Instructions to Authors for SA Actuarial Journals
Individuals or teams planning to submit papers to the SAAJ for publication are advised to read through the following documents to ensure that their drafts are consistent with SAAJ standards. For those papers accepted for publication, this would help to ensure a smoother transition to completion of the process.
Editor of SAAJ
Rob Rusconi is the editor of the SA Aactuarial Journal. Any queries may be directed to Rob at:
firstname.lastname@example.org or by telephone at +27 82 3345937.
Towards best practice in the actuarial assessment of claims for maintenance against deceased estates
Abstract: This paper begins to record best practice in the actuarial assessment of claims for maintenance against deceased estates in South Africa. Although this is a small field of actuarial practice, it is in the public interest that generally accepted standards be agreed upon. The paper applies an actuarial quality framework to identify aspects of the field, and then
The significance of claims fraud in microinsurance and a statistical method to channel limited fraud identification resources
Abstract: In the past decade, the topic of microinsurance has received much attention from researchers around the world as the drive to alleviate persistent global poverty intensifies. Although microinsurance is a powerful tool that can be used to assist in the fight against poverty by acting as a safety net for policyholders, the problem of claims fraud is a serious threat to
Abstract: The significant shift from defined benefit to defined contribution retirement funds in South Africa has led to many fund members bearing responsibility for a range of risks. Many of these risks, such as those related to investment, longevity and cognitive deterioration are unavoidable. Another category of risk is that related to the choices made
A method of parameterising a feed forward multi-layered perceptron artificial neural network, with reference to South African financial markets
Abstract: No analytic procedures currently exist for determining optimal artificial neural network structures and parameters for any given application. Traditionally, when artificial neural networks have been applied to financial modelling problems, structure and parameter choices are often made a priori without sufficient consideration of the effect of such choices.
Changes in mortality of people living with HIV in South Africa and their potential implications for life assurers
Abstract: This research investigates the impact of improved (and improving) mortality experience in South Africa as a result of the increased (and increasing) access to antiretroviral treatment on South African life assurers, the entry-level insurance market and the wider South African economy. The research focuses on various potential impacts on the entry-level insurance market, including new business profitability, product development and pricing, market penetration and the potential for increased savings. This research has been done with the assistance of four of the main South African life offices and also draws on the new THEMBISA AIDS model on which a working paper has been produced. The research is based on the THEMBISA model in order to investigate the potential impact of alternative mortality scenarios on typical entry-level products within the industry where the scenarios have been based on actual current and proposed antiretroviral roll-out strategies by the Department of Health. Potential improvements to profitability, premium reductions, benefit enhancements and cashback benefits are quantified using a profit test model for entry-level market products.