Nos derniers articles

The paper discusses the importance of #riskinformed #decisionmaking -and the use of #riskassessment to support decisions. It highlights the need for a more dynamic approach to #riskmanagement, which takes into account #uncertainty, changes in systems, phenomena, or values that could alter the underlying premises of the initial risk assessment.

This study examines the #riskallocation problem in distributed #insurance using #blockchaintechnology, considering different charging methods. Through #gametheory analysis, the research explores the #pareto optimal risk allocation method. The findings reveal that when charges occur during insurance signing, risk is proportionally distributed based on policyholders' #riskaversion coefficient. However, if the platform provider charges a fee proportional to the premium or actual risk, policyholders bear increased risk from others while their own risk is reduced, leading to decreased overall utility. These conclusions provide valuable insights for #blockchain insurance companies regarding user #riskmanagement and allocation.

We provide a #cyberrisk definition and classification scheme for #riskmanagement purposes, to be used as a data collection template for #financialinstitutions.

This paper introduces the application of Deep Reinforcement Learning (#drl) in #alm, addressing limitations of traditional methods reliant on human judgement. The findings highlight the potential of DRL to enhance #riskmanagement outcomes for #insurers, #banks, #pensionfunds, and #assetmanagers, providing improved adaptability to changing market conditions.

This paper introduces the concept of differential privacy (DP) as a novel technical tool that can quantifiably assess the identification #risks of #databases, thereby aiding in the classification of data. By allocating a privacy budget in advance, data controllers can establish auditable and reviewable boundaries between #personal, #anonymous, and #pseudonymous data, while integrating this framework into broader data #riskmanagement practices.

"This paper presents an intellectual exchange with #chatgpt, … , about correlation pitfalls in #riskmanagement. … Our findings indicate that ChatGPT possesses solid knowledge of basic and mostly non-technical aspects of the topic, but falls short in terms of the mathematical goring needed to avoid certain pitfalls or completely comprehend the underlying concepts."

"This paper introduces the multivariate range Value-at-Risk (MRVaR) and multivariate range covariance (MRCov) as #risk#measures for #riskmanagement in #regulation and investment… Frequently-used cases in industry, such as normal, student-t, logistic, Laplace, and Pearson type VII distributions, are presented with numerical examples."

#crisis #riskmanagement"The existing data show that #political #crises make #economiccrises crises more likely, so that, as suggested by the concept of #polycrisis, feedback between non-economic crises and economic crises can be important, but there is no comparable evidence for #climate events."

"We provide guidance on the types of applications for which consulting #chatgpt can be useful to enhance your knowledge about #quantitative #riskmanagement in #actuarial practice, and point out those for which ChatGPT should better not be invoked."

#riskmanagement#geopoliticalrisk"The frequency of economic and #financialcrises is not increasing, but #politicalcrises can make #economiccrises more likely. The paper suggests that feedback between non-economic and economic crises can be important, but there is no comparable evidence for #climaterisk."