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  • Financial Reinsurance: Tool for the 21st Century
    presentation is a panel discussion, session 92PD, from the 2000 Annual Meeting of the Society of Actuaries, held ... role financial reinsurance can play in today's competitive environment. They define financial reinsurance ...

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    • Authors: Timothy J Tongson, David Addison, Lawrence Carson, Richard Leblanc
    • Date: Oct 2000
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Record of the Society of Actuaries
    • Topics: Reinsurance>Financial reinsurance
  • Weather Derivatives and Short-Period Rainfall Indices
    Weather Derivatives and ... 8 15 22 29 Day of Month T e m p e r a t u r e ( d e g . C ) Daily Rainfall Accumulations ... 22 29 Day of Month D a i l y A c c u m u l a t i o n ( m m ) Hourly Temperatures ...

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    • Authors: Barry John Turner
    • Date: Jan 2007
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Finance & Investments>Derivatives; Modeling & Statistical Methods>Stochastic models
  • Accelerated Benefits
    PHILIPA. VELAZQUEZ Panelists: DONNA R. CLAIRE ABRAHAM S. GOO'I'ZEIT LAWRENCE C, PATZ Recorder: PHILIPA. VELAZQUEZ ... these benefits. 643 PANEL DISCUSSION MR. ABRAHAM S. GOOTZEIT: I would like to talk about three topics ...

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    • Authors: Abraham Gootzeit, Donna Claire, Lawrence C Patz, Philip Velazquez
    • Date: May 1991
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Record of the Society of Actuaries
    • Topics: Life Insurance
  • Bayesian Inference Resistant to Outliers, Using Super Heavy-tailed Distributions, for the Calculation of Premiums
    1 σ fi ( xi σ ) = 1 sxi N ( log xi − log σ s ) , where N(·) is the density of a N(0,1) Speaker: ... 1 σ fi ( xi σ ) = 1 sxi N ( log xi − log σ s ) , where N(·) is the density of a N(0,1) Speaker: ...

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    • Authors: Alain Desgagne, JEAN-FRANCOIS ANGERS
    • Date: Jan 2007
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Technical Skills & Analytical Problem Solving>Innovative solutions
    • Topics: Modeling & Statistical Methods>Bayesian methods