The purpose of this article is to explore the central bank's ability to
management inflation forecast errors in Colombia. We present empirical
evidence based on the Colombian experience with data from the period of 2008
to 2020. The communication channel selected for analysis is the press
releases. The empirical evidence is divided into three steps: (i) regression
analysis using an EGARCH model, (ii) use of VAR models, and (iii) variance
decomposition analysis. The communications effects are significant for
several months and that close to half of the forecast error variance can be
explained by innovations in central bank communication. The results obtained
allow monetary policymakers to develop more efficient strategies for
anchoring expectations and strengthening the central bank credibility.