Central Banks Communication and the State of the Economy

Dmitrii Filatov
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Abstract

In this paper, I use FOMC minutes transcripts from 1995 to 2019 to estimate a topic model that summarizes Central Banks communication as easily interpretable topical themes and quantifies the proportion of news attention allocated to each theme at each point in time. I then use news attention estimates and show that they accurately predict time series of the key economic state variables. Furthermore, I evidence the link between the news sentiment in FOMC announcements in the dynamic of the key economic state variables.
中央银行的沟通与经济状况
在本文中,我使用1995年至2019年的FOMC会议记录来估计一个主题模型,该模型将央行的沟通总结为易于解释的主题,并量化在每个时间点分配给每个主题的新闻关注比例。然后,我使用新闻关注估计,并表明它们准确地预测了关键经济状态变量的时间序列。此外,我证明了联邦公开市场委员会公告中的新闻情绪与关键经济状态变量动态之间的联系。
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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