Description: What is bias? How do you recognize it? What to do if you see it? This webcast will help respond to these questions and provide initial guidance on how to deal with these thorny issues. Please join us with your questions and we will have a nice conversation.

Description: When it comes to record linkage, the challenge is bringing together the right information from several sources. Here's how to make things match up.

Description: Research report sponsored by SOA to model and compare projected costs of different proposals for a Medicare prescription drug coverage plan. 3 types of costs are studied: net benefit cost estimates per member per month, continuance table data, and projected annual costs to the government over 10 years for two selected plan designs.

Description: This paper discusses the new Basel Accord for Capital Adequacy which refines the minimum capital requirements for banks. The seesion looks at the analysis of credit and market risks with the emphasis on to what extent the collection, storage and evaluation of data calculated with internal approaches is dispensable by the use of Basel II-data for bank banagement.

Description: The SOA launched the Actuarial Innovation & Technology Strategic Research Program earlier this year, focusing on projects in which technology is being used in actuarial work. The presenters will highlight reports from the program including a review of the Top Actuarial Technologies of 2019, the growing use of cloud computing and its impact on furthering and deepening actuarial analyses, and the growing innovative approaches using non-traditional data sources for risk selection and segmentation and its intersection with industry regulation. An overview of this new SOA research initiative and key findings from recently released reports will be covered.

Description: This actually is a copy of an appendix of a research paper sponsored by the SOA Committee on Finance Research. You can read the entire research paper: “Lapse Modeling for the Post-Level Period—a Practical Application of Predictive Modeling” at the SOA site https://www.soa.org/Research/Research-Projects/Finance-Investment/lapse-2015-modeling-post-level/#sthash.W9lERSls.dpbs, but you can read this valuable appendix copied here in this issue to see how to build a PM step-by-step using your data and the R programming language. We thank Richard Xu, Dihui Lai, Minyu Cao, Scott Rushing, and Tim Rozar for their excellent paper and the Society of Actuaries, for the permission to reprint this portion of the paper.

Description: How the speed of change is accelerating and how we could react to this as a profession.

Description: The following case study walks through the steps of a predictive modeling exercise to illustrate one way analytics can streamline the underwriting paradigm.