IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v11y2023i1p46-d1095631.html
   My bibliography  Save this article

A Combined AHP-PROMETHEE Approach for Portfolio Performance Comparison

Author

Listed:
  • Mirza Sikalo

    (School of Economics and Business, University of Sarajevo, Trg oslobodjenja—Alija Izetbegovic 1, 71000 Sarajevo, Bosnia and Herzegovina)

  • Almira Arnaut-Berilo

    (School of Economics and Business, University of Sarajevo, Trg oslobodjenja—Alija Izetbegovic 1, 71000 Sarajevo, Bosnia and Herzegovina)

  • Adela Delalic

    (School of Economics and Business, University of Sarajevo, Trg oslobodjenja—Alija Izetbegovic 1, 71000 Sarajevo, Bosnia and Herzegovina)

Abstract

Comparing portfolio performance is complex due to the fact that each model is dominant in its own risk space. Since there is no single dominant performance measure, the research problem is how to incorporate several different measures into a performance evaluation model that allows portfolios to be ranked. In this regard, the objective of this study was to develop a new comprehensive method for comparing portfolio performance based on multiple-criteria decision-making (MCDM). This paper proposes an integrated approach for stock market decision making that combines the Analytic Hierarchy Process (AHP) and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), which allow hierarchical evaluation of a finite number of alternatives according to different criteria. This hybrid approach is especially advantageous, utilizing the strengths of both individual methods. AHP enables the decomposition of a complex problem into its constituent parts and the determination of weights for criteria, while the PROMETHEE method allows the investor to determine the preference function, complete ranking, and analysis of the robustness of the results. For the MCDM model in this study, different dimensions of performance measures are considered criteria: return measures, risk measures, stability measures, and predictability measures. The methodology has been applied in comparing real portfolios selected on the basis of different risk measures. For this purpose, weekly return data were used for a sample of stocks that are components of the STOXX Europe 600 Index for the period 2000–2020. In addition, a sensitivity analysis is performed to investigate the strength of the results of this method. It suggests that the simultaneous consideration of different performance measures and the investor’s attitude towards the importance of these measures are notably important in the portfolio efficiency estimation process.

Suggested Citation

  • Mirza Sikalo & Almira Arnaut-Berilo & Adela Delalic, 2023. "A Combined AHP-PROMETHEE Approach for Portfolio Performance Comparison," IJFS, MDPI, vol. 11(1), pages 1-15, March.
  • Handle: RePEc:gam:jijfss:v:11:y:2023:i:1:p:46-:d:1095631
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/11/1/46/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7072/11/1/46/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter Byrne & Stephen Lee, 2004. "Different Risk Measures: Different Portfolio Compositions?," Real Estate & Planning Working Papers rep-wp2004-03, Henley Business School, University of Reading.
    2. Peter Byrne & Stephen Lee, 2004. "Different Risk Measures: Different Portfolio Compositions?," ERES eres2004_516, European Real Estate Society (ERES).
    3. Mirza Sikalo & Almira Arnaut-Berilo & Azra Zaimovic, 2022. "Efficient Asset Allocation: Application of Game Theory-Based Model for Superior Performance," IJFS, MDPI, vol. 10(1), pages 1-15, March.
    4. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    5. Alireza Ghahtarani & Ahmed Saif & Alireza Ghasemi, 2021. "Robust Portfolio Selection Problems: A Comprehensive Review," Papers 2103.13806, arXiv.org, revised Jan 2022.
    6. Albadvi, Amir & Chaharsooghi, S. Kamal & Esfahanipour, Akbar, 2007. "Decision making in stock trading: An application of PROMETHEE," European Journal of Operational Research, Elsevier, vol. 177(2), pages 673-683, March.
    7. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    8. Righi, Marcelo Brutti & Borenstein, Denis, 2018. "A simulation comparison of risk measures for portfolio optimization," Finance Research Letters, Elsevier, vol. 24(C), pages 105-112.
    9. Alireza Ghahtarani & Ahmed Saif & Alireza Ghasemi, 2022. "Robust portfolio selection problems: a comprehensive review," Operational Research, Springer, vol. 22(4), pages 3203-3264, September.
    10. Ahmed Imran Hunjra & Suha Mahmoud Alawi & Sisira Colombage & Uroosa Sahito & Mahnoor Hanif, 2020. "Portfolio Construction by Using Different Risk Models: A Comparison among Diverse Economic Scenarios," Risks, MDPI, vol. 8(4), pages 1-23, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zaimovic Azra & Arnaut-Berilo Almira & Bešlija Rijad, 2024. "International Portfolio Diversification Benefits: An Empirical Investigation of the 28 European Stock Markets During the Period 2014–2024," South East European Journal of Economics and Business, Sciendo, vol. 19(1), pages 96-112.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mirza Sikalo & Almira Arnaut-Berilo & Azra Zaimovic, 2022. "Efficient Asset Allocation: Application of Game Theory-Based Model for Superior Performance," IJFS, MDPI, vol. 10(1), pages 1-15, March.
    2. Sabastine Mushori & Delson Chikobvu, 2016. "A Stochastic Multi-stage Trading Cost model in optimal portfolio selection," EERI Research Paper Series EERI RP 2016/23, Economics and Econometrics Research Institute (EERI), Brussels.
    3. Hongxun Xiang & Xia Heng & Boleng Zhai & Lichen Yang, 2024. "Digital and Culture: Towards More Resilient Urban Community Governance," Land, MDPI, vol. 13(6), pages 1-18, May.
    4. Gerda Ana Melnik-Leroy & Gintautas Dzemyda, 2021. "How to Influence the Results of MCDM?—Evidence of the Impact of Cognitive Biases," Mathematics, MDPI, vol. 9(2), pages 1-25, January.
    5. Sehgal, Ruchika & Sharma, Amita & Mansini, Renata, 2023. "Worst-case analysis of Omega-VaR ratio optimization model," Omega, Elsevier, vol. 114(C).
    6. Yannick Limmer & Blanka Horvath, 2023. "Robust Hedging GANs," Papers 2307.02310, arXiv.org.
    7. Sekine, Eiko & Yamanaka, Kazuo, 2022. "A non-probabilistic approach to efficient portfolios," International Review of Financial Analysis, Elsevier, vol. 83(C).
    8. Kurek, Katarzyna A. & Heijman, Wim & van Ophem, Johan & Gędek, Stanisław & Strojny, Jacek, 2020. "The impact of geothermal resources on the competitiveness of municipalities: evidence from Poland," Renewable Energy, Elsevier, vol. 151(C), pages 1230-1239.
    9. Mohammad Nikoo & Nafise Khorramshokouh & Shahryar Monghasemi, 2015. "Optimal Design of Detention Rockfill Dams Using a Simulation-Based Optimization Approach with Mixed Sediment in the Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5469-5488, December.
    10. Claudio Giannotti & Gianluca Mattarocci, 2013. "The Role of Risk Measures Choices in Ranking Real Estate Funds: Evidence from the Italian Market," Palgrave Macmillan Studies in Banking and Financial Institutions, in: Alessandro Carretta & Gianluca Mattarocci (ed.), Asset Pricing, Real Estate and Public Finance over the Crisis, chapter 10, pages 165-189, Palgrave Macmillan.
    11. Mehmet Yüksel, 2019. "A Model Proposal for the Evaluation of Chemistry Education in the Context of Learning Environment," Asian Journal of Education and Training, Asian Online Journal Publishing Group, vol. 5(3), pages 488-494.
    12. P. Bonami & M. A. Lejeune, 2009. "An Exact Solution Approach for Portfolio Optimization Problems Under Stochastic and Integer Constraints," Operations Research, INFORMS, vol. 57(3), pages 650-670, June.
    13. James Dolan, 2010. "Multi-Criteria Clinical Decision Support," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 3(4), pages 229-248, December.
    14. Carsten Lausberg & Stephen Lee & Moritz Müller & Cay Oertel & Tobias Schultheiß, 2020. "Risk measures for direct real estate investments with non-normal or unknown return distributions," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 6(1), pages 3-27, April.
    15. Bragge, Johanna, 2001. "Premediation analysis of the energy taxation dispute in Finland," European Journal of Operational Research, Elsevier, vol. 132(1), pages 1-16, July.
    16. Dey, Prasanta Kumar & Bhattacharya, Arijit & Ho, William, 2015. "Strategic supplier performance evaluation: A case-based action research of a UK manufacturing organisation," International Journal of Production Economics, Elsevier, vol. 166(C), pages 192-214.
    17. Haluk Gerçek & Birsen Karpak & Tülay Kılınçaslan, 2004. "A multiple criteria approach for the evaluation of the rail transit networks in Istanbul," Transportation, Springer, vol. 31(2), pages 203-228, May.
    18. Sadeghi, Mehdi & Ameli, Ahmad, 2012. "An AHP decision making model for optimal allocation of energy subsidy among socio-economic subsectors in Iran," Energy Policy, Elsevier, vol. 45(C), pages 24-32.
    19. Naief A. Aldossary & Jamal K. Alghamdi & Abdulaziz A. Alzahrani & Ali Alqahtany & Saleh H. Alyami, 2023. "Evaluation of Planned Sustainable Urban Development Projects in Al-Baha Region Using Analytical Hierarchy Process," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    20. Mustafa Hamurcu & Tamer Eren, 2020. "Strategic Planning Based on Sustainability for Urban Transportation: An Application to Decision-Making," Sustainability, MDPI, vol. 12(9), pages 1-24, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijfss:v:11:y:2023:i:1:p:46-:d:1095631. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.