Nos derniers articles

This study examines how European insurance companies influence mutual fund stability, particularly during periods of significant net outflows. Utilizing Solvency II and Lipper/Eikon data, the study reveals that insurers exhibit contrarian trading behavior, purchasing fund shares when other investors divest, especially in fixed-income funds. This behavior is more pronounced for affiliated funds. The paper also finds that insurers' financial health, indicated by solvency ratios, impacts their ability to act as contrarian traders; lower solvency ratios correlate with fewer purchases during outflows. Funds with insurer investments demonstrate enhanced resilience, exhibiting lower flow-to-performance sensitivity and reduced flow volatility. The findings suggest insurers can mitigate investor runs, but their stabilizing influence may lessen under systemic stress affecting their own financial health.

This study explores how Machiavellianism, a manipulative personality trait, fuels malicious insider behavior through the Fraud Triangle’s elements: pressure, opportunity, and rationalization. Analyzing 768 U.S. employees via PLS-SEM, researchers found Machiavellianism strongly influences all three, with rationalization as the primary driver of unethical intent. The findings highlight rationalization’s role in justifying malicious acts, urging organizations to bolster ethical cultures and accountability to curb insider threats. By linking personality traits to situational factors, the study enhances cybersecurity risk modeling and advocates for behaviorally informed insider threat prevention strategies.

This paper introduces a robust method for evaluating Conditional Value-at-Risk (CVaR) when data distribution can't be simulated. Using rolling data windows as proxies for independent samples, the approach effectively assesses worst-case risk. Applied to Danish fire insurance data, it outperformed traditional DRO (distributional risk optimization) methods—achieving accurate, less conservative estimates in 87% of cases. This advancement enables reliable risk management even with limited tail data. Future research will focus on refining robustness guarantees and integrating extreme value theory into decision-making models involving rare but impactful events.

The report underscores the robustness of Europe’s insurance, reinsurance, and pension sectors despite a volatile macroeconomic environment. Strong capital positions persist, with median Solvency II ratios slightly down but stable. Premium growth surged, with non-life up 8.2% and life at 13.8%. Profitability improved, with median return on assets at 0.7%. However, it points out that risks from exchange rate volatility, elevated interest rates, geopolitical tensions, and cyber threats require vigilant monitoring. It also notes significant US equity exposure, urging caution amid potential market corrections.

EIOPA has published the results of its first EU-coordinated mystery shopping exercise, assessing the sales process for insurance-based investment products (IBIPs) across eight EU member states. While distributors often provided relevant information, areas for improvement were identified in disclosure, transparency, and consumer outcomes. Key findings include inadequate provision of cost information and limited consideration of sustainability preferences. EIOPA Chair Petra Hielkema emphasized the need to explore a more outcome-oriented sales approach, focusing on simple and transparent products that offer value for consumers.

Ce rapport du Haut-commissariat à la Stratégie et au Plan examine la mutualisation des risques climatiques, posant des questions cruciales : qui paie les coûts croissants des événements extrêmes, comment financer la prévention, et quels rôles pour l'État et les assureurs ?
Comparant la situation actuelle à la création des assurances sociales au XIXe siècle, le rapport souligne la nécessité de réinventer la solidarité collective face aux aléas naturels. Les auteurs proposent trois scénarios de réforme, allant d'un rôle régulateur de l'État sur le secteur de l'assurance à une socialisation plus large des risques climatiques, s'inspirant du modèle de la protection sociale.

Insurance Europe responded to the EBA’s consultation on EU anti-money laundering Regulatory Technical Standards, supporting a harmonized, data-driven risk assessment but urging proportionality. They advocate for minimal, targeted data collection, reasonable transition periods, and revised data points to ease burdens, particularly for low-risk products. The federation opposes excessive customer data requirements, supports remote identification, and proposes event-driven updates for low-risk life insurance and simplified due diligence for pensions and pure risk policies. Insurance Europe commits to collaborating for an effective, risk-based AML/CFT framework.

A Europe-wide survey by Insurance Europe and the European Youth Parliament, involving 651 young people from 33 countries, revealed that young Europeans value insurance for protection but find the purchasing process complex and paperwork-heavy. They demand simpler, more digital, and user-friendly solutions. Insurance Europe urges EU policymakers to simplify processes for young consumers.

A review of 28 studies (2019–2023) shows growing academic interest in the relationship between fintech and banking risk, using diverse models and frameworks. Research focuses on bank-level, country-level, and fintech-specific measures, analyzing risks like insolvency, credit, liquidity, and market risk. The study highlights the importance of interdisciplinary and cross-country research, recommends adopting multi-theoretical frameworks, and urges consideration of individual-level factors such as financial literacy and digital access. For policymakers, it offers guidance on monitoring fintech’s impact and stresses the need for comprehensive regulation and global cooperation to ensure financial stability and effective risk management.

This article presents modeling approaches—both structural and reduced-form—to improve the understanding and prediction of environmental risks. It enhances existing models for better risk assessment and pricing, particularly in infrastructure and land use contexts. Potential extensions include advanced temperature and rainfall modeling, such as stochastic mean-reversion and regime-switching Lévy processes. The paper also suggests future research comparing insurance pricing methods and exploring parametric insurance mechanisms, where payouts are triggered by measurable parameters rather than actual losses. These developments aim to refine environmental risk management and insurance strategies.