Socially responsible funds and market crises

Compared to matched conventional mutual funds, socially responsible mutual funds outperform during periods of market crises. This dampening of downside risk comes at the cost of underperforming during non-crisis periods. Investors seeking downside protection would value the asymmetry of these returns. This asymmetric return pattern is driven by the mutual funds that focus on environmental, social, or governance (ESG) attributes and is especially pronounced in ESG funds that use positive screening techniques. Furthermore, the observed patterns are attributed to the funds’ socially responsible attributes and not the differences in fund portfolio management or the characteristics of the companies in fund portfolios.     

基金业绩排名与基金经理的冒险行为

本文利用2005-2010年间开放式股票型和混合型基金的数据,研究年度基金业绩排名对基金经理冒险行为的影响。与相对业绩排名激励机制会导致基金经理过度冒险的假设相一致,本文发现,年中业绩排名靠后的基金经理(输家)在下半年提高所持有资产组合的风险的程度要大于年中业绩排名靠前的基金经理(赢家)。进一步研究发现,基金经理提高下半年所持有资产组合的风险并不能显著提高下半年基金的业绩。特别是在熊市中,提高下半年所持有资产组合的风险反而显著降低了基金下半年的业绩。     

The effect of downside risk reduction on UK equity portfolios included with Managed Futures Funds

The concept of asymmetric risk estimation has become more widely applied in risk management in recent years with the increased use of Value-at-risk (VaR) methodologies. This paper uses the n-degree lower partial moment (LPM) models, of which VaR is a special case, to empirically analyse the effect of downside risk reduction on UK portfolio diversification and returns. Data on Managed Futures Funds are used to replicate the increasingly popular preference of investors for including hedge funds and fund-of-funds type investments in the UK equity portfolios. The result indicates, however that the potential benefits of fund diversification may deteriorate following reductions in downside risk tolerance levels. These results appear to reinforce the importance of risk (tolerance) perception, particularly downside risk, when making decisions to include Managed Futures Funds in UK equity portfolios as the empirical analysis suggests that this could negatively affect portfolio returns.     

Mutual fund tournaments and fund Active Share

We study the impact of the tournament-like competition in the mutual fund industry by examining the Active Share choices of funds. Funds with relatively poor performance by the end of the third quarter in a calendar year tend to increase their Active Share during the last quarter. The increase in the trailing funds’ Active Share is accompanied by an increase in the funds’ downside risk exposure. The evidence suggests that the strategic shifts in Active Share we document are not information/skill motivated.     

Equity fund ownership and the cross-regional diversification of household risk

We explore the link between portfolio home bias and consumption risk sharing among Italian regions using household-level information on consumption, income and portfolio holdings. Since equity funds are typically diversified at the national or international level, we use data on equity fund ownership to proxy for regional home bias. Cross-regional patterns of equity fund ownership are qualitatively consistent with simple portfolio theory: regions with more asymmetric business cycles are more diversified because they have higher fund participation rates (the extensive margin of diversification) and higher average holdings of equity funds (diversification’s intensive margin). Also, fund holdings increase with the exposure of non-tradable income components (such as labor or entrepreneurial income) to regional shocks. Finally, interregional consumption risk sharing increases with fund holdings and this effect seems strongest when participation is widespread. Increased equity market participation could substantially improve interregional risk sharing.     

Performance analysis of a collateralized fund obligation (CFO) equity tranche

This article examines the performance of the junior tranche of a collateralized fund obligation (CFO), i.e. the residual claim (equity) on a securitized portfolio of hedge funds. We use a polynomial goal programming model to create optimal portfolios of hedge funds, conditional to investor preferences and diversification constraints (maximum allocation per strategy). For each portfolio, we build CFO structures that have different levels of leverage, and analyze both the stand-alone performance as well as potential diversification benefits (low systematic risk exposures) of investing in the equity tranche of these structures. We find that the unconstrained mean-variance portfolio yields a high performance, but greater exposure to systematic risk. We observe the exact opposite picture in the case of unconstrained optimization, where a skewness bias is added, thus proving the existence of a trade-off between stand-alone performance and low exposure to systematic risk factors. We provide evidence that leveraged exposure to these hedge fund portfolios through the structuring of CFOs creates value for the equity tranche investor, even during the recent financial crisis.     

Global equity fund performance, portfolio concentration, and the fundamental law of active management

This paper investigates the relation between portfolio concentration and the performance of global equity funds. Concentrated funds with higher levels of tracking error display better performance than their more broadly diversified counterparts. We show that the observed relation between portfolio concentration and performance is mostly driven by the breadth of the underlying fund strategies; not just by fund managers’ willingness to take big bets. Our results indicate that when investors strive to select the best-performing funds, they should not only consider fund managers’ tracking-error levels. More important is that they take into account the extent to which fund managers carefully allocate their risk budget across multiple investment strategies and have concentrated holdings in multiple market segments simultaneously.     

基金投资风格的极端性与业绩研究

本文首次从综合性视角考察基金投资风格的极端性与其业绩之间的关系。采用投资风格极端性指数和行业集中度作为投资风格的测度,研究发现投资风格的极端性与基金业绩成反比,即投资风格越极端,基金的收益越差。因此,我们建议基金经理在做出投资策略时,应当遵循稳健的投资风格与分散化投资,当发现自己的投资组合风险较大或有明显的行业偏重时,及时做出调整。对于风格极端的基金投资组合,应保持谨慎的态度。     

Integrating Systemic Risk into Modern Portfolio Theory and Practice

Conventional wisdom holds that the performance of investment managers should be measured against some broad market index such as the S&P 500. The broad market averages provide a useful benchmark because they are assumed to be beyond the influence of investment managers and provide a way of capturing what financial economists call “systematic risk,” which is the part of total risk that cannot be avoided through portfolio diversification. But one clear limitation of such an approach to performance evaluation is that by focusing on risks and rewards at the portfolio level only, it fails to consider risks and rewards at a systemic level, where the performance of all portfolios is increasingly likely to be affected. The author begins by making the case that the performance evaluation and collective decision‐making of investment managers could have the effect of increasing the level of systematic risk in both the markets and the real economy. Then, after suggesting that the strength or weakness of environmental, social, and governance (ESG) frameworks can have substantial effects on overall market returns, he discusses a number of efforts currently underway to integrate ESG factors into portfolio‐level decision‐making. The author closes by urging asset owners to take the following three steps to help bridge the gap between investment decision‐making and ESG consequences: (1) acknowledge the connection between investment decision‐making and systems‐level risks and rewards; (2) determine which systemic frameworks are most appropriate and useful for their purposes; and (3) implement investment practices that allow them to manage systemic‐level risks and rewards while simultaneously achieving competitive financial returns in their portfolios. With the help of new measurement and management tools, asset owners can strengthen systemic frameworks, communicate the importance of ESG performance to their investees and investors, and align their efforts with those of governmental and non‐governmental organizations to limit systemic risk.     

Commonalities in investment strategy and the determinants of performance in mutual fund mergers

This paper examines the determinants of cross-sectional variation in post-merger mutual fund performance. Mergers between funds with similar management objectives, as reflected by average portfolio book-to-market ratio, price–earnings ratio, beta and market capitalization values, outperform mergers between funds with dissimilar strategies. This superior performance transcends lower portfolio rebalancing costs which might be realized between merging funds which hold more assets in common. These results suggest that mutual fund mergers create collaborative benefits between funds with similar strategies. We also examine if fund governance structures influence the fund pairing process, testing if stronger fund oversight mitigates pairing mismatches. We find that less independent boards of trustees and boards with higher compensation are related to greater strategic mismatches between funds. These results suggest that more entrenched boards are more tolerant of fund mismatches which benefit the investment company, yet are not in investor’s best interests.     

Convertible Bond Arbitrage: Risk and Return

Abstract:  This paper specifies a simulated convertible bond arbitrage portfolio to characterise the risks in convertible bond arbitrage. For comparison the risk profile of convertible bond arbitrage hedge fund indices at both monthly and daily frequencies is also examined. Results indicate that convertible bond arbitrage is positively related to default and term structure risk factors. These risk factors are augmented with the simulated convertible bond arbitrage portfolio, mimicking a passive investment in convertible bond arbitrage, to assess the risk and return of individual hedge funds. We provide estimates of the performance of two hedge fund indices (an equally weighted and value weighted index) and a sample of convertible bond arbitrage hedge funds using a factor model methodology. Lagged and contemporaneous observations of the risk factors are specified, controlling for illiquidity in the securities held by funds. Our results cover two time periods. Initially we find evidence of abnormal risk adjusted returns in the individual hedge fund data and the equally weighted hedge fund index and no evidence of abnormal risk adjusted returns in the value weighted hedge fund index. When we examine performance during the credit crisis of 2007 and 2008 we find evidence of negative abnormal returns amongst individual hedge funds and the hedge fund indices.     

Evaluating Mutual Fund Performance

We study standard mutual fund performance measures, using simulated funds whose characteristics mimic actual funds. We find that performance measures used in previous mutual fund research have little ability to detect economically large magnitudes (e.g., three percent per year) of abnormal fund performance, particularly if a fund's style characteristics differ from those of the value-weighted market portfolio. Power can be substantially improved, however, using event-study procedures that analyze a fund's stock trades. These procedures are feasible using time-series data sets on mutual fund portfolio holdings.     

Risk Measures for Hedge Funds: a Cross‐sectional Approach

This paper analyses the risk‐return trade‐off in the hedge fund industry. We compare semi‐deviation, value‐at‐risk (VaR), Expected Shortfall (ES) and Tail Risk (TR) with standard deviation at the individual fund level as well as the portfolio level. Using the Fama and French (1992) methodology and the combined live and defunct hedge fund data from TASS, we find that the left‐tail risk captured by Expected Shortfall (ES) and Tail Risk (TR) explains the cross‐sectional variation in hedge fund returns very well, while the other risk measures provide statistically insignificant or marginally significant results. During the period between January 1995 and December 2004, hedge funds with high ES outperform those with low ES by an annual return difference of 7%. We provide empirical evidence on the theoretical argument by Artzner et al. (1999) that ES is superior to VaR as a downside risk measure. We also find the Cornish‐Fisher (1937) expansion is superior to the nonparametric method in estimating ES and TR.     

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.     

Fund manager conviction and investment performance

This paper examines the role conviction plays in asset management and its relationship with investment returns. We measure the strength of fund manager conviction through a fund's Active Share, i.e., the extent to which an investment portfolio differs from its benchmark index. First, we show fund manager conviction increases following both superior and, surprisingly, inferior past performance, and more so among solo-managed than team-managed funds. Second, and more importantly, we find an inverse-U relationship between conviction and subsequent performance. High levels of conviction proxied by high Active Share are associated with lower future returns and greater fund risk. Our study also illustrates an asymmetric investor reaction to fund manager conviction in the form of higher (lower) fund inflows rewarding good performance by high (low) conviction managers, but no pronounced penalties for poor performance, ceteris paribus.     

基于规模与风格的证券投资基金最优组合构建研究

本文选择中国2004年10月1日前成立的8种投资风格共133只证券投资基金,根据其在2005年1月1日-2008年3月31日共161周的数据,依照非回置等权抽样方法构建基金组合。在研究了基金组合规模与组合风险和绩效关系的基础上,着重探讨了基金组合所含风格类型以及基金组合风格丰富化指标与组合风险和绩效的关系。在上述研究的基础上,论文提出了综合规模和风格双因素的基金最优组合构建原则,并得出了最适度风格类型模型和最适度风格丰富化指标模型。     

Fund portfolio networks: A climate risk perspective

Within Europe, investment funds are more exposed to climate-sensitive economic sectors than banks, insurers, and pension funds. However, few climate-related financial risk assessments of the fund sector have been conducted. We use 8 trillion EUR of fund portfolio holdings to help fill this gap, using the network of portfolio overlaps. Funds with more polluting portfolios (brown funds) invest across more firms than funds with cleaner portfolios (green funds). This apparent diversification hides a concentration risk: brown funds are more closely connected with each other (have more similar portfolios) than green funds, which tend to herd less (have less similar portfolios with each other). This suggests that, in the event of a widespread climate-related financial shock, brown funds will face greater stress levels than green funds. A climate risk scenario exercise confirms this: among total system losses of 443 billion EUR, brown funds' losses are typically between two and three times higher than green funds' losses. Brown funds also have more systemic impact: because they play a more central role in the investment fund network, brown funds contribute twice as much towards system-wide losses as green funds. These findings suggest that, despite the growing attention paid to sustainable investing, systemic vulnerabilities remain and many funds' portfolio diversification approaches do not yet adequately incorporate climate risk.     

Hedge fund allocation: Evaluating parametric and nonparametric forecasts using alternative portfolio construction techniques

We propose a model for constructing Asian funds of hedge funds. We compare the accuracy of forecasts of hedge fund returns using an ordinary least squares (OLS) regression model, a nonparametric regression model, and a nonlinear nonparametric model. We backtest to assess these forecasts using three different portfolio construction processes: an “optimized” portfolio, an equally-weighted portfolio, and the Kelly criterion-based portfolio. We find that the Kelly criterion is a reasonable method for constructing a fund of hedge funds, producing better results than a basic optimization or an equally-weighted portfolio construction method. Our backtests also indicate that the nonparametric forecasts and the OLS forecasts produce similar performance at the hedge fund index level. At the individual fund level, our analysis indicates that the OLS forecasts produce higher directional accuracy than the nonparametric methods but the nonparametric methods produce more accurate forecasts than OLS. In backtests, the highest information ratio to predict hedge fund returns is obtained from a combination of the OLS regression with the Fung–Hsieh eight-factor variables as predictors using the Kelly criterion portfolio construction method. Similarly, the highest information ratio using forecasts generated from a combination of the nonparametric regression using the Fung–Hsieh eight-factor model variables is achieved using the Kelly criterion portfolio construction method. Simulations using risk-adjusted total returns indicate that the nonparametric regression model generates superior information ratios than the analogous backtest results using the OLS. However, the benefits of diversification plateau with portfolios of more than 20 hedge funds. These results generally hold with portfolio implementation lags up to 12 months.     

Can investors benefit from the performance of alternative UCITS funds?

We study the performance persistence of alternative UCITS funds, which are a hybrid between mutual funds and hedge funds. Persistence is gauged by alternative measures of performance and risk. Based on contingency tables, we find that performance persists for up to 2 years following ranking. However, persistence is stronger in the short run, and ranked portfolio tests indicate that investors can benefit from persistence for only up to 1 year. The evidence for persistence in risk is ambiguous. We link fund characteristics to performance persistence and find that offshore hedge fund experience enhances persistence. Our results are robust against survivorship bias and other potential database biases.     

Cautious Risk Takers: Investor Preferences and Demand for Active Management

Despite their mediocre mean performance, actively managed mutual funds are distinct from passive funds in their return distributions. Active value funds better hedge downside risk, while active growth funds better capture upside potential. Since such performance features may appeal to investors with tail‐overweighting preferences, we show that preferences for downside protection and upside potential estimated from the empirical pricing kernel can help explain active fund flows in the value and growth categories, respectively. This effect of investor risk preferences varies significantly with funds' downside‐hedging and upside‐capturing ability, with levels of active management, and across retirement and retail funds.