Description: Modeling Approaches and Challenges focuses on approaches to real world simulation and the challenges and considerations in real world simulation. Topics include: A frequency domain approach to build realistic multi-horizon scenarios. (Ortec approach) Cascade models structure linking models for major asset classes and economic variables. (Moody’s approach) Overview of models, calibrations & approaches within the context of different use cases. Deterministic & stochastic approaches. Importance of model re-calibration flexibility. We will also discuss specific insights into considerations and challenges in real world simulation, which include topics like: Setting capital market assumptions and/or calibration targets. Assumptions about correlation and causality. Calibrating the model to capital markets assumptions. Validating the model against capital market assumptions. Role of history, market data and stylized facts. Importance of back testing. Calibrating the model to multiple investment horizons. Inclusion of alterative asset classes such as private equity, infrastructure, and direct real estate. Associated issues of limited data, illiquidity and greater uncertainty about calibration targets.

Description: Recent section activities

Description: The speakers will share the international experience in the annuity market, discuss the annuity puzzle and the influencing factors of annuity supply and demand, and express their views on the annuity market trend under the aging and longevity trend of China's population and longevity risk management of annuity products.

Description: To provide high level information on a book selected and discussed during the December book club session, The Ten Commandments of Risk Leadership. In addition, this article serves as a promotion of the SOA book club as well as the upcoming sessions.

Description: An update on the activities of the JRMS Council.

Description: There is value in a framework that allows a smooth transition from a qualitative assessment to a quantitative analysis as entities mature in their understanding of climate risk. In this report, a case study on climate change impact on home prices is used to illustrate a Bayesian network iterative approach to building a model for scenario analysis.

Description: Summary of recent SOA-sponsored research on Enterprise Risk Management practices as applied to health insurers, self-insured plans, and health finance professionals.

Description: Highlights from the 8th Intercompany Long-Term Care Insurance Conference held in March 2008, consisting of 56 sessions covering a range of long-term care insurance LTCI topics each with a track-specific focus.

Description: Introduces the concept of total risk analysis, a methodology used to answer questions like "what are the chances we will lose more than $1 million"

Description: Joint Risk Management Section chairperson's corner, June 2023