Nos derniers articles

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.

This paper introduces the application of Deep Reinforcement Learning (#drl) in #alm, addressing limitations of traditional methods reliant on human judgement. The findings highlight the potential of DRL to enhance #riskmanagement outcomes for #insurers, #banks, #pensionfunds, and #assetmanagers, providing improved adaptability to changing market conditions.

This paper explores the #reputationalrisk associated with #esg investments and provides a formal theoretical valuation system for ESG reputation. The authors argue that ESG criteria adoption has multiple positive dimensions and outcomes, but the analysis of the #risks related to #sustainability is uncommon. They model ESG reputational risk using paradigms of #behaviouralfinance, defining it by subjective probabilities framed in a #probability function based on potential trustees' preferences. The paper highlights the need for accurate evaluation of reputational risks related to ESG investments by firms and other institutions, including #insurance companies and #pensionfunds.