Description: Given all the noise surrounding the topic of avian influenza today, how can actuaries distill the mass of information—which is often conflicting—into the critical questions to raise and explore within their own organizations?

Description: The objective of this paper is to explore the issues necessary to develop an integrated model of operational risk (OR) and financial risk (FR) within the framework of enterprise risk management (ERM). From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. This paper reviews a risk management theory that deals with correlated, non-normally distributed factors, and then applies risk management techniques to the U.S. steel industry using futures contract hedging.

Description: The ongoing financial meltdown has cast a shadow over the entire economy, and caused some to question whether the much-hyped movement of enterprise risk management ERM has failed. My answer is, yes, an overarching theme of the credit crisis is a failure of risk management.

Description: As one highly rated financial firm after another blows up, what is the right conclusion to draw about enterprise risk management ERM? Does the financial crisis of 2008-09 demonstrate its criticality, or does it bring the whole concept into disrepute?

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.

Description: The insurance industry hinges on accurate actuarial assumptions. This session explores how insurers can leverage AI/machine learning (ML) to unlock greater accuracy and granularity in assumption setting, while effectively managing risks, implementing strong governance frameworks, and meeting validation expectations from regulators.

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

Description: This is report summarizes the results of a Joint Risk Management Section sponsored study on negative interest rates and the insurance industry.

Description: This article summarizes an emerging risk research project completed by the Joint Risk Management Section. The major categories of risks in the survey were 1. Economic, 2. Environmental, 3. Geopolitical, 4. societal and 5. Technological.