全球流动性过剩、对冲基金发展与中国金融稳定

全球流动性过剩导致全球金融资产激增,推动对冲基金业规模迅速膨胀,也使得对冲基金业在结构和投资动向上也出现了新的变化。对冲基金在全球寻找套利和投机机会,对全球的金融稳定产生一定的影响,在此背景下,中国需要审慎资本项目开放和加强对冲基金的监管。     

Relative importance of hedge fund characteristics

This study compares the relative importance of thirteen attributes in explaining the cross-sectional variations in the returns of hedge funds, using a large sample from the TASS database covering the 1989–2005 period. We use a simple characteristic-based model of return decomposition, which has never before been applied to hedge funds. The characteristic factors are estimated using cross-sectional dummy-variable regressions. Their importance is found to be time-varying. We find that diversification across styles matters, but that it could be improved significantly by also diversifying across other characteristics, mainly including performance, volatility and fee structure.      

The dynamics of hedge fund share restrictions

Nearly one in five hedge funds change their share restrictions (e.g., lockup) from 2007 to 2012. Using a large panel dataset, this paper is the first to empirically examine the incidence, determinants, and consequences of share restriction changes. We find that funds with high asset liquidity and low liquidity risk are more likely to decrease share restrictions and funds with good performance are more likely to increase share restrictions. A hazard model indicates that funds who actively manage liquidity concerns live longer by adjusting share restrictions. We examine whether changes in share restrictions create an endogeneity bias in the share illiquidity premium (Aragon, 2007) and find that 18% of the premium can be explained by the dynamic nature of contract changes.     

External monitoring and returns to hedge fund activist campaigns

Firms targeted by hedge fund activists experience significantly higher returns when there are fewer external monitors in place at the target firm. Using analyst coverage and institutional ownership as measures of external monitoring presence, we find that low‐monitored activist targets experience abnormal returns 17.52% above that of high‐monitored targets in the 2‐year period following the initial campaign start date. The significant effect of external monitoring remains after controlling for target firm and activist characteristics. We also document improved operating performance and an increased monitoring presence at low‐monitored target firms across the same 2‐year period, consistent with the observed market performance.     

Style chasing by hedge fund investors

This paper examines whether investors chase hedge fund investment styles. We find that better-performing and more popular styles are rewarded with higher inflows in subsequent periods. This indicates that investors compare hedge fund styles in terms of recent performance and popularity, and they subsequently reallocate funds from less successful to more successful styles. Furthermore, we find evidence of competition between individual hedge funds of the same style. Funds outperforming the other funds in their styles and funds whose inflows exceed the average flows in their styles experience higher inflows in subsequent periods. One of the reasons for competition among same-style funds is investors’ search for the best managers. The high minimum investment required to invest in a hedge fund limits investors’ diversification opportunities and makes this search particularly important. Finally, we show that hedge fund investors’ implementation of style chasing in combination with intra-style fund selection represents a smart strategy.     

Highwaymen or heroes: Should hedge funds be regulated?: A survey

There are increasing calls for the regulation of hedge funds, both for consumer protection and systemic reasons. We argue that the consumer protection arguments for direct regulation are not convincing, but find that the systemic concerns are sufficiently serious to warrant some forms of regulation. Existing regulatory methods, disclosure and activity restrictions, are unsuitable for hedge funds. Any future regulation must reduce the likelihood and potential costs of the failure of systemically important hedge funds while at the same time preserving the wider market benefits of hedge funds’ ongoing activities.     

Timing is money: The factor timing ability of hedge fund managers

This paper studies the level, determinants, and implications of the factor timing ability of hedge fund managers. We find that approximately 34% of hedge funds display factor timing ability on at least one factor over the full sample, concentrated especially at the market, size, and bond factors. Better factor timing skills are on average related to funds that are more experienced and more flexible, but the cross-factor heterogeneity is considerable. Factor timing is associated with outperformance; the top factor timing funds outperform the bottom factor timing funds with a significant 4.32% per annum. Timing skills, though, do not directly lead to higher net flow.     

The role of derivatives in hedge fund activism

Using a hand-collected sample of hedge fund activist engagements from 1994 to 2014, this study analysed the role of derivatives in the hedge fund activism. Evidence shows abnormal returns of targets of hedge fund activists who did not use derivatives exceeded the abnormal returns of targets of hedge fund activists who employed derivatives around the activist engagement disclosure period. We also find that idiosyncratic volatility of the targets of hedge fund activists who did not use derivatives was more reduced than that of the targets of hedge fund activists who used derivatives. Finally, the probability of takeovers increases for hedge fund activists who did not use derivatives.     

Hedge fund returns under crisis scenarios: A holistic approach

The assets of the hedge fund industry are nearly equivalent to the GDP of the UK. The industry, which claims returns independent of markets conditions and has been blamed for economic crises, has attracted the interest of a wide range of financial and political players and academics. This paper, using monthly series performance data since January 1995, at a fund strategy level and S&P500, and a holistic and a developed dynamic correlation quantitative approach, aims to challenge the allegations and the claims, which have been made on rather incomplete research grounds. Statistically, the results strongly reject the claims of the vast majority of fund strategies, excluding the case of the macro and short strategies, over the crisis periods, suggesting that they cannot protect their investors like S&P500. Regarding the allegations, it is inferred that Hedge Funds are used in most cases as a scapegoat rather than actually being the cause of the crises.     

Optimal hedge fund portfolios under liquidation risk

We use an expected utility framework to integrate the liquidation risk of hedge funds into portfolio allocation problems. The introduction of realistic investment constraints complicates the determination of the optimal solution, which is solved using a genetic algorithm that mimics the mechanism of natural evolution. We analyse the impact of the liquidation risk, of the investment constraints and of the agent's degree of risk aversion on the optimal allocation and on the optimal certainty equivalent of hedge fund portfolios. We observe, in particular, that the portfolio weights and their performance are significantly affected by liquidation risk. Finally, tight portfolio constraints can only provide limited protection against liquidation risk. This approach is of special interest to fund of hedge fund managers who wish to include the hedge fund liquidation risk in their portfolio optimization scheme.     

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%.     

Liquidity risk and the cross-section of hedge-fund returns

This paper demonstrates that liquidity risk as measured by the covariation of fund returns with unexpected changes in aggregate liquidity is an important determinant in the cross-section of hedge-fund returns. The results show that funds that significantly load on liquidity risk subsequently outperform low-loading funds by about 6% annually, on average, over the period 1994–2008, while negative performance is observed during liquidity crises. The returns are independent of the liquidity a fund provides to its investors as measured by lockup and redemption notice periods, and they are also robust to commonly used hedge-fund factors, none of which carries a significant premium during the sample period. These findings highlight the importance of understanding systematic liquidity variations in the evaluation of hedge-fund performance.     

Arbitrage crashes and the speed of capital

The imminent failure of prime brokers during the 2008 financial crisis caused a sudden decrease in the leverage afforded hedge funds. This decrease resulted from the asymmetrical payoff to rehypothecation lenders—the ultimate financiers, through prime brokers, to hedge funds. Seemingly long-term debt capital became short-term capital creating a duration mismatch between left-hand side arbitrage opportunities and right-hand side liabilities. Consequently, arbitrageurs became unable to maintain similar prices of similar assets. Mispricing magnitudes, and the time required to correct them, reflect the role of arbitrageurs in maintaining accurate prices during normal times and offer an estimate of discounts at which assets transact during crises.     

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.      

Generalized runs tests to detect randomness in hedge funds returns

The major contribution of this paper is to make use of generalized runs tests (Cho and White, 2011) to analyze the randomness, i.e. the lack of persistence, in both absolute and relative returns of hedge funds. We find that about 42% of the HFR universe exhibit iid absolute returns over the period spanning 2000 to 2012. These funds are mainly found in proportions within the Macro and Equity Hedge strategies. A similar result holds for relative returns. We also find that funds having non-iid returns often exhibit ARCH effects and structural breaks, with largest breaks located within financial crises. Also, only a small percentage displays persistence in their relative performance, 8.2% to 16.7% of the universe, mainly found in proportions within the Relative Value and Event-Driven strategies. The robustness of results is challenged by implementing the tests on a crisis-free period. We find similar results for absolute returns. For relative ones, differences appear across strategies and benchmarks, but still both ARCH and breaks are present. Our work contributes to the hedge fund literature in terms of methodology, portfolio allocation, and performance measurement.     

Recent advances in explaining hedge fund returns: Implicit factors and exposures

We survey articles covering how hedge fund returns are explained, using largely non-linear multifactor models that examine the non-linear pay-offs and exposures of hedge funds. We provide an integrated view of the implicit factor and statistical factor models that are largely able to explain the hedge fund return-generating process. We present their evolution through time by discussing pioneering studies that made a significant contribution to knowledge, and also recent innovative studies that examine hedge fund exposures using advanced econometric methods. This is the first review that analyzes very recent studies that explain a large part of hedge fund variation. We conclude by presenting some gaps for future research.     

Macroeconomic risk and hedge fund returns

This paper estimates hedge fund and mutual fund exposure to newly proposed measures of macroeconomic risk that are interpreted as measures of economic uncertainty. We find that the resulting uncertainty betas explain a significant proportion of the cross-sectional dispersion in hedge fund returns. However, the same is not true for mutual funds, for which there is no significant relationship. After controlling for a large set of fund characteristics and risk factors, the positive relation between uncertainty betas and future hedge fund returns remains economically and statistically significant. Hence, we argue that macroeconomic risk is a powerful determinant of cross-sectional differences in hedge fund returns.     

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.     

Detecting structural breaks and identifying risk factors in hedge fund returns: A Bayesian approach

Extending previous work on asset-based style factor models, this paper proposes a model that allows for the presence of structural breaks in hedge fund return series. We consider a Bayesian approach to detecting structural breaks occurring at unknown times and identifying relevant risk factors to explain the monthly return variation. Exact and efficient Bayesian inference for the unknown number and positions of the breaks is performed by using filtering recursions similar to those of the forward–backward algorithm. Existing methods of testing for structural breaks are also used for comparison. We investigate the presence of structural breaks in several hedge fund indices; our results are consistent with market events and episodes that caused substantial volatility in hedge fund returns during the last decade.