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VM-20 Scenarios - An Observation
31 34 28 60 34 31 29 27 26 25 24 70 29 20 22 19 20 17 18 80 22 15 16 16 16 12 13 90 18 11 13 13 12 9 9 ... 80 30 24 23 25 20 22 23 90 25 16 19 19 17 19 21 100 20 13 17 14 14 15 18 in years 15 and later. Thus ...- Authors: Timothy Cardinal
- Date: Dec 2016
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Publication Name: The Modeling Platform
- Topics: Financial Reporting & Accounting>Statutory accounting; Life Insurance>Reserves - Life Insurance; Life Insurance>Secondary guarantees; Modeling & Statistical Methods>Scenario generation
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Regulatory Update
Regulatory Update Summary of NAIC's Winter National Meeting Appointed Actuary;Standard Valuation ... 2017 CSO, and is characterized as approximately 17 percent. The tables are male/female/unisex, with ...- Authors: Karen Rudolph
- Date: Mar 2017
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Strategic Insight and Integration>Strategy development; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: In The Public Interest
- Topics: Life Insurance>Reserves - Life Insurance; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
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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 ... original purposes. SEPTEMBER 2017 SMALL TALK | 17 considered to be approximately the same level of ...- 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