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A Comprehensive Look at The Empirical Performance of Equity Premium Prediction

机译:全面考察股权溢价预测的经验表现

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Our article comprehensively reexamines the performance of variables that have been suggested by the academic literature to be good predictors of the equity premium. We find that by and large, these models have predicted poorly both in-sample (IS) and out-of-sample (OOS) for 30 years now; these models seem unstable, as diagnosed by their out-of-sample predictions and other statistics; and these models would not have helped an investor with access only to available information to profitably time the market.
机译:我们的文章全面地重新研究了学术文献所建议的变量的性能,这些变量可以很好地预测股票溢价。我们发现,总体而言,这些模型对30年样本内(IS)和样本外(OOS)的预测都很差。这些模型似乎是不稳定的,这是由其样本外预测和其他统计数据诊断得出的;这些模型将无法帮助投资者仅获取可用信息以使市场获利。

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