European Central Bank

We introduce two indicators to track the build-up of vulnerabilities in the euro area banking sector on a quarterly basis by leveraging the information collected in EU-wide solvency stress tests. First, we introduce an indicator of conditional capital depletion, the Stress Vulnerability Index (SVI), which quantifies potential losses under adverse scenarios when tail credit risk is highest. Second, we introduce an indicator of earnings vulnerability, the Profitability Vulnerability Index (PVI), which assesses the capacity of the banking sector to generate capital organically.

This paper investigates the information content of the term structure of inflation risks and its usefulness for understanding inflation dynamics. Using prices of traded zero-coupon inflation caps and floors, we develop a robust non-parametric methodology, combined with a Student’s t-copula, to estimate spot and forward risk-neutral densities at short-, medium-, and long-term horizons, i.e., long-horizon risks are identified from liquid instruments alone, at daily frequency, without forward-starting contracts.

This study applies a Local Linear Forest (LLF) for wage forecasting in France. The LLF outperforms benchmarks such as Random Walk (RW), Ridge Regressions (RR) and Random Forests (RF). We also show that adding foreign predictors (i.e. measures of real activity, price and wage pressures from Germany and Italy) to French economic variables significantly improves wage predictions in France.

Macroeconomic policy increasingly requires assessments of risk rather than point forecasts alone. This paper develops a framework to compute impulse responses for scenario probabilities and the full predictive distribution of macroeconomic outcomes. The approach combines a regime-dependent mixture VAR with endogenous state probabilities and heteroskedastic shock identification, complemented by sparse sign and narrative restrictions.