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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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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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Beware stochastic model risk!
Beware stochastic model risk! The article warns against treating the results of a stochastic model with more deference than other actuarial analysis, and describes some hidden risks involved with ...- Authors: Stephen Strommen
- Date: Sep 2019
- Competency: Professional Values; Technical Skills & Analytical Problem Solving
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models
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Universal Life With Secondary Guarantees: Stochastic Pricing Analysis
Universal Life With Secondary Guarantees: Stochastic Pricing Analysis This article is based on an excerpt from a Milliman Research Report on universal life insurance with secondary guarantees, ...- Authors: Robert Stone, Andrew Steenman
- Date: Feb 2012
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Product Matters!
- Topics: Life Insurance>Secondary guarantees; Life Insurance>Universal life; Modeling & Statistical Methods>Stochastic models
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Classical Risk Model with Multi-Layer Premium Rate
Classical Risk Model with Multi-Layer Premium Rate A classical risk model with a multi-layer premium rate is considered in this paper. In the two-layer case, an explicit expression is obtained ...- Authors: Xiaowen Zhou
- Date: Jan 2007
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods>Stochastic models
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A Handful of Economic Capital Model Observations
A Handful of Economic Capital Model Observations Commentary on practical observations resulting from constructing and running Economic Capital models. Possible standardization of assumptions and ...- Authors: David M Walczak
- Date: Nov 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Risk Management
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models
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PBR Simplified Methods Project
PBR Simplified Methods Project Summary of the SOA research project on PBR Simplified Methods. Describes the multi-risk scenario generator, central estimate assumptions, assumption objectivity ...- Authors: Mark Birdsall
- Date: Apr 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: The Financial Reporter
- Topics: Life Insurance>Reserves - Life Insurance; Life Insurance>Secondary guarantees; Life Insurance>Term life; Life Insurance>Universal life; Life Insurance>Whole life; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
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Need for Speed: How to optimize models for maximal run efficiency
Need for Speed: How to optimize models for maximal run efficiency Producing a crystal-clear balance roll-forward on time, obtaining a fresh model output the first time or providing model results ...- Authors: Housseine Essaheb
- Date: May 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: CompAct
- Topics: Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models; Technology & Applications>Automation
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Distribution of the Number of IBNR Claims
Distribution of the Number of IBNR Claims This paper proposes a model for the incurred but not reported - IBNR- claims of an insurance company. This model will be fit to third party automobile ...- Authors: Louis G Doray
- Date: Jan 1990
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Actuarial Research Clearing House
- Topics: Health & Disability>Accident insurance; Modeling & Statistical Methods>Stochastic models
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A Handful of Economic Capital Model Observations
A Handful of Economic Capital Model Observations Commentary on practical observations resulting from constructing and running Economic Capital models. Possible standardization of assumptions and ...- Authors: David M Walczak
- Date: Nov 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Risk Management
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Conditional Tail Expectation; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models