Using the Entirety of the Term Structure to Forecast Recessions

Alfredo A. Romero
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Abstract

Using a logit model and quarterly data from 1962 to 2021, we test the forecasting power of the yield spread, a popular leading indicator, and show that forecasting models that include the entirety of the term structure of interest rates provide more accurate estimates of future economic downturns. We also show that models that only include the yield spread are implicitly imposing restrictions in the coefficients of the model resulting in lower predictive power and omitted variable bias issues.
利用整体期限结构预测经济衰退
使用logit模型和1962年至2021年的季度数据,我们测试了收益率差(一种流行的领先指标)的预测能力,并表明包括整个利率期限结构的预测模型可以更准确地估计未来的经济衰退。我们还表明,仅包括收益率差的模型隐含地在模型系数中施加限制,导致较低的预测能力和忽略变量偏差问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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