Description: This article is part of a 2 part series on real options analysis (ROA). Before you can understand the limitations of ROA, you must first understand the difference between risk and uncertainty. This article goes into detail explaining the vast differences between the two phenomena.

Description: Statistics were invented to describe heterogeneity and are now applied to tackle alea. It may not be appropriate. Let's clarify their field of relevance.

Description: The author uses football to demonstrate the axiom of downside risk, and how it can be applied in business situations when considering whether to use a conservative or aggressive approach.

Description: After a very challenging year, actuaries need to look back and consider the lessons learned. Have we returned to where we were, or have we moved on to a new norm? What does the COVID-19 pandemic market data tell us that will help us to prepare for future global crises?

Description: This is the second part of a 2 part series on Real options analysis (ROA). This article looks into the limitations of using financial option theory when doing real options analysis with projects that are long-dated and uncertain, such as: 1. First-degree homogeneity, 2. Uncertainty must derive from Brownian motion, and 3. Risk neutrality.

Description: An overview of SOA annual meeting session 25 panel discussion: completing the hedge.

Description: In this article we take a look at some of the requirements practitioners will need to consider as they implement a framework for managing the long‑term implications of C-ROSS as they pursue their capital efficiency agenda.

Description: “Investments in securities are traditionally evaluated on a standalone basis by using ratios that summarize the relation¬ship between anticipated risks and rewards. These ratios could also be used to better quantify the relationship between the standalone risks and rewards of life and annuity products and thus enhance the capital allocation process. These ratios will be discussed and critiqued.” The article describes how “the . . . ratios can help tie modeled product risks to modeled rewards.”

Description: The article introduces a cashflow matching strategic asset allocation (SAA) framework for life insurers. Given the recent shift to higher interest rates after two decades of persistent low interest rates, insurers have an opportunity to enhance their asset liability management by rebalancing asset portfolios to narrow duration gaps and attain higher risk-adjusted yields. The framework aims to align investment objectives with economic, regulatory, and rating agency requirements. It prioritizes cashflow matching as the primary optimization goal and incorporates security-level asset information to assist portfolio managers in executing SAA seamlessly. The article highlights the benefits of the cashflow matching SAA framework, including greater attention to cashflow matching, unbiased results, readily executable strategies, and stable economic reserves. A case study is included to demonstrate the effectiveness of the framework in improving risk-adjusted return and cashflow matching for a representative liability block.

Description: Article introducing a new department in the newsletter by the section's SOA staff partner.