Description: Panelists at this session of the SOA 2003 Washington, DC Spring Meeting discuss identifying the different equity market risk exposures of insurance companies. How insurance companies can measure these exposures and means they can use to manage and hedge these exposures is also discussed.

Description: In session 22 PD of the Montreal Spring Meeting panelists discuss a range of issues relating to equity-indexed annuities EIAs. From the Record of the Society of Actuaries, Vol. 23. Vol 2.

Description: In session 136 PD of the Washington annual Meeting panelists discuss various methods for measuring investment performance and benchmarking investment performance against liabilities. From the Record of the Society of Actuaries, Vol. 23, No. 3.

Description: This panel of session 3PD of the Washington Annual Meeting discusses a range of topics which fall under a new professional label of financial engineer, and how this role relates to the role of the actuary. From the Record of the Society of Actuaries, Vol. 23, No. 3.

Description: The goal of this paper is to dispel the prevailing belief that American-style options cannot be valued efficiently in a simulation model by presenting a general algorithm for such valuation, and thus remove what has been considered a major impediment to the use of simulation models for valuing financial instruments. Discussions of this paper are included.

Description: This is a presentation on computing tight bounds for insurance payments with nonlinear risk. Semi-definite Programming is defined, some examples are presented, and non-linear applications are presented. From Actuarial Research Clearing House, 2012, Vol.1.

Description: This paper develops the theory of the measurement of interest rate risks from its foundations, beginning with the question of which asset values market or book are economically relevant and therefore at risk. From Transactions of Society of Actuaries 1985, Vol. 37.

Description: Hot Topics in Setting Pension Return Assumptions is the third in a series, following Mathematics of Pension Return Assumption and Inflation, focusing on Effects, Forecasts, and Role in Pension Valuations. What time horizon is more appropriate for Capital Market Assumption (CMA) forecasts: mid-term or long-term time horizon, or a blend of both? How do we map the asset classes of a plan's own investment policy to the asset classes of investment forecasters' CMAs? If we use asset-smoothing for valuation assets, should we use market-driven expected returns or smoothed/average versions of them?

Description: While the major market crash subsequent to the widespread contagion of the COVID-19 virus was readily predictable, the rapid recovery and ongoing growth subsequent to it was not. Market dynamics around the recovery resist characterization by most traditional analytical approaches. In examining the circumstances around the emergence of a large retail class of investors, one sees that ingrained human tendencies, particularly optimism bias, have fueled much investor behavior responsible for the recovery. Understanding this makes it possible to predict potential future crashes and develop behavioral interventions for subsequent market recoveries.