共同基金的表现:大赢家的表现不应该同时优于基准和同行吗?

Cesario Mateus, Irina B. Mateus, N. Todorovic
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引用次数: 0

摘要

标准Fama-French-Carhart模型将“赢家”定义为考虑到所涉及的因素风险,产生最高超额回报的基金;然而,他们并没有提供信息,说明这些优胜者的表现是否超过了招股说明书中的基准或同行。此外,依赖于这些模型的现有文献基本上没有找到性能持久性的证据。在本文中,我们认为真正的(无偏见的)赢家应该被不同地定义:它们是位于排名最高的组(四分位数,五分位数等)的基金,相对于基准和同行组,它们同时产生最高的因素风险调整绩效。在本文中,我们证明了使用这一定义并根据基准和同行群体调整的alpha共同选择真正的赢家基金比单独使用这两个alpha选择基金的表现更好。同时使用这两种调整会产生强大的预测能力,从而导致选择出持续表现良好的基金:我们真正的赢家基金在未来一年的基准调整阿尔法、同行调整阿尔法和夏普比率在统计上显著优于真正的输家基金,这与真正的输家基金产生的比率明显不同。结果对扩展的投资范围和alpha估计方法具有鲁棒性,并且它们不受异常值,基金类型大小或样本内任何特定时期的驱动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mutual fund performance: Shouldn’t clear winners outperform both, the benchmark and the peer-group?
Standard Fama-French-Carhart models define ‘winners’ as those funds that generate highest excess returns given the factor risks involved; however they do not provide information on whether such winners are outperforming their prospectus benchmark or their peer-group. In addition, existing literature relying on these models by and large does not find evidence of persistence in performance. In this paper, we argue that true (unbiased) winners should be defined differently: they are funds placed in the top-ranking group (quartile, quintile, etc.), which generate the highest factor-risk-adjusted performance relative to the benchmark and the peer-group simultaneously. We prove in this paper that using this definition and selecting true winner funds based on benchmark- and peer-group-adjusted alphas jointly lead to better performance than selecting the funds using either of these two alphas separately. Utilising both adjustments at the same time results in a strong predictive ability, leading to a selection of funds that persist in performance: our true winner funds have statistically significantly superior benchmark-adjusted alphas, peer-group adjusted alphas and Sharpe ratios one-year-ahead, which are significantly different from those generated by the true loser funds. The results are robust to extended investment horizon, and alpha estimation method, and they are not driven by outliers, size of fund-sorts, or any particular period within our sample.
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