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  • How to Prevent the Big Mistake
    How to Prevent the Big Mistake This article deals with enterprise risk management and how the techniques contained within the discipline can help prevent unforeseen large mistakes in strategy, ...

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    • Authors: Edward Betteto
    • Date: Mar 2003
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Publication Name: Reinsurance News
    • Topics: Enterprise Risk Management; Finance & Investments>Asset liability management; Finance & Investments>Portfolio management - Finance & Investments; Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models
  • Stochastic Simulation for C3 Risk:A Statistical Review
    Stochastic Simulation for C3 Risk:A Statistical Review In 2003, the American Academy of Actuaries Life Capital Adequacy Subcommittee LCAS published a set of 10,000 stochastic scenarios that was ...

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    • Authors: Richard Wendt
    • Date: Feb 2005
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Risks & Rewards
    • Topics: Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models
  • What Makes an Economic Scenario Generator "Realistic"?
    What Makes an Economic Scenario Generator "Realistic"? Explains considerations for stochastic modeling of credit spreads, inflation and exchange rate risk. credit risk;foreign ...

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    • Authors: Jonathan Mossman
    • Date: Aug 2015
    • Competency: Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Publication Name: Risks & Rewards
    • Topics: Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
  • 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 ...

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    • 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
  • DI for Dinner
    DI for Dinner 4/5/2019 12:00:00 AM ...
    • Authors: Kai Kaufhold
    • Date: Apr 2019
    • Publication Name: Reinsurance News
    • Topics: Health & Disability>Disability insurance; Modeling & Statistical Methods>Simulation; Modeling & Statistical Methods>Stochastic models; Health & Disability>Incidence
  • Real-world interest rate models in a low interest rate environment
    Real-world interest rate models in a low interest rate environment This article presents a case study that examines the implication of using real-world interest rate scenario generators with a ...

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    • Authors: Marshall Lin, Jean-Philippe Larochelle, Francisco Orduna
    • Date: Dec 2015
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: The Modeling Platform
    • Topics: Economics>Financial economics; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
  • Bridging Theory and Practice
    Bridging Theory and Practice Two breakout sessions were held. Their goal was to explore ways in which researchers and practitioners could be brought closer together. The following summaries were ...

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    • Authors: Stuart Klugman
    • Date: Jan 2000
    • Competency: External Forces & Industry Knowledge>Actuarial theory in business context
    • Publication Name: Actuarial Research Clearing House
    • Topics: Actuarial Profession>Professional development; Modeling & Statistical Methods>Stochastic models
  • 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 ...

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    • 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
  • Economic Scenario Generators, Part I: Motivation for Stochastic Modeling
    Economic Scenario Generators, Part I: Motivation for Stochastic Modeling This article is the first installment of a three-part series that aims to provide an overview of ESGs and will focus on ...

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    • Authors: Dean Kerr, Matthew Zhang, Rahat Jain
    • Date: Nov 2019
    • Competency: Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
    • Publication Name: The Modeling Platform
    • Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Scenario generation; Modeling & Statistical Methods>Stochastic models
  • An Alternative Approach To Calculation of IBNR Reserve in Health Insurance
    An Alternative Approach To Calculation of IBNR Reserve in Health Insurance This work investigates the use of a statistical approach to calculate the incurred but not reported IBNR reserve ...

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    • Authors: Jed Linfield, Krzysztof Ostaszewski, Jinadasa Gamage
    • Date: Jan 2007
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
    • Topics: Health & Disability>Health insurance; Modeling & Statistical Methods>Stochastic models