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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 ...- 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
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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 ...- 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
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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 ...- 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
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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 ...- 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
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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 ...- 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
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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 ...- 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
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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 ...- 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
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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 ...- 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
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Actuarial Research Conference
Actuarial Research Conference Report on the topics and speakers at the Actuarial Research Conference and Social Security Benefits, held August 31 through September 2, 1978. Bayesian methods; ...- Authors: John A Beekman
- Date: Nov 1978
- Competency: Communication; External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Actuary Magazine
- Topics: Actuarial Profession>Professional associations; Modeling & Statistical Methods
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Back Dating Options: How Big A Sin Was It?
Back Dating Options: How Big A Sin Was It? “It’s interesting to note that, given the past year’s reversal of fortunes in the stock markets, all the media rap about heated inquiries around ...- Authors: Cicero Limberea
- Date: Aug 2009
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Risks & Rewards
- Topics: Financial Reporting & Accounting>Fair value accounting; Modeling & Statistical Methods