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: 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 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: 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: 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: 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: This paper develops the theory of the measurement of interest rate risks from its foundations, beginning with the question of which asset values market or book are economically relevant and therefore at risk. From Transactions of Society of Actuaries 1985, Vol. 37.

Description: This is a presentation on computing tight bounds for insurance payments with nonlinear risk. Semi-definite Programming is defined, some examples are presented, and non-linear applications are presented. From Actuarial Research Clearing House, 2012, Vol.1.

Description: This paper presents a formula for calculating the expected rate of return on shareholders' equity when an insurance company raises capital by issuing subordinated indebtedness. The ROE formula is also applicable to the case of raising capital by issuing nonconvertible preferred shares. From Actuarial Research Clearing House 1991, VOL. 2 .