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pour « riskassessment »
This Financial Stability Paper proposes enhancements to its analytical framework, focusing on three key areas: 𝗱𝗲𝗳𝗶𝗻𝗶𝗻𝗴 𝗼𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀, 𝗶𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗿𝗶𝘀𝗸 𝗮𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁, and 𝗲𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀. The paper suggests a more quantitative approach to the Financial Policy Committee's goals, a systematic way to identify and model financial shocks, and the development of a 𝗺𝗼𝗱𝘂𝗹𝗮𝗿 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝘁𝗼 𝘀𝗰𝗲𝗻𝗮𝗿𝗶𝗼 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 to improve policy evaluation. This framework is intended to prepare for future challenges and serve as a basis for further discussion.
“This update is based on the EBA reporting framework version 4.0 and covers indicators on institutions' profitability, solvency and operational risk, among others. The update also includes a new sets of risk indicators laid down in the Banking Package (Capital Requirements Regulation and Capital Requirements Directive - CRR3/CRD6), indicators related to Environmental, Social and Governance (ESG), and those already used in the context of the Minimum Requirement for Own Funds and Eligible Liabilities (MREL).”
#cybersecurity goes beyond networks and people, encompassing #physicalsecurity crucial for organizations. Inadequate physical security, seen in incidents like the Oklahoma City bombing, 9/11 attacks, and U.S. Capitol breach, highlight policy and control failures. Effective physical security involves planning, #riskassessment, #controls, and frameworks like #cpted, #nist, and #fema, addressing present and future #threats.
The essential role of #ai in #banking holds promise for efficiency, but faces challenges like the opaque "black box" issue, hindering #fairness and #transparency in #decisionmaking #algorithms. Substituting AI with Explainable AI (#xai) can mitigate this problem, ensuring #accountability and #ethical standards. Research on XAI in finance is extensive but often limited to specific cases like #frauddetection and credit #riskassessment.
#machinelearning #algorithms are increasingly for #riskassessment in the #insuranceindustry, with hybrid methods often outperforming individual ones. Research has identified challenges such as tackling imbalanced datasets, selecting features, and improving interpretability. Newer methods such as #deeplearning and ensembles may further improve accuracy.
"... its ability to provide relevant #riskmitigation strategies was identified as its strongest aspect. However, the research also revealed that #chatgpt's consistency in #riskassessment and prioritization was the least effective aspect. This research serves as a foundation for future studies and developments in the field of #ai-driven #riskmanagement, advancing our theoretical understanding of the application of #aimodels like ChatGPT in #realworld #risk scenarios."
The proposed φ-Divergence Quadrangle presents a refined methodology for understanding and #managing #risk, contributing to the ongoing development of #riskassessment and #riskmanagement strategies.
The paper discusses the importance of #riskinformed #decisionmaking -and the use of #riskassessment to support decisions. It highlights the need for a more dynamic approach to #riskmanagement, which takes into account #uncertainty, changes in systems, phenomena, or values that could alter the underlying premises of the initial risk assessment.
This paper explores the implementation of the #eu's #digitalservicesact (#dsa) with a specific focus on the #riskassessment and #riskmitigation regime outlined in Articles 34-35"
The #eu Digital Services Act (#dsa) establishes a #riskassessment and #riskmitigation regime to address issues like harmful content and structural discrimination, and codes of conduct are meant to guide interpretation of these obligations.