Investing in mutual funds when returns are predictable

This paper forms investment strategies in US domestic equity mutual funds, incorporating predictability in (i) manager skills, (ii) fund risk loadings, and (iii) benchmark returns. We find predictability in manager skills to be the dominant source of investment profitability—long-only strategies that incorporate such predictability outperform their Fama-French and momentum benchmarks by 2 to 4%/year by timing industries over the business cycle, and by an additional 3 to 6%/year by choosing funds that outperform their industry benchmarks. Our findings indicate that active management adds significant value, and that industries are important in locating outperforming mutual 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.     

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.     

Risk-taking and performance of government bond mutual funds

This paper investigates the risk exposures of government bond mutual funds and how risk-taking behavior affects fund performance. Government bond mutual funds often outperform their respective benchmark bond indexes before but not after adjusting for bond market risk factors. We show that the risk-taking behavior of fund managers helps to explain the different performances of government bond funds with and without controlling for the risk factors. Our results suggest that risk-taking leads to higher returns relative to benchmarks in normal risk periods but lower returns in high risk periods, suggesting that fund managers consistently take risky bets in fund management. We further show that the risk-taking of government bond funds is persistent and that investors typically have no ability to differentiate between the skill and risk components of fund performance. These findings suggest why fund managers have incentives to take consistently risky positions.     

Benchmark Invariancy,Seasonality and APM-Free Portfolio Performance Measures

The Jobson-Korkie (1981) Z score and the positive period weighting (PPW) score of Grinblatt and Titman (1989) are applied to various benchmarks of market and mimicking portfolios to study the benchmark invariancy problem. Significantly different portfolio performance inferences are found for a sample of 146 equity mutual funds depending on the mean-variance efficiency of the portfolio benchmarks (mimicking portfolios versus market indices). Portfolio performance inferences are affected significantly by the number of factors, nonsynchronous trading adjustment, and the sizes of the firms used for factor extraction. The returns of the portfolio benchmarks exhibit significant monthly seasonalities, which, in turn, significantly influence mutual fund performance inferences.     

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.     

Incentives, Discretion, and Asset Valuation in Closed–End Mutual Funds

This paper studies earnings management using 363 closed–end mutual fund firm–years of data. Closed–end fund assets consist of unrestricted and restricted securities, and realized and unrealized income. While unrestricted securities are not subject to earnings management, restricted security values are largely discretionary. Managerial valuation of restricted securities is modeled as contingent on unrestricted returns relative to a performance benchmark. Four unrestricted performance regions are identified. Known multi–period compensation incentives become the basis for hypothesizing earnings management behaviors in the regions in the form of restricted security valuation. Across several benchmarks, the results are consistent with multi–period maximization rather than simpler single–period compensation maximization or income smoothing. Funds with extreme unrestricted performance show relatively larger income–decreasing earnings management, and funds with slightly–below benchmark returns show relatively larger income–increasing earnings management than those slightly above. These results clarify the relationship between complex earnings management behavior and managerial incentives.     

Does the size of a fund family matter when choosing an investment strategy? Evidence from spain

This paper aims to determine whether the size of a fund family influences investment strategy (stock picking or market timing) in the Spanish mutual fund market. This is a highly concentrated market, being controlled by two banks with a percentage of 46%. The impact of considering time-varying returns and risks on selectivity and market timing results is also assessed. Our results indicate that large management companies follow a market timing strategy, while small management companies are better at stock picking. These results are more obvious when conditional information is included. Additional tests are carried out to check the robustness of our results. We observe that the results obtained for large and small management companies are maintained when we control for fund size and when we introduce additional benchmarks into the timing model. However, when the time period is divided into two subperiods, the results are no longer robust. This may be connected to the evolution of returns in the Spanish market.     

Performance evaluation and self-designated benchmark indexes in the mutual fund industry

Almost one-third of actively managed, diversified U.S. equity mutual funds specify a size and value/growth benchmark index in the fund prospectus that does not match the fund's actual style. Nevertheless, these “mismatched” benchmarks matter to fund investors. Performance relative to the specified benchmark is a significant determinant of a fund's subsequent cash inflows, even controlling for performance measures that better capture the fund's style. These incremental flows appear unlikely to be rational responses to abnormal returns. The evidence is consistent with the notion that mismatched self-designated benchmarks result from strategic fund behavior driven by the incentive to improve flows.     

Synthetic hedge funds

We provide evidence on the performance and the replication success of a broad sample of 72 synthetic hedge funds from January 2009 to December 2013. Thereby, we assign the term “synthetic hedge fund” to mutual funds and exchange-traded funds with hedge fund indices as their benchmarks. Replication success is measured through different perspectives from distributional characteristics to risk-adjusted performance. We find an overall significant underperformance of synthetic hedge funds compared to an appropriate benchmark index. Furthermore, mutual funds (associated with active portfolio management) can produce return characteristics closer to hedge fund benchmarks than exchange-traded funds (associated with passive management) can. From a single strategy perspective, we find a picture of heterogeneity. Regarding the market environment, we show larger return differences for unusual market conditions than for regular ones.     

Performance attribution of mutual funds in India: outperformance or mis‐representation?

We conduct a novel holdings‐based performance attribution, particularly suited to emerging markets, for equity‐oriented active mutual funds in India. Although, we find significantly positive alphas for an average fund, the stated benchmarks are grossly mis‐specified. A style‐adjusted benchmark could beat the stated benchmarks by greater margins than the funds themselves. While funds’ trading activity consistently adds value, cash drag and market timing usually diminish value. Although, the best‐performing funds exhibit superior security selection abilities, their outperformance does not persist. However, despite the lack of persistence winner funds continue to generate significantly higher alphas than loser funds for quite some time.     

Starting on the wrong foot: Seasonality in mutual fund performance

We document a systematic seasonal component in the aggregate underperformance of active mutual funds. At the aggregate level, active funds underperform the market and other passive benchmarks only in the first month of a quarter. This intra-quarter performance seasonality holds across fund sizes and investment styles. The pattern is consistent with short-term stock return reversal effects along with aggregate window-dressing and, to a lesser extent, NAV-inflation practices around quarter-ends. We find marginal or no evidence of microstructure biases, fund investor flows, or cash distributions as sources of this seasonality. Our findings highlight new features of the active management underperformance puzzle.     

Pricing credit default swaps with bilateral value adjustments

The aim of this work is to examine the influence of mutual fund flows on market timing models, thus providing unbiased timing coefficients. However, as this control is motivated by the existing relationship between mutual fund flows and market returns, we first analyse this relationship, considering previous and concurrent market returns. However, unlike existing studies, we do not consider future returns, since investors do not observe them when making investment decisions. Thus, we feel it is more appropriate to consider expected market returns. We construct the expected market returns by running an AR model and considering the available public information about the macro-economy. The relationship is analysed under different conditions, considering a variety of different mutual fund flow measures, and considering (or not) the sensitivity of mutual fund flows to positive and negative market returns. We also propose different controls for the traditional timing models, and we further analyse the reverse-causality problem. The study demonstrates, for a sample of equity mutual funds registered for sale in the USA, that the poor market timing performance found in this and other prior studies can be completely attributed to the perverse effect of the fund managers’ liquidity service.     

Selectivity and Market Timing Performance of Fidelity Sector Mutual Funds

In this paper, we test the selectivity and timing performance of the Fidelity sector mutual funds during the 1989–1998 time period. We use the S&P 500, the Dow Jones Industry Group Total Return Indexes, and the Dow Jones Subgroup Total Return Indexes as benchmarks. When we use the Dow Jones Industry benchmarks, our results indicate that many sector fund managers have positive selectivity but negative timing ability. We also find that the results are sensitive to our choice of benchmark and timing model.     

The timing ability and global performance of Tunisian mutual fund managers: A multivariate GARCH approach

It is well-established in the financial literature that the global performance of mutual fund managers is the result of two skills: selectivity and market timing. This paper examines whether the multivariate Generalized Autoregressive Conditional Heteroskedasticity (GARCH) approach improves our perception of the global performance of fund managers compared with the unconditional approach and the conditional approach based on instruments. We find strong evidence that the multivariate GARCH method makes mutual fund performance looks better relative to the existent approaches, but this improvement in the global performance does not mean necessarily that mutual funds outperform traditional benchmarks. Indeed, mixed mutual funds yield neutral performance relative to benchmarks, whereas bond mutual funds generate significant positive global coefficients. The strong performance of bond fund managers comes from their ability to pick profitable bonds, not from their ability to time the market. Also, the empirical tests highlight that the best (worst) bond funds in the past remain at the top (bottom) of the ranking in the following years. These findings suggest that the Tunisian bond market presents strong opportunities for sophisticated investors.     

Seasonality in Fund Performance: An Examination of the Portfolio Holdings and Trades of Investment Managers

Abstract:  This study examines the extent to which seasonal variation arises across calendar months in the performance of active Australian equity managers. While it is well documented that there is seasonality in equity market returns, it is unknown whether calendar month variation in managed fund performance exists. Employing a unique database of monthly stock holdings, we find evidence consistent with systematic variation in the risk-adjusted performance of active investment managers over the calendar year. Specifically, we find fund performance is higher in the months when corporate earnings are announced. We also document that the performance of fund managers is lower in the months preceding the tax year-end. Finally, we report evidence that investment manager performance is greater than normal in December, possibly due to both window dressing and the Christmas holiday effect. These findings have important implications for investors attempting to exploit anomalies in fund returns by timing their entry and exit points from active equity funds.     

Mutual Fund Performance Evaluation: A Comparison of Benchmarks and Benchmark Comparisons

The authors' main goal in this paper is to ascertain whether conventional measures of abnormal mutual fund performance are sensitive to the benchmark chosen to measure normal performance. They employ the standard CAPM benchmarks and a variety of APT benchmarks to investigate this question. They find little similarity between the absolute and relative mutual fund rankings obtained from these alternative benchmarks, which suggests the importance of knowing the appropriate model for risk and return in this context. In addition, the rankings are not insensitive to the method used to construct the APT benchmark. Finally, they find statistically significant measured abnormal performance using all the benchmarks. The economic explanation for this phenomenon appears to be an open question.     

Luck versus Skill in the Cross‐Section of Mutual Fund Returns

The aggregate portfolio of actively managed U.S. equity mutual funds is close to the market portfolio, but the high costs of active management show up intact as lower returns to investors. Bootstrap simulations suggest that few funds produce benchmark‐adjusted expected returns sufficient to cover their costs. If we add back the costs in fund expense ratios, there is evidence of inferior and superior performance (nonzero true α) in the extreme tails of the cross‐section of mutual fund α estimates.     

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.     

Do mutual funds time the market? Evidence from portfolio holdings

Previous research finds insignificant market-timing ability for mutual funds using tests based on fund returns. The return-based tests, however, are subject to the “artificial timing” bias. In this paper, we propose and implement new measures of market timing based on mutual fund holdings. Our holdings-based measures do not suffer from the artificial timing bias. We find that, on average, actively managed U.S. domestic equity funds have positive timing ability. Market timing funds use non-public information to predict market returns, tend to have high industry concentration, large fund size, a tilt toward small-cap stocks, and are active in industry rotation.