2016
DOI: 10.1016/j.jinteco.2015.12.008
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Shocking language: Understanding the macroeconomic effects of central bank communication

Abstract: We explore how the multi-dimensional aspects of information released by the FOMC has effects on both market and real economic variables. Using tools from computational linguistics, we measure the information released by the FOMC on the state of economic conditions, as well as the guidance the FOMC provides about future monetary policy decisions. Employing these measures within a FAVAR framework, we find that shocks to forward guidance are more important than the FOMC communication of current economic condition… Show more

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Cited by 245 publications
(69 citation statements)
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“…Different communication platforms are used to accomplish the dissemination strategy, but the Federal Reserve Board relies exclusively on electronic means (mostly the internet) to disseminate regularly released statistical data. Blinder et al (2008), Kedan e Stuart (2014), and Hansen andMcMahon (2016a, 2016b). 32.…”
Section: Dissemination Of Information By the Federal Reserve Systemmentioning
confidence: 99%
“…Different communication platforms are used to accomplish the dissemination strategy, but the Federal Reserve Board relies exclusively on electronic means (mostly the internet) to disseminate regularly released statistical data. Blinder et al (2008), Kedan e Stuart (2014), and Hansen andMcMahon (2016a, 2016b). 32.…”
Section: Dissemination Of Information By the Federal Reserve Systemmentioning
confidence: 99%
“…Hansen and McMahon (2016) assess the effect of central bank communications on different market and real economic variables. From a corpus of central bank publications, they estimate an LDA model and manually select those topics that have to do with a discussion of economic outlook.…”
Section: Combining Sentiment and Lexical Datamentioning
confidence: 99%
“…Recent studies in this strand of the literature have used text analysis techniques to determine the effect of central banks' monetary policy communications on asset prices and real variables (Hansen and McMahon, 2016;Hubert and Labondance, 2017).…”
Section: Related Literaturementioning
confidence: 99%