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。     

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.     

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.     

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.      

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.     

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.     

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.     

An advanced perspective on the predictability in hedge fund returns

This paper advances the research on the predictability in hedge fund returns, using a broad set of risk factors within a variety of different prediction models. Accounting for the fact that returns are non-normally distributed, heteroscedastic and time-varying in their exposure to pervasive economic risk factors, we advocate a non-parametric backward elimination regression approach. The interdependencies between the monthly changes of envisaged risk factors and the subsequent hedge fund returns remain remarkably stable in terms of the observed direction of impact. Thus, taking into account the specific characteristics of this asset class, we find strong evidence of its return predictability.     

Trades of the living dead: Style differences, style persistence and performance of currency fund managers

We make use of a new database on daily currency fund manager returns over a three-year period, 2005–2008. This higher frequency data allows us to estimate both alpha measures of performance and beta style factors on a yearly basis, which in turn allows us to test for persistence. We find no evidence to support alpha persistence; a manager’s alpha in one year is not significantly related to his alpha in the prior year. On the other hand, there is substantial evidence for style persistence; funds that rely on carry, trend or value trading or with a long/short bias toward currency volatility are likely to maintain that style in the following year. In addition, we are able to examine the performance of managers that survive through the entire sample period, versus those that drop out. We find significant differences in both the investment styles of living versus deceased funds, as well as their realized alpha performance measures. We conjecture that both style differences and ineffective market timing, rather than market conditions, have impacted performance outcomes and induced some managers to close their funds.     

Performance hypothesis testing with the Sharpe ratio: The case of hedge funds

As recent research highlights that the Sharpe ratio has a decision theoretic foundation even in the case of asymmetric or fat-tailed excess returns and thus is adequate even for the evaluation of hedge funds, this note provides the first Sharpe ratio based performance analysis of the hedge fund market. Furthermore, it addresses the important practical question whether the choice of hypothesis test used to statistically compare Sharpe ratios can influence an investor’s hedge fund selection process. Our key findings are as follows: (i) Only a small fraction of hedge funds in our large dataset can significantly outperform passive investments in corresponding hedge fund indices. (ii) Especially in the presence of autocorrelated or skewed excess returns, the traditional test of Jobson and Korkie, 1981, Memmel, 2003 tends to overstate the number of significant outperformers and thus provides potentially misleading information for investors. Decision makers are advised to use the bootstrap test of Ledoit and Wolf (2008) allowing robust and more reliable inference.     

Capacity constraints,investor information,and hedge fund returns

To identify capacity constraints in hedge funds and simultaneously gauge how well-informed hedge fund investors are, we need measures of investor demand that do not affect deployed hedge fund assets. Using new data on investor interest from a secondary market for hedge funds, this paper verifies the existence of capacity constraints in hedge funds. There is more mixed evidence on the information available to hedge fund investors. Buy and sell indications arrive following fund outperformance. While buy indications have little incremental power to predict hedge fund performance over and above well-known forecasting variables, sell indications do somewhat better.     

Systematic risk and the cross section of hedge fund returns

This paper investigates the extent to which market risk, residual risk, and tail risk explain the cross-sectional dispersion in hedge fund returns. The paper introduces a comprehensive measure of systematic risk (SR) for individual hedge funds by breaking up total risk into systematic and fund-specific or residual risk components. Contrary to the popular understanding that hedge funds are market neutral, we find that systematic risk is a highly significant factor explaining the dispersion of cross-sectional returns while at the same time measures of residual risk and tail risk seem to have little explanatory power. Funds in the highest SR quintile generate 6% more average annual returns compared with funds in the lowest SR quintile. After controlling for a large set of fund characteristics and risk factors, systematic risk remains positive and highly significant, whereas the relation between residual risk and future fund returns continues to be insignificant. Hence, systematic risk is a powerful determinant of the cross-sectional differences in hedge fund returns.     

Political influence in hedge fund activism: Causal evidence from U.S. gubernatorial election

This study examines the causal impacts of political influence on hedge fund activism in an exogenous setting of U.S. gubernatorial election. Local incumbent politicians have incentives to protect local inefficient firms from being targeted by activists because activism could lead to divestment and local worker layoffs. And such incentives can become weaker in election years because political competition increases the incumbent politician’s accountability to broader groups of stakeholders. Consistent with this prediction, the likelihood of local firms being targeted by activists is shown to be significantly higher during election years. Moreover, the firm’s political connections mitigate the effects of election, suggesting that politicians still maintain protection to connected firms. Further cross-sectional tests show that the effects of election are stronger (1) for firms with lower labor intensity, severer problem of free cash flow and lower efficiency, and (2) when the political competition is fiercer. Additional tests reveal that hedge fund activism enhances the target firm’s operating performance and creates larger value for investors when it faces weaker political influence. To sum up, our findings suggest that political influence affects hedge fund activism and the activists strategically adjust the timing of initiating campaigns according to the changes of such influence.     

Higher risk,lower returns: What hedge fund investors really earn

The returns of hedge fund investors depend not only on the returns of the funds they hold but also on the timing and magnitude of their capital flows in and out of these funds. We use dollar-weighted returns (a form of Internal Rate of Return (IRR)) to assess the properties of actual investor returns on hedge funds and compare them to buy-and-hold fund returns. Our main finding is that annualized dollar-weighted returns are on the magnitude of 3% to 7% lower than corresponding buy-and-hold fund returns. Using factor models of risk and the estimated dollar-weighted performance gap, we find that the real alpha of hedge fund investors is close to zero. In absolute terms, dollar-weighted returns are reliably lower than the return on the Standard & Poor's (S&P) 500 index, and are only marginally higher than the risk-free rate as of the end of 2008. The combined impression from these results is that the return experience of hedge fund investors is much worse than previously thought.     

Hedge funds and financial stability: Regulating prime brokers will mitigate systemic risks

We review key characteristics of the hedge fund industry, and identify conditions under which this sector can pose a threat to financial stability. Direct regulation of hedge funds that increases transparency does not appear feasible, may create a moral-hazard problem, and may reduce market liquidity. Indirect regulation by prime brokers and market discipline by creditors, counterparties, and investors have been effective in limiting the risks from the hedge fund sector. To reduce systemic risks, more regulation of prime brokers is warranted to avoid competitive dynamics from undermining counterparty risk management practices.     

Risk factors in Australian bond returns

This study examines the risk factors in Australian bond returns. The study quantifies bond liquidity and estimates a liquidity risk factor in the Australian setting. We develop a three‐factor asset pricing framework that uses term, default and liquidity risk factors to explain the variation of Australian bond returns. Our findings corroborate the US evidence on the pervasiveness of these risk factors faced by bond investors. The three‐factor model developed in this study has practical applications when calculating the cost of debt, evaluating the performance of an active bond fund manager and hedging underlying risk in a bond portfolio.     

Benchmarking Australian fixed interest fund performance: finding the optimal factors

In this paper, we analyse the performance of Australian fixed interest managed funds and assess multiple benchmarks through which such performance can be reliably measured. We examine the effectiveness of seven indices of bond performance, as well as factors impacting on fixed interest asset values and, hence, returns, including interest rate fluctuations, economic fundamentals, maturity risk, default risk and cross‐market influences. We test all combinations of factors in cross‐section and time series to find the optimum benchmark. The results, consistent across time, show that a correct combination of a fund‐based market variable, a mixture of interest rate factors and economic factors as well as a proxy for movements in the equity markets yield the optimal benchmark.