European Mutual Fund Performance

This paper presents an overview of the European mutual fund industry and investigates mutual fund performance using a survivorship bias controlled sample of 506 funds from the five most important mutual fund countries. The latter is done using the Carhart (1997) 4-factor asset-pricing model. In addition we investigate whether European fund managers exhibit 'hot hands', persistence in performance. Finally the influence of fund characteristics on risk-adjusted performance is considered. Our overall results suggest that European mutual funds, and especially small cap funds are able to add value, as indicated by their positive after cost alphas. If we add back management fees, four out of five countries exhibit significant out-performance at an aggregate level. Finally, we detect strong persistence in mean returns for funds investing in the UK. Our results deviate from most US studies that argue mutual funds under-perform the market by the amount of expenses they charge.     

Informed trading around earnings and mutual fund alphas

We examine whether informed trading around earnings announcements drives mutual fund performance. The measure is motivated by prior studies arguing that a mutual fund is skilled if it buys stocks with subsequent high earnings announcement returns. We find that this measure predicts future mutual fund returns. On average, after adjusting for Carhart’s four risk factors, the top decile of mutual funds outperforms the bottom decile by 44 basis points per quarter. By decomposing fund alphas into two components in their relations to earnings, we find that this measure is only associated with earnings-related fund alphas. This measure can also be used to predict stock returns at future earnings announcements.     

Short-term persistence in hybrid mutual fund performance: The role of style-shifting abilities

Our study analyzes the performance of hybrid mutual funds. Based on two extended Carhart models we determine total fund performance by comparing fund returns to investable fund-specific style benchmarks. Using daily returns and a quarterly measurement interval, we present an innovative return-based approach to decompose total performance into in-quarter abnormal performance and style-shifting performance. In addition, we split total style-shifting performance into active and passive components. In this context, we confirm possible benefits of these performance measures by analyzing several simulated investment strategies. Our empirical study covers 520 hybrid mutual funds from 10/1998 to 12/2009 and shows that hybrid mutual funds (i) do not outperform their benchmarks on average, (ii) partially show positive in-quarter abnormal performance and style-shifting abilities, and (iii) exhibit short-term persistence in in-quarter abnormal performance but not in style-shifting abilities.     

Ethical investing in Australia: Is there a financial penalty?

This study provides new evidence on the performance and investment style of retail ethical funds in Australia. By applying a conditional multi-factor model and after controlling for investment style, time-variation in betas and home bias, we observe no evidence of significant differences in risk-adjusted returns between ethical and conventional funds during 1992–2003. This result however is sensitive to the chosen time period. During 1992–1996 domestic ethical funds under-performed their conventional counterparts significantly, whereas during 1996–2003 ethical funds matched the performance of conventional funds more closely. This suggests that ethical mutual funds underwent a catching up phase, before delivering returns similar to those of conventional mutual funds.     

Implied volatility and future portfolio returns

Prior studies find that the CBOE volatility index (VIX) predicts returns on stock market indices, suggesting implied volatilities measured by VIX are a risk factor affecting security returns or an indicator of market inefficiency. We extend prior work in three important ways. First, we investigate the relationship between future returns and current implied volatility levels and innovations. Second, we examine portfolios sorted on book-to-market equity, size, and beta. Third, we control for the four Fama and French [Fama, E., French, K., 1993. Common risk factors in the returns on stocks and bonds. Journal of Financial Economics 33, 3–56.] and Carhart [Carhart, M., 1997. On persistence in mutual fund performance. Journal of Finance, 52, 57–82.] factors. We find that VIX-related variables have strong predictive ability.     

A comparative performance of conventional and Islamic unit trusts: Market timing and persistence evidence

It is expected that the returns and resistance of Islamic mutual funds will be different from conventional mutual funds as the former have limited choices for portfolio diversification. This article analyses the performance of conventional and Islamic unit trusts for the period February 1995 to July 2012 in the Malaysian market, one of the most developed Islamic mutual fund markets. The performance analysis is based on four parameters: (i) risk-adjusted returns of unit trusts; (ii) market timing abilities; (iii) selection performance; and (iv) persistence. The results of this study suggest that the returns of both conventional and Islamic unit trusts have outperformed the market throughout the sample period. The results for market timing and selectivity are mostly the same for both categories of funds. However, Islamic unit trusts seem to have better resistance to market downturn than conventional unit trusts. The results of this research can be used by investors to identify funds or create portfolios that are more suitable for a recessionary scenario and for fund managers to better manage their portfolio performance during times when markets are likely to fall. The findings in this article are highly relevant for policymakers, investors and fund managers to determine policy matters, deciding on investment and marketing strategy for Islamic mutual funds.     

The holdings markup behavior of mutual funds: evidence from an emerging market

This paper uncovers a seasonal mutual fund holdings markup pattern in Taiwan’s market. Specifically, we find that fund’s equity holdings jump up significantly at the quarter-ends and year-end while drop back immediately to the previous level in the following month. While the holdings markup pattern found in this paper may look similar to the price markup phenomenon found by Carhart et al. (J Finance 57:661–693, 2002), the mechanism used by fund managers in the performance inflation may be quite different. In specific, while Carhart et al. (J Finance 57:661–693, 2002) document that fund managers use the stocks currently held in their portfolio to mark up the fund performance, we find that fund managers in fact use both the stocks already held in their portfolio and the new stocks to mark up their holdings. Furthermore, Carhart et al. (J Finance 57:661–693, 2002) do not explicitly examine if there exists a holdings markup in addition to the price markup. In this study, we fill this gap by directly exploring the holdings markup behavior by the fund managers. We also identify the specific stock characteristics that fund managers prefer in their holdings markup. In specific, fund managers prefer to trade growth stocks, stocks with larger market capitalization, higher institutional ownership, higher quality of earnings, and stocks in the high-tech industry, to inflate the fund performance. We also find that fund managers tend to avoid stocks that are herded by other funds.     

Is ethical money financially smart? Nonfinancial attributes and money flows of socially responsible investment funds

We study the money flows into and out of socially responsible investment (SRI) funds around the world. In their investment decisions, investors in SRI funds may be more concerned with ethical or social issues than with fund performance. Therefore, SRI money flows are less related to past fund returns. Ethical money is less sensitive to past negative returns than are conventional fund flows, especially when SRI funds primarily use negative or Sin/Ethical screens. Social attributes of SRI funds weaken the relation between money inflows and past positive returns. However, money flows into funds with environmental screens are more sensitive to past positive returns than are conventional fund flows. Stock picking based on in-house SRI research increases the money flows. These results give evidence on the role of nonfinancial attributes, which induce heterogeneity of investor clienteles within SRI funds. We find no evidence of a smart money effect, as the funds that receive more inflows neither outperform nor underperform their benchmarks or conventional funds.     

The performance of US bond mutual funds

We evaluate the performance of the US bond mutual fund industry using a comprehensive sample of bond funds over a long time period from January 1998 to February 2017. In this one study, we examine bond fund selectivity, market timing and performance persistence. We evaluate bond funds relative to their self-declared benchmarks and in terms of both gross-of-fee returns and net-of-fee returns. We document considerable abnormal performance among funds both to the fund (gross returns) and to the investor (net returns). Bond fund performance is found to be superior in the post financial crisis period. However, past strong performance cannot be relied upon to predict future performance. Finally, while some funds exhibit market timing ability; we find a predominance of negative market timing among US bond mutual funds.     

基金管理公司股权结构与基金绩效研究

本研究采用2004～2010年期间的开放式股票型基金为样本,应用Carhart的四因子模型作为衡量基金投资质量与绩效的评价指标,以基金管理公司的股权结构为切入点,研究基金管理公司组织与股权结构对旗下基金绩效的影响。在控制了基金特征和基金经理特征后,我们发现国有控股和中外合资基金管理公司旗下的基金绩效较好。表明我国基金行业存在国有资本的帮助之手效应;此外,外资参股有利于提高基金业绩。     

Eliminating look-ahead bias in evaluating persistence in mutual fund performance

Performance persistence studies typically suffer from ex-post conditioning biases. As stressed by Carhart [Carhart, M.M., 1997. Mutual Fund Survivorship, Working Paper, Marshall School of Business, U.S.C.] and Carpenter and Lynch [J. Financ. Econ. 54 (1999) 337.], standard methods of analysis on a survivorship free sample are subject to look-ahead biases. In this paper, we show how one can easily correct for look-ahead bias using weights based on probit regressions.First, we model how survival probabilities depend upon historical returns, fund age and aggregate economy-wide shocks, using two samples of US based ‘income’ and ‘growth’ funds. Subsequently, we employ a Monte Carlo study to analyze the size and shape of the look-ahead bias in performance persistence that arise when a survivorship free sample is used with standard techniques. In particular, we show that look-ahead bias induces a spurious U-shaped pattern in performance persistence. Finally, we demonstrate how a weighting procedure based upon probit regressions can be used to correct for this bias. In this way, we obtain look-ahead bias-corrected estimates of abnormal performance relative to a one-factor and the Carhart [J. Finan. 52 (1997) 57.] four-factor model, as well as its persistence. The results suggest that in this sample, look-ahead bias is of minor importance and does not seriously affect estimates of persistence. Our bias-corrected results closely correspond to the findings of Carhart [J. Finan. 52 (1997) 57.], implying that there is no evidence on a risk-adjusted basis for persistence in performance.     

Explaining persistence in mutual fund performance

This study investigates the determinants of persistence in mutual fund performance. Previous research that uses factor-mimicking portfolios and characteristic benchmarks to model fund performance fails to explain all the persistence in fund returns. This study employs a model that directly relates mutual fund returns to the characteristics of the stocks held by funds. Adjusting fund returns for the size of the stocks in which funds invest and financial ratios intended to capture fund manager investment styles explains all the persistence in mutual fund returns from 1976–1985, the period in which persistence is most prevalent.     

A new family of equity style indices and mutual fund performance: Do liquidity and idiosyncratic risk matter?

We propose and test novel multifactor models of daily mutual fund performance. To this aim, we set up equity style indices and derive risk factors, which nest the established Fama and French (1992) and Carhart (1997) factors. We add two additional risk factors, namely idiosyncratic risk and Amihud (2002) liquidity. Our sample contains 528 actively managed mutual funds with European stock market focus during 2002 to 2009. Model estimation reveals that—while market excess return and size appear significant for the cross-section of all funds—the remainder factors explain the performance of subsets of funds. About one third of the funds exhibit significant factor sensitivities not only with respect to valuation or momentum, but also with respect to liquidity or idiosyncratic risk. No single risk factor is dominated and hence our six factor model may serve as a valid performance benchmark. In a four factor model setting, the Carhart model and a model with valuation replaced by liquidity perform best. Our results remain stable under various robustness checks. We further document that managers on average prefer liquid stocks, show no aggregate idiosyncratic risk preference and deliver results that are consistent with equilibrium models of fund performance.     

Performance Chasing,Fund Flows and Fund Size in Real Estate Mutual Funds

Real estate mutual funds have grown dramatically in number, size, scope and assets under management over the last 15 years, but little assessment is evident. The present study addresses this limitation. Better prior period performance is associated with greater shares of fund inflows for a period. Returns, however, are negatively associated with increased fund flows and fund size. Investors chase past performance limiting fund managers’ ability to optimize investments. Under normal market conditions, but departing from typical mutual fund performance, real estate mutual fund returns generally exceed relevant benchmarks on a before expenses basis and match benchmark returns after expenses. The ability to meet and exceed benchmark returns, however, does not hold during the financial crisis period. Overall, more established funds are shown to have higher returns while fund turnover is not a determinant of returns.     

Active management, fund size, and bond mutual fund returns

Conventional wisdom holds that bonds are relatively homogenous investments compared to equities. Consequently, factors that explain variation in returns among bond mutual funds may differ in magnitude from those for equity mutual funds. In this study, a time-series cross-sectional analysis is employed to investigate the relationship between a bond fund's risk-adjusted return and specific fund attributes. Results indicate that a bond fund's past performance does not predict future performance and that bond fund managers are generally ineffective at increasing risk-adjusted returns. However, unlike equity mutual funds, bond mutual funds do appear to enjoy economies of scale.     

HEDGE FUNDS: WHAT DO WE KNOW?

Hedge funds are attracting increased attention because of their reputation for earning superior (risk-adjusted) returns. Hedge Fund Research Inc. estimates that in 2001 there were about 7,000 hedge funds with investor capital of about $600 billion. And yet the diversity of hedge funds, combined with a general lack of transparency, makes the hedge fund industry something of a "black box."
This article provides an overview of the legal structure of hedge funds, the various fund investment strategies, and the existing research on overall hedge fund performance. Without uniform and comprehensive reporting requirements, it is difficult to ascertain the size and scope of hedge fund investments. Nonetheless, current research provides persuasive evidence that hedge funds earn positive risk-adjusted returns, on average, in contrast to their counterparts in the mutual fund industry. In an attempt to explain these higher returns, the authors begin by noting that hedge funds are subject to considerably less regulation than other investment institutions because their client base is limited to wealthy individuals and institutions. Hedge funds can thus employ investment strategies that mutual funds and pension funds are prohibited from pursuing, such as short selling, high leverage, derivatives, concentrated holdings, and limited redemptions. As a result, the funds may be able to earn excess returns by operating in illiquid and specialized markets where there is a shortage of arbitrage capital. At the same time, and perhaps even more important, hedge funds are in a better position than conventional mutual funds to attract skilled managers because of their use of performance-based incentive fee structures.     

Do liquidity and idiosyncratic risk matter? Evidence from the European mutual fund market

This paper examines the interaction of idiosyncratic risk, liquidity and return across time in determining fund performance, as well as across investment style portfolios of European mutual funds. This study utilizes a unique data set including returns for equity mutual funds registered in six European countries. Overall, using monthly data, we find that both liquidity and idiosyncratic risk are relevant in determining mutual fund returns. Our results are robust across different model specifications. We show that model specifications up to six factors are useful as these risk factors capture different aspects in the cross-section of mutual funds returns. The evidence regarding mutual funds subgroups is strongly in favor of the significance of liquidity, and idiosyncratic risk to a lesser extent, as risk factors. Even if liquidity and idiosyncratic risk are considered at the same time, one factor is not significantly decreasing the importance of the other factor.     

Taiwanese Mutual Fund Performance Under Different Central Bank of China Monetary Policy Environments

This study examines the performance of mutual funds under different Central Bank of China monetary policy environments in the emerging Taiwan market. To measure monetary policy changes effectively, we exploit changes in the discount rate and further categorize the monetary environment as either restrictive or expansive. We consider a restrictive monetary environment to be a period in which the discount rate rises, whereas an expansive monetary condition is a period in which the discount rate drops. It is found that all mutual funds, both domestic and international funds, exhibit a higher mean return, lower risk, and higher Sharpe and Treynor ratios under expansive monetary policy environments. Regression results show that domestic mutual fund returns are related significantly to local monetary policy. Furthermore, after controlling for the possible effect of macro factors on the association between the monetary policy dummy variable and mutual fund returns, the significant influence of monetary policy on domestic mutual fund returns remains robust. In contrast, changes in U.S. monetary policy stringency, in general, do not affect the performance of either domestic or international mutual funds in Taiwan.     

INVESTMENT PERFORMANCE OF INTERNATIONAL MUTUAL FUNDS

In this paper we add several new perspectives to the growing body of empirical evidence on the investment performance of international mutual funds by applying a pooled cross-sectional/time-series regression methodology to a large data base over an extended period. Risk-adjusted and unadjusted investment returns are not related to whether a fund is load or no-load, and asset size, expense ratios, and turnover rates are not related to investment performance. We find no reward for paying a load fee when investing in mutual funds. It is noteworthy that performance is not affected by fund size, given the explosive growth of international mutual funds.     

Picking funds with confidence

We present a new approach to selecting actively managed mutual funds that uses both portfolio holdings and fund return information to eliminate funds with predicted inferior performance through a sequence of pairwise fund comparisons. Our methodology determines both the number of skilled funds and their identities, and locates funds with substantially higher risk-adjusted returns than those identified by conventional alpha-ranking methods. We find strong evidence of time-series variation in both the number of funds identified as superior using our approach, as well as in their performance across different economic states.