记住分散你的主动风险:来自美国股票etf的证据

Benjamin Herzog, Jenna Jones, Shahyar Safaee
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引用次数: 0

摘要

在本文中,作者估计了美国股票交易所交易基金(etf)的风险分散水平,并观察了相对于上限加权基准的主动风险预算分散的好处。他们首先引入了一个风险模型,该模型只需要历史回报就可以将相对风险分解为与各个因素相关的风险贡献,从而允许直接受到等加权风险贡献概念启发的集中度度量的构建。然后,他们使用这种集中度量来突出多样化对跟踪误差稳定性的影响,并找到确凿的经验证据,表明具有多样化系统主动风险贡献的美国股票etf具有更稳定的跟踪误差(TE)。这些结果表明,寻求稳定TE以积极风险预算为目的的投资者可能会从选择风险分散程度高的etf中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remember to Diversify Your Active Risk: Evidence from US Equity ETFs
In this article, the authors estimate the level of risk diversification for a universe of US equity exchange-traded funds (ETFs) and observe the benefits of diversification for the budgeting of active risk relative to a cap-weighted benchmark. They first introduce a risk model that needs only historical returns to break down relative risk into individual factor-related risk contributions, thus allowing for the construction of a measure of concentration directly inspired by the equally weighted risk contribution concept. They then use this concentration measure to highlight the impact of diversification on tracking-error stability and find conclusive empirical evidence that US equity ETFs that have a diversified set of systematic active risk contributions have a more stable tracking error (TE). These results suggest that investors seeking a stable TE for active risk–budgeting purposes may benefit from selecting ETFs with a strong level of risk diversification.
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