In times of financial distress, central banks provide unlimited liquidity to avoid fire sales. In response, banks raise their demand for collateral assets, and the short-term scarcity of collateral securities leads to higher prices, the Fire Buy premium. To avoid collateral scarcity, central...

We study the link between the global financial cycle and macroeconomic tail risks using quantile vector autoregressions. Contractionary shocks to financial conditions and monetary policy in the United States cause elevated downside risks to growth around the world. By tightening financial...

We use macro finance models to study the interaction between macro variables and the Brazilian sovereign yield curve using daily data. We calculate the model implied default probabilities and a measure of the impact of macro shocks on the probabilities. An extension of the Dai-Singleton...

We evaluate the role of financial conditions as predictors of macroeconomic risk first in the quantile regression framework of Adrian et al. (2019b), which allows for non-linearities, and then in a novel linear semi-structural model as proposed by Hasenzagl et al. (2018). We distinguish between...

I propose a Bayesian quantile VAR to identify and assess the impact of uncertainty and certainty shocks, unifying Bloom's (2009) two identification steps into one. I find that an uncertainty shock widens the conditional distribution of future real economic activity growth, in line with a risk...

The current paper broadens the understanding for the role of uncertainty in the context of a macroeconomic environment. It focuses on the implications of uncertainty shocks on indicators that tend to precede financial crises. In an empirical analysis we show for a set of four euro area countries...

The European Central Bank's asset purchase programs, while intended to stabilize the economy, may have unintended side effects on financial stability. This paper aims at gauging the effects on financial markets, the banking sector, and lending to non-financial firms. Using a structural vector...

We develop an extended real business cycle (RBC) model with financially con-strained firms and non-pledgeable intangible capital. Based on a model-consistentseries for firms’ borrowing conditions, we find, within a structural vector autoregres-sion (SVAR) framework, that, in response to an...

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...

We study the cross-country dimension of financial cycles for six euro area countries using three different methodologies: principal component analysis, synchronicity and similarity measures and wavelet analysis. We find that equity prices and interest rates display synchronization across...