Description: This paper proposes a mandatory universal pension system MUPS which would be a system of fully portable IRA accounts piggy-backed on to existing Social Security withholding.

Description: The impact of benefit design on the cost of Aggregate Stop-Loss Coverage. Issue No. 42.

Description: Hear from the editor’s on the March 2017 issue of Risk Management published by the JRMS.

Description: Part 2 proposes solutions to the second of three flaws of the current financial model to obtaining the fair value of the public sector employer’s pension benefit liability.

Description: Hear from the editor on the March 2018 issue of Risk Management published by the JRMS.

Description: This paper explores how an intragenerational funding approach might spread the risks from those older persons who live longer to those who do not live so long and from those who are healthier or less dependent to those who are less healthy or more dependent.

Description: Hear from the editor’s on the December 2018 issue of Risk Management published by the JRMS.

Description: Hear from the editor’s on the August 2016 issue of Risk Management published by the JRMS.

Description: Hear from the editor’s on the August 2016 issue of Risk Management published by the JRMS.

Description: Exploration of sources of volatility in retiree health valuations, noting how volatility arises and might be mitigated, with discussion of valuation parameters more problematic for retiree health benefits than for pensions. Three significant influences on retiree health valuation volatility are covered-- changes in benefit level, fluctuations in cost level, and alterations in eligibility for, or duration of, benefit – and attention focused on the last two. Specific conclusions result in recommendations, which are supported by practical examples contrasting volatile measurement results with those likely from the recommended practices. Theoretical discussion includes health claim variation, health trend usage, financial economics, option pricing, discount rates, and deterministic vs. stochastic modeling.