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When does the yield curve contain predictive power? Evidence from a data-rich environment

机译:收益率曲线何时包含预测能力?来自数据丰富的环境的证据

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This paper analyzes the predictive content of the level, slope and curvature of the yield curve for U.S. real activity in a data-rich environment. We find that, while the slope contains predictive power, the level and curvature are not successful leading indicators. The predictive power of each of the yield curve factors fluctuates over time. The results show that economic conditions matter for the predictive ability of the slope. In particular, inflation persistence emerges as a key variable that affects the predictive content of the slope. The slope tends to forecast the output growth better when inflation is highly persistent. (C) 2017 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
机译:本文分析了数据丰富的环境中美国实际活动的收益率曲线的水平,斜率和曲率的预测内容。我们发现,尽管斜率包含预测能力,但水平和曲率并不是成功的领先指标。每个收益率曲线因子的预测能力会随时间波动。结果表明,经济条件对边坡的预测能力至关重要。特别是,通货膨胀持续性成为影响坡度预测含量的关键变量。当通货膨胀率高度持续时,该斜率倾向于更好地预测产出增长。 (C)2017国际预报员协会。由Elsevier B.V.发布。保留所有权利。

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