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Pricing for Sparse Data
14 OTM 0-25% -0.1 15 ATM 0.0 16 ITM 0-25% 0.2 17 ITM 25%+ 0.6 18 Frequency of withdrawals over last ... 13 OTM 25%+ 14 OTM 0-25% 15 ATM 16 ITM 0-25% 17 ITM 25%+ 18 Frequency of withdrawals over last ...- Authors: Timothy S Paris, Andy Samuel King
- Date: May 2020
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Annuities; Annuities>Variable annuities; Experience Studies & Data; Experience Studies & Data>Policyholder or participant behavior - Experience
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Session 061: What Industry Data Tells Us About Policyholder Behavior
lawsuits • Lapsation • Mortality deterioration 17 First Generation Universal Life Products Session ... 0% 7.0% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Po lic y La ps e R at es Policy Year ...- Authors: Aisling Bradfield, Lisa Seeman, Colin Sproat
- Date: Jan 2020
- Competency: External Forces & Industry Knowledge
- Topics: Experience Studies & Data; Experience Studies & Data>Policyholder or participant behavior - Experience ; Life Insurance; Life Insurance>Product development - Life Insurance
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Deep Learning and Actuarial Experience Analysis
Deep Learning and Actuarial Experience Analysis Deep learning neural network applied to experience ... explain, are not exact. APRIL 2019 COMPACT | 17 In addition, the effort required to implement our ...- Authors: Kevin Kuo, Robert Crompton
- Date: May 2019
- Competency: Results-Oriented Solutions
- Publication Name: CompAct
- Topics: Experience Studies & Data; Experience Studies & Data>Mortality; Experience Studies & Data>Policyholder or participant behavior - Experience ; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools