Abstract : We explore empirically the theoretical prediction that waves of optimism or pessimism may
have aggregate effects, in the context of monetary policy. We investigate whether the
sentiment conveyed by ECB and FOMC policymakers in their statements affect the term
structure of private short-term interest rate expectations. First, we quantify central bank tone
using a computational linguistics approach. Second, we identify sentiment as exogenous
shocks to these quantitative measures using an augmented narrative approach following the
information friction literature. Third, we estimate the impact of sentiment on private agents’
expectations about future short-term interest rates using a high-frequency methodology and
an ARCH model. We find that sentiment shocks increase private interest rate expectations
around maturities of one and two years. We also find that this effect is non-linear and
depends on the state of the economy and on the characteristics (precision, sign and size) of
the sentiment signal.