Description: Read about Recent Publications in Risk Management.

Description: Global megatrends in technology are disrupting the life insurance industry.

Description: A discussion of adjustments to the issue and underwriting process to speed up the process in order to succeed with bank distribution of insurance products.

Description: The article summarizes 2013 survey results of company assumptions for term products in the post-level period. The focus is on product design, shock lapse assumptions, and mortality deterioration assumptions. This article features highlights from the larger SOA-sponsored research project on this topic published in 2013 that compiled end-of-2012 assumption data from 41 companies. This content may prove useful to product development actuaries as they consider their current post-level term assumptions.

Description: The SOA concluded surveys that examined the actuarial profession from the perspectives of SOA members and employers. This report presents major conclusions based on the results of these surveys. The analysis has two main objectives: • To compare actuaries’ and employers’ views of actuarial performance on skills that are valuable in today’s market. • To compare actuaries’ and employers’ images of the actuarial profession.

Description: How does mortality experience impact earnings under the new GAAP financial framework? This article discusses how to isolate key components from financial models related to decrements, as well as how to handle the changes in the financial reporting landscape including: the aggregation of insurance policies into cohorts, dynamic reserving, and the limitations imposed by caps and floors. Looking at the components of earnings, such as the present value of benefits, expenses, and premiums, and how these elements interact is critical to form a comprehensive earnings story.

Description: This is the second part of a 2 part series on Real options analysis (ROA). This article looks into the limitations of using financial option theory when doing real options analysis with projects that are long-dated and uncertain, such as: 1. First-degree homogeneity, 2. Uncertainty must derive from Brownian motion, and 3. Risk neutrality.

Description: We explore the question of how an actuary–artificial intelligence collaboration might look in the future and how actuaries should be trained to best leverage this technology. It felt fitting to accomplish this through a conversation with an AI system, as AI involvement is warranted to ground the analysis in the technology’s true capabilities.

Description: Session 2D: Thinking Local - The ‘Oh Wows’, and 'Oh Nos' of Medicare Advantage for Regional Plans