Description: Focusing on the topic of Principle Based Reserves (PBR), the SOA offers on-demand education. The PBR series consists of ten micro-lessons providing foundational education on PBR and requirements of VM-20.

Description: This paper addresses the need for obtaining further information about the differences in life insurance persistency or lapsation among companies during the first fifteen years from issue. It also introduces the statistical technique of cluster analysis From Transactions of Society of Actuaries 1981, Vol. 33.

Description: Recent developments in automation capability have opened the door to improvements in the way that companies are able to monitor compliance with Internal Revenue Code (IRC) Section 7702. Further automation of Section 7702 testing allows for less input, more policy testing, and significant reductions in manual processes and risks associated with them. As technology has improved, and computing power become virtually limitless, the insurance industry can take advantage of these new technologies to improve and enhance 7702 capabilities. The result can be an easier, faster and more comprehensive process that will be more scalable across products. By attending the session, you will: - Understand the basics IRC 7702 calculations and computational limitations on traditional solutions. - Identify the features that make low-code/no-code solutions unique and their uses in an actuarial context. - Apply the pros and cons of low-code/no-code (LCNC) solutions in a 7702 context.

Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: Feature article discussing how to do a model update.

Description: This article is the first in a series of articles on insurance applicant mortality risk analytics. From Small Talk Newsletter, Issue 37, January 2012.

Description: The Individual Life Experience Committee is holding a competition encouraging actuaries and other interested parties to predict 2017 industry mortality based on a data set containg 2009 - 2016 data. The competition is not only about predicting mortality, but also about explaining and presenting the results.

Description: With many complex regulatory changes on the horizon as well as pressures to ensure model accuracy from auditors, regulatory requirements and new actuarial standards of practice, the importance of robust model validation is coming to the forefront of actuaries’ minds. What was previously a day-two task for many companies is becoming just as important as model development! In this session, you will hear from those that have been deeply involved in building model validation frameworks and tools in responses to regulatory changes GAAP Long Duration Targeted Improvements (“LDTI”) and Principles Based Reserves (“PBR”).

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: This paper is written totally under present Indian conditions, but keeping an eye on the future, when there will be number of insurers, and this model can be applied to any condition where a number of insurers already exist. The purpose of this paper is to attempt to measure, from the point of view of a potential life insurance policyholder, the quality of the insurers and the variability between them so that it will be helpful for potential policyholders to choose their insurers according to their requirements.