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Quantifying Pandemic Risk
Quantifying Pandemic Risk Using the recent West Africa Ebola outbreak as an example, the authors discuss several modeling approaches that can be useful for estimating pandemic risk. Catastrophic ...- Authors: Nita Madhav, James Fullam
- Date: Jan 2015
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Strategic Insight and Integration>Big picture view
- Publication Name: The Actuary Magazine
- Topics: Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Stochastic models
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The next step forward: Can one actuarial system do it all?
The next step forward: Can one actuarial system do it all? The next evolution of actuarial systems in the U.S. will likely be a move toward a single system solution. This article defines a single ...- Authors: Corey A Carriker, Jason Morton, Ryan Kiefer
- Date: Dec 2015
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: The Modeling Platform
- Topics: Actuarial Profession>Best practices; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Modeling efficiency; Modeling & Statistical Methods>Stochastic models
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FTE vs. MRM: Model Risk Management with Minimal Staff
FTE vs. MRM: Model Risk Management with Minimal Staff This article offers a comprehensive approach for “lean” model risk management (MRM), i.e., the management of an MRM program with few or ...- Authors: Damon D Levine
- Date: Jan 2026
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Investment and Risk Management Community Newslette
- Topics: Enterprise Risk Management; Enterprise Risk Management>Operational risks; Modeling & Statistical Methods; Modeling & Statistical Methods>Regression analysis; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models
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Model Efficiency Study Results Report
Model Efficiency Study Results Report The Financial Reporting and Product Development Sections, along with the Committee on Life Insurance Research are pleased to make the following report ...- Authors: Mark E Alberts, Mary J Bahna-Nolan, Susan Deakins, Trevor Howes
- Date: Nov 2011
- Competency: External Forces & Industry Knowledge
- Topics: Modeling & Statistical Methods>Stochastic models
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A Users Guide to the Inflation Generator
A Users Guide to the Inflation Generator This is the User's Guide that accompanies the Inflation Generator Excel spreadsheet which is associated with the research report entitled 'The ...- Authors: Stephen P D'Arcy, Kevin Ahlgrim
- Date: Feb 2012
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Economics; Modeling & Statistical Methods>Stochastic models
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Testing Deterministic versus Stochastic Trends in the Lee-Carter Mortality Indexes and Its Implications for Projecting Mortality Improvements at Advanced Ages Abstract
Testing Deterministic versus Stochastic Trends in the Lee-Carter Mortality Indexes and Its Implications for Projecting Mortality Improvements at Advanced Ages Abstract In this paper, we ...- Authors: Wai Chan, Siu-Hang Li, SIU HUNG CHEUNG
- Date: Jan 2008
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Experience Studies & Data>Mortality; Global Perspectives; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Stochastic models
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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 ...- Authors: Thomas Emil Wendling
- Date: Mar 2011
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Enterprise Risk Management; 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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C3 Phase II – Practical Insights for this Year End
C3 Phase II – Practical Insights for this Year End A discussion of the possible effort required and impacts resulting from the implementation of C3 Phase II for establishing risk-based capital ...- Authors: Timothy J Ruark
- Date: Dec 2005
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: The Financial Reporter
- Topics: Annuities>Capital - Annuities; Enterprise Risk Management>Risk measurement - ERM; Finance & Investments>Capital management - Finance & Investments; Finance & Investments>Risk measurement - Finance & Investments; Financial Reporting & Accounting>Statutory accounting; Modeling & Statistical Methods>Stochastic models; Public Policy
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An Actuarial Layman's Guide to Building Stochastic Interest Rate Generators
An Actuarial Layman's Guide to Building Stochastic Interest Rate Generators This paper, originally published in 1992 in the Transactions of Society of Actuaries Vol. 44, deals with a topic ...- Authors: Michael F Davlin, Merlin F Jetton, James A Tilley, Hal Warren Pedersen
- Date: Oct 1992
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Economics>Financial economics; Modeling & Statistical Methods>Stochastic models