Investors’ distraction and strategic repricing decisions

In this paper I analyze investors’ reactions to changes in the expense ratios of equity mutual funds. I show that investment flows’ response to fees cannot be fully explained by looking at investors’ performance sensitivity. While performance sensitivity monotonically increases with past performance, price sensitivity does not: investors who buy top past performers seem to be “distracted” by the fund’s previous return and pay relatively little attention to the expense ratios. Moreover price sensitivity increases with fund visibility while performance sensitivity decreases, and while looking at data from 1986 to 2006 no discernible trend can be observed in the average performance sensitivity, price sensitivity strongly increases due to the dramatic increase in the availability of mutual funds’ information for retail investors. Finally I show that investment companies strategically time their repricing decisions in order to exploit time variations in price and performance sensitivities, and that fund governance quality affects the degree to which investment companies engage in this opportunistic behavior.     

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.     

Institutional investors and the limits of arbitrage

The returns and stock holdings of institutional investors from 1980 to 2007 provide little evidence of stock-picking skill. Institutions as a whole closely mimic the market portfolio, with pre-cost returns that have nearly perfect correlation with the value-weighted index and an insignificant CAPM alpha of 0.08% quarterly. Institutions also show little tendency to bet on any of the main characteristics known to predict stock returns, such as book-to-market, momentum, or accruals. While particular groups of institutions have modest stock-picking skill relative to the CAPM, their performance is almost entirely explained by the book-to-market and momentum effects in returns. Further, no group holds a portfolio that deviates efficiently from the market portfolio.     

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.     

Red and blue investing: Values and finance

Using data on the political contributions and stock holdings of U.S. investment managers, we find that mutual fund managers who make campaign donations to Democrats hold less of their portfolios (relative to non-donors or Republican donors) in companies that are deemed socially irresponsible (e.g., tobacco, guns, or defense firms or companies with bad employee relations or diversity records). Although explicit socially responsible investing (SRI) funds are more likely to be managed by Democratic managers, this result holds for non-SRI funds and after controlling for other fund and manager characteristics. The effect is more than one-half of the underweighting observed for SRI funds.     

Investor sophistication and risk taking

Using investment policy data of 857 Dutch pension funds during 1999–2006, we develop three indicators of investor sophistication. The indicators show that pension funds’ strategic portfolio choices are often based on coarse and less sophisticated approaches. First, most pension funds round strategic asset allocations to the nearest multiple of 5%, similar to age heaping in demographic and historical studies. Second, many pension funds invest little or nothing in alternative, more complex asset classes, resulting in limited asset diversification. Third, many pension funds favor regional investments and as such do not fully employ the opportunities of international risk diversification. Our indicators are correlated with pension fund size, in line with the expectation that smaller pension funds are generally less sophisticated than large pension funds. Using the indicators for investor sophistication, we show that less sophisticated pension funds tend to opt for investment strategies with less risk.     

Pension regulation and the market value of pension liabilities: A contingent claims analysis using Parisian options

We analyze the market-consistent valuation of pension liabilities in a contingent claim framework whereby a knock-out barrier feature is applied to capture early regulatory closure of a pension plan. We investigate two cases which we call “immediate closure procedure” and “delayed closure procedure”. In an immediate closure procedure, when the assets value hits the regulatory boundary, the pension plan is terminated immediately. Whereas in a delayed closure procedure, a grace period is given to the pension fund for reorganization and recovery before premature closure is executed. The framework is then used to construct fair pension deals. Furthermore, we provide rules for deriving the optimal recovery period in pension regulation using utility analysis and interconnect the recovery period to the regulatory liquidation probability.     

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.     

Mutual fund volatility timing and management fees

This paper shows that compensation incentives partly drive fund managers’ market volatility timing strategies. Larger incentive management fees lead to less counter-cyclical or more pro-cyclical volatility timing. But fund styles or aggregate fund flows could also account for this relation; therefore, we control for them and find that the relation between fees and volatility timing still holds. Results show that less aggressive fund styles are associated with pro-cyclical volatility timing, and that volatility timing and flow timing are negatively related. We also find that pro-cyclical timing mostly improves funds’ average excess returns, Sharpe ratios, and alphas.     

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.     

Socially responsible investment funds: Investor reaction to current and past returns

This paper investigates and compares the determinants of fund flows for socially responsible investment (SRI) funds and conventional funds. We consider the impact of current and past measures of monthly and annual return on fund flow. The results suggest SRI fund flows are less sensitive to returns than conventional funds. Our model also shows that flow is persistent and SRI investors are more likely to invest in a fund they already own relative to conventional investors. These results reflect the difficulty SRI investors face in finding alternative investments that meet their non-financial goals.     

Income hedging and portfolio decisions

We examine whether the decision to participate in the stock market and other related portfolio decisions are influenced by income hedging motives. Economic theory predicts that the market participation propensity should increase as the correlation between income growth and stock market returns decreases. Surprisingly, empirical studies find limited support for the income hedging motive. Using a rich, unique Dutch data set and the National Longitudinal Survey of the Youth (NLSY) from the United States, we show that when the income-return correlation is low, individuals exhibit a greater propensity to participate in the market and allocate a larger proportion of their wealth to risky assets. Even when the income risk is high, individuals exhibit a higher propensity to participate in the market when the hedging potential is high. These findings suggest that income hedging is an important determinant of stock market participation and asset allocation decisions.     

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.     

Information immobility,industry concentration,and institutional investors’ performance

This paper examines foreign institutional investors’ portfolio allocation and performance in US securities. We test how information immobility, proxied by information barriers between the investors’ home markets and the US, influences portfolio strategies. Consistent with theoretical predictions, foreign institutional investors’ total investment in the US is negatively related to information immobility. Similarly, information immobility is a significant driver of portfolio under-diversification across industries. Industry concentration has declined over time, consistent with declining search costs. Industry-concentrated portfolios outperform more diversified portfolios for both foreign and US institutional investors. Concentration especially helps institutional investors with the easiest access to information.     

Strategic behavior within families of hedge funds

The paper investigates the strategic behavior of hedge fund families. It focuses on decisions to start and liquidate family-member funds. Hedge fund families tend to liquidate funds that underperform compared to other member funds, and to replace them by new ones. By choosing a launch time after a short period of superior performance by their member funds, families extend the spillover to new funds. Hedge fund families seem to be more experienced in promoting their funds and attracting fund inflow than in generating superior performance. This results in higher dollar compensation earned by managers within multi-fund families than in stand-alone funds.     

On the characteristics and performance of long-short, market-neutral and bear mutual funds

We evaluate the return performance of long-short, market-neutral and bear mutual funds using multi-factor models and a conditional CAPM that allows for time-varying risk. Differences in the bearish posture of these mutual funds result in different performance characteristics. Returns to long-short mutual funds vary with the market, returns to market-neutral mutual funds are uncorrelated with the market and returns to bear mutual funds are negatively correlated. Using the conditional CAPM we document significant changes in the market-risk exposure of the most bearish of these funds during different economic climates. We then assess the flow-performance relationship for up to 60 months following up and down markets and find that investors direct flows towards market-neutral and bearish funds for several months after down markets. Market-neutral funds provide a down market hedge, but bear funds do not generate the returns that investors hope for.     

MUTUAL FUND DAILY CONDITIONAL PERFORMANCE

The empirical finance literature reveals that conditional models estimated with monthly data generally improve fund performance. Furthermore, it has been shown that using daily instead of monthly returns in an unconditional framework increases the proportion of abnormal performances relative to timing. In this article, we study conditional performance estimated with daily data in a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) framework. Our daily conditional alphas and global performances with GARCH are significantly better than those estimated with other parametrizations and they persist over time. Finally, the proportion of abnormal timing performances diminishes significantly when conditional parametrizations are used.     

Changes to mutual fund risk: Intentional or mean reverting?

An empirical issue is whether a mutual fund’s change in intertemporal risk is intentional or arises from risk mean reversion. Our methodology uses actual fund trades to identify funds that actively change risk. Funds that are statistically identified as trading to change return variance or tracking error variance do not exhibit risk mean reversion. Mostly, funds trade to reduce risk and, in particular, tracking error variance. This is most evident for funds that previously attained a low tracking error variance. We find no evidence of a relation between past performance and intended changes to return variance or tracking error variance.     

INVESTOR REACTION TO MUTUAL FUND PERFORMANCE: EVIDENCE FROM UK DISTRIBUTION CHANNELS

Existing work on the flow–performance relation in mutual funds focuses on the average U.S. investor, obscuring the contributions of different clienteles. We analyze UK data on monthly fund sales and purchases made via seven distinct distribution channels. We show that there exist marked differences in the reaction to fund performance between different types of retail and institutional investors. These differences can be understood by considering the incentives of parties involved in each channel. Our analysis indicates that the well‐documented aggregate net flow–performance convexity in mutual funds is driven by the extreme reaction of retail inflows to favorable performance, particularly from independently advised investors.     

Can hedge funds time market liquidity?

We explore a new dimension of fund managers' timing ability by examining whether they can time market liquidity through adjusting their portfolios' market exposure as aggregate liquidity conditions change. Using a large sample of hedge funds, we find strong evidence of liquidity timing. A bootstrap analysis suggests that top-ranked liquidity timers cannot be attributed to pure luck. In out-of-sample tests, top liquidity timers outperform bottom timers by 4.0–5.5% annually on a risk-adjusted basis. We also find that it is important to distinguish liquidity timing from liquidity reaction, which primarily relies on public information. Our results are robust to alternative explanations, hedge fund data biases, and the use of alternative timing models, risk factors, and liquidity measures. The findings highlight the importance of understanding and incorporating market liquidity conditions in investment decision making.