157 résultats pour « riskmanagement »

Repositioning the Compliance Function in the New Governance Era

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"... 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."

Difference between integrated quantiles and integrated cumulative distribution functions.

"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 Characteristics as Predictors of Cyber Risk: A Machine‑Learning Assessment

"... 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."

A parametric approach to the estimation of convex risk functionals based on Wasserstein distance

" The aim is to come up with a convex risk functional that incorporates a sefety margin with respect to nonparametric uncertainty and still can be approximated through parametrized models. The particular form of the parametrization allows us to develop a numerical method, based on neural networks, which gives both the value of the risk functional and the optimal perturbation of the reference measure."

Multivariate Optimized Certainty Equivalent Risk Measures and their Numerical Computation

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"We present a framework for constructing multivariate risk measures that is inspired from univariate Optimized Certainty Equivalent (OCE) risk measures. We show that this new class of risk measures verifies the desirable properties such as convexity, monotonocity and cash invariance. We also address numerical aspects of their computations using stochastic algorithms instead of using Monte Carlo or Fourier methods that do not provide any error of the estimation."

Mapping the Literature of Internal Auditing in Europe

" The study focused on evaluating and analysing the characteristics of literature and the themes investigated with a focus on four key aspects: governance, the effectiveness of IA, the relationship between internal auditors and other parties, and risk management to provide directions for future research."

Multivariate Poisson Model Adjusting for Unidirectional Covariate Misrepresentation

"Insurance fraud has been a long-lasting issue in actuarial modeling. Policyholders are prone to hide their true status in their best interest when disclosing their information for insurance pricing purposes. However, from the insurers' point of view, it is either time-consuming or laborious to verify the true status of such risk factors. There is thus a strong incentive to build models accounting for potential misrepresentation, which contributes to a more robust ratemaking system."