Description: This paper stresses the importance and value of information databases. From Actuarial Research Clearing House 1993, VOL. 3.

Description: Shows how to use personal information such as medical history, family characteristics, etc. in a logical statistical fashion for the purpose of modifying an existing mortality table to reflect the collected underwriting information.

Description: In this presentation, the authors develop a stochastic generator for the generation of scenarios of the S & P 500 index, dividend yield, consumer price index, and U.S. Treasury yields. They first create a set of 'stylized facts' for these series. These in-sample statistical models are themselves not suitable for generation of scenarios for decision making, but instead are additional stylized facts that assist in model development. The 'best' statistical model according to standard statistical model selection criteria can easily lead to a model that is highly unsuitable for generation of scenarios for decision making. The authors develop a stochastic generator that is suitable for decision making under uncertainty. From Actuarial Research Clearing House 1997, Vol. 1.

Description: This paper addresses the autoregressive model and shows that the boundedness restriction can be removed from the basic result on the probability of ruin. From Actuarial Research Clearing House 1991, VOL. 1.

Description: This is the abstract of a paper that derives expressions for the moments of the distribution of the option payoff in a Black Scholes economy. These results are of interest from a purely statistical viewpoint. They may also be of interest given the current importance of value at risk calculations. The paper also derives formulae for the moments of barrier options and provides numerical examples.

Description: An updated and expanded translation of the 1863 Theory of Life Insurance Premium Reserves by Dr. August Zillmer, Stettin, Prussia. This is a seminal paper for the life insurance reserve method used extensively in Europe.

Description: This Fellowship credit research paper describes the use of fuzzy sets applications to the selection of group health risks. In general, fuzzy set theory is implemented to describe collections of objects whose boundaries are not precisely defined, as in the judgment of what constitutes a good risk group. First, single-plan underwriting is considered, then the work is extended to multiple-option plans.

Description: This paper discusses Cecil Nesbitt's paper on elementary models of the reserve fund for OASDI in the United States. From the Actuarial Research Clearing House 1991, Vol.1.

Description: This is the abstract of an article about the classical Lundberg inequality of insurance risk theory. From ACTUARIAL RESEARCH CLEARING HOUSE 1994 VOL. 1.

Description: This paper highlights how the estimation procedure works in regards to annuities, including immediate life annuities.