Description: This purpose of this paper is to furnish management of smaller companies with small company experience. This includes a comparison between medical and non-medical business and the maintaining of a continuous investigation procedure. This paper additionally determines experience rates of mortality for dividend purposes. Experience by cause of death is also provided.

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: 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: 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: 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: 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 panel discussion is about claim reserves. It focused on: 1. Review of methods and statutory requirements in the establishment of claim reserves for property and casualty, life and health insurance. 2. Discussion of different approaches in casualty and life blanks e.g., incurred but not reported reserves.

Description: Covers 1983 - 1984 and 1979 - 1984 anniversaries mortality experience for individual life insurance.

Description: Covers U.S. mortality experience by amount of life insurance under standard individually underwritten issues between 1987 - 1988 anniversaries. Also shows 1983 - 1988 anniversaries experience.