Optimal Retention Level for Infinite Time Horizons under MADM
AbstractIn this paper, we approximate the aggregate claims process by using the translated gamma process under the classical risk model assumptions, and we investigate the ultimate ruin probability. We consider optimal reinsurance under the minimum ultimate ruin probability, as well as the maximum benefit criteria: released capital, expected profit and exponential-fractional-logarithmic utility from the insurer’s point of view. Numerical examples are presented to explain how the optimal initial surplus and retention level are changed according to the individual claim amounts, loading factors and weights of the criteria. In the decision making process, we use The Analytical Hierarchy Process (AHP) and The Technique for Order of Preference by Similarity to ideal Solution (TOPSIS) methods as the Multi-Attribute Decision Making methods (MADM) and compare our results considering different combinations of loading factors for both exponential and Pareto individual claims. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Bulut Karageyik, B.; Şahin, Ş. Optimal Retention Level for Infinite Time Horizons under MADM. Risks 2017, 5, 1.
Bulut Karageyik B, Şahin Ş. Optimal Retention Level for Infinite Time Horizons under MADM. Risks. 2017; 5(1):1.Chicago/Turabian Style
Bulut Karageyik, Başak; Şahin, Şule. 2017. "Optimal Retention Level for Infinite Time Horizons under MADM." Risks 5, no. 1: 1.