Description: The first of two parts of a panel discussion, by conference call, on the the evolution of Enterprise Risk Management at life insurance companies, and actuaries' roles in that evolution.

Description: In 2020, the Korean insurance regulator, Financial Services Commission (FSC), introduced a coinsurance structure allowing for full risk transfer—including investment risk, interest rate risk, insurance risk, and policyholder lapse risk—as a permitted practice. Expanding use of coinsurance in the Korean insurance market brings a suite of potential benefits to Korean insurance companies including increased financial flexibility, options to improve policyholder protection and shareholder value through optimization of business strategies. As such, FSC’s initiative and intention to introduce coinsurance opportunities to the market is commendable.

Description: In this article, we summarize inflationary factors that may result in a sharp increase in interest rates and implications for life insurer convexity risk exposure, most notably to dynamic policyholder lapsation. We further provide insights into potential ALM strategies to mitigate this convexity risk. Due to the prolonged low-interest rate environment and low minimum interest rate guarantees offered to policyholders, liability convexity is higher than prior historical periods, which results in life insurers’ ALM positions being extremely vulnerable to short-term interest rate spikes. Convexity mismatches cause issues for life insurers under both rising and declining interest rate scenarios. This means that life insurers are not compensated for taking convexity risk and, therefore, convexity matching should always be considered in the asset optimization process. There are mixed signals from policymakers and financial markets regarding potential inflationary and sharply rising interest rate scenarios. The key takeaway is that life insurers are not compensated for taking convexity risk and it is the right time for insurers to review convexity exposure. There are different approaches available to mitigate convexity exposure through rebalancing of asset positions and hedges within each life insurer’s risk limits.

Description: This article was written in June 2008, prior to the financial crisis in the fall of 2008. It discusses the very complicated new world of financial insturments and derivatives and the risks that there may be in light of no strong capital requirements, no control on leverage and the high derivative volume.

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: 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: Discusses the influences that foreign economies have on the U.S. economy and the risks that those influences create for the U.S. life insurance industry.

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: Part 2 of a six-part series on the evolution of risk management continues with this article on dynamic financial analysis.

Description: The introduction and effective application of US GAAP LDTI have increased the scrutiny of those reviewing the updated financial results. That is because LDTI has resulted in significant changes in actuarial reserving and deferred acquisition cost (DAC) models for long-duration contracts, including significant changes to data, assumptions and required disclosures. In light of the changes, greater reliance has been put on companies’ model risk management (MRM) teams and model validations to assess the conceptual soundness and accuracy of their companies’ actuarial models and to assess that the underlying data and process utilized are suitable and appropriate. This article covers a brief background on model validation, walk through a sample LDTI-focused model validation framework/test plan, then provide insights on common LDTI-related validation observations based on the authors' prior validation experience.