Announcement: SOA congratulates the new ASAs and CERAs for May 2024.

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  • Global Variable Annuity Relected in New Zealand Product Design
    withdrawal benefits. The product design is mindful of the lessons from the financial crisis in the United States ... annuities;Individual life plans;Investment policy;Investment risk;Liability valuation;Life and annuity expenses;Investment ...

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    • Authors: Murray Alan Hilder, Ralph Stewart
    • Date: Jan 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>Incorporate risk management; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: International News
    • Topics: Annuities>Capital - Annuities; Annuities>Guaranteed living benefits; Annuities>Individual annuities; Annuities>Investment strategy - Annuities; Annuities>Marketing and distribution - Annuities; Annuities>Policyholder behavior - Annuities; Annuities>Pricing - Annuities; Annuities>Reserves - Annuities; Annuities>Product development - Annuities; Annuities>Variable annuities; Finance & Investments>Asset allocation; Finance & Investments>Asset liability management; Finance & Investments>Derivatives; Finance & Investments>Investment policy; Finance & Investments>Investments
  • A Stochastic Definition of Future Shares
    Definition of Future Shares This is the abstract of the paper 'A Stochastic Definition of Future Shares' ... Shares'. The traditional definition of actuarial future values and stochastic definition of Ramsay are ...

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    • Authors: José Garrido
    • Date: Jan 2000
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Derivatives; Finance & Investments>Investments; Modeling & Statistical Methods>Stochastic models