Description: Discover the rapidly developing health and wellness industry during the Use of Health and Wellness Data in L&H Risk Assessment webcast. Our discussion includes the maximization of data usage through several different means, including current risk selection, creation of a dynamic ongoing assessment offering or substitution of traditional underwriting information to shorten the underwriting process. Come explore these different approaches as they affect the health and wellness industry. We will express the importance of a constantly changing data usage environment in order to better prepare insurers to maximize their data and drive health and wellness forward.

Description: This document is a Request for Proposals (RFP) issued by the SOA Research Institute focusing on advancing catastrophe modeling and sustainability in Asia, particularly in ASEAN markets. It outlines research objectives, proposal requirements, selection process, submission details, and other pertinent information for interested researchers.

Description: There is widespread acknowledgement in the insurance industry that cyber risk remains an untamed and seemingly ever-growing beast. It is also unique in the family of risk exposures faced by insurers in that it is both an emerging risk and an emerged risk. What are companies doing to keep on top of this risk? What are actuaries doing to contribute to cyber risk management, and what can we learn from other industries and disciplines?

Description: This paper examines the risks involved with equity investing for pension funds. From Transactions of Society of Actuaries 1959, Vol. 11, No. 31.

Description: This abstract describes a paper that investigates model uncertainty arising from different ways of treating the operational loss data collection threshold.

Description: This article discusses value at risk, VaR, and VaR modeling of the bank's portfolios that would recognize diversity and hedging. This article also covers the differences between classical VaR and the longer horizons required by the insurance industry and the feasibility of extending VaR to the insurance industry.

Description: This article, with some humor, describes a movement known as “econophysics” of physicists modeling economic systems, including capital markets, using techniques and concepts developed in studying the out-of-equilibrium dynamics of complex systems. A version of this article appeared in The Actuary UK in August 2004. Reprinted with permission.

Description: The article discusses the investment models of The Mutual Pension Insurance Company Ilmarinen, one of the companies managing the statutory employment pension in Finland. The parts are: financial time series data management, time series analysis programs, investment simulation models and portfolio optimization models.

Description: This tool created graphs of Google's mobility Data. This version of the tool contains global, country-level data through July 31, 2020

Description: This is an Excel workbook that can be used as a tool for health insurance companies to model their potential risk exposure from an influenza pandemic. It is based on a model developed for a Society of Actuaries study examining the potential implications of a pandemic on the U.S. health insurance industry. The spreadsheet is saved with many of the same assumptions used in this research and reproduces the results of the exhibits contained in the June 2010 report, 'Potential Impact of Pandemic Influenza on the U.S. Health Insurance Industry.'