Description: A critical step in valuing a company for the purpose of financial reporting is the computation of the market value of economic surplus (MVES). This article provides a novel approach to the valuation of MVES that is stable and reasonably immune to “market noise.” Current approaches to the calculation of economic surplus of an insurance company generally define such surplus as the market value of the assets (MVA) supporting the liabilities less the market value of liabilities (MVL). While MVA is observable in the market, MVL is typically computed directly, without regard to the underlying supporting assets. Subtracting MVL from any value of assets that changes with market movements results in an unstable surplus. Consequently, a surplus that is not fully reflective of market sentiment has been rejected by many. This same approach is further used in the calculation of market consistent embedded value (MCEV) when a balance sheet approach is used .

Description: This Chairperson's Corner article discusses the SOA becoming the pre-eminent risk management profession. The Chairman's message is that actuaries have the inside track on risk management positions in the insurance industry and have a basis for competing for similar positions in the broader financial services industry.

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: How insurers can include a liquidity score and liquidity stress scenarios as part of their asset liability management (ALM) protocol.

Description: This article will examine four approaches under two different methods (eight in total) used to combat the non-additivity of key rates and will compare them under a number of rate environments.

Description: There will be inflection points in the value of an instrument when interest rates change. These inflection points could materially impact the approximation of value change using ALM metrics. In this part of the seven-part series, I will highlight: • How to identify the inflection points; • the range of rate changes where ALM metrics may be relied upon i.e., the “validity” range, outside of which recalculation of the ALM metrics is required and the potential that one needs to rebalance the portfolio; • a technique to improve on the approximation of value change beyond the validity range; and • a technique to convert non-linear change on the yield curve to be used with duration and convexity.

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

Description: The author makes 10 predictions of how risk management will change over the next decade.

Description: To address non-parallel movement in the interest rates the concept of key-rate duration was introduced in mid-'80s by Tom Ho. I will define certain key rate metrics, their variation used in the industry, how to calculate them, and an existing industry issue with how they are used. Additionally, I propose a novel technique to calculate key rates to mitigate the problem faced in the industry

Description: To address non-parallel movement in the interest rates the concept of key-rate duration was introduced in mid-'80s by Tom Ho. I will define certain key rate metrics, their variation used in the industry, how to calculate them, and an existing industry issue with how they are used. Additionally, I propose a novel technique to calculate key rates to mitigate the problem faced in the industry