Description: Life and annuity markets around the world have seen increasingly complex investment-combined products, including universal life, fixed indexed annuities, variable annuities with a wide variety of guaranteed benefits, indexed variable annuities, etc. Insurance companies are facing unprecedented exposure to financial risks in addition to traditional mortality and longevity risks. The risk assessment and modeling for such complex designs by conventional methods often focus heavily on their market competitiveness and profitability. However, there seems to be a lack of quantifiable and systematic approach to assess investment risks associated with investment combined products. The objective of the proposed work is to develop a framework for quantifying and analyzing various forms of contractual designs and showcase different techniques to assess the trade-off between competitive contractual designs and their practical implications with regard to the difficulty of risk management.

Description: This article discusses the publication of the “Encyclopedia of Quantitative Risk Assessment”

Description: This article provides a general introduction to JRI, including details about the types of research areas it highlights, an explanation of its prior review policy, current calls for papers, and its social media efforts.

Description: This presentation proposes a solution to the student actuarial paradox “I mastered the syllabus but failed the exam,” by utilizing the two-dimensional syllabus vehicle which pedagogically focuses on the two dimensions of content and problem difficulty. This presentation advocates the PMR characterization of three levels of problems difficulty: Plug-ins (easy), Monkey-wrench (intermediate), and Research-type(hard) questions. PMR was developed by examining difficulty levels in SOA exams, and problems of various software vendors. The author's students routinely score high on the SOA FM exam; it is hoped that these methods will assist other instructors in their quest for good pedagogy. Very briefly: “Plug-ins,” refer to multi-part problems, for example, calculating the price of an annuity that is first increasing and then level; “Monkey-wrench” problems specifically refer to plug-in multi-part problems where one component is a monkey-wrench, an issue the candidate has not previously encountered. It might be a non-typical modeling or it might be a non-typical algebraic simplification or it might be an unexpected integration of distinct modules in a manner that the candidate has not yet seen. “Research-type questions” refer to problems requiring some type of experimentation for example, looking at initial cases, seeing a pattern and then applying methods

Description: The Drake Risk and Insurance Workshop on Catastrophe Risk took place virtually on February 19, 2021, hosted by the School of Actuarial Science & Risk Management in the College of Business and Public Administration at Drake University. The purpose of this article is to share with the actuarial science community some experience in organizing this event amidst the COVID-19 pandemic.

Description: The Risks Analytics Symposium 2022: Actuarial Perspectives on Climate Change was a hybrid half-day event where university students, as well as academics and industry professionals, had the opportunity to network and view live discussion panels in-person at UIUC or virtually through Zoom.

Description: Feature article describing the content and results of an introductory seminar on actuarial science presented at the University of Cincinnati.