Developments in Macro-Finance Yield Curve Modelling: The predictive content of the yield curve for inflation

SSRN Pub Date : 2013-01-01 DOI:10.1017/CBO9781107045149.016
H. Dewachter, Leonardo Iania, Marco Lyrio
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Abstract

We revisit the common practice of using yield spreads to forecast inflation. We address two main issues. First, we assess the importance of decomposing yield spreads into an expectations and a term premium component in order to predict inflation. Second, we quantify the impact of financial shocks in the dynamics of each of these components. The yield spread decomposition is achieved with the use of a no-arbitrage macro- finance model incorporating both macroeconomic and financial factors. The model is applied to the U.S. economy and estimated with Bayesian techniques. We find that the yield spread decomposition is crucial to forecast inflation for most forecasting horizons. Also, the inclusion of control variables such as the short-term interest rate and lagged dependent variable does not drive out the predictive power of the yield spread decomposition.
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宏观金融收益率曲线模型的发展:通货膨胀收益率曲线的预测内容
我们重新审视使用收益率差来预测通胀的常用做法。我们解决两个主要问题。首先,我们评估了将收益率息差分解为预期和期限溢价成分以预测通胀的重要性。其次,我们量化了金融冲击对每个组成部分的影响。利用综合宏观经济和金融因素的无套利宏观金融模型实现了收益率差分解。该模型应用于美国经济,并用贝叶斯技术进行了估计。我们发现,在大多数预测范围内,收益率差分解对预测通货膨胀至关重要。此外,包括短期利率和滞后因变量等控制变量并不能排除收益率差分解的预测能力。
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