Refine your search
51 - 60 of 125 results (0.38 seconds)
Sort By:
  • Transformation Of Grouped Data To Near Normality
    Transformation Of Grouped Data To Near Normality The conventional way to analyze grouped observations on a single variable is to construct histograms or, sometimes, fit a normal distribution. We ...

    View Description

    • Authors: Richard A Johnson, Victor M Guerrero
    • Date: Jan 1984
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Modeling & Statistical Methods>Estimation methods; Technology & Applications>Analytics and informatics
  • The Financial Implications of Finite Ruin Theory
    The Financial Implications of Finite Ruin Theory An insurance company starts with an initial surplus, collects premium, pays claims to policyholders and pays dividends to stockholders. What ...

    View Description

    • Authors: Glenn Meyers
    • Date: Jan 1986
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models
  • Earnings Focused Asset-Liability Management
    Earnings Focused Asset-Liability Management There are two main techniques for evaluating the financial impact of interest rate movements on insurance companies: duration measures and computer ...

    View Description

    • Authors: Barry Freedman
    • Date: Aug 2005
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Risks & Rewards
    • Topics: Finance & Investments>Asset liability management; Modeling & Statistical Methods
  • Are Your Scenarios on Target?
    Are Your Scenarios on Target? Are Your Scenarios on Target?From Risks and Rewards Newsletter, August 2005, Issue No. 47. Actuaries are faced with the dilemma of how to incorporate advances in ...

    View Description

    • Authors: Application Administrator
    • Date: Aug 2005
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Risks & Rewards
    • Topics: Modeling & Statistical Methods>Stochastic models
  • An Introduction To Risk Measures For Actuarial Applications
    An Introduction To Risk Measures For Actuarial Applications This study note focuses on actuarial applications and loss distributions for insurance products. Conditional Tail Expectation=CTE;Monte ...

    View Description

    • Authors: Mary Hardy
    • Date: Jul 2006
    • Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>Actuarial theory in business context
    • Topics: Finance & Investments>Value at risk - Finance & Investments; Modeling & Statistical Methods>Asset modeling; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Estimation methods
  • Biased Sampling: Solution for Lower Incidence Rate
    Biased Sampling: Solution for Lower Incidence Rate Given the lower incidence rate, use of decision tree techniques like Classification and Regression Tree CART in understanding credit or ...

    View Description

    • Authors: M Muthu Mangai
    • Date: May 2009
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Topics: Enterprise Risk Management>Operational risks; Modeling & Statistical Methods>Stochastic models
  • Minimally Destructive Scenarios and Cognitive Bias
    Minimally Destructive Scenarios and Cognitive Bias The author recommends the use of "minimally destructive scenarios" as part of an ORSA process, in order to deal with cognitive ...

    View Description

    • Authors: Mary Campbell
    • Date: May 2012
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Enterprise Risk Management>Risk appetite; Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Sensitivity testing
  • DxCG Comments on A Comparative Analysis of Claims-Based Tools for Health Risk Assessment
    DxCG Comments on A Comparative Analysis of Claims-Based Tools for Health Risk Assessment The comments of DxCG about their participation in the SOA study A Comparative Analysis of Claims-Based ...

    View Description

    • Authors: Society of Actuaries
    • Date: May 2007
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; External Forces & Industry Knowledge>External forces and business performance
    • Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency
  • Demutualization Issues - Charts
    Demutualization Issues - Charts Charts 1-5 to be attached to the 2000 Valuation Actuary session on demutualization issues. Asset modeling;Actual-to-expected=A/E=Actual to expected ratio; ...

    View Description

    • Authors: Robert Matczak, Meredith Ratajczak, Barry L Shemin
    • Date: Sep 2000
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Topics: Financial Reporting & Accounting; Modeling & Statistical Methods
  • A Proposed Unified Valuation System
    A Proposed Unified Valuation System This is the abstract of the article 'A Proposed Unified Valuation System'. This article will briefly describe some analytical examples of a ...

    View Description

    • Authors: David Sandberg
    • Date: Jan 2000
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models