Is the relationship between insurance consumption and its determinants spurious? Is general insurance a luxury service? Do bequest motives matter for life insurance consumption? Is private credit important for the development of life insurance? Do socioeconomic development and informal risk sharing institutions matter for formal insurance consumption? This thesis investigates these and other related issues using international datasets and relatively new panel data method, namely the Common Correlated Effects Pooled (CCEP) estimator. A novelty of the CCEP is that it takes into account the impacts of unobserved common factors. The thesis consists of an introduction, three empirical chapters and conclusions. Chapter 2 studies the relationship between nonlife insurance consumption and income/wealth per capita. Estimation results suggest that income elasticity is below unity and that nonlife insurance is positively related to GDP per capita, the law, risk aversion, infrastructural development, and negatively related to socioeconomic development. Chapter 3 explores life insurance consumption driven by bequest motives. We found that life insurance consumption is positively related to GDP per capita, old age dependency ratio, infrastructural development, and social security and welfare; and negatively related to the extended family institution, savings, inflation, and risk aversion. Estimation results suggest the presence of altruistic, and bequest as exchange old age security motives. Chapter 4 investigates the long run relationship and causality direction between private credit consumption and life insurance development. Life insurance development may be explained by GDP per capita, formal and informal credit consumption, infrastructural development, life expectancy, institutional quality, inflation, and Islam, and Orthodox being the dominant religions. Cointegration test results suggest that life and nonlife insurance consumption and its determinants exhibit a long run relationship; and that there is a long run bi-directional causality relationship between life insurance development and private credit consumption. The thesis concludes that insurance development requires institutional and infrastructural development-in particular- telecommunications infrastructure, to facilitate cost effective insurance supply.

The main goal of this Diploma thesis is to describe an approach for modeling run-off triangles of nonlife insurance (calculation of IBNR reserve) based on state space models and apply the method to the selected run-off triangles. In difference from (Atherino a kol., 2010) the KFAS package in R software is used for modeling purposes in the numerical study at the end of the thesis. One provides a preview of various possibilities of data and model adjustment applied to the same run-off triangles in order to asses added value of these steps (logartihmic transformation of input data, interventions for outliers etc.). A special attention is devoted to lognormal modification of the basic state space model. An integral part of the numerical study in the thesis is a residual diagnostic of models and simulation approach to IBNR reserves. 1

In this paper, an attempt has been made to examine the evolution of corporate leverage of companies listed on the Johannesburg Stock Exchange (JSE) from 1994 to 2016. Analysis of the data set is organized around a sample of 126 listed companies across twelve sub-sector industries, namely, Banks, Financial Services, Life Insurance, Fixed Line Telecommunications, Nonlife Insurance, Health Care Equipment and Services, Pharmaceuticals and Biotechnology, Media, Technology Hardware and Equipment, Software and Computer Services, Electronic and Electrical Equipment and Support Services. 621 delisted companies were also briefly analysed to eliminate survivorship bias. Results of multiple regressions using two primary leverage measures and six commonly used determinants of capital structure were varied. Tangibility and growth were negatively related to debt while cost of debt was positively related to debt. Firm size, profitability and corporate tax rate yielded a varied relationship with corporate leverage. Only the growth capital structure determinant showed statistical significance. The overall findings indicate a rise in corporate leverage that coincides in tandem with major local and international economic events.