理解商品收益横截面背后的风险来源

G. Bakshi, Xiaohui Gao Bakshi, Alberto G. Rossi
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引用次数: 14

摘要

我们证明了一个具有平均商品因子、carry因子和动量因子的模型能够描述商品收益的横截面变化。更吝啬的单因素和双因素模型只具有平均和/或进位因素被拒绝。为了提供经济解释,我们表明全球股票波动的创新可以为套利投资组合定价,而基于商品的投机活动衡量的创新可以为动量投资组合定价。最后,分析了各因素与投资机会集之间的关系。数据及网络附录见https://doi.org/10.1287/mnsc.2017.2840本文被财经王能接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the Sources of Risk Underlying the Cross-Section of Commodity Returns
We show that a model featuring an average commodity factor, a carry factor, and a momentum factor is capable of describing the cross-sectional variation of commodity returns. More parsimonious one- and two-factor models that feature only the average and/or carry factors are rejected. To provide an economic interpretation, we show that innovations in global equity volatility can price portfolios formed on carry, while innovations in a commodity-based measure of speculative activity can price portfolios formed on momentum. Finally, we characterize the relation between the factors and the investment opportunity set. Data and the Internet appendix are available at https://doi.org/10.1287/mnsc.2017.2840 This paper was accepted by Neng Wang, finance.
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