Description: This paper discusses some powerful uses of recursive functions, including: 1. Universal life, both for the calculation of target premiums and reserves. 2. Paid-up Rider. Recursive functions can directly determine a premium that precisely matures the rider. 3. Traditional Whole Life. Reserves can be efficiently calculated when needed instead of referring to a table of stored factors. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This is a report on Phase 2 of a research project on the role of automated systems in life insurance underwriting. This paper discusses: 1. How and why companies are using automation to make underwriting decisions. 2. Its impact upon operational efficiency, sales, and retention. 3. The quality of risk selection produced by automated systems. 4. Cultural acceptance of increased automation in underwriting. 5. Challenges insurers must overcome to implement and maintain automated underwriting.

Description: In this article, we explore key insights from Oliver Wyman's 2020 Life PBR Emerging Practices Survey, which provides a broad industry perspective with more than 50 companies participating representing 95 percent of the individual life market (by written premium). Insights include the impact of PBR on reserves and profitability in addition to emerging practices related to product design, assumption development, and methodology decisions.

Description: This article discusses how small insurance companies can get into the complex equity indexed market by using alliances wherein there is one primary company and one or more secondary companies. The primary company would perform all of the functions for itself and some of the functions for the secondary companies. The companies pool assets to reach critical mass.

Description: This practical session would provide a technical overview about Generalized Linear Model (GLM) and describe how GLM can be applied as a business tool in life insurance. The session would also focus on case-studies sharing across different functional areas such as pricing, fraud detection, underwriting, product development and other real-world applications.

Description: This practical session would provide a technical overview about GLM techniques and describe how GLM can be applied as a business tool in solving business problems in life insurance. The session would also focus on recent real-world case-studies across different functional areas like pricing, fraud detection, underwriting and product development.

Description: Read the Quo Vadis Reinsurance.

Description: The objective of this presentation was to evaluate the different pricing techniques as to their effectiveness in capturing and quantifying the varied risks associated with the sale and administration of life insurance and annuity products. The results of a 2002 company survey about pricing were presented in support of this objective.

Description: Description and welcome to the 2020 Canadian Reinsurance Conference including highlight of the key note speaker

Description: Summary of the SOA research project on PBR Simplified Methods. Describes the multi-risk scenario generator, central estimate assumptions, assumption objectivity measures, and regulatory demonstrations per VM-20.