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Economic Scenario Generators, Part I: Motivation for Stochastic Modeling
Generator (AIRG), the most commonly used ESG by U.S.-based actuaries. See Figure 1 for an overview of ... assigning a market-consistent value to a variable annuity (VA) product with a guaranteed minimum accumulation ...- 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
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A Handful of Economic Capital Model Observations
and use of economic capital (EC) mod-els in the U.S. have certainly moved forward since the models were ... assumption. For instance, a “1 in 200 year” mortality assumption could lead the actuary to an influenza ...- 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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A Computation Method for Discounting Stochastic Scenarios Under IFRS 17
path-dependent discounting for scenarios. IFRS 17's requirement to discount best-estimate cashflows using ... a technique for calibrating each of the scenario's cashflows so that they can be discounted with other ...- Date: Sep 2019
- Competency: Results-Oriented Solutions
- Publication Name: The Financial Reporter
- Topics: Financial Reporting & Accounting; Financial Reporting & Accounting>International Financial Reporting Standards [IFRS]; Modeling & Statistical Methods; Modeling & Statistical Methods>Stochastic models
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Need for Speed: How to optimize models for maximal run efficiency
multiple reporting bases—including stat- utory, U.S. GAAP, IFRS and tax—modelers should strive to centralize ... death benefit (DB) rider onto a base variable annuity prod- uct, there is an opportunity to leverage ...- 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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PBR Simplified Methods Project
all material assumptions; 2. objectivity measure(s) for material best esti- mate assumptions; 3. an actuarial ... a range from zero to one, such as lapse and mortality. The resulting distribution covers both estimation ...- 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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A Handful of Economic Capital Model Observations
A Handful of Economic Capital Model Observations Commentary on practical observations resulting ... première propagation vers le milieu des années 2000. Les principaux instigateurs de la mise en œuvre ...- 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