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Using Relevant Experience Data to Increase Credibility and Reduce Margins
Using Relevant Experience Data to Increase Credibility and Reduce Margins Describes a process for identifying relevant industry experience to credibility-weight with relevant company experience ...- Authors: Mark Birdsall, Marianne C Purushotham
- Date: Sep 2017
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Small Talk
- Topics: Actuarial Profession>Best practices; Enterprise Risk Management>Risk measurement - ERM; Experience Studies & Data>Mortality; Life Insurance>Pricing - Life Insurance; Life Insurance>Reserves - Life Insurance
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2013 Group Term Life Pivot Table – AD&D
2013 Group Term Life Pivot Table – AD&D This workbook has been developed by the SOA's Group Life Experience Study Committee to assist companies wishing to perform their own analysis ...- Authors: Group Life Insurance Experience Committee
- Date: Jun 2013
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Experience Studies & Data>Mortality
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The M-Linear Hypothesis and Varying Insurance
The M-Linear Hypothesis and Varying Insurance Because mortality tables are generally tabulated at yearly intervals actuaries frequently must make assumptions about intermediate values in ...- Authors: John A Mereu
- Date: Jan 1984
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Experience Studies & Data>Mortality
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Longevity Risk and Reinsurance
Longevity Risk and Reinsurance This article talks about longevity risk and reinsurance and its global challenges. Annuity reinsurance;Life reinsurance;Longevity risk;Mortality risk;Pension ...- Authors: Gavin Jones
- Date: Jul 2013
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Incorporate risk management
- Publication Name: Reinsurance News
- Topics: Demography>Mortality - Demography; Demography>Gender factors; Demography>Longevity; Demography>Population data; Experience Studies & Data>Mortality
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Summary of Non-Routine Business by Board and Executive Committee, Four Months to Feb 29
Summary of Non-Routine Business by Board and Executive Committee, Four Months to Feb 29 Summary of the non-routine business transacted at meetings of the Executive Committee of the Society of ...- Authors: Myles Gray
- Date: Apr 1980
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Actuary Magazine
- Topics: Actuarial Profession>Professional associations; Actuarial Profession>Standards of practice; Experience Studies & Data>Mortality
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2013 Group Term Life Pivot Table – Self-Administered
2013 Group Term Life Pivot Table – Self-Administered This workbook has been developed by the SOA's Group Life Experience Study Committee to assist companies wishing to perform their own ...- Authors: Group Life Insurance Experience Committee
- Date: Jun 2013
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Experience Studies & Data>Mortality
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Demography for Actuarial Students
Demography for Actuarial Students Demography is a very exciting subject. With a simple mathematical model, students can project a country's population forward 25, 59, 75 even 100 years.- Authors: John A Beekman
- Date: Jan 1984
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Actuarial Research Clearing House
- Topics: Demography>Population data; Experience Studies & Data>Mortality; Modeling & Statistical Methods>Markov Chain
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U.S. Public Pension Plan Mortality Compared to Pub-2010
U.S. Public Pension Plan Mortality Compared to Pub-2010 A comparison of recently used mortality assumptions among state-based and large-city public pension plans to the Pub-2010 Mortality Tables.- Authors: Society of Actuaries
- Date: Aug 2018
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Experience Studies & Data>Mortality; Pensions & Retirement>Assumptions and methods; Pensions & Retirement>Public sector plans
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Is Now the Time for Reinsurers to Enter LTCi?
Is Now the Time for Reinsurers to Enter LTCi? A recent Society of Actuaries study calculates safety and stability for current Long Term Care Insurance premiums. Long-term care ...- Authors: Marc Glickman
- Date: Mar 2016
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>Actuarial theory in business context; Results-Oriented Solutions>Actionable recommendations; Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Reinsurance News
- Topics: Experience Studies & Data>Long-term care - Experience Studies & Data; Experience Studies & Data>Morbidity; Experience Studies & Data>Mortality; Long-term Care>Long-term care insurance; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Simulation; Reinsurance>Pricing - Reinsurance
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Whats going on here anyway?
Whats going on here anyway? A Discussion of why female mortality is higher than male mortality at higher ages. Actual-to-expected=A/E=Actual to expected;Claim experience;Contingencies;Death ...- Authors: John M Bragg
- Date: May 2016
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Pension Section News
- Topics: Actuarial Profession>Professional development; Demography>Gender factors; Demography>Longevity; Experience Studies & Data>Disability; Experience Studies & Data>Long-term care - Experience Studies & Data; Experience Studies & Data>Morbidity; Experience Studies & Data>Mortality; Health & Disability>Disability insurance; Health & Disability>Health care; Health & Disability>Health information technology; Health & Disability>Health insurance; Pensions & Retirement>Plan design