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.     

Cross-sectional performance and investor sentiment in a multiple risk factor model

Economists have long recognized the importance of information veracity in valuing risky securities. Market participants concerned about the credibility of information measures may require additional compensation to entice them to hold stocks with less transparent information. These same securities are expected to display greater sensitivities to measures of market sentiment. We find that investor sentiment sensitivities increase directly with multiple measures of opacity in the cross-section. Next we examine the extent to which sentiment sensitivities are priced in an asset pricing context. Using the Jha et al. (2009) model of conditional performance evaluation, we find an inverse relation between ex ante known investor sentiment and the marginal performance of opaque stocks. In contrast, translucent stocks exhibit relatively little variability in performance across levels of sentiment.     

Global,local, and contagious investor sentiment

We construct investor sentiment indices for six major stock markets and decompose them into one global and six local indices. In a validation test, we find that relative sentiment is correlated with the relative prices of dual-listed companies. Global sentiment is a contrarian predictor of country-level returns. Both global and local sentiment are contrarian predictors of the time-series of cross-sectional returns within markets: When sentiment is high, future returns are low on relatively difficult to arbitrage and difficult to value stocks. Private capital flows appear to be one mechanism by which sentiment spreads across markets and forms global 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.     

Mutual fund flows,expected returns,and the real economy

This paper investigates the relation between mutual fund flows and the real economy. The findings of this paper support the theory that the positive co-movement of flows into equity funds and stock market returns is explained by a common response to macroeconomic news. Variables that predict the real economy as well as the equity premium – in particular dividend-price ratio, default spread, relative T-Bill rate and consumption-wealth ratio – are related to fund flows and can account for the correlation of flows and market returns. Furthermore, consistent with the information-response hypothesis, mutual fund flows are forward-looking and predict real economic activity.     

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.     

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.     

Sentimental mutual fund flows

We show that many stylized empirical patterns for mutual fund flows are driven by investor sentiment. Specifically, when sentiment is high, investors exhibit a stronger tendency of chasing past fund performance; fund flows are less sensitive to fund expenses; and investors are attracted more to funds with sheer visibility. Moreover, the well‐documented positive relation between fund flows and future fund performance is significant only during high sentiment periods and is mainly driven by expected component of fund flows. Finally, we show that mutual fund investors exhibit a significantly negative timing ability at the individual fund level when sentiment is high.     

Capacity constraints,investor information,and hedge fund returns

To identify capacity constraints in hedge funds and simultaneously gauge how well-informed hedge fund investors are, we need measures of investor demand that do not affect deployed hedge fund assets. Using new data on investor interest from a secondary market for hedge funds, this paper verifies the existence of capacity constraints in hedge funds. There is more mixed evidence on the information available to hedge fund investors. Buy and sell indications arrive following fund outperformance. While buy indications have little incremental power to predict hedge fund performance over and above well-known forecasting variables, sell indications do somewhat better.     

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.     

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.     

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.     

Option trading and individual investor performance

This paper examines the impact of option trading on individual investor performance. The results show that most investors incur substantial losses on their option investments, which are much larger than the losses from equity trading. We attribute the detrimental impact of option trading on investor performance to poor market timing that results from overreaction to past stock market returns. High trading costs further contribute to the poor returns on option investments. Gambling and entertainment appear to be the most important motivations for trading options while hedging motives only play a minor role. We also provide strong evidence of performance persistence among option traders.     

Mutual fund portfolio trading and investor flow

I estimate the extent to which mutual fund portfolio trading of securities is triggered by investor flows into and out of the funds, and find that this liquidity-induced portfolio trading activity is smaller than previously estimated by Edelen (1999). I obtain estimates from a much larger and broader sample of funds than Edelen’s (1999) sample. Portfolio managers of international funds trade a smaller fraction of investor flow than do those of domestic funds. Index funds invest a larger fraction. A funds’ usage of futures contracts does not have a statistically significant effect on how it trades in response to investor flows, but the unpredictability of investor flow weakly affects the trading response to flow.     

Limited participation and the closed-end fund discount

In this paper, we present economic forces that affect the closed-end fund share price using a simple two-period model with limited participation. We characterize three economic forces: management fee, principal-agent problem effect and diversification benefit effect. The role of the management fee is consistent with recent studies by Ross [Ross S., 2002. Neoclassical finance, alternative finance and the closed end fund puzzle. European Financial Management 8, 129–137, Ross, S., 2002. A neoclassical look at behavioral finance: closed end funds. The Princeton lectures in finance III] and findings of various empirical studies [e.g., Kumar, R., Noronha, G.M., 1992. A re-examination of the relationship between closed-end fund discounts and expenses. Journal of Financial Research 15(2) Summer, 139–147; Russel, P.S., 2005. Closed-end fund pricing: The puzzle, the explanations, and some new evidence, Journal of Business and Economic Studies 11(1), 34–49; Gemmill, G., Thomas, D.C., 2002. Noise trading, costly arbitrage, and asset prices: Evidence from closed end funds. Journal of Finance 57(6), 2571–2594]. The model’s principal-agent problem effect is consistent with empirical findings by Brickley et al. [Brickley, James, Steven Manaster, Schallheim, James, 1991. The tax-timing option and the discounts on closed-end investment companies. Journal of Business 64, 287–312] of positive relation between the fund discount and the average variance of the constituent assets in the fund portfolio. In addition, it provides a theoretical framework for empirical studies, which examine the role of agency costs [Barclay, Michael J., Clifford G. Holderness, Jeffrey Pontiff, 1993. Private benefits from block ownership and discounts on closed-end funds. Journal of Financial Economics 33, 263–291] and compensation contracts [Coles, J., Suay, J., Woodbury, D., 2000. Fund advisor compensation in closed-end funds. Journal of Finance 55 (3), 1385–1414; Deli, Daniel N., 2002. Mutual fund advisory contracts: An empirical Investigation. Journal of Finance 57(1), 109–133] on the behavior of fund managers and fund discounts. The model’s diversification benefit effect supports the result in [Bonser-Neal C., Brauer,G., Neal, R.., Wheatley, S., 1990. International investment restrictions and closed-end country fund prices. Journal of Finance 45, 523–547] that announcement of financial market liberalization is associated with a decrease in the fund premium. It also supports the findings of [Kumar, R., Noronha, G.M., 1992. A re-examination of the relationship between closed-end fund discounts and expenses. Journal of Financial Research 15(2) Summer, 139–147; Chay, J.B., Trzcinka, Charles A., 1999. Managerial performance and the cross-sectional pricing of closed-end funds. Journal of Financial Economics 52, 379–408] of a positive relation between current premium and the risk-adjusted return over the following year.     

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.     

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.     

The dynamics between stock returns and mutual fund flows: empirical evidence from the Greek market

This paper examines the interaction between mutual fund flows and stock returns in Greece. Specifically, we investigate the possibility of a causality mechanism through which mutual funds flows may affect stock returns and vice versa. The statistical evidence derived from the error correction model indicates that there is a bidirectional causality between mutual fund flows and stock returns. Cointegration results show that mutual funds flows cause stock returns to rise or fall. This may be explained by the fact that, in Greece, equity mutual funds are obliged by law to invest a certain percentage of their cash in stocks. Thus, inflows and outflows of cash in equity funds seem to cause higher and lower stock returns in Greek stock market.     

Mutual fund risk and market share-adjusted fund flows

Several papers use a fractional specification (net inflow/ assets under management) to infer a convex relation between flow and past performance. However, heterogeneous linear response functions combined with the pooled analysis commonly used in these studies can yield false convexity estimates. We show that such heterogeneity obtains in practice. Along these same lines, the paper also finds that several previously unexamined implications of a convex flow-performance relation fail to hold. Moreover, convexity with fractional flows (which we confirm) largely disappears in a conditional analysis that controls for heterogeneity. Market shares offer an alternative specification for flow that is more resilient to heterogeneity. Using this alternative specification, we again find no evidence of convexity in the flow-performance relation. We conclude that the widely held belief that the flow response function is convex is due solely to misspecification of the empirical model. The flow-return relation is linear.     

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.