Investing in Size and Book-to-Market Portfolios Using Information About the Macroeconomy: Some New Trading Rules

Michael J. Cooper, Huseyin Gulen, Maria Vassalou
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引用次数: 42

Abstract

We propose new trading strategies that invest in size and book-to-market (B/M) decile portfolios. These trading strategies are based on a forecast model that uses mainly business cycle-related variables as predictors. Extensive out-of-sample experiments show profitable predictability in the returns of the decile portfolios. In particular, the proposed strategies outperform passive investments in the same deciles, as well as SMB- and HML-type of strategies. A key characteristic of the proposed strategies is that the long and short positions can be invested in different decile portfolios across time. This is in contrast to the traditional SMB- and HML-type of strategies that always go long and short on the same portfolios. Active strategies that involve the market portfolio, SMB and HML are also examined. A significant level of predictability is identified for SMB. Our results suggest that time variation in SMB and HML is linked to variations in aggregate, macroeconomic, nodiversifiable risk. Thus, our results most closely support a risk-based explanation for SMB and HML.
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利用宏观经济信息投资规模和账面市值比:一些新的交易规则
我们提出了新的交易策略,投资于规模和账面市值比(B/M)十分位投资组合。这些交易策略基于一个预测模型,该模型主要使用与商业周期相关的变量作为预测因子。大量的样本外实验表明,十分位数投资组合的收益具有可预测性。特别是,所提出的策略在相同的十分位数上优于被动投资,以及SMB和hml类型的策略。所提出的策略的一个关键特征是,多头和空头头寸可以在不同的时间内投资于不同的十分位数组合。这与传统的SMB和html类型的策略形成对比,后者总是在相同的投资组合上做多做空。积极的策略,涉及市场组合,中小企业和HML也进行了审查。为SMB确定了一个重要的可预测性水平。我们的研究结果表明,中小企业和HML的时间变化与总体、宏观经济、不可分散风险的变化有关。因此,我们的结果最密切地支持基于风险的SMB和HML解释。
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