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BWM—RAPS Approach for Evaluating and Ranking Banking Sector Companies Based on Their Financial Indicators in the Saudi Stock Market

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  • Mohammed H. Alamoudi

    (Department of Industrial Engineering, College of Engineering, King Abdulaziz University, Jeddah 80204, Saudi Arabia)

  • Omer A. Bafail

    (Department of Industrial Engineering, College of Engineering, King Abdulaziz University, Jeddah 80204, Saudi Arabia)

Abstract

Seeking the greatest possible return on long-term investments, investors naturally seek equities of the best-performing companies that fit their investment timeframe. Long-term investment success rests on selecting the best companies, which requires a challenging analysis reviewing voluminous and often-conflicting data about companies and understanding broader economic forecasts. This paper undertook a case study deployment of MCDM methodologies to examine the suitability and effectiveness of Multi-Criteria Decision-Making (MCDM) methods in assessing and ranking the best stocks for portfolio inclusion. A combination of MCDM techniques comprised a methodology to evaluate and rank Saudi Arabian banking stocks based on their performance in the Saudi stock market. Specifically, the paper combined the Best–Worst Method (BWM) and Ranking Alternatives by Perimeter Similarity (RAPS) for the analysis. BWM calculated each criterion’s relative impact (weight) in selecting a stock. RAPS then used the weighting to rank the results of the investigation. The study’s findings yielded encouraging results regarding using an integrated MCDM technique to derive optimal banking sector securities in the expansive Saudi stock market. The novel application of the robust RAPS technique combined with BWM encourages continued and increased use of MCDM techniques in financial matters and broader application in evaluating equities.

Suggested Citation

  • Mohammed H. Alamoudi & Omer A. Bafail, 2022. "BWM—RAPS Approach for Evaluating and Ranking Banking Sector Companies Based on Their Financial Indicators in the Saudi Stock Market," JRFM, MDPI, vol. 15(10), pages 1-20, October.
  • Handle: RePEc:gam:jjrfmx:v:15:y:2022:i:10:p:467-:d:944561
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    References listed on IDEAS

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    1. Audrius Kabašinskas & Francesca Maggioni & Kristina Šutienė & Eimutis Valakevičius, 2019. "A multistage risk-averse stochastic programming model for personal savings accrual: the evidence from Lithuania," Annals of Operations Research, Springer, vol. 279(1), pages 43-70, August.
    2. Petrillo, Antonella & De Felice, Fabio & García-Melón, Mónica & Pérez-Gladish, Blanca, 2016. "Investing in socially responsible mutual funds: Proposal of non-financial ranking in Italian market," Research in International Business and Finance, Elsevier, vol. 37(C), pages 541-555.
    3. Masoud Rahiminezhad Galankashi & Farimah Mokhatab Rafiei & Maryam Ghezelbash, 2020. "Portfolio selection: a fuzzy-ANP approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-34, December.
    4. Ruqayya Aljifri, 2020. "The Macroeconomy, Oil and the Stock Market: A Multiple Equation Time Series Analysis of Saudi Arabia," Economics Discussion Papers em-dp2020-27, Department of Economics, University of Reading.
    5. Mohammad Moradi & Hassan Yazdifar & Hoda Eskandar & Navid Reza Namazi, 2022. "Institutional Ownership and Investment Efficiency: Evidence from Iran," JRFM, MDPI, vol. 15(7), pages 1-17, June.
    6. Suwinto Johan, 2019. "The strategic rationale of financial institutions acquisition," Jurnal Siasat Bisnis, Management Development Centre (MDC) Department of Management, Faculty of Business and Economics Universitas Islam Indonesia, vol. 23(2), pages 91-103.
    7. Amelia Bilbao-Terol & Mar Arenas-Parra & Verónica Cañal-Fernández & Mariano Jiménez, 2016. "A sequential goal programming model with fuzzy hierarchies to sustainable and responsible portfolio selection problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(10), pages 1259-1273, October.
    8. Belaid Aouni & Michalis Doumpos & Blanca Pérez-Gladish & Ralph E. Steuer, 2018. "On the increasing importance of multiple criteria decision aid methods for portfolio selection," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(10), pages 1525-1542, October.
    9. Saqib Sharif, 2019. "How foreign investors influence stock markets? The Saudi Arabian experience," Middle East Development Journal, Taylor & Francis Journals, vol. 11(1), pages 105-123, January.
    10. Pätäri, Eero & Karell, Ville & Luukka, Pasi & Yeomans, Julian S, 2018. "Comparison of the multicriteria decision-making methods for equity portfolio selection: The U.S. evidence," European Journal of Operational Research, Elsevier, vol. 265(2), pages 655-672.
    11. Bertrand Mareschal & Daniel Mertens, 1992. "BANKS: a multicriteria decision support system for financial evaluation in the international banking sector," ULB Institutional Repository 2013/9347, ULB -- Universite Libre de Bruxelles.
    12. Chris Meier, 2018. "Aggregate Investor Confidence in the Stock Market," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 19(4), pages 421-433, October.
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