774 résultats
pour « Autre »
Natural disasters drive insurance premium increases in affected areas for three years and cause delayed, smaller rises in unaffected areas. Insurers also adjust rejection rates, particularly in low-income regions. Financial constraints influence cost distribution, raising concerns about equity and affordability as climate risks grow and insurers adapt pricing strategies.
The insurance sector faces pressure from rising catastrophic risks, leading to higher premiums and policy non-renewals. This paper proposes an arbitrage-free method for pricing catastrophe reinsurance using the compound dynamic contagion process and Esscher transform. The findings help insurers assess liabilities amid emerging risks like climate change, cyberattacks, and pandemics.
Significant risk transfer (SRT) securitization is increasingly used by major EU banks for risk and capital management. It provides flexible, reasonably priced capital, improving balance sheets and capital ratios. Supervisors assess risk transfer for capital relief. The SRT market has grown substantially and is a key tool for European banks.
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.
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.
• 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.
This paper examines the interplay of the AI Act and GDPR regarding explainable AI, focusing on individual safeguards. It outlines rules, compares explanations under both, and reviews EU frameworks. The paper argues that current laws are insufficient, necessitating broader, sector-specific regulations for explainable AI.
This study examines climate change's impact on water-related home insurance claims in Norway using a unique dataset. It develops a statistical model to address claim data challenges, reveals geographical and seasonal risk patterns, and evaluates pricing strategies. The findings provide insights for insurers to adapt to evolving climate risks.
“As the latest climate-related crisis unfolds in Los Angeles, Treasury releases most comprehensive data on homeowners insurance in history, along with report detailing higher costs to homeowners and insurers of elevated climate perils.”