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  • Cognitive Dissonance In an open letter to actuaries, John Shuttleworth argues that the profession needs to excise its old ways of thinking
    Cognitive Dissonance In an open letter to actuaries, John Shuttleworth argues that the profession ... risk free management. 3. Sponsors of the British, U.S. and pension schemes in other countries have tacitly ...

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    • Authors: Edward H Friend, John Lawson Shuttleworth
    • Date: Oct 2002
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Risks & Rewards
    • Topics: Economics>Financial economics; Global Perspectives
  • Subjective Value at Risk
    Subjective Value at Risk This article provides an analysis of Value at Risk VAR and its advantages ... private retirement plans as REFERENCES Bakshi, Gurdip S., and Zhiwu Chen. Congressional Budget Office. 1993 ...

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    • Authors: Glyn A Holton
    • Date: Oct 1998
    • Competency: External Forces & Industry Knowledge
    • Publication Name: Risks & Rewards
    • Topics: Finance & Investments>Value at risk - Finance & Investments
  • Taking Stock—What Really Has Changed In The Past Two Years
    Taking Stock—What Really Has Changed In The Past Two Years A review of changes in the last two ... It makes one worry more today about holding the S&P 500 futures long overnight. Also the United States ...

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    • Authors: Nino A Boezio
    • Date: Feb 2003
    • Competency: External Forces & Industry Knowledge; Strategic Insight and Integration
    • Publication Name: Risks & Rewards
    • Topics: Finance & Investments>Investments
  • Stochastic Volatility And Option Pricing
    28 | RISKS AND REWARDS FEBRUARY 2010 S tochastic volatility models are now routinely used ... processes may may have any distribution, while if S is GBM then Stochastic Volatility and Option Pricing ...

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    • Authors: Daniel Dufresne
    • Date: Feb 2010
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: Risks & Rewards
    • Topics: Modeling & Statistical Methods>Stochastic models