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Holdings Data, Security Returns, and the Selection of Superior Mutual Funds

机译:持股数据,证券收益率和高级共同基金的选择

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摘要

In this paper we show that selecting mutual funds using alpha computed from a fund's holdings and security betas produces better future alphas than selecting funds using alpha computed from a time-series regression on fund returns. This is true whether future alphas are computed using holdings and security betas or a time-series regression on fund returns. Furthermore, we show that the more frequently the holdings data are available, the greater the benefit. This has major implications for the Securities and Exchange Commission's recent ruling on the frequency of holdings disclosure and the information plan sponsors should collect from portfolio managers. We also explore the effect of conditioning betas on macroeconomic variables as suggested by Ferson and Schadt (1996) to identify superior-performing mutual funds as well as the alternative way of employing holdings data proposed by Grinblatt and Titman (1993).
机译:在本文中,我们证明了使用从基金的持有量和安全性beta计算得出的alpha选择共同基金所产生的未来alpha值要比使用从基金收益的时序回归计算得到的alpha选择基金更好。无论是使用持有量和安全性beta计算未来的alpha值,还是对基金收益进行时间序列回归,都是如此。此外,我们表明,持股数据可用的频率越高,收益越大。这对美国证券交易委员会(Securities and Exchange Commission)最近关于持股披露频率的裁决和发起人应向投资组合经理收集的信息计划做出了重大决定。正如Ferson和Schadt(1996)所建议的那样,我们还探索了条件贝塔对宏观经济变量的影响,以识别表现优异的共同基金,以及利用格林巴特和蒂特曼(1993)提出的利用持股数据的替代方式。

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  • 来源
    《Journal of Financial and Quantitative Analysis 》 |2011年第2期| p.341-367| 共27页
  • 作者单位

    New York University, Stern School of Business, 44 W. 4th St., Ste. 9-190, New York, NY 10012;

    New York University, Stern School of Business, 44 W. 4th St., Ste. 9-190, New York, NY 10012;

    Fordham University, Graduate School of Business, 113 W. 60th St., New York, NY 10023;

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