Bayesian inference in a time series model provides exact, out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty. This study compares and evaluates Bayesian predictive distributions from alternative models, using as an illustration five alternative...

We build a model to simulate how the euro area market-based financial system may function under stress. The core of the model is a set of representative agents re ecting key economic sectors, which interact in asset, funding, and derivatives markets and face solvency and liquidity constraints on...

Our paper uses credit registry data for the euro area to examine how the banking system transmits asset price shocks to credit via revaluation of collateral and subsequent lending decisions. Specifically we examine banks' treatment of real estate collateral during the Covid-19 crisis. First we...

Using a difference-in-differences approach and relying on conftdential supervisory data and an unique proprietary data set available at the European Central Bank related to the 2016 EU-wide stress test, this paper presents novel empirical evidence that supervisory scrutiny associated to stress...

Macro-prudential authorities need to assess medium-term downside risks to the real economy, caused by severe financial shocks. Before activating policy measures, they also need to consider their short-term negative impact. This gives rise to a risk management problem, an inter-temporal trade-off...

The systemic risk measure (SRISK) by V-Lab provides a market view of the vulnerability of financial institutions to a sudden downturn in the economy. To overcome the shortcoming that it cannot be applied to non-listed banks, SRISK characteristics of listed banks are mapped on balance sheet...