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Selecting Sustainable Optimal Stock by Using Multi-Criteria Fuzzy Decision-Making Approaches Based on the Development of the Gordon Model: A case study of the Toronto Stock Exchange

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  • Mohsen Mortazavi

Abstract

Choosing the right stock portfolio with the highest efficiencies has always concerned accurate and legal investors. Investors have always been concerned about the accuracy and legitimacy of choosing the right stock portfolio with high efficiency. Therefore, this paper aims to determine the criteria for selecting an optimal stock portfolio with a high-efficiency ratio in the Toronto Stock Exchange using the integrated evaluation and decision-making trial laboratory (DEMATEL) model and Multi-Criteria Fuzzy decision-making approaches regarding the development of the Gordon model. In the current study, results obtained using combined multi-criteria fuzzy decision-making approaches, the practical factors, the relative weight of dividends, discount rate, and dividend growth rate have been comprehensively illustrated using combined multi-criteria fuzzy decision-making approaches. A group of 10 experts with at least a ten-year of experience in the stock exchange field was formed to review the different and new aspects of the subject (portfolio selection) to decide the interaction between the group members and the exchange of attitudes and ideas regarding the criteria. The sequence of influence and effectiveness of the main criteria with DEMATEL has shown that the profitability criterion interacts most with other criteria. The criteria of managing methods and operations (MPO), market, risk, and growth criteria are ranked next in terms of interaction with other criteria. This study concludes that regarding the model's appropriate and reliable validity in choosing the optimal stock portfolio, it is recommended that portfolio managers in companies, investment funds, and capital owners use the model to select stocks in the Toronto Stock Exchange optimally.

Suggested Citation

  • Mohsen Mortazavi, 2023. "Selecting Sustainable Optimal Stock by Using Multi-Criteria Fuzzy Decision-Making Approaches Based on the Development of the Gordon Model: A case study of the Toronto Stock Exchange," Papers 2304.13818, arXiv.org.
    • Handle: RePEc:arx:papers:2304.13818
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    1. Włodzimierz Ogryczak, 2000. "Multiple criteria linear programming model for portfolio selection," Annals of Operations Research, Springer, vol. 97(1), pages 143-162, December.
    2. Halim Kazan & Kültigin Uludağ, 2014. "Credit Portfolio Selection According to Sectors in Risky Environments: Markowitz Practice," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(9), pages 1208-1219.
    3. Crama, Y. & Schyns, M., 2003. "Simulated annealing for complex portfolio selection problems," European Journal of Operational Research, Elsevier, vol. 150(3), pages 546-571, November.
    4. Das, Sanjiv & Markowitz, Harry & Scheid, Jonathan & Statman, Meir, 2010. "Portfolio Optimization with Mental Accounts," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 311-334, April.
    5. Li, Bo & Liang, Houjun & Shi, Lian & He, Qizhi, 2022. "Complex dynamics of Kopel model with nonsymmetric response between oligopolists," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    6. Yu Chuan Huang & Bor-Jing Lin, 2004. "Value-at-Risk Analysis for Taiwan Stock Index Futures: Fat Tails and Conditional Asymmetries in Return Innovations," Review of Quantitative Finance and Accounting, Springer, vol. 22(2), pages 79-95, March.
    7. N C P Edirisinghe & X Zhang, 2008. "Portfolio selection under DEA-based relative financial strength indicators: case of US industries," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(6), pages 842-856, June.
    8. Diakomihalis Mihail & Hyz Alina & Gikas Grigorios, 2014. "Criteria Determining Optimal Portfolio Selection: A Case Study," American Journal of Economics and Business Administration, Science Publications, vol. 5(4), pages 120-128, March.
    9. Mohsen Mortazavi & Mahyuddin K. M. Nasution & Foad Abdolahzadeh & Mojtaba Behroozi & Afshin Davarpanah, 2021. "Sustainable Learning Environment by Mobile-Assisted Language Learning Methods on the Improvement of Productive and Receptive Foreign Language Skills: A Comparative Study for Asian Universities," Sustainability, MDPI, vol. 13(11), pages 1-15, June.
    10. Güray Kara & Ayşe Özmen & Gerhard-Wilhelm Weber, 2019. "Stability advances in robust portfolio optimization under parallelepiped uncertainty," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 241-261, March.
    11. Halim Kazan & Kültigin Uludag, 2014. "Credit Portfolio Selection According to Sectors in Risky Environments: Markowitz Practice," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(9), pages 1208-1219, September.
    12. Ballestero, E. & Gunther, M. & Pla-Santamaria, D. & Stummer, C., 2007. "Portfolio selection under strict uncertainty: A multi-criteria methodology and its application to the Frankfurt and Vienna Stock Exchanges," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1476-1487, September.
    13. Liurui Deng & Yiwen Zhao, 2022. "Investment Lag, Financially Constraints and Company Value—Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(11), pages 3034-3047, September.
    14. Hurson Ch. & Ricci - Xella N., 2002. "Structuring Portfolio Selection Criteria for Interactive Decision Support," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 69-94, January -.
    15. Hakansson, Nils H., 1972. "Mean-Variance Analysis in a Finite World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(4), pages 1873-1880, September.
    16. Xin‐tu Lei & Qing‐yuan Xu & Cheng‐ze Jin, 2022. "Nature of property right and the motives for holding cash: Empirical evidence from Chinese listed companies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1482-1500, July.
    17. Ralph E. Steuer & Yue Qi & Markus Hirschberger, 2008. "Portfolio Selection in the Presence of Multiple Criteria," Springer Optimization and Its Applications, in: Constantin Zopounidis & Michael Doumpos & Panos M. Pardalos (ed.), Handbook of Financial Engineering, pages 3-24, Springer.
    18. Mohsen Mortazavi & Fatma Tansu Hocanın & Afshin Davarpanah, 2020. "Application of Quantitative Computer-Based Analysis for Student’s Learning Tendency on the Efficient Utilization of Mobile Phones during Lecture Hours," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    19. Chen, Yu & Wang, Zhicheng & Zhang, Zhengjun, 2019. "Mark to market value at risk," Journal of Econometrics, Elsevier, vol. 208(1), pages 299-321.
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