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  • A Better Random Number Generator
    A Better Random Number Generator With the adoption of the C-3 Phase 2 Project of the American Academy of Actuaries, it is now required that stochastic scenarios be developed for establishing ...

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    • Authors: Christopher Davis
    • Date: Jun 2006
    • Competency: External Forces & Industry Knowledge
    • Publication Name: Small Talk
    • Topics: Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
  • June Webinar Topic: Sensitivity Testing and Setting Margins, Plus a Fully Stochastic PBR Method
    June Webinar Topic: Sensitivity Testing and Setting Margins, Plus a Fully Stochastic PBR Method Describes using the new multi-risk scenario generator to create sensitivity tests at moderately ...

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    • Authors: Mark Birdsall
    • Date: Sep 2017
    • Competency: Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Small Talk
    • Topics: Life Insurance>Reserves - Life Insurance; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
  • Risk Evaluation in the Final Stages of the Pandemic
    Risk Evaluation in the Final Stages of the Pandemic The direct and indirect effects of the pandemic have impacted many actuaries’ work since the spring of 2020. This article addresses three ...

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    • Authors: David Brentlinger
    • Date: Jul 2022
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: Small Talk
    • Topics: Enterprise Risk Management>Capital management - ERM; Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models; Modeling & Statistical Methods>Value at risk - Modeling & Statistical Methods