We study the transmission of monetary policy through bank securities portfolios using granular supervisory data on U.S. bank securities, hedging positions, and corporate credit. Banks that experienced larger losses on their securities during the 2022-2023 monetary tightening cycle extended less...

Post-covid inflation was predominantly driven by unexpectedly strong demand forces, not only in the United States, but also in the Euro Area. In comparison, the inflationary impact of adverse supply shocks was less pronounced, even though these shocks significantly constrained economic activity....

We show that decentralized privately created money with unstable values can hinder the traded, more transaction-friction sensitive, sector of the economy. We do so in the context of the NationalBanking Act of 1864 in the United States that created a new federally-regulated, fully-backed currency...

This paper studies the transmission of monetary policy to the stock market through investors' discount factors. To isolate this channel, we investigate the effect of US monetary policy surprises on the ratio of prices of the same stock listed simultaneously in Hong Kong and Mainland China, and...

We revisit time-variation in the Phillips curve, applying new Bayesian panel methods with breakpoints to US and European Union disaggregate data. Our approach allows us to accurately estimate both the number and timing of breaks in the Phillips curve. It further allows us to determine the...

The rise of inflation in 2021 and 2022 surprised many macroeconomists who ignored the earlier surge in money growth because past instability in the demand for simple-sum monetary aggregates had made these aggregates unreliable indicators. We find that the demand for more theoretically-based...

We propose a general simulation-based procedure for estimating quality of approximate policies in heterogeneous-agent equilibrium models, which allows to verify that such approximate solutions describe a near-rational equilibrium. Our procedure endows agents with superior knowledge of the future...

There have been important methodological changes in the Consumer Price Index (CPI) over time. These distort comparisons of inflation from different periods, which have become more prevalent as inflation has risen to 40-year highs. To better contextualize the current run-up in inflation, this...

We introduce a novel approach to solving dynamic programming problems, such as those in many economic models, on a quantum annealer, a specialized device that performs combinatorial optimization. Quantum annealers attempt to solve an NP-hard problem by starting in a quantum superposition of all...

We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, gradient linear boosting). While much less used in the literature, the latter are found to outperform...