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Review of new trends in the literature on factor models and mutual fund performance

机译:回顾因子模型和共同基金业绩的文献新趋势

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In this paper we provide critical review of recent developments in the mutual fund performance evaluation literature. The new literature centres around two main themes: enhancing explanatory power of the standard Fama-French-Carhart factor models by augmenting them with different factors and altering standard models to account for presence of non-zero alphas in passive indices used as fund benchmarks. The latter includes the literature providing solutions for scenarios in which those benchmarks do not match fund objectives. We find that in the plethora of suggested 'missing' factors, not one can be universally used to explain all anomalies or price all stocks. We also find that new models that adjust a fund's standard Carhart alpha for alpha of its benchmark or for commonalities in its peer-group, provide additional information on fund performance to that given by the standard models. Specifically, these models give account of fund's relative performance - to the benchmark or the peer-group, which is of use to investors.
机译:在本文中,我们对共同基金绩效评估文献中的最新进展进行了批判性的回顾。新文献围绕两个主要主题:通过用不同的因子对标准Fama-French-Carhart因子模型进行增强,增强标准Fama-French-Carhart因子模型的解释能力,以及更改标准模型以解释用作基金基准的被动指数中非零alpha的存在。后者包括为那些基准与基金目标不符的情况提供解决方案的文献。我们发现,在众多建议的“缺失”因素中,没有一种可以被普遍用来解释所有异常或对所有股票定价。我们还发现,新模型可以将基金的标准Carhart alpha调整为基准的alpha值或与其同业中的共同点,从而提供了标准模型所提供的有关基金绩效的更多信息。具体来说,这些模型考虑了基金的相对绩效-基准或对等组,这对投资者有用。

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