Ranking Tehran’s Stock Exchange Top Fifty Stocks Using Fundamental Indexes and Fuzzy TOPSIS

Authors

  • E. S. Saleh Department of Industrial Engineering & Management Systems, Amir Kabir University of Technology (Tehran Polytechnic), Tehran, Iran
  • A. M. Kimiagari Department of Industrial Engineering & Management Systems, Amir Kabir University of Technology (Tehran Polytechnic), Tehran, Iran
Volume: 7 | Issue: 4 | Pages: 1863-1869 | August 2017 | https://doi.org/10.48084/etasr.1252

Abstract

Investment through the purchase of securities, constitute an important part of countries economic exchange. Therefore, making decisions about investing in a particular stock has become one of the most controversial areas of economic and financial research and various institutions have began to rank companies stock and determine priorities of stock purchase to investment. The current research, with the determination of important required indexes for companies ranking based on their shares value on the Tehran stock exchange, can greatly help to the accurate ranking of fifty premier listed companies. Initial ranking indicators are extracted and then a decision-making group (exchange experts) with the use of the Delphi method and also non-parametric statistic methods, determines the final indexes. Then, by using Fuzzy ANP, weight criteria are obtained with taking into account their interaction with each other. Finally, using fuzzy TOPSIS and information extraction about the premier fifty listed companies of Tehran stock exchange in 2014 are ranked with the software "Rahavard Novin”. Sensitivity analysis to criteria weight and relevant analysis presentation was conducted at the end of the study procedures.

Keywords:

performance evaluation, stock efficiency, companies ranking, ANP Fuzzy, TOPSIS

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References

E. Onder, A. Hepsen, “Combining time series analysis and multi criteria decision making techniques for forecasting financial performance of banks in Turkey”, International Conference on Applied Business and Economics (ICABE-13), pp. 530-555, October, 2013

C. Kao, R. E. Steuer, “Value of information in portfolio selection, with a Taiwan stock market application illustration”, European Journal of Operational Research, Vol. 253, No. 2, pp. 418-427, 2016 DOI: https://doi.org/10.1016/j.ejor.2016.02.011

K. Y. Shen, G. H. Tzeng, “Combined soft computing model for value stock selection based on fundamental analysis”, Applied Soft Computing, Vol. 37, No. 1, pp. 142-155, 2015 DOI: https://doi.org/10.1016/j.asoc.2015.07.030

H. Ince, “Short term stock selection with case-based reasoning technique”, Applied Soft Computing, Vol. 22, No. 2, pp. 205-212, 2014 DOI: https://doi.org/10.1016/j.asoc.2014.05.017

M. Amile, M. Sedaghat, M. Poorhossein, “Performance Evaluation of Banks using Fuzzy AHP and TOPSIS, Case study: State-owned Banks, Partially Private and Private Banks in Iran”, Caspian Journal of Applied Sciences Research, Vol. 2, No. 3, pp. 10-15, 2013

S. Ansari, M. Kazemi, A. Eshlaghy, “An application of fuzzy TOPSIS for ranking strategies”, Management Science Letters, Vol. 4, No. 4, pp. 663-668, 2014 DOI: https://doi.org/10.5267/j.msl.2014.2.027

K. Y. Shen, M. R. Yan, G. H. Tzeng, “Combining VIKOR-DANP model for glamor stock selection and stock performance improvement”, Knowledge-Based Systems, Vol. 58, No. 4, pp. 86-97, 2014 DOI: https://doi.org/10.1016/j.knosys.2013.07.023

X. Bi, R. A. Isaili, Q. Zheng, “Evaluation of Wastewater Treatment Quality in the West Bank-Palestine Based on Fuzzy Comprehensive Evaluation Method”, 21st International Conference on Industrial Engineering and Engineering Management, pp. 219-221, 2015 DOI: https://doi.org/10.2991/978-94-6239-102-4_46

A. E. La Plante, J. C. Paradi, “Evaluation of bank branch growth potential using data envelopment analysis”, Omega, Vol. 52, No. 2, pp. 33-41, 2015 DOI: https://doi.org/10.1016/j.omega.2014.10.009

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How to Cite

[1]
E. S. Saleh and A. M. Kimiagari, “Ranking Tehran’s Stock Exchange Top Fifty Stocks Using Fundamental Indexes and Fuzzy TOPSIS”, Eng. Technol. Appl. Sci. Res., vol. 7, no. 4, pp. 1863–1869, Aug. 2017.

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