This document presents the formal evaluation of proposed simplifications to the European Sustainability Reporting Standards (ESRS). While the EBA supports the overall goal of reducing the reporting burden for companies, it expresses significant concern that certain permanent reliefs and data omissions could lead to long-term information gaps. The authority argues that a lack of high-quality, quantitative sustainability data may hinder risk management, facilitate greenwashing, and ultimately threaten financial stability. To address these risks, the EBA recommends implementing time-limited transitions for specific disclosure exemptions to ensure companies eventually provide comprehensive metrics. Additionally, the EBA emphasizes the need for interoperability with global standards and calls for the retention of key indicators, such as greenhouse gas emissions intensity, to support informed investment decisions.
This report examines the expanding natural catastrophe protection gap in Europe, which leaves a significant portion of disaster-related economic losses uninsured. The authors argue that private reinsurers possess the necessary capital, global diversification, and modeling expertise to absorb these risks more effectively than state-led initiatives. They caution that government-backed reinsurance schemes may inadvertently cause market distortions, such as moral hazard or suppressed pricing signals that discourage safety improvements. To enhance societal resilience, the document suggests focusing on increasing insurance take-up rates and implementing stricter land-use regulations. Ultimately, the board advocates for risk-based pricing and open markets to ensure that financial protection remains both sustainable and affordable amidst a changing climate.
The chain-ladder (CL) method is the most widely used claims reserving technique in non-life insurance. This manuscript introduces a novel approach to computing the CL reserves based on a fundamental restructuring of the data utilization for the CL prediction procedure. Instead of rolling forward the cumulative claims with estimated CL factors, we estimate multi-period factors that project the latest observations directly to the ultimate claims. This alternative perspective on CL reserving creates a natural pathway for the application of machine learning techniques to individual claims reserving. As a proof of concept, we present a small-scale real data application employing neural networks for individual claims reserving.
These EIOPA guidelines establish a framework for identifying critical insurance functions and removing resolvability impediments to protect policyholders and maintain financial stability. The sources evaluate whether to assume a "complete stop" or a more flexible "partial stop" of services when assessing a firm's failure, ultimately preferring the latter to better reflect economic reality. Authorities are empowered to address structural issues, such as complex group organizations or insufficient loss-absorption mechanisms, that might hinder orderly resolution. Furthermore, regulators may restrict new business lines or products, particularly those under third-country laws, if they complicate the enforcement of resolution powers. National authorities must integrate these standards into their regulatory frameworks to ensure a harmonized level playing field across the European Union. Implementation of these rules aims to safeguard public funds by reducing the necessity for extraordinary financial support during an insurance crisis.
This document presents an official opinion from EIOPA regarding the European Commission’s efforts to simplify and streamline the European Sustainability Reporting Standards (ESRS). While the authority generally supports reducing the regulatory burden for companies, it expresses specific concerns that excessive reporting reliefs could decrease the quality and comparability of essential data. EIOPA emphasizes that maintaining high-quality disclosures is vital for insurance and pension sectors to accurately assess sustainability risks and fulfill their roles as institutional investors. The text highlights the importance of interoperability with international standards, such as IFRS, and ensures that new reporting rules remain consistent with existing EU legislation like Solvency II and the SFDR. Ultimately, the source advocates for a balanced approach where simplification does not compromise the transparency or stability of the financial system.
Cette stratégie érige la cybersécurité en moteur de la **souveraineté numérique** et de la puissance industrielle française. Elle s'articule autour de trois axes majeurs :
1. Innovation et Défense : La cybersécurité est désignée secteur prioritaire. Des programmes comme « Pionniers de l’IA » soutiennent des projets de rupture (ex. : ARKANE), tandis que des investissements massifs (Helsing) renforcent l'IA de défense. La sécurité s'étend également au domaine civil via le projet éducatif OpenEdIAG.
2. Architecture Institutionnelle : L'État structure un cadre de confiance technique. L'**INESIA**, sous l'égide de l'ANSSI et en lien avec l'AMIAD, définit des protocoles d'évaluation rigoureux pour garantir la robustesse des modèles et prévenir les fuites de données en production.
3. Rayonnement International : La France ambitionne d'imposer ses standards lors de sa présidence du **G7 en 2026**, en luttant contre les détournements malveillants. Parallèlement, des initiatives comme celles de la fondation Current AI favorisent l'accès à des outils de sécurité ouverts.
En conclusion, la maîtrise des normes d'évaluation et la sécurisation des systèmes d'IA deviennent des avantages compétitifs, assurant l'intégrité nationale et l'influence diplomatique de la France.ce française du G7 en 2026 concernant la régulation de l'IA ?
Les résultats de cette enquête révèlent une amélioration globale des conditions de marché, marquée par une plus grande capacité de négociation et une stabilité des tarifs et des franchises. Si les secteurs du dommage aux biens et du cyber bénéficient d'un assouplissement, la branche automobile demeure sous forte tension. Le document souligne également que la prévention des risques devient un levier contractuel majeur, bien que l'accompagnement des assureurs dans ce domaine soit jugé insuffisant. Enfin, le recours aux captives s'impose comme la solution privilégiée pour le financement alternatif des risques.
L’AMF présente les résultats d’une campagne de contrôles menée auprès de cinq sociétés de gestion afin d’évaluer leurs dispositifs de gestion des risques opérationnels (organisation, procédures, suivi des incidents, couverture et reporting). L’étude souligne que ces sociétés disposent généralement de fonctions dédiées et de procédures structurées, mais identifie des lacunes dans l’évaluation de la gravité des incidents, la formalisation des pertes ou la qualité des données déclarées. Le régulateur rappelle l’importance de dispositifs robustes pour protéger les investisseurs, décrit des bonnes et mauvaises pratiques, et note que certains acteurs ont engagé des améliorations de leurs processus internes.
This consultation paper investigates how natural catastrophe insurance within the Solvency II framework can better account for climate change adaptation measures. The document distinguishes between macro-level protections, such as public flood defenses, and micro-level interventions implemented by individual property owners to reduce vulnerability. By analyzing perils like floods, earthquakes, and windstorms, the report evaluates whether the standard formula for capital requirements should be adjusted to reward these risk-reduction efforts. The text explores several regulatory options, including the use of undertaking-specific parameters and internal models, to ensure that insurers have the financial incentive to promote resilience. Ultimately, the paper seeks to bridge the protection gap by aligning prudential capital charges with the actual physical improvements made to insured assets.
EIOPA’s article reports results from a survey of 347 insurance undertakings in 25 European countries on generative AI adoption. It describes that many insurers are increasingly using generative AI, with nearly two-thirds actively deploying tools, mainly for internal productivity tasks, while customer-facing applications remain at proof-of-concept stage. Respondents cited efficiency, cost reduction, customer experience and decision support as drivers. The summary notes challenges including data privacy, security, regulatory compliance and skill gaps, and highlights risks such as inaccurate outputs and third-party reliance. It also describes growing development of dedicated AI governance and risk policies.