Price Comovement and Institutional Performance Following Large Market Movements

This paper investigates the price comovement of stocks actively traded by institutions and the investment performance of foreign and domestic institutional investors in Taiwan's stock markets during periods of large market movements. Stocks of small size, high share turnover, and high return volatility tend to move together with the market when markets rise sharply. In short-term holdings, foreign investors and domestic mutual funds can outperform the market by trading small-size, high-turnover, and high-volatility stocks.     

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.     

Mutual Fund Performance: An Empirical Decomposition into Stock-Picking Talent, Style, Transactions Costs, and Expenses

We use a new database to perform a comprehensive analysis of the mutual fund industry. We find that funds hold stocks that outperform the market by 1.3 percent per year, but their net returns underperform by one percent. Of the 2.3 percent difference between these results, 0.7 percent is due to the underperformance of nonstock holdings, whereas 1.6 percent is due to expenses and transactions costs. Thus, funds pick stocks well enough to cover their costs. Also, high-turnover funds beat the Vanguard Index 500 fund on a net return basis. Our evidence supports the value of active mutual fund management.     

Mutual funds as monitors: Evidence from mutual fund voting

We address how mutual funds vote on shareholder proposals and identify factors that help determine support of wealth-increasing shareholder proposals. We examine 213,579 voting decisions made by 1799 mutual funds from 94 fund families for 1047 shareholder proposals voted on between July 2003 and June 2005. In an analysis of voting across funds within the same fund family, we find significant divergence in voting within families, emphasizing the importance of focusing on voting by individual funds. We also find that, in general, mutual funds vote more affirmatively for potentially wealth-increasing proposals and funds' voting approval rates for these beneficial resolutions are significantly higher than those of other investors. Our results suggest that funds tend to support proposals targeting firms with weaker governance. We also find that funds with lower turnover ratios and social funds are more likely to support shareholder proposals. Finally, fund voting approval rates significantly impact whether a proposal passes and whether one is implemented.     

An examination of the benefits of dynamic trading strategies in U.K. closed-end funds

We examine the after-cost out-of-sample performance of the unconditional mean–variance (UMV) strategy in the presence of conditioning information (Ferson and Siegel (2001)) using portfolios of U.K. equity closed-end funds. We find that the performance of the UMV strategy significantly improves when using lagged information variables with the highest persistence (first-order autocorrelation) levels and reduces turnover. This strategy is able to outperform alternative dynamic trading strategies and performs well across different subperiods. At low levels of trading costs, the UMV strategy is able to deliver significant value added to investors.     

Do Funds Make More When They Trade More?

We model fund turnover in the presence of time‐varying profit opportunities. Our model predicts a positive relation between an active fund's turnover and its subsequent benchmark‐adjusted return. We find such a relation for equity mutual funds. This time‐series relation between turnover and performance is stronger than the cross‐sectional relation, as the model predicts. Also as predicted, the turnover‐performance relation is stronger for funds trading less‐liquid stocks and funds likely to possess greater skill. Turnover is correlated across funds. The common component of turnover is positively correlated with proxies for stock mispricing. Turnover of similar funds helps predict a fund's performance.     

MUTUAL FUNDS SELECTION BASED ON FUNDS CHARACTERISTICS

The popular investment strategy in the literature is to use only past performance to select mutual funds. We investigate whether an investor can select superior funds by additionally using fund characteristics. After considering the fund fees, we find that combining information on past performance, turnover ratio, and ability produces a yearly excess net return of 8.0%, whereas an investment strategy that uses only past performance generates 7.1%. Adjusting for systematic risks, and then using fund characteristics, increases yearly alpha significantly from 0.8% to 1.7%. The strategy that also uses fund characteristics requires less turnover.     

The Reaction of Closed End Funds to Stock Distribution Announcements

This study examines the impact of stock split and stock dividend announcements made by closed end mutual funds. We argue that the asymmetric information / signaling hypothesis does not apply to mutual funds. Therefore, any announcement effects must be attributed to other factors such as the optimal trading range hypothesis. We find that closed end funds react no differently than other firms to stock distribution announcements; also, trading volume and turnover remain unchanged after closed end funds' ex-stock distribution days, while liquidity declines for other firms that distribute shares.     

Rating mutual funds: Construction and information content of an investor-cost based rating of Danish mutual funds

We develop a new rating of mutual funds: the atpRating. The atpRating assigns crowns to each individual mutual fund based upon the costs an investor pays when investing in the fund in relation to what it would cost to invest in the fund's peers. Within each investment category, the rating assigns five crowns to funds with the lowest costs and one crown to funds with the highest costs.We investigate the ability of the atpRating to predict the future performance of a fund. We find that an investor who has invested in the funds with the lowest costs within an investment category would have obtained a risk-adjusted excess return that is approximately 3–4 percentage points higher per annum than if the funds with the highest costs had been invested in.We compare the atpRating with the Morningstar Rating. We show that one reason why the atpRating and the Morningstar Rating contain different information is that the returns Morningstar uses as inputs when rating funds are highly volatile whereas the costs the atpRating uses as inputs when rating funds are highly persistent. In other words, a fund that has low costs one year will most likely also have low costs the following year, whereas the return of a fund in a certain year generally contains only little information about the future return that the fund will generate.Finally, we have information on the investments in different mutual funds made by a small subgroup of investors known to have been exposed to both the atpRating and the Morningstar Rating. We find that investors have clear preferences for funds rated high by both the atpRating and the Morningstar Rating.     

Mutual Fund Performance: Measurement and Evidence1

The paper provides a critical review of empirical findings on the performance of mutual funds, mainly for the US and UK. Ex‐post, there are around 0‐5% of top performing UK and US equity mutual funds with truly positive‐alpha performance (after fees) and around 20% of funds that have truly poor alpha performance, with about 75% of active funds which are effectively zero‐alpha funds. Key drivers of relative performance are, load fees, expenses and turnover. There is little evidence of successful market timing. Evidence suggests past winner funds persist, when rebalancing is frequent (i.e., less than one year) and when using sophisticated sorting rules (e.g., Bayesian approaches) ‐ but transactions costs (load and advisory fees) imply that economic gains to investors from winner funds may be marginal. The US evidence clearly supports the view that past loser funds remain losers. Broadly speaking results for bond mutual funds are similar to those for equity funds. Sensible advice for most investors would be to hold low cost index funds and avoid holding past ‘active’ loser funds. Only sophisticated investors should pursue an active ex‐ante investment strategy of trying to pick winners ‐ and then with much caution.     

“和而不群”还是“卓尔不群”?——基于基金网络信息使用的视角

如何识别出优秀的基金管理者,理解其信息决策机制,对于优化资源配置、提升市场效率具有重要意义。本文探究了基金经理对自身所处基金网络中的共享信息的使用程度与其管理能力之间的关系。具体而言,本文通过基金的重仓持股构建了基金网络,采用基金自身交易与其所处网络中其他基金平均交易的偏离程度作为该基金对基金网络中信息使用的衡量。研究发现:(1)对基金网络中信息使用程度较低的基金的业绩要显著好于对基金网络中信息使用程度较高的基金。(2)更高的超额收益主要来源于基金经理优异的选股能力,虽由此承担了更多的异质性风险,却并未增大总体风险水平。(3)基金经理更换数据表明基金对网络内信息的使用程度更多地与基金经理特征相关而非与基金特征相关。(4)网络内信息使用程度直接反映了基金私有信息含量,因此更可能与基金经理能力相关。     

“和而不群”还是“卓尔不群”?——基于基金网络信息使用的视角

如何识别出优秀的基金管理者,理解其信息决策机制,对于优化资源配置、提升市场效率具有重要意义。本文探究了基金经理对自身所处基金网络中的共享信息的使用程度与其管理能力之间的关系。具体而言,本文通过基金的重仓持股构建了基金网络,采用基金自身交易与其所处网络中其他基金平均交易的偏离程度作为该基金对基金网络中信息使用的衡量。研究发现:(1)对基金网络中信息使用程度较低的基金的业绩要显著好于对基金网络中信息使用程度较高的基金。(2)更高的超额收益主要来源于基金经理优异的选股能力,虽由此承担了更多的异质性风险,却并未增大总体风险水平。(3)基金经理更换数据表明基金对网络内信息的使用程度更多地与基金经理特征相关而非与基金特征相关。(4)网络内信息使用程度直接反映了基金私有信息含量,因此更可能与基金经理能力相关。     

Investment manager characteristics, strategy, top management changes and fund performance

The present study examines the performance of Australian investment management organisations with direct reference to their specific characteristics and strategies employed. Using a unique information source, performance is evaluated for actively managed institutional balanced funds, Australian share funds and Australian bond funds. For balanced mandates, performance is evaluated with respect to the investment strategy adopted, the experience and qualifications held by investment professionals, and the tenure of the key investment professionals. The present study examines the performance of top management and the impact on returns when turnover arises. The research documents that a significant number of active Australian equity managers earned superior risk-adjusted returns in the period, however, active managers perform in line with market indices for balanced funds and Australian bond funds. A number of manager characteristics are also found to predict risk-adjusted returns, systematic risk and investment expenses for balanced funds.     

隐性杠杆约束、流动性风险和投资者情绪

本文以2003—2019年间开放式主动管理型的股票型和偏股型基金为样本,以持仓占比为权重估算基金投组中A股的总市场风险暴露,检验结果表明,该序列上升反映了基金面临的隐性杠杆约束收紧,刻画了市场的弱流动性。内在逻辑在于,流动性收紧时,投资者难以通过融资直接增加杠杆,更倾向于重仓持有高市场风险头寸的股票而间接实现杠杆。本文发现隐性杠杆约束所刻画的风险在股票或基金收益截面上的无条件定价基本失效,而条件定价则依赖于低市场情绪与弱流动性。分解基金持股的敞口,进一步发现,因中小盘基金在流动性收紧时具有更强的流动性偏好,其持股的市场风险头寸能够更敏锐地捕捉到弱流动性风险。     

The impact of mutual fund distributions on after-tax returns

This paper analyzes the impact of mutual fund distributions on after-tax returns. Mutual fund objective and management style are the two most important factors which determine the proportion of the fund's total return that is paid out in distributions. The larger the fund's annual distributions, the greater the amount of return lost to taxes. The correlation between portfolio turnover and after-tax return is examined and found to be low. A measure of effective portfolio turnover is developed to show the real effect of turnover on distributions. Within some mutual fund categories, the investor can increase after-tax returns by one or two percent by selecting funds with low distributions.     

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.     

Company name fluency,investor recognition,and firm value

Research from psychology suggests that people evaluate fluent stimuli more favorably than similar information that is harder to process. Consistent with fluency affecting investment decisions, we find that companies with short, easy to pronounce names have higher breadth of ownership, greater share turnover, lower transaction price impacts, and higher valuation ratios. Corporate name changes increase fluency on average, and fluency-improving name changes are associated with increases in breadth of ownership, liquidity, and firm value. Name fluency also affects other investment decisions, with fluently named closed-end funds trading at smaller discounts and fluent mutual funds attracting greater fund flows.     

Capacity effects and winner fund performance: the relevance and interactions of fund size and family characteristics

This study analyzes the existence of capacity effects and performance persistence for US equity mutual funds for the period from 1992 to 2007. We focus on winner funds and distinguish between capacity effects from both size and inflows and explore their interactions with two measures of family size, i.e. family total net assets under management (family TNA) and the number of funds at the family level (family breadth). The differentiation of family size allows us to analyze competing effects at the family level such as economies of scale as well as organizational complexity costs and conflicts of interest. Our empirical results confirm diseconomies of scale at the winner fund level and indicate that only small winner funds with low inflows significantly outperform the four-factor benchmark on a net return basis. There are no universal benefits from economies of scale at the family level, but our findings suggest the existence of conflicts of interest in families offering a relatively large number of funds. Small winner funds in families offering a small number of funds significantly outperform while economies of scale only materialize among extremely small winner funds. We provide detailed robustness checks for our empirical results. Overall, simply conditioning on fund size is not sufficient for selecting future outperforming funds. The results indicate that fund investors may earn positive abnormal returns when combining information on fund size with information on fund flows or fund family affiliations in their asset allocation decisions.     

The Information Content of Australian Managed Fund Ratings

Abstract:  We examine the information content of managed fund ratings for Australian retail investors. Because fund ratings, premised on a quantitative-qualitative model, are highly transitory, we question whether investors formulate their investment decisions with respect to changes in ratings and whether ratings, in turn, react to fund flows. We find that information regarding fund flows can be obtained from ratings, and that rating changes can have far-reaching effects. Investors flock to newly upgraded funds while they penalize those that have been downgraded by withdrawing funds. Investors are constantly anticipating ratings revisions, particularly downgrades, and we attribute this phenomenon to the role of qualitative factors in the ratings.     

Heterogeneity of Funds and Information Disclosure: Evidence

Institutional investors, especially public funds, play an important role in governing listed firms as they grow in Chinese stock markets. We classify each fund as “dedicated,” “transient,” or “mixed,” according to the concentration, turnover, and profit sensitivity of their stock holdings. We find that listed firms with more shares held by dedicated funds have a higher disclosure quality, while firms with more shares held by transient funds have a lower disclosure quality. These findings are consistent in different model settings. In addition, dedicated funds improve the disclosure quality of non-state-owned enterprises more than state-owned enterprises. Dedicated funds can benefit from the lower debt-financing cost and higher stock liquidity of firms with better disclosure quality.