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Session 061: What Industry Data Tells Us About Policyholder Behavior
Session 061: What Industry Data Tells Us About Policyholder Behavior This session meets the needs of life insurance actuaries who are focused on experience studies, assumption setting, and/or ...- 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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Session 134: How to Get Real Results in Policyholder Behavior Modeling
Session 134: How to Get Real Results in Policyholder Behavior Modeling The insurance industry has a lot to learn from academia's missteps. With predictive analytics assuming an ever-expanding ...- Authors: Rosmery Cruz, Timothy S Paris
- Date: Feb 2020
- Competency: External Forces & Industry Knowledge
- Topics: Annuities; Annuities>Policyholder behavior - Annuities; Experience Studies & Data>Policyholder or participant behavior - Experience
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Pictures of Super Models
Pictures of Super Models What is a "super" model? How do we develop, maintain, and visualize them? What is the difference between models and assumptions? Most importantly, how can we use ...- Authors: Timothy S Paris
- Date: Apr 2019
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: The Modeling Platform
- Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Modeling & Statistical Methods
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Session 099: The Connection Between Oral Health and Medical Outcomes
Session 099: The Connection Between Oral Health and Medical Outcomes The Triple Aim is a vision to improve the health of populations, create a better quality of life, and reduce per capita ...- Authors: Dimple A Ambooken , Jan Grutzius, Court Melin , Herschel Reich, Ginny Roberts
- Date: May 2019
- Competency: Strategic Insight and Integration
- Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Health & Disability>Health care
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Session 08: Policyholder Behavior Modeling and the Risks of Over-fitting Data
Session 08: Policyholder Behavior Modeling and the Risks of Over-fitting Data The presenters will explore policyholder experience data for long-term products, risks of over-fitting data in ...- Authors: Chanseo Lee, Timothy S Paris
- Date: May 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Predictive Analytics
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Session 126: Swiss Re Session Series Part 3: Future Ready, Now: Succeeding Amid Behavioral Uncertainty
Session 126: Swiss Re Session Series Part 3: Future Ready, Now: Succeeding Amid Behavioral Uncertainty Apart from their operating environment and the core risks they help others mitigate, ...- Authors: Jennifer McGinnis, Josh Everett, Jon Cooper
- Date: Feb 2020
- Competency: Strategic Insight and Integration
- Topics: Enterprise Risk Management; Enterprise Risk Management>Compliance; Experience Studies & Data; Experience Studies & Data>Policyholder or participant behavior - Experience
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Session 025: Post Level Term: Lapse and Mortality Risk Considerations
Session 025: Post Level Term: Lapse and Mortality Risk Considerations As more term insurance policies move to the post-level period, actuaries are evaluating policyholder behavior and expected ...- Authors: Patrick Davidson , Katherine McLaughlin, Laura Muse, Aisling Bradfield
- Date: Jan 2020
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Life Insurance; Life Insurance>Term life
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Pricing for Sparse Data
Pricing for Sparse Data While our ability to access and analyze large quantities of data is better than ever, many long-term products suffer from sparse data in critical risk areas, such as deep ...- 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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Deep Learning and Actuarial Experience Analysis
Deep Learning and Actuarial Experience Analysis Deep learning neural network applied to experience analysis for post-level term lapse and mortality. Neural networks, Mortality Assumption, ...- 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
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2009-13 U.S. Individual Life Persistency Report
2009-13 U.S. Individual Life Persistency Report This report presents the results of individual life insurance lapse experience in the United States between observation years 2009 and 2013. Lapse ...- Authors: Society of Actuaries
- Date: Jun 2019
- Competency: External Forces & Industry Knowledge
- Topics: Experience Studies & Data>Policyholder or participant behavior - Experience ; Life Insurance>Policyholder behavior - Life Insurance