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The scale of predictability

机译:可预测性的规模

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We introduce a new stylized fact: the hump-shaped behavior of slopes and coefficients of determination as a function of the aggregation horizon when running (forward/backward) predictive regressions of future excess market returns onto past economic uncertainty (as proxied by market variance, consumption variance, or economic policy uncertainty). To justify this finding formally, we propose a novel modeling framework in which pre-dictability is specified as a property of components of both excess market returns and economic uncertainty. We dub this property scale-specific predictability. We show that classical predictive systems imply restricted forms of scale-specific predictability. We conclude that for certain predictors, like economic uncertainty, the restrictions imposed by classical predictive systems may be excessively strong. (C) 2018 Elsevier B.V. All rights reserved.
机译:我们介绍了一个新的程式化事实:当运行(前进/落后)的聚集地域的函数的斜坡和测定系数的驼峰形状的驼峰和系数的变系数在过去的经济不确定性上的预测性回报(如市场方差所代理, 消费方差或经济政策不确定性)。 为了正式地证明这一发现,我们提出了一种新颖的建模框架,其中预测性被指定为多次市场回报和经济不确定性的组件的财产。 我们配备了这种属性规模的可预测性。 我们表明经典预测系统意味着估计规模特异性的可预测性。 我们得出结论,对于某些预测因子,如经济不确定性,经典预测系统所施加的限制可能会过于强劲。 (c)2018 Elsevier B.v.保留所有权利。

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