Australian equity mutual fund size effects

Berk and Green propose a model of a superannuation fund industry, with a limited population of superior fund managers and a competitive investor market. In this market, superior fund managers capture the value they generate, leaving investors with a normal return on their investment. Furthermore, it is argued that previous period returns, age of the fund and management costs explain variation in net cash flow paid into a fund over time. The Berk and Green predictions find some support in empirical tests, reported in the present paper, based on Australian Morningstar retail and wholesale equity fund data over the period 1995–2005.     

Understanding merger incentives and outcomes in the US mutual fund industry

This paper examines the incentives of acquirers and targets in the merger market. Using data on acquisitions among mutual fund management companies from 1991 to 2004, I estimate a two-sided matching model of the merger market jointly with equations representing merger outcomes. According to the empirical investigation, although the desire to achieve a sufficient scale to attract investors is a key driver for mergers, some mergers seem to be driven by objectives other than shareholder value maximization. I find that companies that are potentially prone to misaligned incentives between owners and managers are more acquisitive than others, yet have significantly worse post-merger operating performance. I also find that these acquirers, despite their higher willingness to pay for targets, are not any more likely to match with high-quality targets, potentially due to targets’ incentive to avoid bad organizations.     

Individual investor mutual fund flows

This paper studies the relation between individuals’ mutual fund flows and fund characteristics, establishing three key results. First, consistent with tax motivations, individual investors are reluctant to sell mutual funds that have appreciated in value and are willing to sell losing funds. Second, individuals pay attention to investment costs as redemption decisions are sensitive to both expense ratios and loads. Third, individuals’ fund-level inflows and outflows are sensitive to performance, but in different ways. Inflows are related only to “relative” performance, suggesting that new money chases the best performers in an objective. Outflows are related only to “absolute” fund performance, the relevant benchmark for taxes.     

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.     

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.     

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.     

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.     

Mutual fund flows and investor returns: An empirical examination of fund investor timing ability

We examine the timing ability of mutual fund investors using cash flow data at the individual fund level. Over 1991–2004 equity fund investor timing decisions reduce fund investor average returns by 1.56% annually. Underperformance due to poor timing is greater in load funds and funds with relatively large risk-adjusted returns. In particular, the magnitude of investor underperformance due to poor timing largely offsets the risk-adjusted alpha gains offered by good-performing funds. Investors in both actively managed funds and index funds exhibit poor investment timing. We demonstrate that our empirical results are consistent with investor return-chasing behavior.     

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.     

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.     

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.     

Best-performing US mutual fund families from 1993 to 2008: Evidence from a novel two-stage DEA model for efficiency decomposition

When analyzing relative performance, especially at the institutional level, the traditional data envelopment analysis (DEA) models do not recognize vastly different and important activities as separate functions and therefore cannot identify which function may be the main source of inefficiency. We propose a novel two-stage DEA model that decomposes the overall efficiency of a decision-making unit into two components and demonstrate its applicability by assessing the relative performance of 66 large mutual fund families in the US over the period 1993–2008. By decomposing the overall efficiency into operational management efficiency and portfolio management efficiency components, we reveal the best performers, the families that deteriorated in performance, and those that improved in their performance over the sample period. We also make frontier projections for poorly performing mutual fund families and highlight how the portfolio managers have managed their funds relative to the others during financial crisis periods.     

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.     

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.     

An empirical analysis of Mexican and US closed-end mutual fund IPOs

We examine 135 Mexican closed-end fund IPOs and 370 Mexican non-fund IPOs that issued between 1994 and 2003 along with 217 contemporaneous US fund IPOs and document three primary results. First, we find that Mexican IPOs in the aggregate experience no significant underpricing, unlike their US IPO counterparts. Both Mexican and US IPOs experience significantly negative long-run performance. Second, Mexican closed-end fund IPOs experience positive long-run performance, significantly better than Mexican non-fund IPOs which experience negative long-run performance. Unlike Mexican fund IPOs, US fund IPOs experience negative long-run performance. Third, we find that both Mexican and US debt-backed closed-end fund IPOs significantly outperform equity-backed closed-end IPOs. In Mexico, debt-backed funds experience positive abnormal returns, compared to negative abnormal returns for Mexican equity-backed funds, US debt-backed funds, and US equity-backed funds.     

The effect of holdings data frequency on conclusions about mutual fund behavior

A number of articles in financial economics have used quarterly or semi-annual mutual fund holdings data to test hypotheses about investment manager behavior. This article reexamines four well-known hypotheses in finance to determine whether the results of prior tests of these hypotheses remain valid when higher frequency (monthly) holdings data are employed. The areas examined are: momentum trading, tax-motivated trading, window dressing, and tournament behavior. We find that the use of monthly holdings data rather than quarterly holdings data or, in the case of tournament behavior, holdings data rather than monthly return data, change, and in some cases reverse, previous results. This occurs because monthly holdings data capture a large number of trades missed by quarterly data (18.5% of the trades) and permit a more precise estimation of the timing of trades.     

The index fund rationality paradox

Mutual funds that track the S&P 500 are popular because they have significantly lower costs than the average, actively managed equity fund. However, a measurable number of investors select index funds with excessive fees and uncompetitive returns. We call this observation the Index Fund Rationality Paradox because it conflicts with the belief that index fund investors are making a rational, low-cost choice in their ‘type of fund’ decision. In our analysis of this paradox, we find that both retail and institutional index investors tended to make better choices in recent years, but the cost of poor choices among both groups continues to be significant. In fact, we are able to identify an arguably naïve group of retail investors that seem to be unduly influenced by brokers and financial advisors. These investors are largely responsible for the remaining paradox.     

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 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.     

Agency costs,governance, and organizational forms: Evidence from the mutual fund industry

Using a comprehensive sample of mutual funds and fund families for the period 1992–2004, this study examines the impact of fund management companies’ organizational forms on the level of agency costs within mutual funds. We find that, all else being equal: (1) funds managed by public fund families charge higher fees than those managed by private fund families; (2) public fund families acquire more funds than private fund families; and (3) funds of public fund families significantly underperform funds of private fund families. Collectively, these findings suggest that agency costs are higher in mutual funds managed by public fund families. Our results are consistent with the idea that the agency conflict between the fund management company and fund shareholders is more acute for public management companies because of their shorter-term focus.