Do words transform into actions? The consistency of central banks? communications and decisions




monetary policy, communication tone, dictionary methods, computational linguistics


Research background: This study investigates central banks? (CB) intentions as reflected in their minutes and their relationship with policy decisions. Although CB communication is an inherent part of their inflation targeting (IT) strategy, their communication does not necessarily result in actions. 

Purpose of the article: This study aims to extract policy intentions from central bank minutes and juxtapose these with actual policy decisions to investigate the consistency of their words and deeds in a comparative context. Additionally, we compare the applicability of three dictionaries in policy communication assessments.

Methods: Computational linguistics and textual methods are applied to create proxies for tone from a large dataset of texts. A transformation of words into time series involves the application of a general economic dictionary and two monetary policy-adjusted dictionaries. We examine the association between tone and actual CB decisions with the eta squared coefficient. The research covers 15 European CBs, divided into three subgroups according to the CB experience in inflation targeting. The sample starting points differ as they relate to each country?s IT implementation year; the analysis ends in mid-2019.

Findings & value added: This paper?s value added is firstly methodological, as we test three dictionaries to determine their usefulness. Statistical and qualitative analysis allows us to conclude about superiority of monetary policy specific lexicons for this kind of studies. The extra value added is about the study?s coverage: it covers a large sample and provides a broader illustration compared to most previous examinations. Our results suggest that a relationship exists between communications and actions, although the weakest for late joiners to IT. The latter group of CBs needs to strengthen communication practices. In experienced inflation targeters the short run dimension of credibility exists and opens the room for creating effective monetary policy in terms of managing the expectations of a general audience.


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Adams, M. A., & Conway, T. L. (2014). Eta squared. In A. C. Michalos (Ed.). Encyclopedia of quality of life and well-veing research. Dordrecht: Springer, 1965?1966. doi: 10.1007/978-94-007-0753-5_918.

Apel, M., & Blix Grimaldi, M. (2014). How informative are central bank minutes? Review of Economics, 65(1), 53?76. doi: 10.1515/roe-2014-0104.

Baranowski, P., Bennani, H., & Doryń, W. (2021). Do the ECB?s introductory statements help predict monetary policy? Evidence from a tone analysis. European Journal of Political Economy, 66, 101964. doi: 10.1016/J.EJPOLE CO.2020.101964.

Baranowski, P., Doryń, W., Łyziak, T., & Stanisławska, E. (2021). Words and deeds in managing expectations: empirical evidence from an inflation targeting economy. Economic Modelling, 95, 49?67. doi: 10.1016/J.ECONMOD.2020.1 2.003.

Bennani, H., Fanta, N., Gertler, P., & Horvath, R. (2020). Does central bank communication signal future monetary policy in a (post)-crisis era? The case of the ECB. Journal of International Money and Finance, 104, 102167. doi: 10.1016/J.JIMONFIN.2020.102167.

Bennani, H., & Neuenkirch, M. (2017). The (home) bias of European central bankers: new evidence based on speeches. Applied Economics, 49(11), 1114?1131. doi: 10.1080/00036846.2016.1210782.

Blinder, A. S., Ehrmann, M., Fratzscher, M., De Haan, J., & Jansen, D.-J. (2008). Central bank communication and monetary policy: a survey of theory and evidence. Journal of Economic Literature, 46(4), 910?945. doi: 10.1257/jel.46 .4.910.

Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. New Jersey: Lawrence Erlbaum Associates.

Dincer, N., Eichengreen, B., & Geraats, P. M. (2022). Trends in monetary policy transparency: further updates. International Journal of Central Banking, 18(1), 331?348.

Farka, M. (2011). The asymmetric impact of ?informative? and ?uninformative? Federal Open Market Committee statements on asset prices. Contemporary Economic Policy, 29(4), 469?493. doi: 10.1111/j.1465-7287.2010.00227.x.

Flesch, R. (1948). A new readability yardstick. Journal of Applied Psychology, 32(3), 221?233. doi: 10.1037/h0057532.

Hansen, S., & McMahon, M. (2016). Shocking language: understanding the macroeconomic effects of central bank communication. Journal of International Economics, 99, S114?S133. doi: 10.1016/j.jinteco.2015.12.008.

Hansen, S., McMahon, M., & Prat, A. (2018). Transparency and deliberation within the FOMC: a computational linguistics approach. Quarterly Journal of Economics, 133(2), 801?870. doi: 10.1093/qje/qjx045.

Hubert, P., & Labondance, F. (2021). The signaling effects of central bank tone. European Economic Review, 133, 103684. doi: 10.1016/J.EUROECOREV.20 21.103684.

Jansen, D.-J. (2011). Does the clarity of central bank communication affect volatility in financial markets? Evidence from Humphrey-Hawkins testimonies. Contemporary Economic Policy, 29(4), 494?509. doi: 10.1111/j.1465-7287.201 0.00238.x.

Kincaid, J., Fishburne, R., Rogers, R., & Chissom, B. (1975). Derivation of new readability formulas (automated readability index, Fog Count and Flesch reading ease formula) for Navy enlisted personnel. Institute for Simulation and Training. Retrieved from (15.04.2019).

Loughran, T., & McDonald, B. (2011). When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks. Journal of Finance, 66(1), 35?65.

Loughran, T., & Mcdonald, B. (2014). Measuring readability in financial disclosures. Journal of Finance, 69(4), 1643?1671. doi: 10.1111/jofi.12162.

Montes, G. C., Oliveira, L. V., Curi, A., & Nicolay, R. T. F. (2016). Effects of transparency, monetary policy signalling and clarity of central bank communication on disagreement about inflation expectations. Applied Economics, 48(7), 590?607. doi: 10.1080/00036846.2015.1083091.

Neuenkirch, M. (2013). Monetary policy transmission in vector autoregressions: a new approach using central bank communication. Journal of Banking and Finance, 37(11), 4278?4285. doi: 10.1016/j.jbankfin.2013.07.044.

Rosa, C., & Verga, G. (2007). On the consistency and effectiveness of central bank communication: evidence from the ECB. European Journal of Political Economy, 23(1), 146?175. doi: 10.1016/j.ejpoleco.2006.09.016.

Silge, J., & Robinson, D. (2016). Tidytext: text mining and analysis using tidy data principles in R. Journal of Open Source Software, 1(3), 37. doi: 10.21105/joss. 00037.

Sturm, J.-E., De Haan, (2011). Does central bank communication really lead to better forecasts of policy decisions? New evidence based on a Taylor rule model for the ECB. Review of World Economics, 147, 41?58. doi: 10.1007/s 10290-010-0076-4.




How to Cite

Szyszko , M. ., & Rutkowska, A. (2022). Do words transform into actions? The consistency of central banks? communications and decisions. Equilibrium. Quarterly Journal of Economics and Economic Policy, 17(1), 31–49.