Description: This session explores where financial engineering is applied, who is “leading the charge,” and what are the current and future roles of actuaries. From the Record of the Society of Actuaries, Volume 27, No. 2, Session 55PD of the Toronto Spring Meeting.

Description: The second part of a panel discussion on the changes ERM is creating in the actuarial and business worlds. This first part of this discussion appeared in the December/January issue of The Actuary. Topics covered included: the difference between ERM now and risk management of the past, the transformation of the CRO role due to ERM and more. You can find the first part of this series on the SOA Web site at: www. soa.org, Research & Publications, The Actuary Magazine, December 2005, ERM's Wave of Change: Part I.

Description: The article provides a summary of the Drake Risk & Opportunity Forum held on October 21, 2022. The forum was a hybrid conference that attracted more than 200 attendees from 17 states, two countries, 48 employers, and five universities. Following an introduction by the Zimpleman College of Business Dean, the forum held six sessions. First was an insurance company CRO panel followed by a panel of non-insurance company CROs. Gary Zhu shared his outlook for interest rates and capital markets. The fourth panel discussed insurance capital models. The fifth panel discussed environmental, social, and governance (ESG) criteria when building insurance company investment portfolios. The final session of the day was a discussion about the NAIC, how they operate, and their priorities for the coming year.

Description: 1997 Valuation Actuary Symposium, Session 35 discusses ALM and how company management needs to be involved and understand the value of ALM.

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy

Description: The 2024 Dangerous Risks survey shows respondents react to recent increases in "old favorite" risks as technology evolves and the environment moves away from the pandemic.

Description: Risk Management and Actuaries—SOA Risk Management Task Force Update

Description: In this article, the author compares sailing to risk management.

Description: This article reports on the introduction of courses in Enterprise Risk Management to a postgraduate university program in Australia.

Description: This is a critical juncture to build insurance mechanisms into the architecture of the agreement that will emerge in Copenhagen this year.