This paper studies the informational content of speeches of Fed officials, focusing on financial stability, from 1997 to 2018. We construct indicators that measure the intensity and tone of this topic for both Governors and Fed presidents. When added to a standard forward-looking Taylor rule, a...

We incorporate external information extracted from the European Central Bank's Survey of Professional Forecasters into the predictions of a Bayesian VAR, using entropic tilting and soft conditioning. The resulting conditional forecasts significantly improve the plain BVAR point and density...

We propose a method to adjust for data outliers in Bayesian Vector Autoregressions (BVARs), which allows for different outlier magnitudes across variables and rescales the reduced form error terms. We use the method to document several facts about the effect of outliers on estimation and...