Description: New International Financial Reporting Standards promise to trigger fundamental changes in the role and significance of actuarial models for insurers.

Description: Recent and pending changes in financial reporting standards and regulations such as IFRS 17 and US GAAP Targeted Improvements are ramping up the performance pressures on actuarial models. New infrastructure technology in the cloud is driving modeling options that may well help actuaries successfully and economically meet these challenges and unlock even greater transformational change.

Description: Profile of the new SOA Modeling Section.

Description: This article addresses the concern that while risk assessment models are supposed to help identify and reduce risk, they can be a source of risk themselves. A new report released by the Canadian Institute of Actuaries in August 2008 helps address that potential problem by providing useful guidance to actuaries who are charged with designing, implementing and using advanced models.

Description: Asset modeling is becoming increasingly complex, detailed and important to insurance company financial reporting and risk management. This article describes the author's personal perspective on the current state of asset modeling in insurance companies and the future challenges facing actuaries who develop, maintain and use ALM models.

Description: This session at the 1989 Valuation Actuary Symposium looks at issues of the AIDS/HIV epidemic including the extra mortality, reserving options, a proposed actuarial standard of practice, and also covers the Canadian perspective.

Description: From the 1986 Valuation Actuary Symposium, held in Washington DC in October 1986 Valuation Actuary Symposium Proceedings is the Canadian session on a report of the status of the Solvency Committee Report.

Description: The Financial Reporting and Product Development Sections, along with the Committee on Life Insurance Research are pleased to make the following report available. Prepared by Bruce Rosner of Ernst & Young, the report summarizes the findings of a stochastic modeling efficiency study. With the help of twelve life insurance and annuity companies, the study tested six techniques for reducing the number of model points or scenarios required to achieve a given level of precision in stochastic actuarial modeling.

Description: Full version of Risk Management, March 2007, Issue No. 10.

Description: Full French version of Risk Management, March 2007, Issue No. 2007.