Face à l’augmentation des risques (climatiques, technologiques, démographiques), le secteur doit évoluer d’une logique d’indemnisation vers une approche de prévention et de gestion globale des risques. Il insiste sur la nécessité d’anticiper, d’innover et de coopérer avec l’ensemble des acteurs pour maintenir l’assurabilité. L’assurance est ainsi appelée à contribuer davantage à la résilience économique et sociale, tout en intégrant les enjeux environnementaux et sociétaux dans ses pratiques.
EIOPA submitted draft amendments to two Implementing Technical Standards under Solvency II to the European Commission. The proposals incorporate changes from the Solvency II review and aim to reduce the reporting burden by at least 25% across sectors .The amendments include reducing the frequency of certain templates, deleting some annual templates, greater use of proportionality, and technical simplifications. EIOPA states these would lower quarterly templates by 26% for solo undertakings, annual templates by 30%, and data points by 22%, with higher reductions for small and non-complex undertakings.
EIOPA expresses the view that the changes would provide meaningful benefits without jeopardizing policyholder protection or financial stability. The new requirements are set to apply from 30 January 2027, with a transitional provision for 2026 annual reporting.
The European Supervisory Authorities (ESAs) identify ongoing geopolitical tensions—particularly conflicts affecting energy markets—as key risks, potentially driving inflation, weaker growth, and financial market volatility. It states that high valuations and rising interest rates may increase liquidity and asset-quality risks. The update also highlights vulnerabilities in private finance due to limited transparency, complex interconnections, and shifting investor sentiment. Despite these concerns, it describes the EU financial sector as broadly resilient, with strong capital and liquidity positions. Authorities are said to urge continued vigilance, risk monitoring, and prudent management of exposures, especially regarding geopolitical developments and private markets.
The report outlines how digitalization and technological innovation introduce significant operational and digital risks to global financial stability. Key vulnerabilities include the expansion of Artificial Intelligence (AI), which complicates governance and monitoring while increasing systemic correlations. Furthermore, the report highlights risks from third-party dependencies, particularly cloud concentration among a few providers, which could amplify crises. Operational resilience is also a primary concern; outages at critical nodes or cyber incidents are viewed as direct threats. Consequently, the FSB is prioritizing standardized incident reporting and public-private collaboration to mitigate these emerging threats by 2026.
This report assesses how the Minimum Requirement for own funds and Eligible Liabilities (MREL) has influenced the EU banking sector between 2022 and 2024. The document examines the regulatory impact on financial markets, bank profitability, and the evolution of funding structures following the full implementation of BRRD II. It highlights that while most institutions met their final targets by the 2024 deadline, smaller banks still face structural hurdles in accessing wholesale funding markets. Data indicates a significant shift toward senior non-preferred (SNP) debt as a primary tool for meeting subordination requirements. Ultimately, the report concludes that while compliance costs are higher for retail-oriented firms, MREL has successfully strengthened loss-absorbing capacities without destabilizing bank business models.
The article reports that the European Insurance and Occupational Pensions Authority and the EU Agency for the Space Programme present a joint white paper examining the use of Copernicus Earth observation data for supervising extreme weather risks. It describes a pilot project suggesting satellite data can provide near real-time, independent insights to improve risk assessment, loss estimation, and stress testing in the insurance sector. The paper argues such data can enhance identification of affected areas, support micro- and macro-level analysis, and strengthen model validation, contributing to more effective management of climate-related disasters.
The Q4 2025 EBA Risk Dashboard summarizes the European banking sector’s condition using a "traffic light" Risk Indicator heatmap. The report describes a period of high liquidity, noting that no sampled assets fell into the highest risk category for Liquidity Coverage Ratios. While solvency remains strong, with 79% of assets in the top Tier 1 capital bracket, this reflects a slight decrease from 2024. Profitability remains a concentrated risk, as nearly half of assets show high cost-to-income ratios. Overall sector stability is monitored through asset-weighted indicators and a composite Risk Assessment meter.
This research presents a machine learning framework designed to predict and reduce the risk of identity theft caused by phishing and social engineering. The authors developed a Cyber Risk Score (CRS) that combines observable security habits, like password hygiene, with latent psychological traits such as impulsive link-clicking. By utilizing a hybrid stacking ensemble model, the study achieved a 93% accuracy rate in identifying vulnerable social media users. Beyond mere prediction, the system uses SHAP analysis to provide transparent, personalized recommendations tailored to an individual’s specific behavioral weaknesses. This user-centered approach aims to bridge the gap between cybersecurity knowledge and actual online behavior through evidence-based interventions. Ultimately, the framework offers a scalable, ethical solution for organizations to protect users in increasingly sophisticated digital environments.
This paper investigates dynamic insurance pricing and risk management when insurers face correlation ambiguity between underwriting and financial investment risks. By employing a robust control framework and G-expectation theory, the research models how insurers make decisions under worst-case beliefs regarding these unknown dependencies. The authors identify five distinct equilibrium regimes, such as pure underwriting or zero underwriting, which shift based on market conditions and ambiguity levels. A key finding challenges traditional assumptions by showing that uncertainty does not always lead to higher premiums or reduced utility for the insurer. Instead, ambiguity aversion can sometimes improve an insurer’s position by encouraging more conservative and robust portfolio allocations. Ultimately, the study highlights that accurately understanding risk dependence is essential for effective regulatory policy and equilibrium pricing in modern financial markets.
This paper analyzes the shift in European digital regulation from a science-based model to one rooted in constitutional values. While traditional risk management relied on the precautionary principle and quantifiable data, modern frameworks like the GDPR, DSA, and AI Act focus on safeguarding fundamental rights and democracy. The authors argue that this transformation addresses the intangible nature of digital harms and the significant imbalance of power between public regulators and private tech firms. By delegating risk assessment to private entities, the EU utilizes accountability and proportionality as tools to govern technological uncertainty. Ultimately, the text illustrates how legal and ethical standards have replaced empirical science as the primary metrics for regulating the digital ecosystem.