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The Future of Pension Plan Funding and Disclosure Monograph: Improving Pension Funding - What's in It for Me?
The Future of Pension Plan Funding and Disclosure Monograph: Improving Pension Funding - What's in ... This paper examines the funding expectations of the three primary stakeholders in the pension system: plan ...- Authors: Application Administrator, Elizabeth Moore
- Date: Jul 2005
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Pensions & Retirement>Pension finance; Pensions & Retirement>Funding
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Cumulative Antiselection Theory
in 1982 in the Transactions of Society of Actuaries, Vol. 34, discusses the phenomenon of durational ... loss ratios on mature blocks of individual health insurance policies. The author, William F. Bluhm, constructs ...- Authors: Application Administrator, Charles Habeck, Francis T O'Grady, Claude Y Paquin
- Date: Oct 1982
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Health & Disability>Health insurance
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A Towers Perrin Proposal for Pension Funding Reform: Part II
A Towers Perrin Proposal for Pension Funding Reform: Part II A Towers Perrin proposal for pension funding ... reform;Pension liabilities=Pension obligations;Pension plan costs; 7685 6/1/2005 12:00:00 AM ...- Authors: Application Administrator
- Date: Jun 2005
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Pensions & Retirement>Funding
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A Practical Concept of Tail Correlation
A Practical Concept of Tail Correlation This paper shows how the results of copula based capital aggregation ... approximated by relatively simple formulas. The paper defines the concepts of diversification factor and tail correlation ...- Authors: Application Administrator
- Date: May 2009
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Finance & Investments>Economic capital; Finance & Investments>Value at risk - Finance & Investments; Modeling & Statistical Methods>Stochastic models