基准:使用投资组合持有数据测量特征选择性

Kingsley Y. Fong, Adrian D. Lee, D. Gallagher
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引用次数: 16

摘要

本研究对Daniel et al.(1997)广泛采用的绩效基准测试方法提出了方法上的调整,作为提高主动股票基金经理alpha测量精度的一种手段。我们通过考虑每月更新特征基准并确保标准普尔/澳大利亚证券交易所300指数的中立性来实现这一目标。将该基准应用于积极的澳大利亚股票基金和模仿基金经理风格特征的模拟被动投资组合的代表性样本,我们发现与使用标准特征基准方法相比,统计差异和更低的跟踪误差。我们还发现证据表明,与标准基准方法相比,改进的基准在统计上推断出接近于零的alpha。我们的研究结果表明,改进的特征基准规范代表了量化基金经理技能的更好方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Benchmarking Benchmarks: Measuring Characteristic Selectivity Using Portfolio Holdings Data
This study proposes methodological adjustments to the widely adopted performance benchmarking methodology of Daniel et al. (1997) as a means of improving the precision of alpha measurement for active equity fund managers. We achieve this by considering the monthly updating of characteristic benchmarks and to ensure neutrality to the Standard & Poor's/Australian Stock Exchange 300 index. Applying this benchmark to a representative sample of active Australian equity funds and simulated passive portfolios that mimic fund manager-style characteristics, we find statistically different and lower tracking error compared with using the standard characteristic benchmark methodology. We also find evidence that the modified benchmark statistically infers an alpha closer to zero compared with the standard benchmark methodology. Our findings suggest that improved specifications of characteristic benchmarks represent better methods in quantifying fund manager skill.
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