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Session 39 - The Use of Predictive Analytics to Set Valuation Assumptions
Session 39 - The Use of Predictive Analytics to Set Valuation Assumptions Certain valuation assumptions are difficult to set with a high degree of accuracy, whether because the underlying ...- Authors: Martin Snow, Timothy S Paris
- Date: Aug 2019
- Competency: Strategic Insight and Integration
- Topics: Experience Studies & Data>Morbidity; Technology & Applications>Business intelligence
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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 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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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