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Modeling Economic Series Coordinated withInterest Rate Scenarios
potential future operating conditions. An example of a direct applica- tion of scenario generation is cash flow ... INTEREST RATE SCENARIOS From Page 29 and our primary motivation for this is to recruit investment professionals ...- Authors: Steven Siegel
- Date: Aug 2005
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods>Scenario generation
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Modeling of Economic Series Coordinatedwith Interest Rate Scenarios Project
Modeling of Economic Series Coordinatedwith Interest Rate Scenarios Project This article describes ... and/or statistical journals. A summary of the primary findings and procedures appearing in the review ...- Authors: Steven Siegel
- Date: Oct 2002
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods>Scenario generation
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When Is It Right To Use Arbitrage-FreeScenarios?
When Is It Right To Use Arbitrage-FreeScenarios? When Is It Right To Use Arbitrage-Free Scenarios? ... and uses of our Section’s financial surplus. The primary objective is to use Section assets to fund invest- ...- Authors: Stephen Britt
- Date: Sep 2000
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods>Scenario generation
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Beware stochastic model risk!
Beware stochastic model risk! The article warns against treating the results of a stochastic ... calibration should be treated with just as much care and review as the underlying actuarial assumptions ...- 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