Abstract:
The research provides a systematic method for assessing the financial performance
of the banks. The analysis is based on a set of benchmarks related to the
financial performance of the banks. In this regard, this research has explored a
model for evaluating accepted banks in Tehran Stock Exchange using the data
envelopment of analysis method. The purpose of this research is to apply the
research method. In addition, the data collection method is a direct observation,
interview and library method and a tool for collecting data from stock databases.
The statistical population of this study is Tehran Stock Exchange member banks.
Selection of inputs and outputs of this research has been done according to similar
research. Inputs include public and administrative costs, income and output, including
net profit. In addition, according to the analysis done by the DEA models,
it is selected for performance evaluation. Finally, the unit is either efficient or
inefficient, and efficient units with The Anderson and Pearson models were
ranked and eventually the Bank of Pasargad and the Ghavamain Bank ranked.
Machine summary:
In this regard, this research has explored a model for evaluating accepted banks in Tehran Stock Exchange using the data envelopment of analysis method.
In this study, to evaluate the efficiency and efficiency of companies the stock exchange is utilized in a scientific approach called data envelopment analysis.
In this study, following inputs applied for evaluating the efficiency: (1) cashiers; (2) services employees; (3) branch management; (4) bank operation costs (except personnel expenditures and rental); (5) infrastructure of the branch.
According to results obtained from this model, some branches had excessive use of some inputs and due to their efficiency, they haven considered until that time.
The relative efficiency for kth unit, as indicated with REk defined as below: (View the image of this page) A decision making unit means a unit that could produce an output vector, Y= (y1,…,ys) by receiv- ing an input vector, X=(x1,…xm).
As statements and indices indicate the annual performance of decision-making units (companies) and data indicated in them is one of the most important information sources of users of financial data for decision making, there- fore, the input and output variables have been selected for evaluating the efficiency of companies from such statements and indices [29-31].
Table 1: The efficiency based on AP model (View the image of this page) 5 Conclusion Given that there was an input and two outputs, the number of decision-making units should be at least 9, in which we analyzed 18 banks in the stock exchange.
, Measuring the efficiency of decision-making units, European Journal of Operational Research, 1978, 2(6), P.