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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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2022-driving-regulatory-changes
Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts ...- Authors: Andrew Allen Weaks, Robert Welander, Terri Linn Foster
- Date: Sep 2022
- Competency: Communication; External Forces & Industry Knowledge; Leadership; Professional Values; Relationship Management; Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Topics: Actuarial Profession; Annuities; Economics; Enterprise Risk Management; Experience Studies & Data; Finance & Investments; Financial Reporting & Accounting; Life Insurance; Long-term Care; Modeling & Statistical Methods; Predictive Analytics; Technology & Applications; FinTech & InsurTech
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2024-stat-imputing-race-ethnicity-us
This webcast will walk through several statistical methods for imputing race and ethnicity from U.S. datasets, highlighting strengths and weaknesses and evaluating accuracy. 25306 1019 1/29/2024 ...- Authors: Brian Bayerle, Gabriele Usan, Meseret Woldeyes
- Date: Jan 2024
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Annuities; Experience Studies & Data; Financial Reporting & Accounting; General Insurance (Property & Casualty); Health & Disability; Life Insurance; Long-term Care; Predictive Analytics; Public Policy; Reinsurance
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Case 3: Improving LTC Projections with Predictive Analytics
Case 3: Improving LTC Projections with Predictive Analytics Third article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.- Authors: Missy Gordon, Joseph Long
- Date: Aug 2018
- Competency: Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Long-Term Care News
- Topics: Experience Studies & Data>Long-term care - Experience Studies & Data; Long-term Care>Long-term care insurance; Modeling & Statistical Methods>Regression analysis; Predictive Analytics
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Mortality Improvement: The Ultimate Onion
Mortality Improvement: The Ultimate Onion Identifies current trends and considerations when setting the mortality improvement assumption for individual life insurance in the US. Life reinsurance; ...- Authors: Jay Biehl, Edward Hui
- Date: Nov 2018
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; External Forces & Industry Knowledge>External forces and business performance; Strategic Insight and Integration>Big picture view; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Reinsurance News
- Topics: Demography>Mortality - Demography; Demography>Longevity; Demography>Population data; Experience Studies & Data>Mortality; Life Insurance>Pricing - Life Insurance; Modeling & Statistical Methods>Forecasting; Predictive Analytics; Reinsurance>Life reinsurance; Reinsurance>General reinsurance
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2021 Life Meeting - Session 5A: How to Manage Unclean Data in R 8.31.21 Recording
The famous 80/20 rule in data science states that only 20% of your time working with data is spent driving insightful business analytics. The rest of your time is spent trying to query, clean and ...- Authors: Society of Actuaries
- Date: Aug 2021
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Actuarial Profession; Experience Studies & Data; Predictive Analytics; Technology & Applications
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2022-affordability-savings
Regression to the mean (RTTM) is inflating your health care intervention evaluations if you are not carefully managing it's omnipresent and significant impact RTTM is the statistical ...- Authors: Society of Actuaries
- Date: Dec 2022
- Topics: Experience Studies & Data; Modeling & Statistical Methods; Predictive Analytics
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A Refreshed Look at Assumption Development
A Refreshed Look at Assumption Development Hot topics and emerging trends in assumption development in US life insurance companies Assumptions;Audits;Predictive modeling;PBR;Product development ...- Authors: Min Mercer, Michael Kwan Yu Chan
- Date: Jun 2015
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context; Leadership>Thought leadership; Professional Values>Public interest representation
- Publication Name: Product Matters!
- Topics: Enterprise Risk Management>Governance; Experience Studies & Data; Financial Reporting & Accounting>Statutory accounting; Predictive Analytics
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Company Profitability and Risk Dashboards--A Tool in the Understanding and Management of Risk, Part 1
Company Profitability and Risk Dashboards--A Tool in the Understanding and Management of Risk, Part 1 The article is Part 1 of two articles that provide a case study for the development of a ...- Authors: Marianne C Purushotham, Mark Birdsall
- Date: Sep 2016
- Competency: Communication>Difficult message delivery; External Forces & Industry Knowledge>Internal forces and business performance; Results-Oriented Solutions>Actionable recommendations; Strategic Insight and Integration>Big picture view; Strategic Insight and Integration>Effective decision-making; Strategic Insight and Integration>Influence decisions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Small Talk
- Topics: Actuarial Profession>Best practices; Experience Studies & Data>Mortality; Life Insurance>Marketing and distribution - Life Insurance; Predictive Analytics
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2022-telematics-auto-ins
Dive into an overview of potential customer value propositions, trends in consumer acceptance and adoption, solving the data portability issue, potential impacts of emerging partner ships with ...- Authors: Chester John Szczepanski
- Date: Jul 2023
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Topics: Actuarial Profession; Enterprise Risk Management; Experience Studies & Data; General Insurance (Property & Casualty); Predictive Analytics; Technology & Applications