16 résultats
pour « regulatory »
It highlights the increasing #regulatory focus on #climaterisk faced by #canada's #banks, both domestically through the #osfi and globally through the adoption of guidelines proposed by the #tcfd. As regulators seek to impose more #monitoring, #disclosure, and mitigation obligations on #financialinstitutions, the article raises whether banks' #capitalrequirements should be increased to reflect the #risks associated with #climatechange.
Outsiders in #bank#boards improve #riskgovernance (decrease #risktaking, increase #riskmonitoring) for #regulatory#riskmeasures but worsen risk governance for economic risk measures.
"... this paper argues that recent #eu#regulatory reform to #corporategovernance, as a means to improve #financialstability is a large-scale intellectual fallacy. Absent EU-wide structural reform to control #risktaking in large and complex #financialinstitutions, the stability of the EU #bankingsector will remain compromised. Smaller and less interconnected #banks will both improve bank corporate governance and create a safer and more stable #financialsector."
The paper discusses the risks posed by #artificialintelligence (#ai) systems, from biased lending algorithms to chatbots that spew violent #hatespeech. The author argues that policymakers have a responsibility to consider broader, longer-term #risks from #aitechnology, such as #systemicrisk and the potential for misuse. While #regulatory proposals like the #eu #aiact and the #whitehouse AI Bill of Rights focus on immediate risks, they do not fully address the need for #algorithmicpreparedness. It proposes a roadmap for algorithmic preparedness, which includes five forward-looking principles to guide the development of regulations that confront the prospect of algorithmic black swans and mitigate the harms they pose to society. This approach is particularly important for general purpose systems like #chatgpt, which can be used for a wide range of applications, including ones that may have unintended consequences. The article emphasizes the need for #governance and #regulation to ensure that #aisystems are developed and used in ways that minimize risk and maximize benefit, and it references the #nist AI #riskmanagement Framework as a potential tool for achieving this goal.
"This paper considers the question from a non-technical point of view and surveys the regulatory requirements for capital adequacy contained in the so-called Basel framework. It analyses all contributing parts of the Capital Adequacy Ratio (CAR), including regulatory capital, credit risk, market risk and operational risk, raising in each case the concerns of the literature as well as recent contributions."
"... we conclude that the Prophet model does a good job of forecasting bank capital ratios, which could supplement bank stress tests by regulatory agencies."