This 𝗘𝗕𝗔 report, created in consultation with 𝗘𝗦𝗠𝗔 and 𝗘𝗜𝗢𝗣𝗔, addresses the 𝗽𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻 𝗼𝗳 𝗰𝗼𝗿𝗲 𝗯𝗮𝗻𝗸𝗶𝗻𝗴 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 to 𝗘𝗨 𝗳𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝘀𝗲𝗰𝘁𝗼𝗿 𝗲𝗻𝘁𝗶𝘁𝗶𝗲𝘀 (𝗙𝗦𝗘𝘀) by 𝘁𝗵𝗶𝗿𝗱-𝗰𝗼𝘂𝗻𝘁𝗿𝘆 𝘂𝗻𝗱𝗲𝗿𝘁𝗮𝗸𝗶𝗻𝗴𝘀 (𝗧𝗖𝗨𝘀). Specifically, it examines whether existing exemptions from establishing an EU branch for these services, currently extended to EU credit institutions, should be broadened to include all EU FSEs. The report analyzes 𝗾𝘂𝗮𝗻𝘁𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗼𝗿𝘆 𝗱𝗮𝘁𝗮 on 𝗰𝗮𝘀𝗵 𝗲𝘅𝗽𝗼𝘀𝘂𝗿𝗲𝘀 𝗮𝗻𝗱 𝗹𝗲𝗻𝗱𝗶𝗻𝗴 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀 and incorporates 𝗾𝘂𝗮𝗹𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗳𝗿𝗼𝗺 𝘀𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀, concluding that there is 𝗻𝗼 𝗰𝗼𝗺𝗽𝗲𝗹𝗹𝗶𝗻𝗴 𝗰𝗮𝘀𝗲 𝘁𝗼 𝗲𝘅𝗽𝗮𝗻𝗱 𝘁𝗵𝗲𝘀𝗲 𝗲𝘅𝗲𝗺𝗽𝘁𝗶𝗼𝗻𝘀. It also highlights challenges in 𝗱𝗮𝘁𝗮 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 and inconsistencies in the definition of core banking services, suggesting that existing flexibilities and 𝗠𝗶𝗙𝗜𝗗 carve-outs largely accommodate current business needs.
The 𝗘𝗜𝗢𝗣𝗔 has evaluated 𝗵𝗼𝘄 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗶𝗻𝘀𝘂𝗿𝗲𝗿𝘀 𝗮𝗿𝗲 𝗶𝗻𝗰𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗶𝗻𝗴 𝗰𝗹𝗶𝗺𝗮𝘁𝗲 𝗰𝗵𝗮𝗻𝗴𝗲 𝗿𝗶𝘀𝗸𝘀 𝗶𝗻𝘁𝗼 𝘁𝗵𝗲𝗶𝗿 𝗿𝗶𝘀𝗸 𝗮𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁𝘀, specifically within their 𝗢𝗥𝗦𝗔. The findings indicate that most insurers are now including both 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗮𝗻𝗱 𝘁𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝗿𝗶𝘀𝗸𝘀 in their ORSA, utilizing 𝘀𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 more frequently to understand potential financial impacts. While progress has been made, challenges remain, such as 𝗶𝗻𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀 𝗮𝗰𝗿𝗼𝘀𝘀 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗿𝗲𝗴𝗶𝗼𝗻𝘀 and a 𝘀𝗵𝗼𝗿𝘁𝗮𝗴𝗲 𝗼𝗳 𝗵𝗶𝗴𝗵-𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗱𝗮𝘁𝗮. EIOPA aims to continue fostering 𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗼𝗿𝘆 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 and building capacity in this area.
This consultation paper, issued by EIOPA, outlines proposed 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝘀 (𝗜𝗧𝗦) concerning resolution reporting for insurance and reinsurance companies as mandated by 𝗗𝗶𝗿𝗲𝗰𝘁𝗶𝘃𝗲 (𝗘𝗨) 𝟮𝟬𝟮𝟱/𝟭. It details the 𝗽𝗿𝗼𝗰𝗲𝗱𝘂𝗿𝗲𝘀, 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝗳𝗼𝗿𝗺𝘀, 𝗮𝗻𝗱 𝘁𝗲𝗺𝗽𝗹𝗮𝘁𝗲𝘀 for insurers to provide information essential for drawing up and executing resolution plans. The document includes an 𝗶𝗺𝗽𝗮𝗰𝘁 𝗮𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 evaluating policy options for 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗳𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 and the 𝗹𝗲𝘃𝗲𝗹 𝗼𝗳 𝗱𝗲𝘁𝗮𝗶𝗹 𝗳𝗼𝗿 𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴, ultimately favoring less frequent and less granular reporting to reduce the burden on undertakings. Additionally, it addresses 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆, 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗳𝗼𝗿𝗺𝗮𝘁𝘀, 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗽𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻 𝗼𝗳 𝗮𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻, emphasizing cooperation between supervisory and resolution authorities and providing a 𝗽𝗿𝗶𝘃𝗮𝗰𝘆 𝘀𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁 regarding data collection.
𝗢𝗽𝗲𝗻𝗶𝗻𝗴 𝗱𝗮𝘁𝗲 22 July 2025
𝗗𝗲𝗮𝗱𝗹𝗶𝗻𝗲 31 October 2025, 23:59 (CET)
The preprint article, 𝘿𝙤 𝘽𝙖𝙣𝙠𝙨 𝙎𝙥𝙚𝙖𝙠 𝙩𝙝𝙚 𝙎𝙖𝙢𝙚 𝙀𝙎𝙂 𝙇𝙖𝙣𝙜𝙪𝙖𝙜𝙚? 𝘼 𝙏𝙚𝙭𝙩-𝘽𝙖𝙨𝙚𝙙 𝘾𝙡𝙪𝙨𝙩𝙚𝙧𝙞𝙣𝙜 𝘼𝙥𝙥𝙧𝙤𝙖𝙘𝙝 explores the 𝗻𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆 in ESG disclosures among leading Italian banks. The authors, Giuseppe Scandurra and Antonio Thomas, employed 𝗰𝗼𝘀𝗶𝗻𝗲 𝘀𝗶𝗺𝗶𝗹𝗮𝗿𝗶𝘁𝘆 and 𝗵𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝗶𝗰𝗮𝗹 𝗰𝗹𝘂𝘀𝘁𝗲𝗿𝗶𝗻𝗴 to analyze the textual content of non-financial reports. Their research identifies 𝗳𝗼𝘂𝗿 𝗱𝗶𝘀𝘁𝗶𝗻𝗰𝘁 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 among the banks: 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱, 𝘁𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻𝗮𝗹, 𝗶𝗻𝘀𝘁𝗿𝘂𝗺𝗲𝗻𝘁𝗮𝗹, and 𝗶𝗱𝗶𝗼𝘀𝘆𝗻𝗰𝗿𝗮𝘁𝗶𝗰. This 𝗿𝗲𝘃𝗲𝗮𝗹𝘀 𝗮 𝗽𝗲𝗿𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗱𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 in how banks communicate their ESG efforts, despite calls for harmonization. Ultimately, the study highlights the 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗶𝗻 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗮𝘀𝘀𝗲𝘀𝘀𝗶𝗻𝗴 𝗘𝗦𝗚 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 due to varied reporting styles and suggests a need for more specific standards within the banking sector.
𝗘𝗜𝗢𝗣𝗔 has issued new guidance on supervising 𝗺𝗮𝘀𝘀-𝗹𝗮𝗽𝘀𝗲 𝗿𝗲𝗶𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 and 𝗿𝗲𝗶𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 𝘁𝗲𝗿𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻 clauses. This guidance, provided in two annexes to its 2021 Opinion on risk-mitigation techniques, aims to standardize supervisory approaches across Europe.
The first annex focuses on 𝗺𝗮𝘀𝘀-𝗹𝗮𝗽𝘀𝗲 𝗿𝗲𝗶𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲, offering detailed guidance for supervisors on its prudential treatment. It emphasizes ensuring a common European approach, particularly in light of recent high lapse risks in various markets. The guidance helps supervisors evaluate how elements like the measurement period, exclusions, or termination clauses affect risk transfer effectiveness and the 𝗦𝗼𝗹𝘃𝗲𝗻𝗰𝘆 𝗖𝗮𝗽𝗶𝘁𝗮𝗹 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁 (𝗦𝗖𝗥). A 12-month measurement period is generally expected, aligning with the SCR time horizon.
The second annex addresses 𝘁𝗲𝗿𝗺𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝗰𝗹𝗮𝘂𝘀𝗲𝘀 𝗶𝗻 𝗿𝗲𝗶𝗻𝘀𝘂𝗿𝗮𝗻𝗰𝗲 agreements that could undermine effective risk transfer. It highlights provisions that release the reinsurer from responsibility for legitimate losses during the treaty period and scrutinizes contracts where reinsurers can unconditionally retain transferred premiums and assets upon termination while being freed from obligations. These annexes promote supervisory convergence and fair competition within the market.
The 𝙀𝙪𝙧𝙤𝙥𝙚𝙖𝙣 𝘾𝙤𝙢𝙢𝙞𝙨𝙨𝙞𝙤𝙣 has published a 𝗱𝗿𝗮𝗳𝘁 Delegated Regulation amending Regulation (EU) 2015/35 under the 𝗦𝗼𝗹𝘃𝗲𝗻𝗰𝘆 𝗜𝗜 framework. This follows Directive (EU) 2025/2, effective from January 28, 2025, and applicable from January 30, 2027. The proposal seeks to align prudential insurance rules with updated legislation, improve proportionality for smaller insurers, and strengthen supervisory cooperation and macroprudential oversight. It addresses identified issues such as volatility, investment disincentives, and reporting burdens. The changes aim to enhance insurers’ capacity to support the EU economy through increased capital allocation to long-term and sustainable investments, including securitisation and venture capital.
𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗽𝗲𝗿𝗶𝗼𝗱:
17 July 2025 - 05 September 2025
Lack of high-quality public cyber incident data hinders empirical research and predictive modeling for cyber risk. Companies' reluctance to disclose incidents, fearing reputational damage, perpetuates this challenge. Actuarial solutions focus on enhancing existing datasets and employing advanced modeling. A new InsurTech framework is proposed to enrich cyber incident data with entity-specific attributes, addressing the gap in publicly available information. Machine learning models predict incident types and estimate frequencies, demonstrating improved robustness when incorporating InsurTech-derived features. This framework aims to generate transparent, entity-specific cyber risk profiles, supporting tailored underwriting and proactive risk mitigation for insurers and organizations.
L'𝗔𝗖𝗣𝗥 met en garde les institutions financières, notamment les banques en ligne, concernant l'utilisation croissante de « comptes rebonds » pour le 𝗯𝗹𝗮𝗻𝗰𝗵𝗶𝗺𝗲𝗻𝘁 𝗱'𝗮𝗿𝗴𝗲𝗻𝘁 issu de 𝗳𝗿𝗮𝘂𝗱𝗲𝘀. Le rapport de l'ACPR, basé sur des données de 2022 et 2023, révèle que ces comptes servent à recevoir rapidement des fonds frauduleux avant de les transférer, souvent à l'étranger, rendant leur récupération difficile. 𝗘𝗻 𝟮𝟬𝟮𝟯, 𝗽𝗹𝘂𝘀 𝗱𝗲 𝟳𝟬 𝟬𝟬𝟬 𝗰𝗼𝗺𝗽𝘁𝗲𝘀 𝗳𝗿𝗮𝗻ç𝗮𝗶𝘀 𝘀𝘂𝘀𝗽𝗲𝗰𝘁𝘀, 𝗮𝘆𝗮𝗻𝘁 𝘁𝗿𝗮𝗻𝘀𝗶𝘁é 𝗽𝗿è𝘀 𝗱'𝘂𝗻 𝗺𝗶𝗹𝗹𝗶𝗮𝗿𝗱 𝗱'𝗲𝘂𝗿𝗼𝘀, 𝗼𝗻𝘁 é𝘁é 𝗳𝗲𝗿𝗺é𝘀. L'ACPR exhorte les organismes à renforcer leurs dispositifs de prévention et de détection face à cette menace croissante.
The paper 𝙏𝙝𝙚 𝙍𝙚𝙜𝙪𝙡𝙖𝙩𝙞𝙤𝙣 𝙤𝙛 𝘿𝙖𝙩𝙖 𝙋𝙧𝙞𝙫𝙖𝙘𝙮 𝙖𝙣𝙙 𝘾𝙮𝙗𝙚𝙧𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮 by Jasmin Gider (Tilburg University - Tilburg University School of Economics and Management), Luc Renneboog (Tilburg University - Department of Finance), and Tal Strauss (European Central Bank ECB) compares and contrasts the regulatory landscapes of data privacy and cybersecurity in the EU and the US. It outlines the fragmented nature of US regulations, often relying on state-specific laws and sectoral approaches, in contrast to the EU's more unified framework like 𝗚𝗗𝗣𝗥 and 𝗡𝗜𝗦 Directives. The text details the increasing costs and frequency of cyber incidents, emphasizing the insufficient mandatory disclosure requirements in both regions. Furthermore, it identifies gaps in current legislation and ongoing efforts, such as the 𝗘𝗨'𝘀 𝗖𝘆𝗯𝗲𝗿 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 𝗔𝗰𝘁 and the US.'s 𝗖𝗜𝗥𝗖𝗜𝗔, to enhance 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 and address underinvestment in 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆.
This document introduces a novel two-step methodology for money laundering detection that significantly improves upon existing rule-based and traditional machine learning methods. The first step involves representation learning using a transformer neural network, which analyzes complex financial time series data without requiring labels through contrastive learning. This self-supervised pre-training helps the model understand the inherent patterns in transactions. The second step then leverages these learned representations within a two-threshold classification procedure, calibrated by the Benjamini-Hochberg (BH) procedure, to control the false positive rate while accurately identifying both fraudulent and non-fraudulent accounts, addressing the significant class imbalance in money laundering datasets. Experimental results on real-world, anonymized financial data demonstrate that this transformer-based approach outperforms other models in detecting fraudulent activities.