欧洲央行的追踪者:临近预测欧洲央行的新闻发布会

Armando Marozzi
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引用次数: 0

摘要

本文提出了一个计量经济学框架,利用在两个连续的新闻发布会之间可用的传统和文本数据的变化来预测欧洲中央银行(ECB)的货币政策立场和决定。本文还将最新的临近预测分解为变量的边际贡献,以揭示欧洲央行在每个时间点的反应函数的主要驱动因素。在样本外临近预测实验中,该模型提供了对欧洲央行货币政策立场和决策的准确跟踪。文本变量的加入对模型性能的逐步提高有很大的帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The ECB's Tracker: Nowcasting the Press Conferences of the ECB
This paper proposes an econometric framework for nowcasting the monetary policy stance and decisions of the European Central Bank (ECB) exploiting the ow of conventional and textual data that become available between two consecutive press conferences. Decompositions of the updated nowcasts into variables' marginal contribution are also provided to shed light on the main drivers of the ECB's reaction function at every point in time. In out-of-sample nowcasting experiments, the model provides an accurate tracking of the ECB monetary policy stance and decisions. The inclusion of textual variables contributes significantly to the gradual improvement of the model performance.
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