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Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context

Author

Listed:
  • Mir Seyed Mohammad Mohsen Emamat

    (Allameh Tabataba’i University)

  • Caroline Maria de Miranda Mota

    (Universidade Federal de Pernambuco)

  • Mohammad Reza Mehregan

    (University of Tehran)

  • Mohammad Reza Sadeghi Moghadam

    (University of Tehran)

  • Philippe Nemery

    (SAP BeLux)

Abstract

In recent years, multi-criteria sorting problems have become an interesting topic for researchers working on multi-criteria decision-making. ELimination and Choice Expressing REality (ELECTRE)-TRI and FlowSort are well-known approaches suggested for such a classification. The current study aimed to implement ELECTRE-TRI and FlowSort methods in the stock portfolio selection (SPS) as one of the most popular and important decision-making subjects and compare the outcomes of each method to understand how these methods perform in SPS problems. In this study, the best–worst method was applied to determine the weights of criteria. Four approaches for ELECTRE-TRI and 15 approaches for FlowSort were considered. Finally, 19 different approaches were considered to select stocks from a large pool of stocks. Results indicated that the model parameter should be properly defined to minimize inconsistencies and improve the power of the model.

Suggested Citation

  • Mir Seyed Mohammad Mohsen Emamat & Caroline Maria de Miranda Mota & Mohammad Reza Mehregan & Mohammad Reza Sadeghi Moghadam & Philippe Nemery, 2022. "Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-35, December.
    • Handle: RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-021-00318-1
    DOI: 10.1186/s40854-021-00318-1
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