160 résultats
pour « riskmanagement »
This work presents a framework for constructing elicitable risk measures with properties like monotonicity, translation invariance, and convexity using multiplicative scoring functions. It defines necessary conditions for these properties and provides a method for developing new elicitable functionals, with applications in finance, statistics, and machine learning.
This paper examines the Solvency II correlation matrix used in Solvency Capital Requirement (SCR) calculations. It warns against misinterpreting null correlations as independence and highlights the matrix's limitations without a well-defined probabilistic model. It also critiques the flawed practice of arbitrarily increasing correlations to inflate capital requirements conservatively.
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 Global Cybersecurity Outlook 2025 reveals escalating cyber risks due to geopolitical tensions, technological advancements, and supply chain vulnerabilities. Over 50% of organizations cite supply chain risks as their top concern. Experts stress updating technology, redefining risk management, and fostering collaboration to address growing cybercrime, AI threats, and regulatory challenges.
This lecture explores how probability theory can quantify uncertainty, chance, and even ignorance. He demonstrates methods to measure the quality of these quantified uncertainties. He also humorously admits a miscalculation during the lecture regarding paired comparisons within the audience.
Generative AI (GAI) is transforming banking risk management, improving fraud detection by 37%, credit risk accuracy by 28%, and regulatory compliance efficiency by 42%. GAI enhances stress testing but faces challenges in privacy, explainability, and skills gaps. Its adoption, led by larger banks, demands holistic strategies for equitable industry impact.
AI adoption in finance introduces risks like model inaccuracies, data security issues, and cyber threats. FINMA notes many institutions are at early development stages for AI governance. It urges better risk management to protect business models and enhance the financial center's reputation.
The ECB has decided to keep capital requirements largely unchanged for 2025 due to the strong performance of banks. However, specific banks will face additional capital requirements due to insufficient provisioning for non-performing loans and high exposures to leveraged loans. The ECB emphasized the need for banks to address governance, risk management, and operational resilience, particularly in light of macroeconomic threats and digital transformation challenges.
This notice emphasizes the importance of culture risk management in financial institutions. It outlines the responsibilities of senior management and the board in shaping and overseeing the organization's culture. By aligning policies, practices, and behaviors with desired cultural values, financial institutions can mitigate risks.
“... commitments to ESG might be viewed as signalling a particular approach to risk management rather than an ideologically-driven willingness to sacrifice profitability.”