Description: View Sustained Low Interest Rate Environment: Can it Continue? Why it Matters

Description: These essays encourage actuaries to share how they incorporate financial risks of environmental sustainability into their work for employers or clients.

Description: 1999 SOA Annual Meeting, San Francisco. The panel discussed how the actuarial profession may contribute to the quantification and management of various types of risks that insurers and other financial service providers assume.

Description: Full version of THE FINANCIAL REPORTER, May 2004, Issue No. 57

Description: 1996 Valuation Actuary Symposium Proceedings, Session 11, discusses health financial projections and projection modeling in general.

Description: This is a research report describing the results of an Emerging Risks Survey that asked members of the International Network of Actuarial Risk Managers [INARM] about emerging risks that will have the greatest impact over the next few years. They were also asked by modeling techniques and future spending on risk management.

Description: Full version of Risks and Rewards Newsletter, February 2003, Issue No. 41.

Description: This report introduces actuaries and risk managers in the insurance and pension industries to current literature discussing growth rates in the past and future expectations.

Description: This call for essays where encourages authors to identify data sets or historical patterns of experience that are not predictive because something has changed.

Description: The monograph walks the reader through the hindsight, insight and foresight building process while discussing theoretical and practical issues supporting the building of valid forecasts with provenance for each of these schema examples. That is, the analyst can document the iterative ‘profiling change processes’ mindscape and landscape elements by which and through which the successful forecast is built. This kind of forecast construction ameliorates the ‘black box’ problem of generating pattern output without an understanding of the pattern’s creation or contextual meaning that is often seen when using other methods, particularly machine learning and artificial intelligence. This issue is discussed, referencing appropriate thought leaders.