用目标预测器预测欧元区通胀:资金会回流吗?

Matteo Falagiarda, João Sousa
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引用次数: 9

摘要

本文揭示了欧元区未来价格发展的货币和信贷总量的信息内容。总的来说,我们发现这些变量的信息内容随时间的变化很大。我们发现,货币和信贷总量经常被选为通胀的主要预测指标之一,相对于其他预测指标,它们的预测能力在2012年后普遍提高。一项样本外预测工作表明,当货币和信贷总量直接计入预测方程时,相对于基准模型的额外收益通常很高,而且只有在最近一段时间内,跨视界和HICP组成部分的收益才显著。当使用基于最佳预测者的因子增强回归计算预测时,我们确认了货币和信贷变量在预测通货膨胀中的重要性,即使它们的信息内容在更广泛的变量池中被稀释。JEL分类:C53, E37, E41, E51, E58
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting Euro Area Inflation Using Targeted Predictors: Is Money Coming Back?
This paper sheds new light on the information content of monetary and credit aggregates for future price developments in the euro area. Overall, we find strong variation in the information content of these variables over time. We show that monetary and credit aggregates are very often selected among the top predictors of inflation, with their predictive power relative to other predictors generally improving in the post-2012 period. An out-of-sample forecasting exercise indicates that, when monetary and credit aggregates are loaded directly in the forecasting equation, the additional gains over the benchmark model are generally high and significant across horizons and HICP components only in the most recent period. When the forecasts are computed using factor-augmented regressions based on the best predictors, we confirm the importance of monetary and credit variables in forecasting inflation, even if their information content is diluted in a much broader pool of variables. JEL Classification: C53, E37, E41, E51, E58
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