Cross-sectional learning and short-run persistence in mutual fund performance

Using monthly return data of more than 6400 US equity mutual funds we investigate short-run performance persistence over the period 1984–2003. We sort funds into rank portfolios based on past performance, and evaluate the portfolios’ out-of-sample performance. To cope with short ranking periods, we employ an empirical Bayes approach to measure past performance more efficiently. Our main finding is that when funds are sorted into decile portfolios based on 12-month ranking periods, the top decile of funds earns a statistically significant, abnormal return of 0.26 percent per month. This effect persists beyond load fees, and is mainly concentrated in relatively young, small cap/growth funds.     

Derivative use,fund flows and investment manager performance

Prior literature which examines the use of derivatives by investment managers does not discern between different types of derivative trading strategies. This study is the first to examine and gather data on a particular type of derivative trading strategy undertaken by investment managers. We examine the extent to which equity fund managers use index futures to manage fund flows and the effect this has on their alpha and market timing measures of performance. Our results show that funds that do not use derivatives exhibit lower returns and negative market timing skills when they experience fund flow. The performance of funds that use derivatives, however, is independent of investor’s liquidity demands. In fact, the unconditional performance of the average user fund is statistically equivalent to the performance of the average non-user fund conditional on zero fund flow. Our results provide evidence that derivatives can be beneficial for mutual fund holders under certain conditions.     

The value of coskewness in mutual fund performance evaluation

Recent asset pricing studies demonstrate the relevance of incorporating coskewness in asset pricing models, and illustrate how this component helps to explain the time variation of ex-ante market risk premiums. This paper analyzes the role of coskewness in mutual fund performance evaluation and finds evidence that adding a coskewness factor is economically and statistically significant. It documents that coskewness is sometimes managed and shows persistence of the coskewness policy over time. One of the most striking results is that many negative (positive) alpha funds, measured relative to the CAPM risk adjustments, would be reclassified as positive (negative) alpha funds using a model with coskewness. Therefore, performance ranking based on risk-adjusted returns without considering coskewness could generate an erroneous classification. Moreover, some fund characteristics, such as turnover ratio or category, are related to the likelihood of managing coskewness.     

Allocation of decision rights and the investment strategy of mutual funds

The literature suggests that while decentralized decision making can allow for greater specialization in an organization, it heightens the cost of coordinating decisions. The mutual fund industry—in particular, sole- and team-managed balanced funds—provides an ideal setting to test the specialization versus coordination trade-off, as information on decision structures and fund actions is easily obtained. We show that sole-managed balanced funds, with centralized decision rights, exhibit significant market timing that requires reallocation across asset classes. However, consistent with coordination difficulties between managers specializing in particular asset classes, no market timing is evident in team-managed balanced funds. Team-managed funds exhibit greater returns from specialization, in the form of better security selection performance than sole-managed funds. These results hold cross-sectionally and for funds that switch management structures. The overall returns across different management structures are similar, indicating a market equilibrium. Investor flows reward market-timing performance for sole- but not team-managed funds.     

Analyst forecasts and European mutual fund trading

This paper addresses the questions whether European mutual fund managers rely on sell-side analyst information and whether this behavior impacts fund performance. Results show that mutual funds significantly increase (decrease) their holdings in stocks when any of the consensus forecast measures increases (decreases) within the quarter prior to the observation period. Furthermore, mutual fund managers primarily attribute high information value to consensus forecast revisions that contain positive information, that are based on a sufficiently high number of inputs, and with more unanimous inputs to the consensus. Finally, following sell-side research seems to be beneficial for mutual fund managers since our results show that stock trades that are in line with analyst forecast revisions significantly outperform trades that are contrary to analyst research.     

Reputation stretching in mutual fund starts

This study examines the role of reputation stretching in the context of mutual funds. We show that the reputation stretching strategy increases net fund inflows to new funds run by well-performing fund managers and yields a net increase of fund inflows to fund families. Reputable fund managers exhibit one-year performance persistence for managing new funds, which can help investors assess managers when selecting funds. We also find that the decrease in information asymmetry associated with managerial reputation benefits investors by leading to an increase in new fund returns in the short run, compared to those of new funds run by managers without track records. Overall, the reputation stretching strategy benefits both investors, by reducing information asymmetry and improving investment returns, and fund families, by increasing net fund inflows to new equity funds.     

Selling winners, holding losers: Effect on fund flows and survival of disposition-prone mutual funds

Recent studies suggest that presence of a disposition effect in a large subset of investors can create stock mispricings, which has serious implications for market efficiency. We examine whether US equity mutual funds are disposition-prone, how that effect influences performance, investor flows and fund survival, and whether the disposition orientation of mutual funds affects stock prices in a sustained manner.We find that about 30% of all funds exhibit some degree of disposition behavior and that such funds underperform funds that are not disposition-prone by 4-6% per year. Moreover, after controlling for performance, tax overhang and other factors that potentially affect flows, disposition-prone funds attract significantly smaller flows than other funds. The results suggest that mutual fund investors are smart enough to minimize investment in disposition-prone funds. Consequently, disposition-prone funds have significantly higher rates of failure than other funds, thereby reducing the impact of such trading behavior on security prices.     

The cross section of conditional mutual fund performance in European stock markets

This paper implements strategies that use macroeconomic variables to select European equity mutual funds, including Pan-European, country, and sector funds. We find that several macro-variables are useful in locating funds with future outperformance and that country-specific mutual funds provide the best opportunities for fund rotation strategies using macroeconomic information. Specifically, our baseline long-only strategies that exploit time-varying predictability provide four-factor alphas of 12–13% per year over the 1993–2008 period. Our study provides new evidence on the skills of local versus Pan-European asset managers, as well as how macroeconomic information can be used to locate and time these local fund manager skills.     

The cross-section of mutual fund fee dispersion

In this paper, we empirically analyze the factors affecting the cross section of mutual fund fee dispersion. In the context of equity mutual funds, fee dispersion stems primarily from the heterogeneity of products, clienteles and production functions. However, the relevant theory predicts that search costs can also generate fee dispersion. By controlling for observable sources of heterogeneity, we find that fee dispersion decreases with fund size and age, as well as with the amount of assets under management of the investment company. In addition, we find lower levels of fee dispersion for funds that charge marketing and distribution fees. Although we cannot rule out the possibility that these factors are a proxy for some unobserved source of heterogeneity, our results are also consistent with the theoretical prediction that search costs positively affect fee dispersion.     

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.     

The wisdom of crowds: Mutual fund investors’ aggregate asset allocation decisions

We find that the aggregate asset allocation decisions of US mutual fund investors depend on economic conditions. Both anticipated economic downturns and periods of turmoil lead investors to direct flow away from risky equity funds and towards lower-risk money market funds. These patterns are markedly stronger for investors in low cost and low turnover funds relative to investors in high cost and high turnover funds, consistent with sophisticated investors being more sensitive to changing conditions. Benchmarked against a buy-and-hold strategy, these asset allocation strategies reduce risk without degrading the risk-return trade-off. Our evidence suggests that individual investors, often dismissed as noise traders, collectively react to economic signals in a sensible manner when determining asset allocations.     

Front-running of mutual fund fire-sales

We show that a real-time trading strategy which front-runs the anticipated forced sales by mutual funds experiencing extreme capital outflows generates an alpha of 0.5% per month during the 1990–2010 period. The abnormal return stems from selling pressure among stocks that are below the NYSE mean size and cannot be attributed to the arrival of public information. While the largest stocks also exhibit downward price pressure, their prices revert before the front-running strategy can detect it. The duration of the anticipated selling pressure has decreased from about a month in the 1990s to about two weeks in the most recent decade. Our results suggest that publicly available information of fund flows and holdings exposes mutual funds in distress to predatory trading.     

When active fund managers deviate from their peers: Implications for fund performance

This paper proposes that the extent to which mutual fund managers’ beliefs deviate from the ex ante unobservable representative beliefs of their peers contains information about their skill. A new measure based on portfolio allocations, peer deviation, is used to capture a fund manager’s divergence from the contemporaneously unobservable beliefs of her peers. The portfolio based on representative beliefs of a group of managers investing in similar assets outperforms passive benchmarks, indicating that they reflect informed beliefs. Fund managers who simultaneously arrive at portfolio selections which, in hindsight, are close to those implied by representative beliefs possess ex ante more skill and exhibit future outperformance. Copycat strategies replicating lagged portfolio holdings implied by representative beliefs outperform the actual portfolio holdings of funds that deviate most, but the outperformance dissipates after two quarters.     

Measuring investor sentiment with mutual fund flows

We investigate a proxy for monthly shifts between bond funds and equity funds in the USA: aggregate net exchanges of equity funds. This measure (which is negatively related to changes in VIX) is positively contemporaneously correlated with aggregate stock market excess returns: One standard deviation of net exchanges is related to 1.95% of market excess return. Our main new finding is that 85% (all) of the contemporaneous relation is reversed within four (ten) months. The effect is stronger in smaller stocks and in growth stocks. These findings support the notion of “noise” in aggregate market prices induced by investor sentiment.     

Dumb money: Mutual fund flows and the cross-section of stock returns

We use mutual fund flows as a measure of individual investor sentiment for different stocks, and find that high sentiment predicts low future returns. Fund flows are dumb money–by reallocating across different mutual funds, retail investors reduce their wealth in the long run. This dumb money effect is related to the value effect: high sentiment stocks tend to be growth stocks. High sentiment also is associated with high corporate issuance, interpretable as companies increasing the supply of shares in response to investor demand.     

Board structure,mergers, and shareholder wealth: A study of the mutual fund industry

We study mutual fund mergers between 1999 and 2001 to understand the role and effectiveness of fund boards. Some fund mergers—typically across-family mergers—benefit target shareholders but are costly to target fund directors. Such mergers are more likely when funds underperform and their boards have a larger percentage of independent trustees, suggesting that more-independent boards tolerate less underperformance before initiating across-family mergers. This effect is most pronounced when all of the fund's directors are independent, not the 75% level of independence required by the SEC. Higher-paid target fund boards are less likely to approve across-family mergers that cause substantial reductions in their compensation.     

The dynamics of short-term mutual fund flows and returns: A time-series and cross-sectional investigation

This study analyzes the dynamics of daily mutual fund flows. A Vector Auto Regression (VAR) of flows and returns shows that the behavior of fund investors is more consistent with contrarian rather than momentum characteristics. Past fund flows have a positive impact on future fund returns, with the long-term information effect dominating the transient price-pressure effect. Seasonality in daily flows, such as day-of-week and day-of-month patterns are present, and daily flows are generally mean-reverting. Probit regressions indicate that fund investment objective, marketing policy and level of active management explain cross-sectional variation in the behavioral patterns displayed in daily flows. Our results are robust to the different methods of calculating daily flows based on whether or not the day-end TNA figures include the current-day’s flow. Throughout the analysis, we contrast the dynamics of daily flows with established results for monthly fund flows and find important differences between the two.     

Behavioral biases of mutual fund investors

We examine the effect of behavioral biases on the mutual fund choices of a large sample of US discount brokerage investors using new measures of attention to news, tax awareness, and fund-level familiarity bias, in addition to behavioral and demographic characteristics of earlier studies. Behaviorally biased investors typically make poor decisions about fund style and expenses, trading frequency, and timing, resulting in poor performance. Furthermore, trend chasing appears related to behavioral biases, rather than to rationally inferring managerial skill from past performance. Factor analysis suggests that biased investors often conform to stereotypes that can be characterized as Gambler, Smart, Overconfident, Narrow Framer, and Mature.     

Winners in the spotlight: Media coverage of fund holdings as a driver of flows

We show that media coverage of mutual fund holdings affects how investors allocate money across funds. Fund holdings with high past returns attract extra flows, but only if these stocks were recently featured in the media. In contrast, holdings that were not covered in major newspapers do not affect flows. We present evidence that media coverage tends to contribute to investors? chasing of past returns rather than facilitate the processing of useful information in fund portfolios. Our evidence suggests that media coverage can exacerbate investor biases and that it is the primary mechanism that makes fund window dressing effective.     

Mutual fund trades and the value of contradictory private information

We investigate the performance of mutual funds that trade using private information. These funds are uniquely identified from a set of 2730 funds with 44,315 fund-periods between 1994 and 2005. We compare the alignment of fund trades with brokers’ recommendations, which we regard as “public information” in the universe of informed and uninformed mutual funds. Funds that systematically trade counter to the public information form a homogenous subset of the privately informed funds. By using private information that contradicts the public information, these funds exhibit a superior average performance. After we control for serial correlation in fund returns, we assess this advantage as being an economically significant 1.7% per annum. We also show empirically that smaller funds are better able to capture the benefit of private information.