Insurance companies

In this research, we evaluated performance analysis and ranking of insurance companies listed on the capital market of Iran using data envelopment analysis. In respect of the target the research is applied. The type of research design relying on historical data, is event following and inductive method is inference. The study is consisted of a key question and three sub-questions. This research studies the insurance companies listed on the capital market over a three-year period (2013-2015). Finally, according to the study, data was collected from 9 companies. To document the results of the statistical analysis and providing solutions, using SPSS software, Excel and GE MS we attempted to analyse the questions. At the end, the ranking resulted to the conclusion that the most efficient insurance companies of capital markets, are as follows: Alborz, Dana, Sina, Moalem, Asia, Pasargad, Parsian and Saman. 

The main goal of this paper is to propose a new approach for efficiency measurement and ranking of stocks. Data envelopment analysis (DEA) is one of the popular and applicable techniques that can be used to reach this goal. However, there are always concerns about negative data and uncertainty in financial markets. Since the classical DEA models cannot deal with negative and imprecise values, in this paper, possibilistic range directional measure (PRDM) model is proposed to measure the efficiencies of stocks in the presence of negative data and uncertainty with input/output parameters. Using the data from insurance industry, this model is also implemented for a real case study of Tehran stock exchange (TSE) in order to analyse the performance of the proposed method.