Description: 1996 Valuation Actuary Symposium. In this teaching session on liability modeling, the panelists discussed the key aspects of identifying and gathering the data required to construct models, the model building process including objectives and considerations, and the modeling process from the standpoint of policyholder and company behaviors.

Description: As the Valuation Manual continues to evolve and PBR standards for additional products are drafted and incorporated, it will become increasingly important for companies to understand where the requirements are consistent across products, as well as how they differ. This session will scan the life (VM-20) and annuity (VM-21, VM-22) PBR standards across the Valuation Manual to compare and contrast key requirements. Attendees will understand where common methods and techniques can be used across products and platforms. Attendees will also be better positioned to consider assumption and margin setting, asset and derivative modeling, and model efficiency techniques for all types of principles-based valuations. Additionally, this session will profile specific challenges that can arise when actuaries use models to project PBR reserves at future dates for internal planning, pricing, and projections across life and annuity businesses.

Description: In this session 35TS of the 2004 Valuation Actuary Symposium, the instructor provides simple tools and guidelines to better ensure that correct conclusions are drawn. This material is presented without the use of complex mathematical formulas. Topics include appropriateness of the assumption of normality including discussion of the distribution of a conditional tail expectation, drawing inferences about population means and tail percentiles, and uses and pitfalls of linear regression analysis.

Description: Ever wanted to do a Kaggle data science competition, but didn't know where to start? This presentation meets the needs of actuaries interested in predictive analytics and competitive data science. The presentation will describe the nature of competitive data science, and provide insights into lessons learned by competing in the Airbus Ship Detection Challenge at Kaggle, as well as other Kaggle competitions. The presenters will provide an introduction to neural networks and describe the nature of the Airbus Ship Detection Challenge and other Kaggle competitions, plus a solution approaches that can be used to obtain top scores using Convolutional Neural networks (CNNs), random forests and boosted trees.

Description: This session discussion is about application of actuarial analysis and models to evaluate investment features. From Record of the Society of Actuaries Vol. 15, No. 1.

Description: 2003 Valuation Actuary Symposium, San Diego, CA. In this Teaching Session the instructor discussed the importance of making sure the correct inferences were drawn from stochastic testing exercises. Topics included: 1. Applying the assumption of a normal distribution. 2. Drawing inferences about, and creating confidence intervals around, a population mean. 3. Drawing inferences about, and creating confidence intervals around, tail percentiles. 4. Certifying anticipated mortality under XXX in a mathematically concise way.

Description: 1988 Valuation Actuary Symposium. In this session the speaker described the modeling of the participating whole life division including the product description, modelling assumptions, operation of the model, and the results.

Description: 1996 Valuation Actuary Symposium. Topics discussed in this session included developing an approach to quantifying C-3 risk and exploring ways to improve the C-3 component of the NAIC RBC formula.

Description: This session at the SOA 1990 Hartford Spring Meeting is about cash flow testing as it relates to taxes including the regulatory background, current practices, and the effect of using tax versus statutory values in cash flow testing.

Description: This session at the 1998 Valuation Actuary Symposium discusses the modeling of equity-indexed annuities including the assets and derivatives associated with the annuities.