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  • Ruin related quantities in a risk model based on time series for count data
    Ruin related quantities in a risk model based on time series for count data This abstract describes a paper that considers various specifications of the general discrete time risk model in which ...

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    • Authors: Etienne Marceau, HELENE COSSETTE, Florent Toureille, Veronique Maume-Deschamps
    • Date: Jul 2010
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Modeling & Statistical Methods>Forecasting
  • Corporate Modeling And Forecasting - Practical Aspects Of The Valuation Actuary Recommendations
    Corporate Modeling And Forecasting - Practical Aspects Of The Valuation Actuary Recommendations Presented at May 1986 Spring Meeting. This session discussion is about the purposes, tools and ...

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    • Authors: Michael C Batte, Joseph J Buff, Dennis Carr, Russell B Tucker, Stanley B Tulin
    • Date: May 1986
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Record of the Society of Actuaries
    • Topics: Finance & Investments>Asset liability management; Modeling & Statistical Methods>Forecasting
  • A Return Visit to the Sugarscape
    A Return Visit to the Sugarscape This article describes the use of artificial society modeling to gauge the effect of insurance agent population and effectiveness on individual life insurance ...

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    • Authors: Ben Wolzenski
    • Date: Dec 2013
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Predictive Analytics and Futurism Newsletter
    • Topics: Modeling & Statistical Methods>Forecasting
  • Underwriting Gain in Managed Medicaid: Starting the Conversation
    Underwriting Gain in Managed Medicaid: Starting the Conversation According to the Actuarial Standards Board’s Actuarial Standard of Practice No. 49 (ASOP 49), actuarially sound Medicaid managed ...

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    • Authors: Jaredd Martin Keith Simons, James Randolph Piekut
    • Date: Nov 2019
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: Health Watch
    • Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Simulation
  • Society of Actuaries Research Institute Receives National Science Foundation Grant to Implement Wildfire Research Applications
    Society of Actuaries Research Institute Receives National Science Foundation Grant to Implement Wildfire Research Applications The Society of Actuaries (SOA) Research Institute received a grant ...

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    • Date: Oct 2023
    • Competency: External Forces & Industry Knowledge; Strategic Insight and Integration
    • Topics: Actuarial Profession; Modeling & Statistical Methods; Modeling & Statistical Methods>Forecasting; Technology & Applications; Environment; Environment>Catastrophic event; Environment>Climate trends; Environment>Frequency / severity of extreme event; Technology & Applications>Artificial intelligence & machine learning
  • Actuarial Model Component Design
    Actuarial Model Component Design The article describes the key components of actuarial model, leading practices in designing them, and characteristics of well-built models. Asset modeling; ...

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    • Authors: Bill Cember, Jeffrey Yoon
    • Date: Nov 2017
    • Competency: Results-Oriented Solutions>Actionable recommendations; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Modeling Platform
    • Topics: Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
  • Oldest-Old Mortality Rates and the Gompertz Law: A Theoretical and Empirical Study Based on Four Countries
    Oldest-Old Mortality Rates and the Gompertz Law: A Theoretical and Empirical Study Based on Four Countries Presented at Living to 100 symposium, January 2002. This paper proposes a standard ...

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    • Authors: Ching-Syang Jack Yue
    • Date: Jan 2002
    • Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
    • Topics: Demography>Longevity; Global Perspectives; Modeling & Statistical Methods>Forecasting
  • Appendix D - Round 2 Reasons for Projections - Delphi Report
    Appendix D - Round 2 Reasons for Projections - Delphi Report Appendix D is round 2 - reasons for projections from the Delphi study. See SOA website Research section for the full report of the ...

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    • Authors: Society of Actuaries
    • Date: Oct 2005
    • Competency: External Forces & Industry Knowledge
    • Topics: Economics; Modeling & Statistical Methods>Forecasting
  • Investigating the Future: Lessons from the 'Scene of the Crime'
    Investigating the Future: Lessons from the 'Scene of the Crime' Specifies 6 rules which help shape not only good crime-scene analysis, but good futures practice, as well. These ...

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    • Authors: Application Administrator
    • Date: Jan 2012
    • Competency: Relationship Management>Team leadership; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Predictive Analytics and Futurism Newsletter
    • Topics: Modeling & Statistical Methods>Forecasting
  • From the Chairperson: Future = Unknown = Risk = Opportunity
    From the Chairperson: Future = Unknown = Risk = Opportunity A summary of the activities of the Forecasting & Futurism Section, including research initiatives, participation in Delphi studies ...

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    • Authors: Donald Krouse
    • Date: Jul 2012
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Predictive Analytics and Futurism Newsletter
    • Topics: Modeling & Statistical Methods>Forecasting