Nos derniers articles

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 study proposes a new method for detecting insider trading. The method combines principal component analysis (PCA) with random forest (RF) algorithms. The results show that this method is highly accurate, achieving 96.43% accuracy in classifying transactions as lawful or unlawful. The method also identifies important features, such as ownership and governance, that contribute to insider trading. This approach can help regulators identify and prevent insider trading more effectively.

“… the report underscores the critical role of emerging governance, risk, and compliance frameworks in ensuring organizations remain adaptive and resilient in the face of ever-evolving cyber threats. In an era where digital risks are continuously evolving...”

This study investigates the #riskmitigation and #internalcontrols organizations implement in their Robotic Process Automation (#rpa) deployments in #accounting. RPA #governance models range from being fully centralized to being entirely decentralized. RPA #risk and #control oversight includes unique #riskassessments for the RPA accounting environment.

The article presents three key arguments on #risktaking in #corporategovernance. Firstly, it asserts that #riskmanagers shouldn't be automatically blamed for corporate failures arising from statistically justified risk-based decisions. It suggests a "statistics-based governance" rule to protect managers within legal limits. Secondly, it argues for the inclusion of statistical methodologies to offset #cognitivebias in assessing prudent corporate #governance. Lastly, it contends that while expected-value analysis guides most decisions, for those with potential societal harm, public interests should also be considered.

On July 26, 2023, the #sec adopted final rules requiring disclosure of material #cybersecurity incidents on Form 8-K and periodic disclosure of a registrant’s cybersecurity #riskmanagement, strategy, and #governance in #annualreports.

The paper explores the potential inclusion of #climatechange #risks in the #prudential #regulatoryframework, specifically discussing adjustments to #capitalrequirements and changes to the #riskmanagement and #governance framework. The paper argues in favor of the latter but is more cautious regarding the former.

"#processmining has become a standard in many companies as part of #processcontrol in various areas. Previous papers for specific areas have discussed its use to ensure good #governance. This paper proposes generic use cases of process mining in the context of #assurance activities in the three-lines-of-defense model and validates with real corporate data from a multinational company."

This paper examines the use of #machinelearning methods in the context of #banks' #capitalrequirements, specifically the internal Ratings Based (#irb) approach. The authors discuss the advantages and risks of using machine learning in this domain, and provide recommendations related to #risk parameter estimations, #regulatory capital, the trade-off between performance and interpretability, international #banking competition, and #governance, #operationalrisk, and training.