Announcement: SOA congratulates the new FSAs for June 2024.

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  • Development of a Simulation-based Model to Quantify the Degree of a Bank’s Liquidity Risk
    Development ... important to measure dynamic liquidity gaps. Liquidity gaps that are dynamic add the projected new ... accuracy of this model, it’s important to measure dynamic liquidity gaps.” 26 In conclusion ...

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    • Authors: Sadi Bin Asad Farooqui
    • Date: Mar 2011
    • Competency: External Forces & Industry Knowledge; Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Topics: Enterprise Risk Management; Global Perspectives; Modeling & Statistical Methods>Stochastic models; Public Policy
  • Critical Review of Stochastic Simulation Literature and Applications for Health Actuaries
    Critical Review of Stochastic Simulation Literature and Applications for Health Actuaries A study ... literature as it applies to a health actuary. Dynamic simulation models;Group health plans;Health care ...

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    • Authors: Louise H Anderson, Ian G Duncan, Katherine Hall, Brian C Martinson
    • Date: Sep 2007
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>External forces and business performance
    • Topics: Enterprise Risk Management; Modeling & Statistical Methods>Dynamic simulation models; Modeling & Statistical Methods>Markov Chain; Modeling & Statistical Methods>Modeling efficiency; 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 ... all the assumptions that go into the model as dynamic assumptions, including some kind of stochastic ...

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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