Online transaction fraud poses significant challenges to businesses and consumers, with rule-based systems struggling to keep up. Machine learning, particularly personalized PageRank (PPR), offers promise by analyzing account relationships. Results show PPR enhances fraud detection models, providing valuable insights and stable features across datasets, improving predictive power.
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