The EU AI Act's implementation begins after a 3-year legislative journey, requiring national authorities to clarify and enforce it. This policy brief outlines Belgium's tasks under the Act, including scope application, exemptions, and the designation of competent authorities to manage AI-related responsibilities.
FINRA's 2025 guidance emphasizes robust third-party risk management due to increased cyberattacks and outages. Firms must strengthen vendor oversight, enhance incident response planning, address fourth-party risks, and adapt to emerging risks like generative AI. Key steps include updating contracts, due diligence, training, and maintaining a vendor inventory.
The EBA amended its ICT and security risk management guidelines due to DORA. The guidelines now apply only to entities covered by DORA (credit institutions, payment institutions, etc.) and focus solely on payment service user relationship management. PSD2 security and operational risk requirements still apply to other payment service providers not under DORA.
This paper introduces "co-opetition" (combining competition and cooperation) to reinsurance risk-sharing. A two-layer game-theoretic framework models insurer-reinsurer contracting and price competition (Stackelberg-Nash), followed by collaborative risk-sharing. The model, using mean-variance preferences, yields explicit equilibrium results, demonstrating the feasibility of analyzing complex reinsurance market dynamics. Future research could explore different preferences, premium principles, and market structures.
This paper explores continuous-time mean-variance reinsurance with heterogeneous beliefs, a novel approach. It finds complex optimal contracts, beyond standard types, and proves their uniqueness. Specific forms emerge under different belief assumptions. Critically, it shows this model better reflects real-world insurer decisions than models ignoring belief differences.
AI is transforming finance, enhancing efficiency while introducing risks like cyber threats and bias. The EU’s AI Act regulates high-risk AI in credit and insurance. Financial institutions must integrate AI responsibly, ensuring transparency and fairness. Supervisors like ACPR will enforce compliance, fostering trust and innovation through collaboration and governance.
Strong corporate governance and regulatory compliance prevent financial misstatements, fraud, and unethical reporting. This study examines board oversight, audits, and internal controls under SOX and IFRS. Ethical leadership, risk management, and enforcement deter misconduct. Case studies highlight best practices for financial integrity, emphasizing governance’s role in corporate sustainability.
The EU's AI Act is a pioneering, risk-based law designed to regulate AI. It balances promoting AI adoption with protecting fundamental rights and democratic values. The Act uses pre-emptive risk assessments to categorize AI technologies and apply corresponding legal requirements, drawing from existing EU product safety laws.
• Le dérèglement climatique rejoint les cyberattaques sur la première marche du podium des risques ;
• Les risques politiques et sociaux sont en forte hausse ;
• L’intelligence artificielle générative suscite une méfiance nouvelle ;
• De manière générale, l’environnement est encore plus risqué en 2025 qu’il ne l’était en 2024 ;
• Les inégalités et tensions sociales inquiètent les assureurs pour la société française.
Learning from industry cybersecurity breaches boosts firm growth and performance. Firms adapt CEO pay to manage risk and invest in sales, seizing opportunities. This shows learning from rivals' misfortune is valuable, highlighting the strategic importance of competitor learning.