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  • Financial Market Volatility: Modeling and Management
    and Management From a session at the Spring meeting of the Society of Actuaries held in San Antonio, Texas ... methods for estimating future volatility of financial markets, how to predict the effect of volatility on insurance ...

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    • Authors: Francis Sabatini, Application Administrator, Aleksandar Kocic
    • Date: Jun 2004
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management
    • Publication Name: Record of the Society of Actuaries
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods
  • Ten Years Later: The Investment Asset/Liability Management Actuary
    Ten Years Later: The Investment Asset/Liability Management Actuary This session at the SOA 1998 Maui I ... issues related to the more direct involvement of actuaries on the asset side of the balance sheet. Alternative ...

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    • Authors: Steven Miller, Francis Sabatini, Robert E Rachlow, Application Administrator
    • Date: Jun 1998
    • Competency: External Forces & Industry Knowledge
    • Publication Name: Record of the Society of Actuaries
    • Topics: Actuarial Profession; Finance & Investments
  • Hedging Variable Annuity Guarantees: A Practical Discussion
    Practical Discussion From a session at the Spring meeting of the Society of Actuaries held in San Antonio, Texas ... 2004 The panelists discuss the benefits of hedging variable annuity guarantees, the challenges ...

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    • Authors: Zafar Rashid, Francis Sabatini, Application Administrator, Daniel D Heyer, Mark Evans
    • Date: Jun 2004
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management
    • Publication Name: Record of the Society of Actuaries
    • Topics: Annuities>Guaranteed living benefits; Annuities>Variable annuities; Finance & Investments>Risk measurement - Finance & Investments; Financial Reporting & Accounting>Generally Accepted Accounting Principles [GAAP]; Modeling & Statistical Methods>Stochastic models