Description: The South African life insurance industry contains the largest life insurance market in Africa, it is highly sophisticated and highly regulated. In the years 2020 and2021, the industry suffered significant mortality losses due toCovid-19. What can we learn from this experience in South Africa?

Description: Covers experience from 1973 - 1978 on nonsmoker mortality to be used by the NAIC and its Technical Advisory Committee as a basis for developing interim valuation standards for nonsmoker ordinary business. Interim scaling factors to be applied to specified valuation mortality tables are also provided to develop smoker and non-smoker valuation mortality.

Description: Describes the type of information sought on the Preferred Class Structure Questionnaire for the 2005-2007 individual life experience study and explains how to fill out the questionnaire

Description: Discusses mortality improvements over the last 20 years, the extent to which premiums on nonparticipating policies reflect the changes in mortality experience, the proposed new valuation table, should valuation tables be split by gender, and extra mortality on substandard lives at very long durations.

Description: The purpose of this paper is to introduce a practical method for interpolation and smoothing and give a number of numerical examples using the method. The method is a variation of the Whittaker-Henderson method. Discussions of this paper are included.

Description: This paper represents an attempt to formulate a cohesive and consistent approach to the analysis of claim liabilities. Numerical examples are used to illustrate the methodology. From the Actuarial Research Clearing House ARCH 1990 Vol. 1.

Description: Read the Quo Vadis Reinsurance.

Description: Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In this session, we will discuss potential sources and attributes of claims data, traditional approaches alongside new analytic techniques and how to integrate models into existing claims management processes. During this session, the presenters will discuss different areas of how machine learning can drive significant value unleashing the potential in claims data, these include data capture, claims management and workflow design as well as behaviour prediction. In addition, the audiences will also have opportunity to learn different use cases of how claims models taking advantage of machine learning, such as foreign death fraud detection and critical illness triage.

Description: This article discusses the charge for the new SOA/COVARA AIDS Task Force. This new task force will examine and report on the principles and techniques for the financial recognition of AIDS for insurance companies, recognizing both statutory and GAAP accounting.