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Price-dividend ratios and stock price predictability

机译:市盈率和股价可预测性

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A long-standing puzzle to financial economists is the difficulty of outperforming the benchmark random walk model in out-of-sample contests. Using data from the USA over the period of 1872-2007, this paper re-examines the out-of-sample predictability of real stock prices based on price-dividend (PD) ratios. The current research focuses on the significance of the time-varying mean and nonlinear dynamics of PD ratios in the empirical analysis. Empirical results support the proposed nonlinear model of the PD ratio and the stationarity of the trend-adjusted PD ratio. Furthermore, this paper rejects the non-predictability hypothesis of stock prices statistically based on in- and out-of-sample tests and economically based on the criteria of expected real return per unit of risk.
机译:对于金融经济学家来说,一个长期的难题是,在样本外竞赛中,其表现难以超越基准随机游走模型。本文使用美国1872年至2007年的数据,重新研究了基于价格分红(PD)比率的真实股票价格的样本外可预测性。当前的研究集中在实证分析中PD比率的时变平均值和非线性动力学的重要性。实证结果支持所提出的PD比率非线性模型和趋势调整的PD比率的平稳性。此外,本文在样本内和样本外检验的基础上,从统计学上拒绝了股票价格的不可预测性假设;在经济上,则基于预期的每单位风险预期实际回报的标准,拒绝了股价的不可预测性假设。

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