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: 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: The Society of Actuaries (SOA) has partnered with LIMRA and the American Council of Life Insurers (ACLI) to conduct a series of ‘sprint’ surveys on the COVID-19 pandemic and its potential impacts on the insurance industry. Because market conditions greatly impact the value of insurance companies’ assets and liabilities, one of these “sprint” surveys 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 August 17-31, 2020. Twenty-six companies responded to the survey.

Description: This report updates the Canadian Mortality Data through 2021 in the Human Mortality Database and Canadian Human Mortality Database, including methodology, data sources, and internal consistency checks.

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).

Description: The Society of Actuaries’ Committee on Finance Research and Joint Risk Management Section Research Committee are pleased to make available a research report developing a framework for quantifying and analyzing various forms of contractual designs.

Description: ALM #2 Survey Questions

Description: The Society of Actuaries’ Committee on Finance Research is pleased to make available a research report covering the extent to which investment sectors have been contagiously affected by major disasters.

Description: The Society of Actuaries’ Investment Section and Committee on Finance Research and Investment Section is pleased to make available a research report using a comprehensive attribution analysis to identify meaningful relationships between market volatility and potential causes. Also included for educational purposes are the open-source codes used to perform the analysis.

Description: Presentation of some of the factors to be considered, and approaches which might be employed, in valuing a life insurance company.