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How to Prevent the Big Mistake
of those entities that possess guaranteed mortality death bene- fit (GMDB) risk have been well documented; ... regulatory require- ment. It can be argued that the U.S. indus- try’s troubles with GMDB started with enterprising ...- 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
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A Loss Reserving Model within the framework of Generalized Linear Models
Example 2.1 GLMs commonly used in insurance data Table 1 below gives the different model components of ... m my ) Link g identity reciprocal log logit Table 1: GLM Examples Additional examples include inverse ...- Authors: José Garrido, JUN ZHOU
- Date: May 2009
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Stochastic models
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The Distribution of Discounted Compound Renewal Sums
Model (1957) for an aggregate claim is given by: S(t) = N(t)∑ k=1 Xk , t ≥ 0 , (1) where N(t) is a ... Model (1957) for an aggregate claim is given by: S(t) = N(t)∑ k=1 Xk , t ≥ 0 , (1) where N(t) is a ...- Authors: José Garrido, GHISLAIN LEVEILLE, Ya Fang Wang
- Date: Nov 2008
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Topics: Finance & Investments>Risk measurement - Finance & Investments; Modeling & Statistical Methods>Stochastic models