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  • DxCG Comments on A Comparative Analysis of Claims-Based Tools for Health Risk Assessment
    DxCG Comments on A Comparative Analysis of Claims-Based Tools for Health Risk Assessment The comments of DxCG about their participation in the SOA study A Comparative Analysis of Claims-Based ...

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    • Authors: Society of Actuaries
    • Date: May 2007
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; External Forces & Industry Knowledge>External forces and business performance
    • Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency
  • Apprentissage profond en gestion des risques : Une introduction en douceur
    Apprentissage profond en gestion des risques : Une introduction en douceur The article provides a high-level, non-technical, introduction to artificial neural networks (ANNs) and deep learning ...

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    • Authors: Damon Levine
    • Date: Sep 2022
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Risk Management
    • Topics: Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Forecasting
  • 1979 Research Conference
    1979 Research Conference Article 1979 Research Conference by Klugman in The Actuary, December 1979, Volume 13, Number 10 Modeling efficiency;Mortality modeling;Risk modeling;Statistical methods; ...

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    • Authors: Stuart Klugman
    • Date: Dec 1979
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: The Actuary Magazine
    • Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Modeling efficiency
  • Modeler Q&A with David Yu
    Modeler Q&A with David Yu Modeling experience sharing by David Yu who leads the retirement product and asset model development team within Prudential Financial Modeling ...

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    • Authors: Hoi Kwan, Donghai Yu
    • Date: Nov 2018
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Modeling Platform
    • Topics: Annuities>Group plans - Annuities; Finance & Investments>Asset liability management; Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
  • Understanding Autoregressive Model for Time Series
    Understanding Autoregressive Model for Time Series In this article, we are going to discuss the AR model by making connections to time-dependent ordinary differential equations. Time series; ...

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    • Authors: Dihui Lai, Bingfeng Lu
    • Date: Jun 2017
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Predictive Analytics and Futurism Newsletter
    • Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Predictive Analytics
  • PBR Simplified Methods Project
    PBR Simplified Methods Project Summary of the SOA research project on PBR Simplified Methods. Describes the multi-risk scenario generator, central estimate assumptions, assumption objectivity ...

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    • Authors: Mark Birdsall
    • Date: Apr 2019
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Publication Name: The Financial Reporter
    • Topics: Life Insurance>Reserves - Life Insurance; Life Insurance>Secondary guarantees; Life Insurance>Term life; Life Insurance>Universal life; Life Insurance>Whole life; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
  • Principles of Capital Market Modeling
    Principles of Capital Market Modeling Discussion of Capital Market Modeling techniques Asset modeling;Capital markets=Stock market;Deterministic models;Discount rates=Interest rates;Dynamic ...

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    • Authors: Andres Vilms
    • Date: Sep 2003
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Financial Reporter
    • Topics: Enterprise Risk Management>Capital markets; Enterprise Risk Management>Portfolio management - ERM; Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Stochastic models
  • RBC C3 Phase II: Easier Said Than Done
    RBC C3 Phase II: Easier Said Than Done Results of an industry survey on life insurance companies' efforts to implement the recently adopted Life Risk-Based Capital Phase II Instructions, ...

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    • Authors: Patricia Matson, Don Wilson
    • Date: Mar 2006
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Financial Reporter
    • Topics: Actuarial Profession>Best practices; Annuities>Reserves - Annuities; Financial Reporting & Accounting>Statutory accounting; Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
  • Corporate Models and Assumptions
    Corporate Models and Assumptions This panel discussion considers some of the approaches, techniques and problems in the development of corporate models and assumptions. The pros and cons of ...

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    • Authors: Allan Affleck, Robert A Lyle, Kihong Sung
    • Date: Mar 1977
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Stochastic models