Exploratory study of insurance companies in selected post-transition countries: non-hierarchical cluster analysis
This paper focuses on the analysis of business practice of insurance companies in selected post-transition European countries. Specifically, it covers Croatian, Slovenian, Hungarian and Polish insurance markets in the year 2014 comprising the total of 119 insurance companies. Employing the non-hierarchical cluster analysis by applying the k-means approach, insurance companies are segmented into seven groups using various variables such as ROE, the share of premium ceded to reinsurance, the number of years operating in the insurance market, leverage, gross premium written and the share of life insurance premium in the total premium. Furthermore, these seven clusters have been grouped according to the country of origin, ownership and the type of insurance companies. Results indicate that specific groups of insurance companies in these countries share common characteristics, which are not based solely on the country of origin and the type of insurance.
With the use of data and concrete examples, such as ::: a mini-case study, and a focus on the top 20 global players, this ::: thesis aims at tackling Capex issues in the telecom industry by ::: covering: – Uses, levels, inefficiencies in Capex management, ::: notably via insider perspective, and their impacts on capital ::: allocation; – Financing of Capex via debt and the recent ::: development of asset monetization; – Specific trends (NSA, VNOs) ::: and M&A in the telecom industry and their impacts on Capex, via ::: the case study of the French SFR-Numericable ::: transaction.