IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04786632.html
   My bibliography  Save this paper

Momentum effect on the Moroccan stock market upon the announcement of the organization of the 2030 World Cup – Analysis by abnormal returns and time series
[Effet momentum sur le marché boursier marocain lors de l'annonce de l'organisation de la Coupe du Monde 2030 – Analyse par les rendements anormaux et les séries chronologiques]

Author

Listed:
  • Rachid Maghniwi

    (UM5 - Université mohamed 5, Rabat)

  • Mustapha Oukassi

    (UM5 - Université mohamed 5, Rabat)

Abstract

This study examines the momentum effect on the Moroccan stock market following the announcement of the joint organization of the 2030 World Cup. Analyzing a sample of 75 companies listed on the Casablanca Stock Exchange, we combine an event study and time series analysis. The event study assesses cumulative abnormal returns (CARs) over 60 days around the announcement, while ARIMA-GARCH analysis examines the effect's persistence over 12 months. Results show a significant CAR of 6.5% for the overall market, with more pronounced effects in tourism (13.2%), real estate (9.8%), and telecommunications (7.6%) sectors. Time series analysis confirms the effect's persistence for about 4 months. This research provides important insights for investors and policymakers in the context of emerging markets facing major economic events.

Suggested Citation

  • Rachid Maghniwi & Mustapha Oukassi, 2024. "Momentum effect on the Moroccan stock market upon the announcement of the organization of the 2030 World Cup – Analysis by abnormal returns and time series [Effet momentum sur le marché boursier ma," Post-Print hal-04786632, HAL.
  • Handle: RePEc:hal:journl:hal-04786632
    DOI: 10.5281/zenodo.14010387
    Note: View the original document on HAL open archive server: https://hal.science/hal-04786632v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-04786632v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.5281/zenodo.14010387?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    2. Ramzi Benkraiem & Waël Louhichi & Pierre Marques, 2009. "Market reaction to sporting results The case of European listed football clubs," Post-Print halshs-00428516, HAL.
    3. Ntim, Collins G, 2012. "Why African Stock Markets Should Formally Harmonise and Integrate their Operations," MPRA Paper 45806, University Library of Munich, Germany.
    4. K. Geert Rouwenhorst, 1999. "Local Return Factors and Turnover in Emerging Stock Markets," Journal of Finance, American Finance Association, vol. 54(4), pages 1439-1464, August.
    5. Berk, Jonathan B. & van Binsbergen, Jules H., 2016. "Assessing asset pricing models using revealed preference," Journal of Financial Economics, Elsevier, vol. 119(1), pages 1-23.
    6. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    7. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    8. Clifford S. Asness & Tobias J. Moskowitz & Lasse Heje Pedersen, 2013. "Value and Momentum Everywhere," Journal of Finance, American Finance Association, vol. 68(3), pages 929-985, June.
    9. 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.
    10. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    11. Martin Mirman & Rajneesh Sharma, 2010. "Stock market reaction to Olympic Games announcement," Applied Economics Letters, Taylor & Francis Journals, vol. 17(5), pages 463-466.
    12. Alex Edmans & Diego García & Øyvind Norli, 2007. "Sports Sentiment and Stock Returns," Journal of Finance, American Finance Association, vol. 62(4), pages 1967-1998, August.
    13. Bijen Ramdas & Reinette van Gaalen & Jordy Bolton, 2015. "The announcement impact of hosting the FIFA World Cup on host country stock markets," Proceedings of Economics and Finance Conferences 2204970, International Institute of Social and Economic Sciences.
    Full references (including those not matched with items on IDEAS)

    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. Kim, Byungoh & Suh, Sangwon, 2018. "Sentiment-based momentum strategy," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 52-68.
    2. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, July.
    3. Wouassom, Alain & Muradoğlu, Yaz Gülnur & Tsitsianis, Nicholas, 2022. "Global momentum: The optimal trading approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
    4. Eero Pätäri & Timo Leivo, 2017. "A Closer Look At Value Premium: Literature Review And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(1), pages 79-168, February.
    5. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    6. JULES H. van BINSBERGEN & CHRISTIAN C. OPP, 2019. "Real Anomalies," Journal of Finance, American Finance Association, vol. 74(4), pages 1659-1706, August.
    7. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    8. Lu Zhang, 2019. "Q-factors and Investment CAPM," NBER Working Papers 26538, National Bureau of Economic Research, Inc.
    9. Paul Handro & Bogdan Dima, 2024. "Analyzing Financial Markets Efficiency: Insights from a Bibliometric and Content Review," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 119-175, May.
    10. Ray Ball & Gil Sadka & Ayung Tseng, 2022. "Using accounting earnings and aggregate economic indicators to estimate firm-level systematic risk," Review of Accounting Studies, Springer, vol. 27(2), pages 607-646, June.
    11. Ramiah, Vikash & Xu, Xiaoming & Moosa, Imad A., 2015. "Neoclassical finance, behavioral finance and noise traders: A review and assessment of the literature," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 89-100.
    12. Marie Brière & Ariane Szafarz, 2021. "When it rains, it pours: Multifactor asset management in good and bad times," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(3), pages 641-669, September.
    13. Bartram, Söhnke M. & Grinblatt, Mark, 2021. "Global market inefficiencies," Journal of Financial Economics, Elsevier, vol. 139(1), pages 234-259.
    14. Chiah, Mardy & Long, Huaigang & Zaremba, Adam & Umar, Zaghum, 2023. "Trade competitiveness and the aggregate returns in global stock markets," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
    15. Dierkes, Maik & Krupski, Jan, 2022. "Isolating momentum crashes," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 1-22.
    16. Shi, Huai-Long & Zhou, Wei-Xing, 2021. "Horse race of weekly idiosyncratic momentum strategies with respect to various risk metrics: Evidence from the Chinese stock market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    17. Amélie Charles & Olivier Darné, 2016. "Stock market reactions to FIFA World Cup announcements: An event study," Economics Bulletin, AccessEcon, vol. 36(4), pages 2028-2036.
    18. Tobek, Ondrej & Hronec, Martin, 2021. "Does it pay to follow anomalies research? Machine learning approach with international evidence," Journal of Financial Markets, Elsevier, vol. 56(C).
    19. Sandrine Jacob Leal, 2015. "Fundamentalists, chartists and asset pricing anomalies," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1837-1850, November.
    20. Michael Nofer & Oliver Hinz, 2015. "Using Twitter to Predict the Stock Market," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(4), pages 229-242, August.

    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:hal:journl:hal-04786632. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.