1 - 2 of 2 results (0.5 seconds)
Sort By:
  • The Modeling Platform
    By Trevor Howes 9 Model Eff iciency in the U.S. Life Insurance Industry By Tony Dardis 17 A ... MODELING PLATFORM | 9 Model Eff iciency in the U.S. Life Insurance Industry By Tony Dardis In a life ...

    View Description

    • Authors: Society of Actuaries
    • Date: Apr 2016
    • Competency: Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Modeling Platform
    • Topics: Actuarial Profession>Best practices; Actuarial Profession>Competencies; Enterprise Risk Management>Governance; Enterprise Risk Management>Operational risks; Life Insurance>Policyholder behavior - Life Insurance; Life Insurance>Universal life; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models; Technology & Applications>Software
  • June Webinar Topic: Sensitivity Testing and Setting Margins, Plus a Fully Stochastic PBR Method
    experience assumption, normally in the form of a table of decrement rates 2. Experience study data for ... ratio between the observed experience and the table from number 1 3. When experience study data are ...

    View Description

    • 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