Description: Summary of methods and standards to use to achieve an efficient, maintainable model

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: Spark offers a way to get some dramatic speed and scalability advantages over the Map-reduce methodology whenever you are doing iterative data processing and particularly when you want interactive data analysis capability. Find out why “lazy execution” can be a desirable characteristic when dealing with big data.

Description: This article walks through the process of building a cluster model using off-the-shelf software.

Description: A discussion of the limitations of the use of spreadsheets versus formal programs in actuarial processes. including limited documentation, inability to incorporate new features without significant coding and subtle bugs that may appear.

Description: At this session, experts will provide an overview of current statutory valuation issues pertaining to life and annuity products. The focus is on activities of the American Academy of Actuaries relative to principle-based approaches, but other matters will be covered, including the status of the NAIC valuation manual, life risk-based capital, developments at the NAIC affecting life insurance companies, and practice issues for appointed actuaries.

Description: This article describes how to model variable annuities using a GPU along with some of the stumbling blocks.

Description: Products that serve consumers are increasingly complex, creating a real need to help management understand risk exposure in real time. The root of the dilemma is that modeling the entire population, which is feasible with sophisticated computing technology, simply does not offer a practical response time. New modeling techniques such as replicated stratified sampling may help executives better understand risk.

Description: The article explores impact of resetting cap vs static cap choice for the GLWB rider for a Fixed Index Annuity for a Point to Point. Moreover, analysis of a Monthly Sum Cap is provided showing impacts of particular choices of market models (e.g. Black, Heston, Bates) used to price this deal.

Description: Comparison of open code and closed code actuarial modeling systems, focusing on advantages and disadvantages of each group.