Description: Spreadsheet with documentation for exhibits to the May 2007 report: The Potential Impact of Pandemic Influenza on the U.S. Life insurance Industry

Description: This paper reports on the findings of a working group established in 1999 by the SOA's Finance Practice Area to look at how the insurance industry measures and monitors risk through risk position reporting. Also the working group established industry standard practices in risk position reporting and reported on a number of areas for possible improvement in such reporting.

Description: The COVID-19 pandemic infection has greatly affected the economy, resulting in volatile market conditions. Because market conditions greatly impact the value of insurance company’s assets and liabilities, the fourth survey in this series focused on best practices around asset and liability management (ALM). The survey was directed at actuaries, investment managers and risk managers directly involved in assessing the impact of recent events on ALM. Responses to the survey were collected between April 22-28, 2020. Thirty-two companies responded to the survey.

Description: ALM #2 Survey Questions

Description: This paper provides a summary of the report, Back Testing of Investment Performance by Asset Class.

Description: The paper discussed the reasons for a stock company's mutualization detail the mutualization process itself consider actuarial, legal, and other problems that arise and review a recent case history.

Description: The theme of this paper relates to solving portfolio selection problems using linear programming. The authors extend the linear optimization framework for Conditional Value-at-Risk-based portfolio selection problems to optimization over a more general class of risk measure known as the class of Coherent Distortion Risk Measure. From Actuarial Research Clearing House, 2012 Vol. 1.

Description: This report covers credit risk loss experience during the period 2003 through 2015 on non-Rule 144A private placement securities (and, with limited exceptions, some specific types of Rule 144A bonds) held by participating companies of the life insurance industry.

Description: This case study is intended to educate insurance professionals on historical insurer impairments and insolvencies and possible future prevention indicators.

Description: The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report that develops a framework for applying deep learning and reinforcement learning techniques to optimal dynamic strategic asset allocation for Liability Driven Investment (LDI).