The report highlights Federated Learning's (FL) benefits in claims loss modeling by enabling collaboration across multiple insurance datasets without data sharing. FL addresses data privacy concerns, rarity of claim events, and lack of informative factors. It enhances forecasting effectiveness while preserving data privacy, applicable beyond insurance to fraud detection and catastrophe modeling, fostering future collaborations.
The theory of regulatory compliance has enabled the development of differential monitoring, emphasizing tailored, impactful regulations over uniform approaches, proving crucial in risk assessment and
This paper defines vector-valued risk measures using axioms and shows they ignore dependence structures of input random vectors, unlike set-valued risk measures. Convex vector-valued risk measures are
The paper empirically analyzes the ECB's climate-risk-related supervisory efforts' impact on banks' climate risk exposure, management, and green finance activities. Using a difference-in-difference se