178 résultats
pour « riskmanagement »
"... an overview of how machine learning can help in categorizing textual descriptions of operational loss events into Basel II event types. We apply PYTHON implementations of support vector machine and multinomial naive Bayes algorithms to precategorized Öffentliche Schadenfälle OpRisk (ÖffSchOR) data to demonstrate that operational loss events can be automatically assigned to one of the seven Basel II event types with very few costs and satisfactory accuracy."
"... the information provided by past losses results from them capturing hard to quantify factors such as the quality of operational risk controls, the risk culture, and the risk appetite of the bank."
"The EU, France, and Germany, among other jurisdictions, have recently adopted laws requiring large businesses to conduct human rights due diligence (HRDD) in their supply chains."
"An employee may be attacked by a potentially sophisticated adversary whose goal is to steal all their data. Therefore, the firm trades off the efficiency benefit of the more permissive data access architecture with the adversarial risk it incurs. We characterize the firm's optimal data access architecture and investigate how it depends both on the adversarial environment and the firm's technology."
"... our findings provide new evidence regarding U.S. banking organizations' exposure to climate risks with implications for risk management practices and supervisory policy."
"We here propose a novel XAI [eXplainable AI] technique for deep learning methods (DL) which preserves and exploits the natural time ordering of the data. Simple applications to financial data illustrate the potential of the new approach in the context of risk-management and fraud-detection."
" In this paper, we use stochastic algorithms schemes in estimating MSRM [market data based systemic risk measure] and prove that the resulting estimators are consistent and asymptotically normal. We also test numerically the performance of these algorithms on several examples."
"This paper explores the notion of ‘cyber risk’, asking how we might understand it through a sociotechnical lens. It pays specific attention to how we can theorise cyber risk as an assemblage of sociotechnical ‘riskscapes’, in which our understanding of risk goes beyond organisational imperatives of ‘risk management’ and into treating cyber risk as a set of productive knowledges and practices within a political economy of uncertainty."
"… this article introduces decision models and shows that the optimal title insurance evolves as market and property-specific conditions change. "
"Despite that some attention or self-attention based models with time-aware or feature-aware enhanced strategies have achieved better performance compared with other temporal modeling methods, such improvement is limited due to a lack of guidance from global view. To address this issue, we propose a novel end-to-end Hierarchical Global View-guided (HGV) sequence representation learning framework. "