Description: This presentation discusses a process for determining the minimum reinsurance retention level consistent with defined parameters. The conclusions reached were: 1. Under PDS dependence, optimal reinsurance strategy is multivariate stop loss form. 2. Explicit solutions could be derived in certain bivariate model. 3. Binding and unbinding constraints are equivalent. From Actuarial Research Clearing House, 2012, Vol. 1.

Description: By establishing insurance risk as an asset class, participants will provide the insurance industry with vast pools of capital to mitigate catastrophic risk through the use of new nontraditional reinsurance products. From Securitization of Insurance Risk: The 1995 Bowles Symposium, M-FI97-1.

Description: LOMA Collaborates on New Reinsurance Designation by Edward T. Burns & Jennifer W. Herrod from Reinsurance Section News, March 1999, Issue No. 45.

Description: The Society of Actuaries SOA Reinsurance Section is pleased to be expanding its membership to individuals outside of the actuarial profession. The Reinsurance Section Council has been in the forefront on the reinsurance industry with focus on basic and continuing education as well as communications, publications and research.

Description: This chairperson’s corner highlights the Spring Health Meeting and accomplishments of the Reinsurance Section.

Description: Each year reinsurance professionals gather in Toronto for the Canadian Reinsurance Conference CRC. In 2008 the CRC will be held for the 52nd time in Toronto on Thursday, April 3rd. The theme for 2008 is REinvention.

Description: Feature article discussing the current state of reinsurance for the variable annuity market.

Description: This article provides an update, as of July 2020, on the Reinsurance Section’s sponsored research in process and studies recently completed.

Description: Over the last 10 years, Artificial Intelligence (AI) healthcare foundation models have made tremendous strides when it comes to delivering highly accurate predictive results when compared to traditional models. This is especially true for models developed and trained on the ‘language’ of healthcare. When trained on healthcare data sequences (claims, EHR, CPT, ICD, pharmacy, lab, etc.), these models deliver far more accurate results as to WHAT beneficiary-level health events will occur and even WHEN they will occur.

Description: This is an update, as of February 2025, on the Reinsurance Section’s sponsored research in process and studies recently completed.