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.     

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.     

On the Optimality of Portfolio Insurance

This paper examines the optimality of an insurance strategy in which an investor buys a risky asset and a put on that asset. The put's striking price serves as the insurance level. In complete markets, it is highly unlikely that an investor would utilize such a strategy. However, in some types of less complete markets, an investor may wish to purchase a put on the risky asset. Given only a risky asset, a put, and noncontinuous trading, an investor would purchase a put as a way of introducing a risk-free asset into the portfolio. If, in addition, there is a risk-free asset and the investor's utility function displays constant proportional risk-aversion, then the investor would buy the risk-free asset directly and not buy a put. In sum, only under the most incomplete markets would an investor find an insurance strategy optimal.     

Target-Bequest Investment and Insurance Fund

We propose a new type of investment fund, a Target-Bequest Fund (TBF), for which the manager of the fund invests to maximize the probability of reaching a bequest goal, specified by the investor. We assume the fund pays dividends at a rate proportional to the value of the fund, with the proportion also specified by the investor. In addition to considering this basic fund, we propose two extensions. The first extension is to impose a no-borrowing constraint. Indeed, unless the investment fund is a hedge fund, it will likely not allow the manager to invest more in the risky asset than is available in the fund, so this constraint is a realistic one. The second extension is to allow the fund manager to buy life insurance to help reach the bequest goal. We consider both extensions in the special case for which the proportional dividend rate is less than or equal to the riskless rate of return. Our focus is to obtain explicit solutions in a simplified market and insurance setting to give actuaries implementing this fund design some rules-of-thumb for investing in a financial market and buying life insurance in more realistic settings. We fully expect these rules-of-thumb to be generally valid in those more realistic settings.     

Leading the herd: evidence from mutual funds’ buy and sell decisions

This article investigates whether a mutual fund’s performance is related to its herding behavior. Using the methodology of Sias (Rev Finance Stud 17:165–206, 2004), we develop a measure to capture the magnitude that a fund’s buy (sell) decisions are leading other funds’ buys (sells), and find that a fund’s performance is positively (negatively) related to its “buy leading” (“sell leading”). We interpret these findings as evidence that “buy leaders” (“sell leaders”)’ performance benefits (suffers) from the positive (negative) price effect associated with buy (sell) herds. Additionally, we find a positive relationship between fund performance and valuation-motivated “buy leading”, while we find weak evidence on the relationship between performance and valuation-motivated “sell leading”. We interpret these results as evidence that leading funds’ outperformance is due, in part, to their ability to value stocks.     

Investor sentiment and return predictability of disagreement

This study examines the influence of investor sentiment on the relationship between disagreement among investors and future stock market returns. We find that the relationship between disagreement and future stock market returns time-varies with the degree of investor sentiment. Higher disagreement among investors’ opinions predicts significantly lower future stock market returns during high-sentiment periods, but it has no significant effect on future stock market returns during low-sentiment periods. Our findings imply that investor sentiment is related to several causes of short-sale impediments suggested in the previous literature on investor sentiment, and that the stock return predictability of disagreement is driven by investor sentiment. We demonstrate that investor sentiment has a significant impact on the stock market return predictability of disagreement through in-sample and out-of-sample analyses. In addition, the profitability of our suggested trading strategy exploiting disagreement and investor sentiment level confirms the economic significance of incorporating investor sentiment into the relationship between disagreement among investors and future stock market returns.     

Hedge funds and optimal asset allocation: Bayesian expectations and spanning tests

This paper analyzes the contribution of hedge funds to optimal asset allocations between 1993 and 2010. The preferences of specific institutional investors are captured by implementing a Bayesian asset allocation framework that incorporates heterogeneous expectations regarding hedge fund alpha. Mean-variance spanning tests are used to infer the ability of hedge funds to significantly enhance the mean-variance efficient frontier. Further, a novel democratic variance decomposition procedure sheds light on the dynamics in the co-movement of hedge fund returns with a set of common benchmark assets. The empirical findings indicate that portfolio benefits of hedge funds are time-varying and strongly depend on investor optimism regarding hedge funds’ ability to generate alpha. In general, allocations to hedge funds improve the global minimum variance portfolio even after controlling for short-selling restrictions and minimum diversification constraints. However, due to dynamics underlying the composition of the aggregate hedge fund universe, the factor structure of hedge fund returns has become more similar to the benchmark assets over time.     

COGNITIVE DISSONANCE AND MUTUAL FUND INVESTORS

We present evidence from questionnaire responses of mutual fund investors about recollections of past fund performance. We find that investor memories exhibit a positive bias, consistent with current psychological models. We find that the degree of bias is conditional upon previous investor choice, a phenomenon related to the well-known theory of cognitive dissonance. Psychological and economic frictions in the mutual fund industry are examined via a cross-sectional study of equity mutual funds. We find an unusually high frequency of poorly performing funds, consistent with investor “inertia.” We also examine the differential responses of investment dollars to past performance, controlling for survivorship. These show that the effect is confined to the top quartile. We find little evidence that the response to poor performance is unusual.     

Fund closings as a signal to investors: Investment performance of open-end mutual funds that close to new shareholders

This article examines the growing phenomenon of mutual fund closings by analyzing the investment performance of open-end funds that close to new investors. We find that: (1) the average excess return (estimated by Jensen's alpha) was positive in the 24 months prior to closing, (2) the average excess return was not significantly different from zero in the 24 months after closing, and (3) the funds in the sample on average exhibited a significant decline in investment performance after closing. These findings suggest that the fund managers' strategic decision to close the fund in order to slow down the growth in net assets does not prevent investment performance from declining. For the individual investor, an impending fund closing is a signal not to invest in the fund. It is also a signal that current shareholders consider alternative investments.     

Institutional investor networks and firm innovation: Evidence from China

We examine the impact of institutional investor networks on firm innovation in China. Employing the unexpected departure of mutual fund managers and the inclusion of the Shanghai-Shenzhen 300 index as identifications, we find that institutional investor networks have a positive impact on firm innovation. Specifically, firms that are hold by well-connected institutional investors are motivated to make R&D investments and receive greater patents than their counterparts. This positive influence is more pronounced for non-SOEs and for firms located in less-developed regions, indicating that institutional investor networks act as information flow facilitator and a value certifier to encourage innovation activities.     

Disagreement and Learning: Dynamic Patterns of Trade

The empirical evidence on investor disagreement and trading volume is difficult to reconcile in standard rational expectations models. We develop a dynamic model in which investors disagree about the interpretation of public information. We obtain a closed‐form linear equilibrium that allows us to study which restrictions on the disagreement process yield empirically observed volume and return dynamics. We show that when investors have infrequent but major disagreements, there is positive autocorrelation in volume and positive correlation between volume and volatility. We also derive novel empirical predictions that relate the degree and frequency of disagreement to volume and volatility dynamics.     

Herd behaviour & investor sentiment: Evidence from UK mutual funds

The aims of this paper are to detect evidence of institutional investor herding behaviour and examine the role that investor sentiment plays in institutional investor herding behaviour. The herding behaviour is investigated by examining the dispersion of time varying beta of UK open-end and closed-end funds. The study finds evidence of fund managers' herding behaviour, which suggests they are likely to herd on market portfolio, size, and value factors. UK market-wide investor sentiment index is used for investigating the effects of investor sentiment on institutional herding behaviour. We find a unidirectional investor sentiment effect on the herding of UK mutual fund managers. We also reveal that the sentiment factors affecting UK open-end and closed-end fund managers herding behaviour are different due to the differences in fund structure.     

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.     

THE PERFORMANCE OF UK CLOSED-END FUNDS: A COMPARISON OF THE VARIOUS RANKING CRITERIA

This study considers the performance of UK Investment Trusts over the ten-year period 1968 to 1977, using the major criteria suggested in the literature. The results indicate that UK closedend funds were generally inferior (ex post) to the market portfolio (FT Actuaries All-Share Index). These findings were invariant to the particular peiformance methodology selected. When the overall test period was broken up into sub-periods it was also found that the ex post performance findings were not particularly stable or consistent over time. These results highlight the problems a fund investor would face in attempting to predict future fund performance on the basis of historical results.     

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.     

基金业绩归因与投资者行为

本文以2006年1月至2016年12月中国64家股票型主动管理基金为样本,从基金净资金流变化的角度,检验了投资者决策与基金业绩结构的关系,以期更好地理解投资者行为。本文结论有:(1)整体上,投资者在衡量基金经理能力时,更关注原始超额收益率或只基于市场风险调整风险敞口,这可能与中国市场投资工具仍然不够充分、风险难以有效对冲有关;(2)机构投资者相比个人投资者对风险敞口的识别更严格;(3)简单模型的优势集中在市场波动低、投资者情绪高的时期;(4)除基金经理能力外,净资金流变化对市场风险报酬也很敏感;(5)从alpha的角度,我国基金市场仍存在“赎回异象”,可能与“处置效应”有关,仍需提升投资者对风险的认知,引导市场形成更加科学的投资观念。     

A Portfolio's Country Exposure Management: The Case of Latin American Mutual Funds

This study empirically examines the forecasting ability and performance of Latin American fund managers by evaluating changes in portfolio country exposure. It employs a methodology based on attribution returns. An attribution return is defined as the difference between the actual monthly fund return and the return that would have been generated by the previous month portfolio's country exposure. The study finds three major results. In the aggregate, Latin American fund managers demonstrate forecasting ability as evidenced by a positive and statistically significant attribution return. The fund managers outperform a regional benchmark when measured with Jensen's alpha, and the attribution return is positively correlated with alpha. Attribution returns are mostly negative during periods of financial instability in the region.     

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.     

Bayesian Alphas and Mutual Fund Persistence

We use daily returns to compare the performance predictability of Bayesian estimates of mutual fund performance with standard frequentist measures. When the returns on passive nonbenchmark assets are correlated with fund holdings, incorporating histories of these returns produces a performance measure that predicts future performance better than standard measures do. Bayesian alphas based on the Capital Asset Pricing Model (CAPM) are particularly useful for predicting future standard CAPM alphas. Over our sample period, priors consistent with moderate to diffuse beliefs in managerial skill dominate more skeptical prior beliefs, a result that is consistent with investor cash flows.     

投资者教育发挥作用了吗?——来自公募基金个人投资者调查数据的证据

投资者教育是保障资本市场平稳运行、良性发展的重要举措,也是我国资本市场重要的基础性制度建设。本文利用20000多份全国公募基金个人投资者调查数据,分析了投资者教育对基金投资收益的影响,并基于行为金融学框架探究了其背后的作用机制。以往文献研究表明,金融知识水平对投资收益会产生显著影响,本文研究发现,获取金融知识的渠道也会影响投资收益。相对于自己学习金融知识、相关工作经验累积金融知识、向亲戚朋友学习金融知识,投资者教育(如参加金融机构的投资教育活动、接受金融经济类课程或培训)更有助于投资者缓解趋势追逐、频繁交易、处置效应等交易行为偏差,从而获得更高的投资收益。进一步分析表明,投资者教育通过提高“理性程度”来提升基金投资盈利概率、投资总收益率和年均收益率的中介效应分别为19.41%、17.09%和12.75%。此外,不同群体参与投资者教育的积极性和受教育效果存在显著差异,投资者教育要更多采取“分类教育”的形式。本文研究对进一步加强投资者教育、更好地推动资本市场发展具有一定的参考意义。