Weighing asset pricing factors: a least squares model averaging approach

Weighing asset pricing factors: a least squares model averaging approach
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权衡资产定价因素:最小二乘模型平均法

DOI:
10.1080/14697688.2019.1602276
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发表时间:
2019-04
影响因子:
1.3
通讯作者:
Tian Xie
Tian Xie
中科院分区:
经济学3区
文献类型:
--
作者:
Yue Qiu;Yu Ren;Tian Xie

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经验证据表明,资产定价模型中的某些因素对于解释特定的投资组合收益比其他因素更重要。我们提出了一种技术,评估流行的线性资产定价模型中包含的因素。我们的方法具有的优点,同时排名的相对重要性,这些定价因素,通过比较其模型权重。作为一个实证验证,我们将我们的方法应用到以下法马和法国[A五因素资产定价模型。J.金融经济,2015年,116,1-22],并证明,模型适应我们的因素排名确实提高了他们的解释力,在样本内和样本外的分析。
Empirical evidence has demonstrated that certain factors in asset pricing models are more important than others for explaining specific portfolio returns. We propose a technique that evaluates the factors included in popular linear asset pricing models. Our method has the advantage of simultaneously ranking the relative importance of those pricing factors through comparing their model weights. As an empirical verification, we apply our method to portfolios formed following Fama and French [A five-factor asset pricing model. J. Financ. Econ., 2015, 116, 1–22] and demonstrate that models accommodated to our factor rankings do improve their explanatory power in both in-sample and out-of-sample analyses.
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