Description: This paper's objectives are to reduce the variation of life expectancy due to changes in the closing out method and give more homogeneous old age mortality surface for the Algerian population. The paper will also provide readers with a general methodology to extend mortality to old ages for the Algerian population starting from adult mortality data.

Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.

Description: 1988 Valuation Actuary Symposium. In this session the speaker described the modeling of the participating whole life division including the product description, modelling assumptions, operation of the model, and the results.

Description: Discusses how 'insignificant' changes in assumptions can have very significant affects.

Description: A short note on derivatives of decreasing life annuities that was motivated by Exercise 5.35 on page 156 of 'Actuarial Mathematics'. Actuarial Research Clearing House 1993 VOL. 2

Description: This paper looks at mathematical problems formulated in either explicit or implicit form. Followed by several discussion papers submitted

Description: Brief comment from the Editor about the 17th Actuarial Research Conference in 1982.

Description: This paper gives a brief review of advanced time series models, the state space model, using Monte Carlo techniques and subsequently illustrates their usefulness to practicing actuaries. The models employed allow for the possibilities of nonnormal errors and nonlinear functionals in the state equation, the observational equation or both. The approach is illustrated with several examples and data compiled by the National Center for Health Statistics.

Description: A new health insurance pricing model takes external market prices into account, as well as regulatory rate restrictions and other traditional pricing factors. Rather than being assumed at the outset, lapse rates emerge from the model, along with assessment spiral & loss ratio projections. Under the model optimal pricing strategy depends on whether the class being rated has a healthier than average mix of risks.

Description: An outline of a formal framework for describing models, inspired by the operational context of governance, management, and use of models.