Description: This article discusses the utilization of credibility concepts to reinsurer-cedant moratality analysis.

Description: Highlights of the 1999 Manulife/SOA annual large amount/older age mortality study

Description: This article lists participating companies and countries with the International Experience Study and describes the process of adding additional countries to the study.

Description: This paper presents a brief history of life insurance risk assessment and explores a future including wearable devices, genetic testing and digital health data

Description: This session from the 1983 SOA Vancouver Meeting reviews the Business Mens Assurance's computerized mortality study on its reinsured business. It also discusses smoker/non-smoker mortality assumptions, surplus relief via traditional coinsurance and mod-co and TEFRA impact on reinsurance. From Record of Society of Actuaries Vol. 9, No. 3

Description: A recent Society of Actuaries study calculates safety and stability for current Long Term Care Insurance premiums.

Description: Identifies current trends and considerations when setting the mortality improvement assumption for individual life insurance in the US.

Description: Pricing longevity swap reinsurance transactions consists of a number of different actuarial tasks, each of which hides potential pitfalls. The article outlines the pricing process, which includes a detailed analysis of current mortality experience of the portfolio to be transferred, choice and calibration of an appropriate model for mortality improvement trends and the calculation of a risk margin which reflects the uncertainty associated with the pricing best-estimate, which includes mis-estimation risk, model risk, longevity basis risk and stochastic uncertainty.

Description: As a life reinsurer, understanding mortality risk is mission critical. Superior models of mortality risk lead to more competitive pricing in profitable market segments and more efficient use of capital. Surprisingly, modern statistical tools such as predictive modeling have not previously been used to model mortality data to gain this edge. In this paper, we present the use of a predictive modeling technique called projection pursuit regression PPR to model mortality data. We first describe the process of creating a PPR model using inter-company mortality data collected by the Individual Life Experience Committee of the Society of Actuaries, and present the resulting model. We then discuss the process of using this model as a starting point for creating a more detailed PPR model of internal company mortality data.

Description: This article discusses the comparative results from the SOA Mortality Table Structure survey. From Reinsurance Section News, November 2007, Issue No. 61.