Ranking of financial intermediation firms in Tehran Stock Exchange by using the generalized data envelopment analysis

In this paper the ranking of financial intermediary companies which are existent in Tehran Stock Exchange was based on their performance scores. The striking point in this study is using the method which is limited to financial institutions. We used generalized data envelopment analysis method for finding financial institutions efficiency scores and rankings. Our used models are RAM and SRAM. To commence first of all inputs and outputs will be extracted from financial ratios of companies and then the efficiency scores for each firm will be obtained by using the RAM model. Since in the use of DEA, there always are units with efficiency score of one, hence using Super Efficiency RAM makes it possible to rank units with efficiency score of one. Since the inputs and outputs of our research is financial statements which are existed in the balance sheet, care must be taken in the use of relevant models and methods. RAM and SRAM models which are designed for financial institutions are with inputs and outputs similar to financial ratios.

کلیدواژه ها:

Generalized data envelopment analysis ، efficiency score ، RAM model ، SRAM model