Improved Forecasting of Mutual Fund Alphas and Betas

This paper proposes a simple back testing procedure that isshown to dramatically improve a panel data model's ability toproduce out of sample forecasts. Here the procedure is usedto forecast mutual fund alphas. Using monthly data with an OLSmodel it has been difficult to consistently predict which portfoliomanagers will produce above market returns for their investors.This paper provides empirical evidence that sorting on the estimatedalphas populates the top and bottom deciles not with the bestand worst funds, but with those having the greatest estimationerror. This problem can be attenuated by back testing the statisticalmodel fund by fund. The back test used here requires a statisticalmodel to exhibit some past predictive success for a particularfund before it is allowed to make predictions about that fundin the current period. Another estimation problem concerns theuse of a single statistical model for all available mutual funds.Since no one statistical model is likely to fit every fund,the result is a great deal of misspecification error. This papershows that the combined use of an OLS and Kalman filter modelincreases the number of funds with predictable out of samplealphas by about 60%. Overall, a strategy that uses very modestex-ante filters to eliminate funds whose parameters likely deriveprimarily from estimation error produces an out of sample risk-adjustedreturn of over 4% per annum.     

Estimating the Dynamics of Mutual Fund Alphas and Betas

This article develops a Kalman filter model to track dynamicmutual fund factor loadings. It then uses the estimates to analyzewhether managers with market-timing ability can be identifiedex ante. The primary findings are as follows: (i) Ordinary leastsquares (OLS) timing models produce false positives (nonzeroalphas) at too high a rate with either daily or monthly data.In contrast, the Kalman filter model produces them at approximatelythe correct rate with monthly data; (ii) In monthly data, thoughthe OLS models fail to detect any timing among fund managers,the Kalman filter does; (iii) The alpha and beta forecasts fromthe Kalman model are more accurate than those from the OLS timingmodels; (iv) The Kalman filter model tracks most fund alphasand betas better than OLS models that employ macroeconomic variablesin addition to fund returns.     

Short-Term Persistence in Mutual Fund Performance

We estimate parameters of standard stock selection and markettiming models using daily mutual fund returns and quarterlymeasurement periods. We then rank funds quarterly by abnormalreturn and measure the performance of each decile the followingquarter. The average abnormal return of the top decile in thepost-ranking quarter is 39 basis points. The post-ranking abnormalreturn disappears when funds are evaluated over longer periods.These results suggest that superior performance is a short-livedphenomenon that is observable only when funds are evaluatedseveral times a year.     

False Discoveries in Mutual Fund Performance: Measuring Luck in Estimated Alphas

This paper develops a simple technique that controls for "false discoveries," or mutual funds that exhibit significant alphas by luck alone. Our approach precisely separates funds into (1) unskilled, (2) zero-alpha, and (3) skilled funds, even with dependencies in cross-fund estimated alphas. We find that 75% of funds exhibit zero alpha (net of expenses), consistent with the Berk and Green equilibrium. Further, we find a significant proportion of skilled (positive alpha) funds prior to 1996, but almost none by 2006. We also show that controlling for false discoveries substantially improves the ability to find the few funds with persistent performance.     

Mutual Fund Liquidity Costs

One dollar in purchases or redemptions generates an average cost of $0.006 for US equity mutual funds during the period 1997‐2009, approximately 70% lower than prior estimates derived from older data. However, large cross‐sectional differences exist between funds. Many funds have costs near zero, but funds that hold relatively illiquid equities, have relatively concentrated portfolios, and manage relatively large amounts of assets have average liquidity costs significantly greater than the full sample average. Furthermore, despite a large difference in underlying asset liquidity, US bond funds and US equity funds have similar average liquidity costs.     

Mutual Fund Tax Clienteles

Mutual funds are held by investors in taxable and tax‐qualified retirement accounts. We investigate whether the characteristics, investment strategies, and performance of mutual funds held by these diverse tax clienteles differ. Examining both mutual fund distributions and mutual fund holdings, we find that funds held primarily by taxable investors choose investment strategies that result in lower tax burdens than funds held primarily in tax‐qualified accounts. Despite these differences, we find no evidence that any investment constraints that may arise from these tax‐efficient investment strategies result in performance differences between funds held by different tax clienteles.     

Mutual Fund Family Size and Mutual Fund Performance: The Role of Regulatory Changes

We examine whether the previously documented positive association between fund family size and fund performance is affected by significant regulatory changes (i.e., Regulation Fair Disclosure (Reg FD), the Global Settlement (GS), and increased scrutiny as a result of trading scandals) that have occurred in the last decade. Using Reg FD as a beginning point for these structural changes, we find that, while fund family size was positively associated with fund performance in the period prior to the regulatory changes, this advantage is significantly weaker in the period subsequent to the regulatory changes. Consistent with the weakened advantage of fund family size in fund performance, we find that the greater stock‐picking skill of larger fund families, measured using the earnings announcement returns of the stocks they trade, also weakened subsequent to the regulatory changes. Using narrower event windows around the regulatory changes, we find that the previously documented superior return of large fund families was partly attributable to selective disclosure. We also find that fund families implicated in the trading scandals experienced a decline in their performance during the scandal period. Finally, we examine the role of large investment banks in providing an advantage to large fund families. Family size was positively associated with the extent to which funds traded in the same direction as forecast revisions by analysts from large investment banks in the period prior to Reg FD and the GS and this association declined significantly after the two regulatory events.     

Incentives and Endogenous Risk Taking: A Structural View on Hedge Fund Alphas

Hedge fund managers are subject to several nonlinear incentives: performance fee options (call); equity investors' redemption options (put); and prime broker contracts allowing for forced deleverage (put). The interaction of these option‐like incentives affects optimal leverage ex ante, depending on the distance of fund‐value from the high‐water mark. We study how these endogenous effects influence performance measures used in the literature. We show that reduced‐form measures that do not account for these features are subject to economically significant false discovery biases. The result is stronger for low‐quality funds. We propose an alternative structural methodology for conducting performance attribution in hedge funds.     

Costly Search and Mutual Fund Flows

This paper studies the flows of funds into and out of equity mutual funds. Consumers base their fund purchase decisions on prior performance information, but do so asymmetrically, investing disproportionately more in funds that performed very well the prior period. Search costs seem to be an important determinant of fund flows. High performance appears to be most salient for funds that exert higher marketing effort, as measured by higher fees. Flows are directly related to the size of the fund's complex as well as the current media attention received by the fund, which lower consumers' search costs.     

Macroeconomic Forces and Mutual Fund Betas

This paper develops and tests a model in which fund betas are linearly related to changes in macroeconomic factors. Tests using monthly returns for 171 mutual funds over 1978–1991 were run. Results indicate that equity funds betas, on average, are negatively related to inflation changes and default risk premia while bond fund betas, on average, are negatively related to changes in risk-free rates, industrial production growth, and the term structure. Betas for passive portfolios, however, are not related to the macroeconomic factors examined.     

Learning about Mutual Fund Managers

We study capital allocations to managers with two mutual funds, and show that investors learn about managers from their performance records. Flows into a fund are predicted by the manager's performance in his other fund, especially when he outperforms and when signals from the other fund are more useful. In equilibrium, capital should be allocated such that there is no cross‐fund predictability. However, we find positive predictability, particularly among underperforming funds. Our results are consistent with incomplete learning: while investors move capital in the right direction, they do not withdraw enough capital when the manager underperforms in his other fund.     

农村资金互助社融资难题待解

我国农村金融改革的表象是供给问题,而实质是农民组织化瓶颈约束问题,也就是如何发展农村合作金融,提高农民的市场主体交易地位的问题.这个问题不解决,农村金融体系根本建立不起来.     

印度基金托管人制度

印度把基金托管人一般具有的基金资产保管和投资运作监督两个职能分开，分别由基金托管人(Custodian)和基金受托人(Trustees)承担。……     

On Mutual Fund Investment Styles

Most mutual funds adopt investment styles that cluster arounda broad market benchmark. Few funds take extreme positions awayfrom the index, but those who do are more likely to favor growthstocks and past winners. The bias toward glamour and the tendencyof poorly performing value funds to shift styles may reflectagency and behavioral considerations. After adjusting for style,there is evidence that growth managers on average outperformvalue managers. Though a fund's factor loadings and its portfoliocharacteristics generally yield similar conclusions about itsstyle, an approach using portfolio characteristics predictsfund returns better.     

Mutual Fund Manager Forecasting Behavior

I examine publicly released annual earnings forecasts issued in conjunction with stock recommendations by mutual fund managers of actively managed open-end mutual funds. I find that mutual fund manager annual earnings forecasts systematically overestimate the earnings number later disclosed at the annual earnings announcement. In further analyses, I attempt to distinguish between two explanations for this forecast bias: an untruthful reporting bias (market manipulation) and a truthful cognitive bias (optimism). These explanations generate different predictions about the timing of changes in fundholdings of forecasted securities between the forecast release and annual earnings announcement dates. I interpret my findings as more consistent with an optimism explanation for mutual fund manager annual forecast bias and less consistent with a market manipulation explanation for this bias. I am, however, unable to eliminate an unobservable selection bias either in the decision of the mutual fund manager to report a forecast publicly or in the media's decision to publish that forecast as an explanation for my finding that mutual fund manager forecasts are biased.     

Mutual Fund Flows and Cross‐Fund Learning within Families

We develop a model of performance evaluation and fund flows for mutual funds in a family. Family performance has two effects on a member fund's estimated skill and inflows: a positive common‐skill effect, and a negative correlated‐noise effect. The overall spillover can be either positive or negative, depending on the weight of common skill and correlation of noise in returns. Its absolute value increases with family size, and declines over time. The sensitivity of flows to a fund's own performance is affected accordingly. Empirical estimates of fund flow sensitivities show patterns consistent with rational cross‐fund learning within families.     

Portfolio Manager Ownership and Mutual Fund Performance

This paper examines the association between a mutual fund manager's personal fund investment and mutual fund performance. From a data set of newly released managerial ownership disclosures, I find that fund ownership levels are diverse and, in many instances, quite large. Mutual fund returns are increasing in the level of managerial investment, consistent with personal ownership realigning decision-maker and shareholder interests. Also consistent with the reduction of agency costs, I find that managerial ownership is inversely related to fund turnover. However, there is no evidence of an association between managerial ownership and a mutual fund's tax burden.     

我国封闭式基金业绩持续性研究

本文以2001年-2006年所有封闭式基金为样本，研究了我国基金业绩持续性问题，研究发现我国基金业绩在短期内具有持续性，但随着时间推移基金业绩持续性迅速下降。在此基础上，本文认为高收益基金具有较高的系统风险，而且更倾向于采用动量交易策略。     

The Components of Mutual Fund Fees

Several research studies have found that mutual fund expense ratios decline as funds get larger. This paper decomposes the annual expense ratios of actively managed domestic equity funds into their component fees. Most of the observed decline in total expense ratios comes from the small fees paid to outside service providers and the large majority of this decline occurs for the smallest one third of funds. The largest component of the expense ratio, advisory fees, is essentially constant for larger funds. The second largest component, marketing fees, increases as fund assets grow.