Description: Retirement income can be provided by Social Security, employer-provided pension plans, personal savings and family support. With the growth of Social Security and employer-provided pensions, and the decline in birth rates and marriage rates, the role of families in the U.S. retirement system has declined.

Description: Oliver Wyman surveyed the life insurance industry in 2Q 2018 on emerging life PBR practices. Key takeaways and a deeper dive on select practices are provided.

Description: Discussion and Opinion on how randomness affects measurement of provider contracting risk-sharing agreements

Description: Enterprise Risk Management is often thought to be synonymous with managing an insurance company toward financial objectives with a focus on insurance-specific risks. Some might argue though that operational risks are the crux of all risks confronted by an insurance company and ultimately drive the company’s outcomes.Operational risk is the risk of impact on financial outcomes due to operational events, involving internal systems, personnel, procedures or controls, and also external events. Operational risk exists in all business activities, covering fraud, human error, accounting errors, legal actions and system failures. All of these activities could occur during the course of conducting day-to-day business operations. Additionally, insurance executives must consider the pace of change in the external environment and potential impacts on their business. This presentation is focused on operational risks, current and emerging, faced by health insurance companies.

Description: Mandatory implementation of life principle-based reserves (PBR) is just around the corner, and there is no shortage of work to do, as most products have yet to be moved to PBR. Oliver Wyman recently completed its 2019 PBR survey, with more than 40 participants covering 85 percent of the individual life market, including 23 of the top 25 life writers and five reinsurers. This article will expand on the key survey findings including implementation trends, analysis to date and recent discussions on the treatment of non-guaranteed reinsurance.

Description: A new wave of life insurance buyers is finally here - but are we ready? In this article, Richard De Sousa shares proprietary research about the Millenial generation, its beliefs related to life insurance, and its preferences when it comes to learning about, purchasing, and engaging with life insurance products, advisors and companies. Also explored is the foundational role that technology and wellness play in driving the kind of experience that will attract millenial buyers. After reading this article, you will better understand the characteristics of this new generation as well as the innovative companies that are targeting them, and learn about different and novel ways to better engage with customers and enhance the value of your own products and services.

Description: This paper identifies and discusses issues affecting retirees’ abilities to successfully navigate medical insurance choices after their employer retiree medical insurance group benefit plan has been terminated and replaced by an outsourced health reimbursement account (HRA) providing accessibility to a stipend through eligible medical insurance claims submissions.

Description: During the2019 InsureTech Connect conference in Las Vegas, the Society of Actuaries (SOA) and Plug and Play today announced the two organizations are nearing an agreement on professional development offerings and learning opportunities. The SOA and Plug and Play plan to work together on a variety of InsurTech-focused events and projects for the SOA membership, insurance industry and technology sector.

Description: Distribution’s Bird’s-Eye View of the Life Combo Marketplace

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy