Description: Big data, predictive analytics, machine learning and AI will likely transform the insurance market and the actuarial profession. The actuarial profession is seeing changes many markets, including health and property and casualty. This article describes these trends and provides an introduction into what companies and the Society of Actuaries (SOA) are doing to adapt and capitalize on these trends.

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: Actuary Dave Dillon describes his role volunteering his time as a teacher in higher education, including the rewards and challenges that teaching offers. He discusses the importance of being attentive to his audience’s pre-existing knowledge and adapting his presentations accordingly. His work as a teacher typically encompasses three distinct domains: 1) acquainting young students with the actuarial profession, 2) educating non-actuaries about public policy issues related to health insurance (including the Affordable Care Act), and 3) instructing current actuaries on advanced methodologies and principles within the field. Recently he taught a health insurance course for actuarial science graduate students at Georgia State University and lectured at Boise State University’s master's program in Population & Health Systems Management. In every teaching and mentoring opportunity, actuaries can contribute to the expansion and prosperity of the profession and are encouraged to pursue these endeavors.

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.