Announcement: SOA releases passing candidate numbers for April 2024 Exam PA.

1 - 2 of 2 results (0.52 seconds)
Sort By:
  • PBR Simplified Methods Project
    all material assumptions; 2. objectivity measure(s) for material best esti- mate assumptions; 3. an actuarial ... a range from zero to one, such as lapse and mortality. The resulting distribution covers both estimation ...

    View Description

    • Authors: Mark Birdsall
    • Date: Apr 2019
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: The Financial Reporter
    • Topics: Life Insurance>Reserves - Life Insurance; Life Insurance>Secondary guarantees; Life Insurance>Term life; Life Insurance>Universal life; Life Insurance>Whole life; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
  • Actuarial Model Component Design
    Actuarial Model Component Design The article describes the key components of actuarial ... Component Design By William Cember and Jeffrey Yoon A s managers of risk, most actuaries are tasked with answer-ing ...

    View Description

    • Authors: Bill Cember, Jeffrey Yoon
    • Date: Nov 2017
    • Competency: Results-Oriented Solutions>Actionable recommendations; 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: Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models