用网络方法衡量央行情绪及其溢出效应

Maria Paola Priola, Piero Lorenzini, Giacomo Tizzanini, Lea Zicchino
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引用次数: 1

摘要

通过对演讲和新闻稿的文本分析,我们构建了四家央行的情绪指数(CBSI)来(i)研究CBSI对金融变量与GIRF产生的溢出效应;(ii)采用一种新的两步网络方法分析商业银行沟通的时变和统计显著溢出效应。我们发现,在大衰退之后,CBs传达的情绪变得更加消极。其次,cbsi对金融变量的影响是正确的。最后,cbsi相互影响,这些影响是时变的:美联储似乎是最有影响力的机构,特别是在大衰退之后,欧洲央行似乎在欧洲债务危机之后增加了沟通溢出效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Measuring Central Banks’ Sentiment and its Spillover Effects with a Network Approach
Applying text analysis to speeches and press releases we construct a Sentiment Index (CBSI) of four central banks to (i) investigate spillovers generated by CBSIs on financial variables with GIRF; (ii) analyze the time-varying and statistically significant spillovers among CBs’ communication with a new a two-step network approach. We find that after the Great Recession the sentiment conveyed by CBs became more negative. Second, CBSIs influence financial variables with the right sign. Finally, CBSIs affect each other and these effects are time-varying: the Fed seems to be the most influential institution, especially in the aftermath of the Great Recession and the ECB appears to have increased its communication spillovers after the European Debt Crisis.
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