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来源类型Working Paper
规范类型报告
DOI10.3386/w15367
来源IDWorking Paper 15367
Measuring Central Bank Communication: An Automated Approach with Application to FOMC Statements
David O. Lucca; Francesco Trebbi
发表日期2009-09-17
出版年2009
语种英语
摘要We present a new automated, objective and intuitive scoring technique to measure the content of central bank communication about future interest rate decisions based on information from the Internet and news sources. We apply the methodology to statements released by the Federal Open Market Committee (FOMC) after its policy meetings starting in 1999. Using intra-day financial quotes, we find that short-term nominal Treasury yields respond to changes in policy rates around policy announcements, whereas longer-dated Treasuries mainly react to changes in policy communication. Using lower frequency data, we find that changes in the content of the statements lead policy rate decisions by more than a year in univariate interest rate forecasting and vector autoregression (VAR) models. When we estimate Treasury yield responses to the shocks identified in the VAR, we find communication to be a more important determinant of Treasury rates than contemporaneous policy rate decisions. These results are consistent with the view that the FOMC releases information about future policy rate actions in its statements and that market participants incorporate this information when pricing longer-dated Treasuries. Finally, we decompose realized policy rate decisions using a forward-looking Taylor rule model. Based on this decomposition, we find that FOMC statements contain significant information regarding both the predicted rule-based interest rate and the Taylor-rule residual component, and that content of the statements leads the residual by a few quarters.
主题Macroeconomics ; Money and Interest Rates ; Monetary Policy
URLhttps://www.nber.org/papers/w15367
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/573042
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David O. Lucca,Francesco Trebbi. Measuring Central Bank Communication: An Automated Approach with Application to FOMC Statements. 2009.
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