IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i6p649-d519533.html
   My bibliography  Save this article

A Multicriteria Extension of the Efficient Market Hypothesis

Author

Listed:
  • Francisco Salas-Molina

    (Department of Management “Juan José Renau Piqueras”, Faculty of Economics, Universitat de València, Av. Tarongers s/n, 46022 Valencia, Spain)

  • David Pla-Santamaria

    (Department of Economics and Social Sciences, Higher Polytechnic School of Alcoy, Universitat Politècnica de València, Ferrándiz y Carbonell, 03801 Alcoy, Spain)

  • Fernando Mayor-Vitoria

    (Department of Economics and Social Sciences, Higher Polytechnic School of Alcoy, Universitat Politècnica de València, Ferrándiz y Carbonell, 03801 Alcoy, Spain)

  • Maria Luisa Vercher-Ferrandiz

    (Department of Economics and Social Sciences, Higher Polytechnic School of Alcoy, Universitat Politècnica de València, Ferrándiz y Carbonell, 03801 Alcoy, Spain)

Abstract

Challenging the Efficient Market Hypothesis (EMH) has been a recurrent topic for researchers and practitioners since its formulation. Hundreds of empirical studies claim to either prove or disprove the EMH by means of a number of heterogeneous methods. Even though the EMH is usually adjusted to a measure of risk, there is a lack of a formal analysis within a multiple-criteria context. In this paper, we propose a extension of the EMH that accommodates the foundations of multiple-criteria decision analysis. To this end, we rely on a family of parametric signed dissimilarity measures to assess multidimensional performance differences. Since normalization is a critical step in our approach to avoid meaningless comparisons, we present two novel theoretical results connecting different normalization techniques. This multicriteria extension provides a common framework on which to add empirical evidence regarding the EMH testing.

Suggested Citation

  • Francisco Salas-Molina & David Pla-Santamaria & Fernando Mayor-Vitoria & Maria Luisa Vercher-Ferrandiz, 2021. "A Multicriteria Extension of the Efficient Market Hypothesis," Mathematics, MDPI, vol. 9(6), pages 1-16, March.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:6:p:649-:d:519533
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/6/649/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/6/649/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giuseppe Munda, 2016. "Multiple Criteria Decision Analysis and Sustainable Development," International Series in Operations Research & Management Science, in: Salvatore Greco & Matthias Ehrgott & José Rui Figueira (ed.), Multiple Criteria Decision Analysis, edition 2, chapter 0, pages 1235-1267, Springer.
    2. Ana Garcia-Bernabeu & Adolfo Hilario-Caballero & David Pla-Santamaria & Francisco Salas-Molina, 2020. "A Process Oriented MCDM Approach to Construct a Circular Economy Composite Index," Sustainability, MDPI, vol. 12(2), pages 1-14, January.
    3. David Peón & Manel Antelo & Anxo Calvo, 2019. "A guide on empirical tests of the EMH," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 18(2), pages 268-295, March.
    4. Maria Rosa Borges, 2010. "Efficient market hypothesis in European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 16(7), pages 711-726.
    5. Aditya Sharma & Arya Kumar, 2019. "A review paper on behavioral finance: study of emerging trends," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 12(2), pages 137-157, May.
    6. Francisco Salas-Molina, 2021. "A formal specification of multicriteria economics," Operational Research, Springer, vol. 21(4), pages 2627-2650, December.
    7. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    8. Francisco Salas-Molina & David Pla-Santamaria & Ana Garcia-Bernabeu & Javier Reig-Mullor, 2019. "A Compact Representation of Preferences in Multiple Criteria Optimization Problems," Mathematics, MDPI, vol. 7(11), pages 1-16, November.
    9. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    10. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    11. González-Pachón, Jacinto & Romero, Carlos, 2016. "Bentham, Marx and Rawls ethical principles: In search for a compromise," Omega, Elsevier, vol. 62(C), pages 47-51.
    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. Antonio Jiménez-Martín, 2022. "Special Issue “Recent Advances and Applications in Multi Criteria Decision Analysis”," Mathematics, MDPI, vol. 10(13), pages 1-3, July.

    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. Jitka Veselá & Alžběta Zíková, 2022. "Are the Czech, Polish, German and Dutch markets taking a random walk? [Konají český, polský, německý a nizozemský trh náhodnou procházku?]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2022(2), pages 19-38.
    2. Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling Mean the German Financial Market is Efficient?," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 4(2), pages 111-125.
    3. Khatab Alqararah, 2023. "Assessing the robustness of composite indicators: the case of the Global Innovation Index," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-22, December.
    4. Urquhart, Andrew & Hudson, Robert, 2013. "Efficient or adaptive markets? Evidence from major stock markets using very long run historic data," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 130-142.
    5. Vasile Brătian & Ana-Maria Acu & Camelia Oprean-Stan & Emil Dinga & Gabriela-Mariana Ionescu, 2021. "Efficient or Fractal Market Hypothesis? A Stock Indexes Modelling Using Geometric Brownian Motion and Geometric Fractional Brownian Motion," Mathematics, MDPI, vol. 9(22), pages 1-20, November.
    6. Borkowski, Bolesław & Krawiec, Monika & Karwański, Marek & Szczesny, Wiesław & Shachmurove, Yochanan, 2021. "Modeling garch processes in base metals returns using panel data," Resources Policy, Elsevier, vol. 74(C).
    7. Boya, Christophe M., 2019. "From efficient markets to adaptive markets: Evidence from the French stock exchange," Research in International Business and Finance, Elsevier, vol. 49(C), pages 156-165.
    8. Bock, J. & Geissel, S., 2024. "Evolution of stock market efficiency in Europe: Evidence from measuring periods of inefficiency," Finance Research Letters, Elsevier, vol. 62(PA).
    9. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2019. "Sigma-Mu efficiency analysis: A methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 278(3), pages 942-960.
    10. Fernanda Cortegoso Oliveira Frascareli & Marcelo Furlan & Enzo Barberio Mariano & Daniel Jugend, 2024. "A macro-level circular economy index: theoretical proposal and application in European Union countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18297-18331, July.
    11. Akber, Ushna & Muhammad, Nabeel, 2013. "Is Pakistan Stock Market moving towards Weak-form efficiency? Evidence from the Karachi Stock Exchange and the Random Walk Nature of free-float of shares of KSE 30 Index," MPRA Paper 49128, University Library of Munich, Germany.
    12. Aumeboonsuke, Vesarach & Dryver, Arthur L., 2014. "The importance of using a test of weak-form market efficiency that does not require investigating the data first," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 350-357.
    13. Xu, Hedong & Tian, Cunzhi & Ye, Wenxing & Fan, Suohai, 2018. "Effects of investors’ power correlations in the power-based game on networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 424-432.
    14. Feyyaz Zeren & Filiz Konuk, 2013. "Testing The Random Walk Hypothesis For Emerging Markets: Evidence From Linear And Non-Linear Unit Root Tests," Romanian Economic Business Review, Romanian-American University, vol. 8(4), pages 61-71, december.
    15. Paola Annoni & Manuela Scioni, 2022. "The Unbalance Penalisation Method for Metrics of Social Progress," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(3), pages 1093-1115, August.
    16. Ghada Abbas, 2014. "Testing Random Walk Behavior in the Damascus Securities Exchange," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(4), pages 317-325, October.
    17. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Some Further Evidence on the Behaviour of Stock Returns in India," MPRA Paper 48518, University Library of Munich, Germany.
    18. Ewa Roszkowska & Marzena Filipowicz-Chomko & Tomasz Wachowicz, 2020. "Using individual and common reference points to measure the performance of alternatives in multiple criteria evaluation," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(3), pages 77-96.
    19. Samuel Showalter & Jeffrey Gropp, 2019. "Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning," Papers 1909.05151, arXiv.org.
    20. Md. Abu HASAN, 2017. "Efficiency and Volatility of the Stock Market in Bangladesh: A Macroeconometric Analysis," Turkish Economic Review, KSP Journals, vol. 4(2), pages 239-249, June.

    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:jmathe:v:9:y:2021:i:6:p:649-:d:519533. 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.