This paper develops a framework for assessing systemic risks and for predicting (out-of-sample) systemic events, i.e. periods of extreme financial instability with potential real costs. We test the ability of a wide range of "stand alone" and composite indicators in predicting systemic events...

Macroeconomic imbalances increase the vulnerability of an economy to adverse shocks, which in turn can lead to crises with severe economic and social costs. We propose an early warning model that predicts such crises. We identify a set of macroeconomic indicators capturing domestic and external...

This paper proposes a large-scale Bayesian vector autoregression with factor stochastic volatility to investigate the macroeconomic consequences of international uncertainty shocks in G7 countries. The curse of dimensionality is addressed by means of a global-local shrinkage prior that mimics...

This paper uses panel econometric techniques to estimate a macro-financial model for fee and commission income over total assets for a broad sample of euro area banks. Using the estimated parameters, it conducts a scenario analysis projecting the fee and commission income ratio over a three...

The paper aims at investigating to what extent wage negotiation set-ups have shaped up firms’ response to the Great Recession, taking a firm-level cross-country perspective. We contribute to the literature by building a new micro-distributed database which merges data related to wage...