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          Modélisation des taux d'intérêt et de l'inflation
          8, 10 et 13 nov. 2023 | Modélisation des taux d’intérêt et de l’inflation
          26/07/2023
          Happy Learning Hour by Detralytics

          Happy Learning Hours | Insurance Pricing : a walk through recent results on autocalibration

          We are happy to invite you to participate in our second Happy Learning Hours on ”Insurance Pricing”.

          What are the Happy Learning Hours ? It is a FREE after-work learning session given by our Team members and followed by a drink. You will be accredited of 2 CPD points.

          This session will take place on Thursday October 5, 2023, from 16:00 to 18:00 at The Lincoln Auditorium (Brussels Manhattan Center - 3d floor). It will be given in French (with support in English) by Michel Denuit and Julien Trufin (Scientific Advisors at Detralytics and renowned Professor of Actuarial Science).


          ABOUT THE SESSION

          By exploiting massive amounts of data, machine learning techniques provide actuaries with predictors exhibiting high correlation with claim frequencies and severities. However, these predictors generally fail to achieve financial equilibrium and thus do not qualify as pure premiums. Autocalibration effectively addresses this issue since it ensures that every group of policyholders paying the same premium is on average self-financing.

          During this walk, we propose to look at four recent results concerning autocalibration.
          1. First, we establish a new characterization of autocalibration, based on the graphs of Lorenz and Concentration curves. We exploit this result to propose an effective testing procedure for auto-calibration.
          2. Then, we study the effect of balance correction on resulting pure premiums. We show that this method is beneficial in terms of out-of-sample, or predictive Tweedie deviance, Bregman divergence as well as concentration curves.
          3. After that, we explore performances criteria in the class of autocalibrated predictors. We show that the Gini index and the elementary Pearson’s correlation are consistent scoring rules in the class of autocalibrated predictors.
          4. Finally, we explore Tweedie dominance to compare competing models. A necessary and sufficient condition is established under autocalibration.



          PRACTICAL INFORMATION

          Address : Brussels Manhattan Center (3d floor) : Av. du Boulevard 21 - 1210 Brussels
          Parking : Manhattan Parking – Indigo : Rue des Croisades, 19 – 1210 Saint-Josse-Ten-Noode (with direct access to the Manhattan Center)
          Metro : Rogier (with direct access to the Manhattan Center)
          Share

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