Description: The Casualty Actuarial Society, the Society of Actuaries Research Institute, the Society of Actuaries Joint Risk Management, Reinsurance and Financial Reporting Sections are pleased to make available key findings from the 2022 Emerging Risks Survey, the sixteenth in the series. Conducted by Max J. Rudolph of Rudolph Financial Consulting LLC, the survey incorporated a set of Emerging Risks defined by the World Economic Forum as the basis for several of the questions. The survey also included questions related to current risk management topics.

Description: The Society of Actuaries Research Institute’s Catastrophe and Climate Strategic Research Program is pleased to release the following essay addressing current and potential uses for the Actuaries Climate Index.

Description: An overview of the recent Advanced Risk Management Seminar New York, December 2002.

Description: Chairperson’s Corner: SOA Plans New Risk Management Section

Description: This article explains the concept of 'duration' for measuring asset sensitivity to interest rates, looks at different types of duration, and implications of relying on the wrong measure.

Description: Read the April 2020 issue of Risks & Rewards published by the Investment Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Recent reports have expressed concern over historically high levels of corporate indebtedness, with an increasing share of investment-grade debt now in the BBB category, just above speculative-grade. This session will explore trends in the corporate debt market, with a focus on the risks and opportunities for portfolios in the current environment.

Description: Crossword puzzle featured in the September 2020 issue of Risks & Rewards.

Description: This paper introduces actuaries and others to dynamic stochastic general equilibrium (DSGE) models, a type of macroeconomic model. Authored by Kailan Shang, the paper illustrates how DSGE models can be used in economic scenario generation to reflect the cause and effect relationships that occur in the economic system.

Description: This paper focuses on business risks rather than market, credit and operational risks. The author proposes a bottom-up approach for modelling and measuring business risk where the dynamic of the underlying earnings is described in a continuous-time model.