Description: Call For Essays: Managing Extreme Event Risk-Reinsurance Tools and Solutions

Description: RFP for Alternative Investments in Asia Pacific Markets

Description: This research will provide detailed insights into the risk factors that drive U.S. public-sector pension plan mortality experience. The public-sector pension plan mortality experience collected for this research will be aggregated, de-identified, and made available for further analysis. In addition, mortality tables based on this public-sector pension plan experience will be developed for use in the valuation and risk management of public-sector pension plans.

Description: The Research Executive Committee (REC) of the SOA Research Institute oversees the funding of the Emerging Issues Pool. This key source of research funding is used to sponsor projects that are beneficial to the entire profession, across practice area boundaries that may require funding levels beyond the normal annual funding budgets of research committees and sections. The REC is issuing this Request for Proposals (RFP) to fulfill the strategic goals of the organization through the use of this pool for funding new projects.

Description: The Society of Actuaries (“SOA”) Research Institute is the research arm of the SOA, providing objective, data-driven research that brings together tried and true practices and future-focused approaches to address societal challenges and business needs. The Institute provides trusted knowledge, extensive experience and new technologies to help effectively identify, predict and manage risks.

Description: On this page, you'll find links to studies, tables, reports and documents on group and individual life insurance plans, as well as mortality and longevity stats as they relate to life insurance. Available resources include a relative risk tool and mortality and other rate tables.

Description: The SOA offers emerging research projects and reports on risk management, including research on predictive analytics, climate risk and general insurance risk.

Description: The Professionalism in Practice: Precept 10 e-course focuses specifically on the professional obligations to perform actuarial services with courtesy and respect, in cooperation with stakeholders.

Description: The health insurance industry has historically used several factors to develop premium rates. Many of these, e.g. gender rating, have been largely eliminated from health insurance rating practices by regulations as the Patient Protection and Affordable Care Act (ACA) because they were determined as inequitable. However, several other factors still remain as differentiators in premium rates charged to individuals and groups. In conjunction with the SOA, researchers studied whether there could be ‘ghost’ rating factors, like race, ethnicity, or socioeconomic status, that are inherently included in some of these remaining allowable factors. Review results and opportunities for future research. By attending this session, you will be challenged to think about traditional rating factors in a different way. Rather than focusing on whether certain factors are sound based on the underlying claims cost, this session will focus on whether or not these factors are impacting certain socioeconomic or racial/ethnic groups disparately.

Description: Many of us take our good health for granted. Sure, we may face some challenges such as taking time off from work or a large cost share, but at the end of the day we know we will get the health services we need. There are, however, millions of Americans who cannot take this opportunity for granted. In most cases, that health insecurity is linked to social determinants of health (SDOH), like income level and location. Discuss the role actuaries can play in addressing these issues and uncover an introduction to the data and tools you can use to get started. After this session, you will be able to: • Describe the impact SDOH have on the health of the U.S. population. • Define the current infrastructure in place to address the issues. • Explain potential solutions to the problem. • Illustrate the available tools and data need to analyze the problem.