The dynamics of the US economy are modelled using a time-varying structural vector autoregression that incorporates information from the yield curve. We find important changes in the dynamics of macroeconomic variables such as inflation and the federal funds rate. In addition our results suggest...

Dynamic factor models and external instrument identification are two recent advances in the empirical macroeconomic literature. This paper combines the two approaches in order to study the effects of monetary policy shocks. I use this novel framework to re-examine the effects found by Forni and...

We analyze the impact of financial crises and monetary policy on the supply of wholesale funding liquidity, and also on the compositional supply effects through cross-border and relationship lending. For empirical identification, we draw on the proprietary bank-to-bank European interbank dataset...

Based on SVAR models identified by sign restrictions, we estimate the macroeconomic effects of financial and uncertainty shocks in the euro area and the US, paying particular attention to their effects on prices. While our results confirm that such disturbances are important drivers of output...

A growing literature stresses the importance of the “global financial cycle”, a common global movement in asset prices and credit conditions, for emerging market economies (EMEs). It is argued that one of the key drivers of this global cycle is monetary policy in the U.S., which is...

This paper studies the behavior of corporate bond spreads during different market regimes between 2004 and 2016. Applying a Markov-switching vector autoregressive (MS-VAR) model, we document that the dynamic impact of spread determinants varies substantially with market conditions. In periods of...

VARs are a popular tool for forecasting and structural analysis, but ill-suited to handle occasionally binding constraints, like the effective lower bound on nominal interest rates. We extend the VAR framework by modeling interest rates as censored observations of a latent shadow-rate process,...