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131. Machine Learning in Risk Management

This Expert input works as an overview of the basis of most available machine learning techniques and serves as a great stepping stone to get into the intricate world of ML. Whilst mostly written…

132. The new definition of default – How is it going to affect you?

This Expert input delves into the new EBA definition of default that will apply as of January 2021. It examines who is going to be most impacted by the change and what is going to be the difference…

133. Non-Cleared Derivatives: Approaches towards initial Margin Calculation

This Expert input addresses the EMIR-related requirement of keeping a variation and initial margin; more specifically, the initial Margin is the main focus of the article. It lists the advantages of…

134. Drafting an AI Risk Management Policy – A Beginner’s Guide for (Re)Insurers

The European Parliament and Council have reached their agreement on the amendments to the Solvency II Directive. The revised Directive will be passed to the member states to be adopted.

135. An Update on SFT Regulation

The regulation of SFTs has been with us since late 2015. By far its most challenging part, however, the reporting has not yet come into play as many of its aspects had to be further specified by RTSs…

136. Reverse Stress Testing

This Expert input discusses reverse stress testing. A type of stress testing that does not ask what the results of certain pre-defined shocks are going to be, but rather, what shocks would have to…

137. A guide to Solvency II review

This expert article on the 2018 Solvency II review consists of a high level summary of the Solvency II review and a table providing a detailed overview of all changes brought about by this 2018…

138. Adjustment for the loss-absorbing capacity of deferred taxes

This blog post dives deeper into the topic of Adjustment for the loss-absorbing capacity of deferred taxes.

139. The Language War in Credit Risk Modelling: SAS, Python or R?

The three languages were compared using a simple setup, as close as possible to a real-life situation. The exercise consisted in calibrating a logistic regression to identify loans likely not to be…

140. Les assureurs vie français face à la conjoncture économique : analyse, opportunités et stratégies

Dans un contexte économique complexe, les assureurs vie français font face à des défis majeurs liés à la gestion des taux d'intérêt élevés. Finalyse offre des solutions innovantes pour optimiser…

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