90 résultats
pour « Actualités réglementaires »
FinCEN (US Treasury Financial Crimes Enforcement Network) warns financial institutions about deepfakes, emphasizing the shift of compliance risks into operational threats affecting finances, operations, and reputation. Firms must adopt tools like metadata analysis and AI to detect fraud. Reframing compliance as operational risk management enhances resilience, aligning compliance with broader strategic and risk mitigation goals.
“As analysts are primary recipients of these reports, we investigate whether and how analyst forecast properties have changed following the provision of Solvency II information. Using a sample of EEA insurers and a difference-in-differences design, we find reductions in analysts’ earnings forecast errors at the consensus and individual levels, as well as a decrease in forecast dispersion.”
The study assesses the impact of Europe's Single Supervisory Mechanism on banks' balance sheets, finding that centrally supervised banks have higher Tier 1 capital ratios. This is influenced by capital requirements, business models, and credit risk, particularly in countries with less stringent regulations, leading to increased resilience.
This article reviews the EU's Artificial Intelligence Act, highlighting its structure, scope, and key principles like fairness and transparency. It critiques the complexity of regulating high-risk AI, forbidden practices, and the risk of hindering responsible innovation despite an overall balanced framework.
The paper analyzes the EU's Artificial Intelligence Act and its impact on AI regulation in banking and finance. It highlights the Act's potential to enhance governance, address high-risk applications, and the need for better coordination among regulators. Findings suggest challenges remain, including the necessity for adaptive frameworks to ensure ethical AI deployment.
“We find suggestive evidence indicating that some firms manipulate the discovery date (“misreport”) of a cybersecurity incident to postpone the disclosure of the incident, as evidenced by a pronounced spike in insider sales before the reported discovery date. We also find that misreporting is more prevalent among firms with weak internal control systems, when firms face low litigation risk, and when firms have greater pressure to meet a disclosure deadline.”
“... we argue there are good reasons for skepticism, as many of its key operative provisions delegate critical regulatory tasks to AI providers themselves, without adequate oversight or redress mechanisms. Despite its laudable intentions, the AI Act may deliver far less than it promises.”
“... we analyse the regulatory necessity in introducing a coercive regulatory framework, and second, present the regulatory concept of the AI Act with its fundamental decisions, core provisions and risk typology. Lastly, a critical analysis points to shortcomings, tensions and watered down assessments of the Act.”
“... the paper analyses (i) how the AI Act should be applied and implemented according to its original intention of a risk-based approach, (ii) how the AI Act should be complemented by sector-specific legislation in the future to avoid inconsistencies and over-regulation, and (iii) what lessons legislators around the world can learn from the AI Act in regulating AI.”
The EU aims to foster digital transformation across sectors by 2030 through legislation on AI, cloud computing, and crypto-assets. However, compared to ESG, banking regulation lacks a clear framework for managing digital risks and supervisory assessment. This paper discusses digital innovation in banking, proposing risk-based Pillar 2 prudential framework and harmonized Pillar 3 disclosures to address this gap.