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  • Predictive modeling
    Predictive modeling Summary of SOA research report "Optimizing Risk Retention" which applies parametric survival models and Monte Carlo simulation to a block of term life ...

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    • Authors: Kai Kaufhold
    • Date: Nov 2016
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Reinsurance News
    • Topics: Life Insurance>Reserves - Life Insurance; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models; Reinsurance>Life reinsurance
  • Long-Term Disability Buyouts
    Long-Term Disability Buyouts Panel session exploring a variety of issues connected to long-term disability reserve buyouts, including: · Advantages and risks for buyers and sellers · ...

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    • Authors: Michael Gabon, Stephen Mitchell, Daniel D Skwire
    • Date: Oct 2000
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Professional Values>Practice expertise; Strategic Insight and Integration>Effective decision-making
    • Publication Name: Record of the Society of Actuaries
    • Topics: Economics>Health economics; Health & Disability>Disability insurance; Modeling & Statistical Methods>Stochastic models; Reinsurance>Reserving - Reinsurance
  • Developing A Stochastic Mortality Framework To Support The Reinsurance Market
    Developing A Stochastic Mortality Framework To Support The Reinsurance Market This article looks at stochastic techniques actuaries can use to quantify the non-market risks in insurance products ...

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    • Authors: Matthew P Clark, Chad R Runchey
    • Date: Feb 2008
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Reinsurance News
    • Topics: Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models; Reinsurance; Reinsurance>Stop-loss insurance
  • The Actuary’s Use of Catastrophe Models in ORSA
    The Actuary’s Use of Catastrophe Models in ORSA Some of the uncertainties related to catastrophe models are explored, leading to the suggestion that the actuary is well suited to understand and ...

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    • Authors: S Anders Ericson, Kay A Cleary
    • Date: May 2012
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management
    • Topics: Actuarial Profession>Competencies; Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Stochastic models; Reinsurance>Catastrophe reinsurance
  • An Introduction to Collective Risk Theory and its Application to Stop-Loss Reinsurance
    An Introduction to Collective Risk Theory and its Application to Stop-Loss Reinsurance This paper presents an introduction to collective risk theory. In collective risk theory one seeks to ...

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    • Authors: Ernest A Arvanitis, Russell M Collins, Paul H Jackson, Robert C Tookey, Paul Markham Kahn, Herbert L Feay
    • Date: Oct 1962
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Transactions of the SOA
    • Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Stochastic models; Reinsurance>Stop-loss insurance
  • Optimal Retention Levels in Dynamic Reinsurance Markets
    Optimal Retention Levels in Dynamic Reinsurance Markets This paper analyzes the optimal retention level with a portfolio of insurance risks, and premiums invested in risk-free and risky assets.

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    • Authors: Enrico Biffis
    • Date: Jan 2007
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Topics: Modeling & Statistical Methods>Stochastic models; Reinsurance>Coinsurance