Nos derniers articles

" 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. "

"This paper analyzes how governments support insurance markets to maintain insurability and limit risks to society. We propose a new conceptual framework grouping government interventions into three dimensions: regulation of risky activity, public investment in risk reduction, and co-insurance."

"Our paper contributes to the theory of conditional risk measures and conditional certainty equivalents. We adopt a random modular approach which proved to be effective in the study of modular convex analysis and conditional risk measures."

"... I consider the effectiveness of the Compliance role within the organisational structure and how far the demarcation of the function and its assigned duties are achieving an enterprise-wide culture of good governance and compliance. I posit that, although the delineation of clear responsibilities is important, the benefits of ostensible independence brought about by the departmentalisation of compliance may not be the definite answer to the complex, if not esoteric, challenges faced by organisations in matters of compliance."

"We believe our paper adds to the important body of cybersecurity literature that explores the roles of government and business, particularly corporate directors, in the governance of data security."

"When developing large-sample statistical inference for quantiles, also known as Values-at-Risk in finance and insurance, the usual approach is to convert the task into sums of random variables. The conversion procedure requires that the underlying cumulative distribution function (cdf) would have a probability density function (pdf), plus some minor additional assumptions on the pdf. In view of this, and in conjunction with the classical continuous-mapping theorem, researchers also tend to impose the same pdf-based assumptions when investigating (functionals of) integrals of the quantiles, which are natural ingredients of many risk measures in finance and insurance. Interestingly, the pdf-based assumptions are not needed when working with integrals of quantiles, and in this paper we explain and illustrate this remarkable phenomenon."

"... supply chain network features add significant detection power to predicting enterprise cyber risk, relative to merely using enterprise-only attributes. Particularly, compared to a base model that relies only on internal enterprise features... Given that each cyber data breach is a low probability high impact risk event, these improvements in the prediction power have significant value."