Which Factors Are Over-Owned? Or, Supply and Demand: A Possible Roadmap to Solving the Factor Timing Problem

R. Stock
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Abstract

Recent difficulties with certain factor models have increased interest in finding methods to “time” factor investing better. So far, however, the consensus is that factor timing is difficult. As inspiration for a possible solution, this paper reviews one of the best long-term return prediction models for the S&P 500 – the level of equity ownership in investor portfolios – which handily outperforms commonly-cited valuation-based forecast methods by relying on the more fundamental dynamics of supply and demand. Indeed, it has been called the “greatest predictor of future stock market returns” you’ve (probably) never heard of! For example, it can explain the earnings-less bull market of the 1980s, and overcomes the negative-PE problem of the 2008 Financial Crisis for which the traditional methods masked a good buying opportunity.

The first section of the paper recreates and compares the various long-term S&P 500 forecasting methods, using our own robust fitting procedures. This paper then suggests a roadmap for applying this methodology to factor forecasting, since it is already known that standard valuation (or other) methods are not good estimators of factor performance.
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哪些因素被过度拥有?或者,供给和需求:解决要素时序问题的可能路线图
最近某些因素模型的困难增加了人们对寻找更好地“定时”因素投资方法的兴趣。然而,到目前为止,共识是因素时机很难把握。作为一种可能的解决方案的灵感,本文回顾了标准普尔500指数的最佳长期回报预测模型之一——投资者投资组合中的股权水平——该模型依靠更基本的供需动态,轻松优于通常引用的基于估值的预测方法。事实上,它被称为你(可能)从未听说过的“未来股市回报的最佳预测器”!例如,它可以解释20世纪80年代收益较少的牛市,并克服2008年金融危机的负pe问题,传统方法掩盖了良好的买入机会。论文的第一部分使用我们自己的稳健拟合程序,重新创建并比较了各种标准普尔500指数的长期预测方法。然后,本文提出了将该方法应用于因素预测的路线图,因为已经知道标准评估(或其他)方法不是因素性能的良好估计器。
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