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Old 09-04-2019, 10:39 AM
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Default Webinar: Data Analysis and Modeling for Long-Term Products, 9/25

ACTEX eLearning Webinar:

Data Analysis and Modeling for Long-Term Products: Opportunities and Risks

Date: September 25, 2019 1:00 - 2:30 PM ET
Presenter: Timothy Paris, FSA, MAAA
Credits/Training Hours: 1.8 SOA CPD, CAS CE | Potential 1.5 CIA CPD
Co-sponsor: Canadian Institute of Actuaries

Early Registration Pricing Ends: 9/12/2019

Description:

Traditional experience studies and sophisticated predictive analytics are both particularly challenging for long-term products. Explore opportunities and risks for actuaries doing this type of work and the cost-benefit equation for data.

In this webinar, we will explore the difficulties of analyzing experience data for long-term products that are early in their lifecycle and translating this data to assumption models. These issues are endemic to any new product line and are evident across many large and important segments of the life and annuity landscape, including post-level term mortality and variable and fixed indexed annuity lifetime income guarantees. As a case study, we will utilize actual industry-level policyholder experience data from the US annuity market to explore the key drivers, interrelationships, and market segments. Following this, we will put ourselves in the position of an actuary working for a company in this market and analyze a company's experience data. Then we will develop and calibrate assumption models to this data, mindful of credibility limitations and risks of over-fitting data. Finally, we will show how relevant external data can be incorporated to refine the model, and how to quantify the cost-benefit of accessing this data and improving a company’s risk management.

View the Learning objectives at https://www.actexmadriver.com/product.aspx?id=453145085
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