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학술저널

Evaluation of Islamic Banking Efficiency in Iran

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Purpose - In this study, it is attempted to examine the Islamic banking practice in Iran based on new scientific methods. Design/methodology/approach- It is used the financial ratios demonstrating healthy or non-healthy of banks to assess the financial health of listed banks in Tehran Stock Exchange. The assessment of these ratios with use of decision tree as a non-parametric method for modeling is recommended for presenting this model. Information about the financial health of banks could be effective on the decisions of different groups of banks financial reports users, including shareholders, auditors, stock exchange, central bank and etc. Findings - the results of the study show that Decision Tree is strong approach in order to classifying Islamic banks in Iran. Originality/value- So far, several studies have been conducted in various countries on the topic of this study. Considering the importance Islamic banking, it is almost the first study in Iran and the outcomes of the study may helpful to Iranian economy.

Abstract

1. Introduction

2. Islamic Banking

3. The decision tree

4. Variables subset selection algorithm

5. Data mining process

6. Data analysis method

7. Decision tree based classification model

8. Implementation results

9. Conclusion

10. References

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