Description: This session from the 1995 SOA New York Meeting covers securitization of insurance liabilities. Securitization of insurance risk is an alternative risk transfer other than reinsurance based on the idea that investors participate directly in the insurance risk. From the Record of the Society of Actuaries, Vol. 21, No. 2.

Description: This is a recommendation for SOA scientific publications including the types of papers, schedules and governance of each.

Description: This article summarizes presentations given at the 1998 Bowles Symposium concerning the use of genetic testing in underwriting life insurance and the medical, legal and ethical issues that arise.

Description: This article contains reviews of the following books published in 1987-1990: 1. 'Pension Age in a Changing Society' by Patrick Carroll, 2. 'Life Insurance Mathematics' by Hans U. Gerber, 3. 'A History of Probability and Statistics and Their Applications before 1750' by Anders Hald, 4. 'Medical Risks: Trends in Mortality by Age and Time Elapsed' by Edward A. Lew, 5. 'Canadian Handbook of Flexible Benefits' by Robert J. McKay, 6. 'Canadian Insurance Practices' by Franklin Reynolds, 7. 'On the Shoulders of Giants' edited by Lynn Arthur Steen, 8. 'The Value of Pensions in Divorce: What It Is and How to Use It' by Marvin Snyder, 9. 'Life Insurance Accounting' by Edward P. Brunner and Paul E. Heacock, 10. 'Duration Analysis: Managing Interest Rate Risk' by G.O. Bierwag, and 11. 'Actuarial Evidence: Valuing Past and Future Income' by Donald R. Anderson. Notices of other articles and publications are also included. From Transactions of Society of Actuaries 1990, Vol. 42.

Description: This paper incorporates a jump-diffusion process into the original Lee-Carter model, and uses it to forecast mortality rates and analyze mortality securitization.

Description: 1993 SOA Annual Meeting, New York. This session discussed the panelist's approach to actuarial education and training in other countries.

Description: We devise an approach, using tobit models for modeling annuity lapse rates. The approach is based on data provided by the Society of Actuaries’ Risk Management Task Force. Kim [2005a] models annuity lapse rates using a logit model and the same US data (he also used Korean data separately). We find that the tobit model is a more than suitable approach for all levels of the explanatory variables including interest rates, unemployment rates, and GDP growth rates. Specifically, policyholder behavior in the tail of the distribution of lapse rates is explained as well as it is in the normal range of lapse rates.