Description: Several previous papers treat the rate of interest as a stochastic process in the determination of values of insurances and annuity functions. None of these papers consider the current interest rate as a starting point in the model. In this paper, autoregressive interest models, which are conditional upon current and past interest rates, are developed. It is shown how these models may be applied to the evaluation of moments of interest, insurance and annuity functions. Numerical results are also given.

Description: In computing actuarial measurements, such as the moments of present value functions for insurance and annuities, the stochastic nature of the interest rate is commonly ignored. This paper treats the interest rate as a normal random variable and presents general formulas for the mean and variance of the present value function for insurance and annuities. An example demonstrating these formulas is presented. It is found that taking the force of interest to be fixed at a mean value results in slightly underestimating the actuarial present value along with the variance for both insurance and annuities.

Description: The research investigates the challenges associated with determining a “fair value” assessment for embedded options in two product types and incorporates the process into product pricing and liability valuation

Description: This paper shows how the results of copula based capital aggregation models can always be locally approximated by relatively simple formulas. The paper defines the concepts of diversification factor and tail correlation matrix and describes methods for estimating these quantities from simulated data. We show how these ideas can be put into practice as both computational shortcuts and presentation tools.

Description: This paper discusses some of the models used to quantify risk, note some areas where improvements in standard methods are needed, and in some cases suggest alternative approaches for risks in Property and Casualty Insurance and Life Insurance.

Description: More Efficient Monte Carlo Simulations for Mortality Assumption Testing

Description: This paper proposes the use of stochastic compartment model methods for estimating both the current direct and current indirect costs of specific cancers and for forecasting future direct and indirect costs. From Transactions of Society of Actuaries 1982, Vol. 34.

Description: This article looks at stochastic techniques actuaries can use to quantify the non-market risks in insurance products and how stochastic techniques can be used in the evaluation of reinsurance arrangements.

Description: An overview of guaranteed lifetime withdrawal benefits (GLWB) on registered index-linkedannuity (RILA) products and a stochastic analysis of market risks.

Description: This section contains multiple book reviews and notices concerning the actuarial profession. Reviews: 'Medical Risks: Patterns of Mortality and Survival' by Singer and Levinson, 'The Theory and Practice of Pension Funding' by Trowbridge and Farr, 'Two Stochastic Processes' by Beekman, 'Disability Income Insurance - Cost Differentials between Men and Women' by New York Insurance Department, 'Social Security and Private Pension Plans: Competitive or Complementary' by McGill, 'A New Look at Accounting for Pension Costs' by Hall and Landsittel, '1977 Annual Reports of the Board of Trustees of the Federal OASDI Trust Funds...,' 'Investigation of Sickness Statistics - Individual Policies, 1971 and 1973' by the Institute of Actuaries and the Faculty of Actuaries, 'The Graduation of Pensioners and of Annuitants Mortality Experience 1967-70' by the Institute of Actuaries and the Faculty of Actuaries, 'Pensions and Survival - the Coming Crisis of Money and Retirement' by Calvert, 'Group Benefits in a Changing Society' by Spencer, 'Experience of Disabled Work Benefits under OASDI 1965-74' by Bayo and Wilkin. Digests also included.