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A novel methodology for perception-based portfolio management

Author

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  • Kocherlakota Satya Pritam

    (Pandit Deendayal Energy University)

  • Trilok Mathur

    (Birla Institute of Technology and Science, Pilani campus)

  • Shivi Agarwal

    (Birla Institute of Technology and Science, Pilani campus)

  • Sanjoy Kumar Paul

    (University of Technology Sydney)

  • Ahmed Mulla

    (Pandit Deendayal Energy University)

Abstract

Selecting and investing in stock market with right proportions is one of the major challenges. Majority of the investors end up losing their invested equity capital due to uncertainty in the market. The present study provides a novel framework for novice investors to construct portfolio based on multicriteria decision making techniques under fuzzy environment. The scores obtained from these techniques were used to introduce two non-dimensional parameters for categorization of risky and non-risky assets. Three perceptions portfolios were constructed based on the proposed non-dimensional parameters along with fractional lion clustering algorithm. In order to demonstrate the proposed framework, an illustrative application is included in equity portfolio selection. The returns and risks of these perception based portfolios are compared to major Index funds for validating the efficiency and are found to overpower the Index funds with significant margins by maintaining the risk comparable to Index funds. Further, Markowitz based efficient frontier is plotted for better understanding of optimal returns and risk for perception based investment.

Suggested Citation

  • Kocherlakota Satya Pritam & Trilok Mathur & Shivi Agarwal & Sanjoy Kumar Paul & Ahmed Mulla, 2022. "A novel methodology for perception-based portfolio management," Annals of Operations Research, Springer, vol. 315(2), pages 1107-1133, August.
    • Handle: RePEc:spr:annopr:v:315:y:2022:i:2:d:10.1007_s10479-022-04530-9
    DOI: 10.1007/s10479-022-04530-9
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    References listed on IDEAS

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    1. Fichtner, Jan & Heemskerk, Eelke M. & Garcia-Bernardo, Javier, 2017. "Hidden power of the Big Three? Passive index funds, re-concentration of corporate ownership, and new financial riskâ€," Business and Politics, Cambridge University Press, vol. 19(2), pages 298-326, June.
    2. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    3. Silva, Thuener & Pinheiro, Plácido Rogério & Poggi, Marcus, 2017. "A more human-like portfolio optimization approach," European Journal of Operational Research, Elsevier, vol. 256(1), pages 252-260.
    4. Dai, Zhifeng & Zhu, Huan, 2020. "Stock return predictability from a mixed model perspective," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    5. Francesco Cesarone & Andrea Scozzari & Fabio Tardella, 2013. "A new method for mean-variance portfolio optimization with cardinality constraints," Annals of Operations Research, Springer, vol. 205(1), pages 213-234, May.
    6. Meryem Masmoudi & Fouad Ben Abdelaziz, 2018. "Portfolio selection problem: a review of deterministic and stochastic multiple objective programming models," Annals of Operations Research, Springer, vol. 267(1), pages 335-352, August.
    7. Hong-Quan Li & Zhi-Hong Yi & Yong Fang, 2019. "Portfolio selection under uncertainty by the ordered modular average operator," Fuzzy Optimization and Decision Making, Springer, vol. 18(1), pages 1-14, March.
    8. Ferrara, Massimiliano & Rasouli, Sepideh & Khademi, Mehrnoosh & Salimi, Mehdi, 2017. "A robust optimization model for a decision-making problem: An application for stock market," Operations Research Perspectives, Elsevier, vol. 4(C), pages 136-141.
    9. David Pla-Santamaria & Mila Bravo & Javier Reig-Mullor & Francisco Salas-Molina, 2021. "A multicriteria approach to manage credit risk under strict uncertainty," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(2), pages 494-523, July.
    10. Zhifeng Dai & Huiting Zhou, 2020. "Prediction of Stock Returns: Sum-of-the-Parts Method and Economic Constraint Method," Sustainability, MDPI, vol. 12(2), pages 1-13, January.
    11. Erik Sonne Noddeboe & Hans Christian Faergemann, 2015. "Positive Alpha and Negative Beta (A Strategy for Counteracting Systematic Risk)," IJFS, MDPI, vol. 3(4), pages 1-20, September.
    12. Sühan Altay & Katia Colaneri & Zehra Eksi, 2021. "Optimal convergence trading with unobservable pricing errors," Annals of Operations Research, Springer, vol. 299(1), pages 133-161, April.
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