We develop a deep learning model to detect emotions embedded in press conferences after the meetings of the Federal Open Market Committee and examine the influence of the detected emotions on financial markets. We find that, after controlling for the Fed's actions and the sentiment in policy...

We identify monetary policy shocks by exploiting variation in the central bank's information set. To be specific, we use differences between nowcasts of the output gap and inflation with final, revised estimates of these series to isolate movements in the policy rate unrelated to economic...

The objective of this paper is to examine the predictability of the monetary policy decisions of the Governing Council of the ECB and the transmission of the unexpected component of the monetary policy decisions to the yield curve. We find, using new methodologies, that markets do not fully...