Nėra lietuvių kalba
Barbara Montero Prieto
- 5 August 2026
- WORKING PAPER SERIES - No. 3270Details
- Abstract
- We design an econometric framework to simulate multiple adverse macro-financial scenarios that can be used in top-down stress tests. First, we create a financial stress index informed by shocks generated via a non-parametric copula estimated on a large dataset of daily financial indicators. Second, we simulate the joint dynamics of macroeconomic indicators conditional on the copula-based financial shocks in a large multi-country Bayesian VAR model. This framework,which we refer to as the Multiple macro-financial stress scenario Simulation Engine, MuSE, allows us to replicate thousands of macro-financial stress scenarios where adverse shocks generated in the financial sector propagate into the overall economy, triggering significant macroeconomic fluctuations. We demonstrate its functionality by generating a large number of scenarios inspired from past crises capturing stress stemming from financial markets, sovereign debt, and geopolitical tensions. Using a top-down solvency stress test model, based on recent EU-wide stress tests, we project the capital depletion for euro area banks and find that adverse scenarios triggered by stock market and sovereign shocks appear to threaten the resilience of the euro area banking sector the most at this juncture.
- JEL Code
- C15 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Statistical Simulation Methods: General
G01 : Financial Economics→General→Financial Crises
G17 : Financial Economics→General Financial Markets→Financial Forecasting and Simulation
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 19 November 2025
- MACROPRUDENTIAL BULLETIN - ARTICLE - No. 32Details
- Abstract
- The severity and the plausibility of stress test scenarios are crucial elements for interpreting the results and ensuring the credibility of stress-testing exercises. This article introduces a comprehensive framework for assessing scenario severity and plausibility in the context of the adverse scenarios used in the EU-wide stress tests. Two families of indicators are developed, characterised by a backward-looking and a forward-looking perspective. Backward-looking indicators compare the scenario with historical regularities, using as key metrics deviations from baseline projections and comparisons with the extreme values of key variables. Forward-looking indicators are drawn from macroeconomic modelling and compare the scenario with projected distributions about future economic developments incorporating the co-movement of variables within a unified analytical framework. These forward-looking metrics enable the severity assessment to account for the prevailing financial conditions and the level of systemic risk in the economy. The analysis presented suggests that the adverse scenarios used in the EU-wide stress tests have become more severe over time, peaking in the 2023 exercise and stabilising in 2025. Taking into account systemic risk, the 2025 scenario appears to be slightly more severe than the 2023 scenario. Overall, the article supports the idea of fostering a more effective definition, monitoring and communication of scenario severity, thereby strengthening the policy relevance and transparency of stress-testing exercises.
- JEL Code
- C53, C54, E37, G18 : Mathematical and Quantitative Methods→Econometric Modeling→Forecasting and Prediction Methods, Simulation Methods