Description: This project pertained to the development of anew Actuarial Science Learning Community model, involving four types of students' engagement: academic coursework, residential life, research, and professional development. The model provided students an immersive exposure to Data Science from the Actuarial perspective, which will result in Actuarial students greatly expanding their skill set and future job opportunities, at the intersection of Actuarial Science and Data Science.

Description: Enterprise risk management (ERM) is an orderly or guided conduct of an enterprise to deal with risks. For insurers, ERM requires full support and commitment of the senior management. ERM in the U.S. and Canada has evolved over the years into a complex ecosystem.

Description: The Society of Actuaries Research Institute’s Aging and Retirement Strategic Research Program is pleased to make available a brief report on the impact of COVID-19 on financial stress.

Description: In the United States, individuals needing long-term services and supports (LTSS) access care, utilize services, and pay for their services in various ways. The authors explore how the need for, utilization of and payment for long-term services and supports differ in the U.S. by population cohorts. Their primary focus is disparity by race and ethnicity, but they also consider variations by geography, family structure, age, sex, gender and other socioeconomic factors.

Description: This article series highlights the growing impact of climate change on health, property, and financial institutions, emphasizing the need for actuaries and risk analysts to evaluate and adapt their practices to manage evolving climate-related risks.

Description: In May, 2001, the Casualty Actuarial Society (CAS) and the Society of Actuaries (SOA) jointly issued a request for proposals on the research topic “Modeling of Economic Series Coordinated with Interest Rate Scenarios.” The objectives of this request were to develop a research relationship with selected persons to investigate this topic; produce a literature review of work previously done in the area of economic scenario modeling; determine appropriate data sources and methodologies to enhance economic modeling efforts relevant to the actuarial profession; and produce a working model of economic series, coordinated with interest rates, that could be made public and used by actuaries via the CAS / SOA websites to project future economic scenarios. Categories of economic series to be modeled included interest rates, equity price levels, inflation rates, unemployment rates, and real estate price levels.

Description: Asset/Liability Watch February, 2016

Description: This report presents the results of a market research study to explore untapped opportunities for actuaries in the health care industry.

Description: The Stochastic Volatility, SV, model is used for capturing the empirical properties of financial time series. This paper overviews those properties and compares the SV model with the heavy-tailed error distribution Student t-distribution and the SV model with the normal error distribution. The Simulated Maximum Likelihood, SML, method is applied to estimate the parameters and the latent volatility.