Description: This paper describes a new approach of calculating duration by taking a portfolio perspective utilizing the idea of internal rate of return. It is presumed the user has a model for projecting cash flows under different interest rate scenarios and knows the current market value of the portfolio. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This paper analyzes the U. S. Treasury monthly interest rates from 1953 to 1992, and the daily rates from 1981 to 1992 for various forms of chaotic behavior. The primary analysis was in determining the Burst Exponent by the use of Rescaled Range Analysis. This paper also discusses other possible uses of Fractional Brownian Motion in Finance Theory, Macroeconomics, and Actuarial Science. From Actuarial Research Clearing House 1994 VOL. 1.

Description: The SOA is pleased to make available a report updating the 2012 risk assessment performed by Porteous et al. The report also provided an economic capital analysis for a stylized US plan with the same member profile and the USS provisions modified to reflect a typical US DB plan.

Description: The Society of Actuaries Research Institute’s Catastrophe and Climate Strategic Research Program is pleased to release two essays addressing sustainability and sustainable development goals.

Description: The purpose of this paper is to provide a method for calculating special contingency reserves for investment losses. The method is derived by first building a stochastic investment model and then utilizing its probabilistic structure. From Transactions of Society of Actuaries 1980, Vol. 32.

Description: This paper presents a theoretical approach to the valuation of options on bonds, a computer model for valuing such options, an application of options theory to evaluate the risk of call options on corporate bonds, and an application of options theory to price the risk of deposit antiselection on certain GICs sold to employee savings plans. From Transactions of Society of Actuaries 1985, Vol. 37.

Description: The Stochastic Volatility, SV, model is used for capturing the empirical properties of financial time series. This paper overviews those properties and compares the SV model with the heavy-tailed error distribution Student t-distribution and the SV model with the normal error distribution. The Simulated Maximum Likelihood, SML, method is applied to estimate the parameters and the latent volatility.

Description: The method described in this paper is to allocate surplus to each category of business and reserves in proportion to its estimated effect on an insurer's surplus variation. Risk load for each category of business is then selected so that the return on allocated surplus for each category is equal to the overall return on surplus. From Actuarial Research Clearing House 1993, VOL. 3.

Description: This is an abstract of the paper entitled 'Axioms for the Valuation of Payment Streams: A Topological Vector Space Approach' by Approach by S. David Promislow. From Actuarial Research Clearing House, 1994, Vol. 1

Description: The recent financial crisis created incentives to review investment practices and see what was done well and what could be improved for the future. Looking inward at insurer investment practices, background trend information was generated and a survey developed for insurers to share their thoughts. The research continued with conversations in private and public forums, where initial conclusions were expanded.