We analyse the relationship between global liquidity and exchange market pressure in 32 emerging market economies. Exchange market pressure is a measure of excess currency demand that is applicable across different exchange rate regimes as it accounts for changes in exchange rates, foreign...

The dynamic effects of ECB announcements, disentangled into pure monetary policy and central bank information shocks, on the euro (EUR) exchange rate are examined using a Bayesian Proxy Vector Autoregressive (VAR) model fed with high-frequency data. Contractionary monetary policy shocks result...

The Eurosystem’s Public Sector Purchase Programme (PSPP) increased the scarcity of safe assets, which caused significant declines and substantial dispersion in European repo rates. However, banks holding these safe assets benefited from this development: First, using the German security...

We assess the effects of financial shocks on inflation, and to what extent financial shocks can account for the "missing disinflation" during the Great Recession. We apply a vector autoregressive model to US data and identify financial shocks through sign restrictions. Our main finding is that...

This paper proposes a tractable financial accelerator New Keynesian DSGE modelthat allows for closed-form solutions. In the presence of financial frictions, theNew Keynesian Phillips curve features a flat slope with respect to the output gapand is strongly forward-looking. All shocks cause...

This paper sheds light on the effect of quantitative easing (QE) on bank lending. Using data on German banks for 2014-2016, I show that QE encourages banks to rebalance from securities to loans. For identification, I use bond redemptions as exogenous variation in banks' need to rebalance their...

Exploiting a granular dataset of banks' security holdings I assess the impact of unconventional monetary policy on bank lending and security holdings. Using a difference-in-differences regression setup and holding the security composition of each bank constant at its level in January 2014, well...

Evidence on the effectiveness of FX interventions is either limited to short horizons or hampered by debatable identification. We address these limitations by identifying a structural vector autoregressive model for the daily frequency with an external instrument. Applying this approach to the...