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L'EIOPA sollicite les contributions des parties prenantes sur une proposition visant à raccourcir 13 ensembles de lignes directrices dans le cadre d'une rationalisation supplémentaire du cadre révisé Solvabilité II. Les révisions s'inscrivent dans l'approche annoncée par EIOPA en matière de simplification réglementaire et de réduction de la charge, y compris une réduction proposée d'au moins 25 % du nombre de lignes directrices individuelles. La consultation vise à clarifier les rôles, simplifier les processus et favoriser un recours accru à la proportionnalité et aux exemptions, sans réduire les attentes en matière de supervision. Les parties prenantes sont invitées à répondre via des enquêtes en ligne.

Un document d'analyse, publié conjointement par le Mécanisme européen de stabilité (MES) et l'Autorité européenne des assurances et des pensions professionnelles (EIOPA), propose une stratégie commune pour remédier au manque de couverture assurantielle face aux catastrophes naturelles. Les sources expliquent qu'un mécanisme de partage des risques à l'échelle européenne permettrait de réduire l'exposition financière des États et des citoyens grâce à une diversification géographique et sectorielle accrue. Le dispositif suggéré repose sur la création d'un pool d'assurance mutuel soutenu par un dispositif de soutien financier (backstop) sous forme de prêts publics à taux avantageux. Cette structure hybride vise à accroître la capacité de souscription du secteur privé tout en garantissant la stabilité financière face aux événements climatiques extrêmes. Enfin, l'étude démontre que cette approche pourrait réduire considérablement le besoin en capital des assureurs et favoriser des primes plus abordables pour les assurés.

Ce document de l'EIOPA définit les spécifications techniques permettant d'identifier les entreprises et groupes d'assurance de petite taille et non complexes (SNCU/SNCG). Il instaure un cadre de proportionnalité visant à adapter les exigences réglementaires de Solvabilité II selon la nature et l'ampleur des risques. Pour bénéficier de ce statut simplifié, les entités doivent satisfaire des critères qualitatifs, comme l'absence de modèles internes, et des critères quantitatifs liés au volume d'activité. L'évaluation repose sur neuf indicateurs de risque précis, incluant notamment le risque de taux d'intérêt, le ratio combiné et les activités transfrontalières. Ces mesures visent à garantir une convergence de la supervision européenne tout en allégeant la charge administrative des acteurs les moins risqués.

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 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.

This discussion paper explores strategies for creating a more integrated data collection system for the insurance and pension sectors. The document seeks stakeholder feedback on reducing regulatory reporting inefficiencies, such as redundant data requirements and inconsistent definitions across various EU frameworks. While the insurance sector already benefits from a highly harmonized system under Solvency II, the paper notes that occupational pension (IORPs) reporting remains fragmented and varies significantly by country. Key priorities include streamlining the reporting of derivatives and collective investment undertakings by potentially leveraging existing data sources like EMIR. Ultimately, the initiative aims to lower compliance costs for firms and modernize the digital infrastructure used for supervisory data sharing.

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.

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.