1 - 6 of 6 results (0.25 seconds)
Sort By:
  • Development of a Simulation-based Model to Quantify the Degree of a Bank’s Liquidity Risk
    Development of a Simulation-based Model to Quantify the Degree of a Bank’s Liquidity Risk 2011 Enterprise Risk Management Symposium, Chicago. This study investigates whether simulation-based ...

    View Description

    • 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
  • How Many Scenarios?
    How Many Scenarios? The Risk Management Task Force polled the Risks & Rewards readers and asked the following questions related to Monte Carlo models: 1 How many scenarios do you run? 2 How ...

    View Description

    • Authors: David Ingram
    • Date: Oct 2002
    • Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management
    • Publication Name: Risks & Rewards
    • Topics: Enterprise Risk Management; Modeling & Statistical Methods>Stochastic models
  • Critical Review of Stochastic Simulation Literature and Applications for Health Actuaries
    Critical Review of Stochastic Simulation Literature and Applications for Health Actuaries A study on stochastic simulation literature as it applies to a health actuary. Dynamic simulation models; ...

    View Description

    • 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 discusses constructing and using a comprehensive, credible risk management system with a ...

    View Description

    • 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
  • How to Prevent the Big Mistake
    How to Prevent the Big Mistake This article deals with enterprise risk management and how the techniques contained within the discipline can help prevent unforeseen large mistakes in strategy, ...

    View Description

    • Authors: Edward Betteto
    • Date: Mar 2003
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Publication Name: Reinsurance News
    • Topics: Enterprise Risk Management; Finance & Investments>Asset liability management; Finance & Investments>Portfolio management - Finance & Investments; Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
  • A Life Contingency Approach for Physical Assets: Create Volatility to Create Value
    A Life Contingency Approach for Physical Assets: Create Volatility to Create Value 2011 SOA Enterprise Risk Management Symposium, Chicago. This paper suggests the use of a policy event-based ...

    View Description

    • Authors: Thomas Emil Wendling
    • Date: Mar 2011
    • Competency: Technical Skills & Analytical Problem Solving
    • Topics: Enterprise Risk Management; Modeling & Statistical Methods>Stochastic models