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An Overview of Probabilistic Fuzzy Systems -- Some Preliminary
An Overview of Probabilistic Fuzzy Systems -- Some Preliminary This abstract describes a paper that presents preliminary observations with respect to probabilistic fuzzy systems. modeling; ...- Authors: Arnold Shapiro, Dabuxilatu Wang
- Date: Apr 2018
- Competency: External Forces & Industry Knowledge
- Topics: Modeling & Statistical Methods>Stochastic models
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A Stochastic Investment Model
A Stochastic Investment Model The purpose of this paper is to provide a method for calculating special contingency reserves for investment losses. The method is derived by first building a ...- Authors: John A Beekman
- Date: Jan 1980
- Competency: Results-Oriented Solutions
- Publication Name: Transactions of the SOA
- Topics: Finance & Investments; Modeling & Statistical Methods>Stochastic models
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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; ...- 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
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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 ...- 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
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Short Cuts: Easy Yield Curve Fit
Short Cuts: Easy Yield Curve Fit Feature article discussing numerical short cuts, rules of thumb, estimators, modeling tips, etc. The featured problem is fitting the intermediate points for a ...- Authors: Joseph Koltisko
- Date: Aug 2010
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods>Stochastic models
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The Modeling Platform
The Modeling Platform The April 2016 Issue of The Modeling Platform Financial accounting controls;Standards of practice;Operational risks;model validation;modeling efficiency;assumptions;ERM; ...- Authors: Society of Actuaries
- Date: Apr 2016
- Competency: Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Modeling Platform
- Topics: Actuarial Profession>Best practices; Actuarial Profession>Competencies; Enterprise Risk Management>Governance; Enterprise Risk Management>Operational risks; Life Insurance>Policyholder behavior - Life Insurance; Life Insurance>Universal life; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models; Technology & Applications>Software
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Modeling Sessions at the 2016 Life/Annuity Symposium: Summary
Modeling Sessions at the 2016 Life/Annuity Symposium: Summary A summary of Modeling Section-sponsored sessions at the 2016 Life/Annuity Symposium, covering model risk management, model ...- Authors: Mary Campbell
- Date: Dec 2016
- Competency: Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: The Modeling Platform
- Topics: Enterprise Risk Management>Governance; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Dynamic simulation models; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models
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RILA GLWB Designs and Market Risk Analysis
RILA GLWB Designs and Market Risk Analysis An overview of guaranteed lifetime withdrawal benefits (GLWB) on registered index-linkedannuity (RILA) products and a stochastic analysis of market ...- Authors: Matthew Kevin Heaphy, Nicholas Carbo, David J Elliott
- Date: May 2023
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Product Matters!
- Topics: Annuities; Annuities>Equity-indexed annuities; Annuities>Guaranteed living benefits; Modeling & Statistical Methods; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models; Annuities>Deferred annuities; Annuities>Living / Death benefit riders
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Actuarial Sciences and Uncertainties
Actuarial Sciences and Uncertainties In this article the author cautions against the temptation to extend stochastic modeling into areas of unpredictable parameters and probabilities. He ...- Authors: Francisco Bayo
- Date: May 1988
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: The Actuary Magazine
- Topics: Actuarial Profession; Modeling & Statistical Methods>Stochastic models
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Developing A Stochastic Mortality Framework To Support The Reinsurance Market
Developing A Stochastic Mortality Framework To Support The Reinsurance Market This article looks at stochastic techniques actuaries can use to quantify the non-market risks in insurance products ...- Authors: Matthew P Clark, Chad R Runchey
- Date: Feb 2008
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Reinsurance News
- Topics: Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models; Reinsurance; Reinsurance>Stop-loss insurance