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Capacity of Smart Beta Strategies from a Transaction Cost Perspective

机译:从交易成本角度看智能Beta策略的能力

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For BlackRock Managing Director Ronald Ratcliffe, the question of smart beta capacity is a business challenge rather than an intellectual exercise. "As the smart beta market grows, investors often ask us how big these strategies can get before they start losing efficacy," he says. In Capacity of Smart Beta Strategies from a Transaction Cost Perspective, published in the Winter 2017 issue of The Journal of Index Investing, Ratcliffe and co-authors Paolo Miranda and Andrew Ang set out to tackle one dimension of this timely debate.Using a transaction cost model that was developed by the BlackRock team for daily use, the authors estimate the hypothetical breakeven AUM at which the turnover transaction costs of an ETF would exactly offset the historically observed style premium. They perform the analysis for five different single-factor strategies based on momentum, quality, size, value, and minimum volatility, as well as a multifactor strategy based on the first four factors.
机译:对于贝莱德(BlackRock)董事总经理罗纳德·拉特克利夫(Ronald Ratcliffe)来说,智能beta功能的问题是业务挑战,而不是智力活动。他说:“随着智能贝塔市场的发展,投资者经常问我们这些策略在失去效力之前能达到多大的规模。” ``从交易成本角度看智能Beta策略的能力''发表在2017年冬季的《指数投资杂志》上,Ratcliffe和合著者Paolo Miranda和Andrew Ang着手解决这一及时辩论的一个方面。由贝莱德(BlackRock)团队开发的用于日常使用的模型,作者估计了假设的盈亏平衡AUM,在该AUM下,ETF的周转交易成本将完全抵消历史上观察到的风格溢价。他们根据动量,质量,大小,价值和最小波动率对五种不同的单因素策略以及基于前四个因素的多因素策略进行分析。

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