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  • Design a Stochastic Valuation/Forecast System
    Valuation/Forecast System Panelists at this session of the SOA 1998 Maui II Spring Meeting present methods ... assets;Pension valuation;Risk measurement;Scenario generation=Scenario generators=Economic scenario generators;Stochastic ...

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    • Authors: Richard Wendt, Chris K Madsen, John M Mulvey
    • Date: Jun 1998
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Modeling & Statistical Methods>Stochastic models; Pensions & Retirement>Pension investments & asset liability management
  • How to Make Guarantees on VAs Worth More than the Paper They're Written On
    More than the Paper They're Written On From a session at the Spring meeting of the Society of Actuaries ... Variable annuities with guaranteed benefits and the effect that hedging/capital management strategies ...

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    • Authors: Ari Lindner, Jason Kehrberg
    • Date: Jun 2004
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Record of the Society of Actuaries
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • Economic Scenario Generators
    Economic Scenario Generators This presentation is a panel discussion, session number 9PD, from the 2000 ... asset/liability modeling is the underlying economic scenario generator. In this session the panelists discuss ...

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    • Authors: Stephen Sonlin, Mark S Tenney, Marc Altschull, Stephen Britt
    • Date: Sep 2000
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
    • Topics: Finance & Investments>Asset liability management; Global Perspectives; Modeling & Statistical Methods>Stochastic models
  • Stochastic Embedded Value and Its Use in Risk Measurement and Financial Management: Part 2
    Stochastic Embedded Value and Its Use in Risk Measurement and Financial Management: Part 2 Presented at ... discuss the use of stochastic embedded value 'EV' in financial management and risk measurement, including ...

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    • Authors: Hubert B Mueller, Michael Hughes, Maria Mercedes Torres-Jorda, Penny Coulthard
    • Date: May 2005
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Finance & Investments>Embedded value; Modeling & Statistical Methods>Stochastic models
  • Measuring Uncertainty in Loss Reserves
    session the panel consider the question of uncertainty in loss reserves including discussion of sources ... sources and measurement. The panelists analyzed the same data set from different perspectives and discussed ...

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    • Authors: Spencer M Gluck, Roger M Hayne, Thomas S Wright
    • Date: Apr 1994
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Health & Disability>Health insurance; Modeling & Statistical Methods>Regression analysis; Modeling & Statistical Methods>Stochastic models
  • The Distribution of Discounted Compound Renewal Sums
    The Distribution of Discounted Compound Renewal Sums This is a presentation from 43rd Actuarial Research ... present the moment generating function of the discounted compound Poisson aggregate sums when the deflated ...

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    • Authors: José Garrido, GHISLAIN LEVEILLE, Ya Fang Wang
    • Date: Nov 2008
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • An Integro-differential Equation for a Sparre Andersen Model with Investments
    Andersen Model with Investments Presentation from the 41st Actuarial Research Conference held in August ... Montreal. This presentation extends the traditional Sparre Anderson model of ruin theory, using an Erlang distribution ...

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    • Authors: CORINA DANA CONSTANTINESCU, Enrique Thomann
    • Date: Jan 2007
    • Competency: Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Topics: Modeling & Statistical Methods>Stochastic models
  • Capital and Hedge Modeling for Variable Annuities
    Modeling for Variable Annuities Panelists discuss economic capital, capital modeling, and hedge modeling ... benefits [GLBs] on variable annuities. Session 34PD of the 2005 Valuation Actuary Symposium. Guaranteed living ...

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    • Authors: Hubert B Mueller, Application Administrator, Ulrich Stengele
    • Date: Jan 2005
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Topics: Finance & Investments>Capital management - Finance & Investments; Finance & Investments>Economic capital; Modeling & Statistical Methods>Stochastic models
  • Stochastic Modeling in the Financial Reporting World
    Stochastic Modeling in the Financial Reporting World This session of the SOA 2003 Washington, DC Spring ... Spring Meeting covers the basics of stochastic modeling with focus on random number and scenario generation ...

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    • Authors: Robert W Wilson, Ronald Harasym
    • Date: May 2003
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Modeling & Statistical Methods>Stochastic models
  • State-of-the-Art Risk Management System and Application
    State-of-the-Art Risk Management System and Application This session from the 1995 SOA Boston Meeting ... example of option adjusted spread analysis for a single premium deferred annuity SPDA. From the Record ...

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    • Authors: Brian Trust, Douglas A George
    • Date: Oct 1995
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Record of the Society of Actuaries
    • Topics: Enterprise Risk Management; Modeling & Statistical Methods>Stochastic models