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On the Properties of Regression Tests of Stock Return Predictability Using Dividend-Price Ratios

机译:基于股息价格比的股票收益可预测性回归检验的性质

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This article investigates, both in finite samples and asymptotically, statistical inference on predictive regressions where time series are generated by present value models of stock prices. We show that regression-based tests, including robust tests such as the conditional test and the Q-test, are inconsistent and thus suffer from lack of power in local-to-unity models for the regressor persistence. The main reason is that, despite the near-integrated dividend-price ratio, the convergence rates of the estimates are slowed down because the present value model implies a shrinking innovation variance on the predictor, an effect which is masked in a predictive regression analysis with exogenous constant covariance of innovations. We illustrate these properties in a simulation study.
机译:本文在有限样本中和渐近地研究了对预测回归的统计推断,在预测回归中,时间序列是由股票现值模型生成的。我们表明,基于回归的测试(包括条件测试和Q检验等健壮测试)前后不一致,因此在本地到整体模型中缺乏回归器持久性的功能。主要原因是,尽管股息/价格比率接近于整合,但估计的收敛速度却放慢了,因为现值模型暗示了预测变量的创新方差不断缩小,这种影响在预测回归分析中被掩盖了,创新的外源恒定协方差。我们在模拟研究中说明了这些属性。

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