Fabio Alberto Comazzi
- 11 May 2026
- WORKING PAPER SERIES - No. 3229Details
- Abstract
- We revisit the debate on the effectiveness of central bank communication on exchange rates, contrasting a skeptical view, which holds that communication neither moves exchange rates nor influences them in the desired direction, with an optimistic view that it does. Using nearly 100 official ECB statements on exchange rates made during its monetary policy press conferences since 2002, we show that the ECB tends to mention the exchange rate when the real effective exchange rate deviates from its equilibrium value, whereas journalists’ questions are mainly responsive to the nominal exchange rate. Studying the effects of these mentions, our findings by and large support the skeptical view: after controlling for monetary policy shocks, exchange rate communication has limited immediate effects on the euro exchange rate, which fade quickly. Effectiveness is particularly limited when interest rates are at their effective lower bound.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
F31 : International Economics→International Finance→Foreign Exchange
O24 : Economic Development, Technological Change, and Growth→Development Planning and Policy→Trade Policy, Factor Movement Policy, Foreign Exchange Policy
- 1 April 2025
- WORKING PAPER SERIES - No. 3047Details
- Abstract
- Word embeddings are vectors of real numbers associated with words, designed to capture semantic and syntactic similarity between the words in a corpus of text. We estimate the word embeddings of the European Central Bank’s introductory statements at monetary policy press conferences by using a simple natural language processing model (Word2Vec), only based on the information and model parameters available as of each press conference. We show that a measure based on such embeddings contributes to improve core inflation forecasts multiple quarters ahead. Other common textual analysis techniques, such as dictionary-based metrics or sentiment metrics do not obtain the same results. The information contained in the embeddings remains valuable for out-of-sample forecasting even after controlling for the central bank inflation forecasts, which are an important input for the introductory statements.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E37 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Forecasting and Simulation: Models and Applications
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies