We study the effectiveness of central bank liquidity injections in restoring bank credit supply following a wholesale funding dry-up. We combine borrower-level data from the Italian credit registry with bank security-level holdings and analyze the transmission of the European Central Bank...

We provide new evidence that credit supply shifts contributed to the U.S. subprime mortgage boom and bust. We collect original data on both government and private mortgage insurance premiums from 1999-2016, and document that prior to 2008, premiums did not vary across loans with widely different...

We examine how U.S. monetary policy affects the international activities of U.S. Banks. We access a rarely studied U.S. bank-level regulatory dataset to assess at a quarterly frequency how changes in the U.S. Federal funds rate (before the crisis) and quantitative easing (after the onset of the...

We conduct a novel empirical analysis of the role of leverage of financial institutions for the transmission of financial shocks to the macroeconomy. For that purpose we develop an endogenous regime-switching structural vector autoregressive model with time-varying transition probabilities that...

This paper explores the relationship between the health of the financial sector and the rest of the economy. We develop an indicator of financial sector health using a distance-to-default measure based on a Merton-style option pricing model. Our measure spans over three decades and appears to...

Which of the strategies for financing constraints in economic models is the most empirically plausible? This paper tests two commonly used models of financing constraints, costly state verification (Townsend, 1979) and moral hazard (Holmström and Tirole, 1997), using a comprehensive data set of...

I develop empirical models of the U.S. economy that distinguish between the aggregate demand effects of short- and long-term interest rates-one with clear "microfoundations" and one more loosely motivated. These models are estimated using government and private long-term bond yields. Estimation...

While the literature has already widely documented the effects of macroeconomic news announcements on asset prices, as well as their asymmetric impact during good and bad times, we focus on the reaction to news based on the description of the state of the economy as painted by the Federal Open...

Machine learning (ML) techniques are used to construct a financial conditions index (FCI). The components of the ML-FCI are selected based on their ability to predict the unemployment rate one-year ahead. Three lessons for macroeconomics and variable selection/dimension reduction with large...

We estimate monetary policy surprises (sentiment) from the perspective of three different textual sources: direct central bank communication (FOMC statements and press conferences), news articles, and Twitter posts during FOMC announcement days. Textual sentiment across sources is highly...