How active is your (nominally) actively managed quantitative fund?

IF 7.5 1区 经济学 Q1 BUSINESS, FINANCE
António F. Miguel , Yihao Chen
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引用次数: 0

Abstract

We study the Active Share (AS) of quantitative actively managed US equity funds (quants). Our results suggest that closet indexing is a common practice among these funds, with 50 % of the assets in quants managed by closet indexers by the end of 2019. This fraction significantly exceeds that observed among human–managed funds (non–quants). Our analysis indicates that AS is associated with lower performance for quants, in contrast to the positive relationship observed for non–quants. We incorporate Tracking Error (TE) alongside AS to further categorize funds based on their level of active management. We find that, after fees, quants tend to underperform their benchmarks across all categories. This result is particularly pronounced among stock pickers, with quants notably trailing non–quants, and for factor bets, which emerge as the poorest performing category. Our findings also challenge the common belief that quants charge lower fees. Although this is generally true for strategies characterized by low AS, it does not hold for those with high AS. Overall, our work documents the prevalence of closet indexing among quants and suggests that significant progress is needed before algorithms can effectively substitute human expertise in strategies that require extensive discretionary decision–making.
你(名义上)积极管理的量化基金有多活跃?
我们研究了量化主动管理的美国股票基金的主动份额(AS)。我们的研究结果表明,封闭式指数在这些基金中是一种常见的做法,到2019年底,量化基金中50%的资产由封闭式指数师管理。这一比例明显超过了在人力管理基金(非量化基金)中观察到的比例。我们的分析表明,与非量化分析师观察到的正相关关系相比,AS与量化分析师较低的绩效相关。我们将跟踪误差(TE)与AS结合起来,进一步根据基金的主动管理水平对其进行分类。我们发现,扣除费用后,量化基金在所有类别的表现往往都不及基准基金。这一结果在选股者中尤其明显,量化投资者明显落后于非量化投资者,而在因子押注者中表现最差。我们的发现也挑战了普遍认为量化分析师收费较低的看法。虽然这通常适用于低AS特征的策略,但并不适用于高AS特征的策略。总体而言,我们的工作记录了量化基金中壁橱索引的盛行,并表明在需要广泛酌情决策的策略中,算法可以有效地取代人类专业知识之前,还需要取得重大进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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