Smart Beta的新度量:每单位跟踪误差的因子暴露

Q4 Economics, Econometrics and Finance Journal of Index Investing Pub Date : 2016-08-31 DOI:10.3905/jii.2016.7.2.109
J. Bender, Xiaole Sun, Taie Wang
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引用次数: 4

摘要

智能贝塔指数的成功是什么样子的?作者认为,成功是指一个指数能够提供对目标因素的强大和一致的暴露水平。此外,应以风险意识的方式进行暴露。相对于资本化加权基准所承担的风险是主动风险,投资者应获得更大的目标因素敞口补偿。作者提供了如何通过筛选和加权决策来构建指数的指导。因为筛选和加权决策将跟踪误差和暴露向同一个方向移动,所以大多数基于规则的指数自然会为每单位跟踪误差提供相当高的暴露。
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A New Metric for Smart Beta: Factor Exposure per Unit of Tracking Error
What does success look like for smart beta indexes? The authors argue that success is the ability of an index to provide a strong and consistent level of exposure to the targeted factor(s). Moreover, exposure should be achieved in a risk-aware way. Risk taken relative to the capitalization-weighted benchmark is active risk, and investors should be compensated with greater exposure to their targeted factor(s). The authors provide guidance on how indexes can be built with this measure in mind via screening and weighting decisions. Because screening and weighting decisions move tracking error and exposure in the same direction, most rules-based indexes naturally provide reasonably strong exposure per unit of tracking error.
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来源期刊
Journal of Index Investing
Journal of Index Investing Economics, Econometrics and Finance-Finance
CiteScore
0.70
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