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Asymmetric Quantile Persistence and Predictability: the Case of US Inflation

机译:非对称分位数的持久性和可预测性:以美国通货膨胀为例

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This article investigates the evidence of time-variation and asymmetry in the persistence of US inflation. We compare the out-of-sample performance of different forecasting models and find that quantile forecasts from an Auto-Regressive (AR) model with level-dependent volatility are at least as accurate as the forecasts of the Quantile Auto-Regressive model, in particular for the core inflation measures. Our results indicate that the persistence of core inflation has been relatively constant and high, but it declined for the headline inflation measures. We also find that the asymmetric persistence of inflation shocks can be mostly attributed to the positive relation between inflation level and its volatility.
机译:本文研究了美国通胀持续存在的时变和不对称性的证据。我们比较了不同预测模型的样本外性能,发现具有水平依赖波动性的自回归(AR)模型的分位数预测至少与分位数自回归模型的预测一样准确。用于核心通胀措施。我们的结果表明,核心通货膨胀的持续性一直相对较高,但对于整体通货膨胀措施却有所下降。我们还发现,通货膨胀冲击的不对称持久性主要归因于通货膨胀水平与其波动之间的正向关系。

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