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  • Generating Stochastic Interest Rate Scenarios
    Generating Stochastic Interest Rate Scenarios This session from the 1995 SOA Boston Meeting covers a general overview of basic interest rate models, the meaning of an arbitrage free model, the ...

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    • Authors: David N Becker, Michael F Davlin, Gordon E Klein, Mark S Tenney, Craig Merrill
    • Date: Oct 1995
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Modeling & Statistical Methods>Stochastic models
  • Stochastic Model: A Telescope or Kaleidoscope?
    Stochastic Model: A Telescope or Kaleidoscope? The author notes “a telescope and a kaleidoscope both provide a view but that is where the similarities end. A telescope shows us an actual view ...

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    • Authors: Vivek Gupta
    • Date: Feb 2004
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Risks & Rewards
    • Topics: Global Perspectives>Global markets; Modeling & Statistical Methods>Stochastic models
  • On a Class of Discrete Time Renewal Risk Models
    On a Class of Discrete Time Renewal Risk Models We consider a class of compound renewal risk process with claim waiting times have a discrete Km distribution. The classical compound binomial risk ...

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    • Authors: Shuanming Li
    • Date: Sep 2008
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • Regulatory Update
    Regulatory Update Summary of NAIC's Winter National Meeting Appointed Actuary;Standard Valuation Law;Statutory accounting;Statutory codification;Statutory reserves 6442475468 3/1/2017 ...

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    • Authors: Karen Rudolph
    • Date: Mar 2017
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Strategic Insight and Integration>Strategy development; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Publication Name: In The Public Interest
    • Topics: Life Insurance>Reserves - Life Insurance; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
  • 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
  • A New Risk Metric for Defined Benefit Pension Plans
    A New Risk Metric for Defined Benefit Pension Plans In order for actuaries to play a valuable role in the realm of enterprise risk management ERM, they must provide value-added advice and ...

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    • Authors: Thomas D Bergan, David Fishbaum
    • Date: Oct 2006
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: Actuarial Practice Forum
    • Topics: Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Dynamic simulation models; Modeling & Statistical Methods>Stochastic models; Pensions & Retirement>Defined benefit plans; Pensions & Retirement>Pension investments & asset liability management; Pensions & Retirement>Risk management
  • A framework for ESG validation
    A framework for ESG validation This article describes the key elements of a review of an economic scenario generator (ESG), including scoping, parameters, models, and model efficiency. Stochastic ...

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    • Authors: Bruce Rosner
    • Date: Apr 2016
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Modeling Platform
    • Topics: Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
  • Asymptotics In The Subexponential Case
    Asymptotics In The Subexponential Case This is a summary of the presentation given during the ARC Conference. Its purpose was to give a brief introduction to subexponential behavior and to show ...

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    • Authors: DIEGO HERNANDEZRANGEL
    • Date: Jan 2000
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • The next step forward: Can one actuarial system do it all?
    The next step forward: Can one actuarial system do it all? The next evolution of actuarial systems in the U.S. will likely be a move toward a single system solution. This article defines a single ...

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    • Authors: Corey A Carriker, Jason Morton, Ryan Kiefer
    • Date: Dec 2015
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Modeling Platform
    • Topics: Actuarial Profession>Best practices; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models
  • Drawing Appropriate Statistical Inferences
    Drawing Appropriate Statistical Inferences 2003 Valuation Actuary Symposium, San Diego, CA. In this Teaching Session the instructor discussed the importance of making sure the correct ...

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    • Authors: Douglas Robbins
    • Date: Sep 2003
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Stochastic models