and in the long run. The positive valuation effect of having VCs as PIPE investors appears to be a certification effect rather than a monitoring effect. A key implication from these findings is that investor identity matters.     

Reviewing the hedge funds literature II: Hedge funds' returns and risk management characteristics

This paper summarizes the literature on hedge funds (HFs) developed over the last two decades, particularly that which relates to risk management characteristics (a companion piece investigates the managerial characteristics of HFs). It discusses the successes and the shortfalls to date in developing more sophisticated risk management frameworks and tools to measure and monitor HF risks, and the empirical evidence on the role of the HFs and their investment behaviour and risk management practices on the stability of the financial system. It also classifies the HF literature considering the most recent contributions and, particularly, the regulatory developments after the 2007 financial crisis.     

Risk and performance estimation in hedge funds revisited: Evidence from errors in variables

This paper revisits the performance of hedge funds in the presence of errors in variables. To reduce the bias induced by measurement error, we introduce an estimator based on cross sample moments of orders three and four. This Higher Moment Estimation (HME) technique has significant consequences on the measure of factor loadings and the estimation of abnormal performance. Large changes in alphas can be attributed to measurement errors at the level of explanatory variables, while we emphasize some shifts in the economic contents of the equity risk premiums by switching from OLS to HME.     

Does the choice of performance measure influence the evaluation of hedge funds?

The Sharpe ratio is adequate for evaluating investment funds when the returns of those funds are normally distributed and the investor intends to place all his risky assets into just one investment fund. Hedge fund returns differ significantly from a normal distribution. For this reason, other performance measures for hedge fund returns have been proposed in both the academic and practice-oriented literature. In conducting an empirical study based on return data of 2763 hedge funds, we compare the Sharpe ratio with 12 other performance measures. Despite significant deviations of hedge fund returns from a normal distribution, our comparison of the Sharpe ratio to the other performance measures results in virtually identical rank ordering across hedge funds.