Insurance loss modeling concerns the prediction of future claims from policyholders in different risk classes based on past observations of claims made by the policyholders in these classes.It is a fundamental branch of Actuarial science and one of the cornerstones in general insurance contracts.Loss modeling and its variations have been widely studied by researchers in actuarial science and successfully applied by practisioners. Perhaps one of the most well-known theories along this line is ...
ABSTRACT The United Nations Population Division publishes fertility projections for all countries in the World Population Prospects (WPP). These are the most widely used projections for planning and policy implementation. Despite a substantial body of literature that suggests education has a significant impact on fertility, these projections do not incorporate changes in the composition of the population by level of education. We therefore propose and implement a method that incorporates edu...
Abstract Few studies of rock-lobster diet have included analyses of mature females or juveniles of either sex. This study focused on the diet of male and female West Coast rock lobsters (Jasus lalandil) in three size classes (viz.: 10 - 35 mm CL (carapace length) - small, 40 - 59 mm CL - medium and 70 - 85 mm CL - large), using visual analyses of stomach contents. The principle aims were to examine potential differences in diet between: (1) male and female rock lobsters; (2) changes in diet ...
ABSTRACT This research project examined the phenomenon of bankruptcy prediction from a developing economy perspective using the Altman Z-score models. These models rank among the bankruptcy models, whose main purpose is to detect the impending bankruptcy in good time. Drawing an empirical data from audited financial statements of firms listed in Nairobi Security Exchange in Kenya, the author tested Altman original Z-score (1968)and the Emerging Markets (1993) models using the dataset of the y...
This study investigates the effect of firm-specific factors on the profitability of non-life insurance companies operating in Uganda to be more specific, to examine the relationship between profitability and economic factors, firm size, underwriting factor. For this purpose, secondary data of 21 non-life insurance companies operating in Uganda from the period 2004–2015 were collected from IRA. The data was analyzed using descriptive statistics, coefficient of determination (R2), standard...