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.

The main goal of this article is to Investigating Factors Affecting the Financial Wealth of Insurance Companies in Iran. The method of this article is descriptive in terms of practical purpose and library data collection method. The data collection tool in this article was a standard questionnaire that was adapted from Masoumi et al.'s questionnaire and model. The statistical population of the research is all the experts in the country's insurance industry. The results of this article showed that the country's insurance industry experts, including university professors and senior managers of Iran Insurance Company, agree with these four main risks in the Financial Wealth model . However, these four main risks are not enough for the model of Financial Wealth . In the final, the optimal pattern of financial wealth in the Iranian insurance company includes four main pillars, which include 6 basic and general contain asset/liability mismatch risk, reinvestment risk, exchange rate risk, international market risk, life insurance account separation risk from non-life insurance account, life insurance account investment risk risks in the insurance industry each of the basic and general risks of the insurance industry also has several risks and sub-categories.