IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v11y2023i1p13-d1026091.html
   My bibliography  Save this article

The Adaptive Dynamics of the Halloween Effect: Evidence from a 120-Year Sample from a Small European Market

Author

Listed:
  • Júlio Lobão

    (Portugal School of Economics and Management and CEF.UP, University of Porto, Rua Dr. Roberto Frias, 4200-464 Porto, Portugal)

  • Ana C. Costa

    (School of Economics and Management, University of Porto, Rua Dr. Roberto Frias, 4200-464 Porto, Portugal)

Abstract

The Halloween effect predicts that stock markets in the winter months (November through April) generate significantly higher returns than in the summer months (May through October). This paper examines the time-varying behavior of the Halloween effect within a new historical dataset that covers about 120 years of Portuguese stock market history. We combine subsample analysis with rolling window analysis to show that the performance of the anomaly has varied in an adaptive fashion over time. The anomaly existed during the first four decades of the 20th century. Afterward, it vanished for 60 years, reappearing only at the beginning of the 21st century. However, in the first two decades of the new century, the effect seems to be a mere reflection of the excess return generated in January. Overall, the time-varying performance of the Halloween effect supports the adaptive market hypothesis for the Portuguese stock market.

Suggested Citation

  • Júlio Lobão & Ana C. Costa, 2023. "The Adaptive Dynamics of the Halloween Effect: Evidence from a 120-Year Sample from a Small European Market," IJFS, MDPI, vol. 11(1), pages 1-11, January.
    • Handle: RePEc:gam:jijfss:v:11:y:2023:i:1:p:13-:d:1026091
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/11/1/13/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7072/11/1/13/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haggard, K. Stephen & Witte, H. Douglas, 2010. "The Halloween effect: Trick or treat?," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 379-387, December.
    2. Ali F. Darrat & Bin Li & Benjamin Liu & Jen Je Su, 2011. "A Fresh Look at Seasonal Anomalies: An International Perspective," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 10(2), pages 93-116, August.
    3. repec:ejw:journl:v:1:y:2004:i:1:p:29-46 is not listed on IDEAS
    4. Maria Caporale, Guglielmo & Zakirova, Valentina, 2017. "Calendar anomalies in the Russian stock market," Russian Journal of Economics, Elsevier, vol. 3(1), pages 101-108.
    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. Monika Krawiec & Anna Górska, 2021. "Are soft commodities markets affected by the Halloween effect?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(12), pages 491-499.
    2. Júlio Lobão, 2019. "Seasonal anomalies in the market for American depository receipts," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 24(48), pages 241-265.
    3. Khushboo Aggarwal & Mithilesh Kumar Jha, 2023. "Stock returns seasonality in emerging asian markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 109-130, March.
    4. Peter Arendas & Viera Malacka & Maria Schwarzova, 2018. "A Closer Look at the Halloween Effect: The Case of the Dow Jones Industrial Average," IJFS, MDPI, vol. 6(2), pages 1-12, April.
    5. Benjamin R. Auer, 2019. "Does the strength of capital market anomalies exhibit seasonal patterns?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 43(1), pages 91-103, January.
    6. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    7. Degenhardt, Thomas & Auer, Benjamin R., 2018. "The “Sell in May” effect: A review and new empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 169-205.
    8. Laurens Swinkels & Pim van Vliet, 2012. "An anatomy of calendar effects," Journal of Asset Management, Palgrave Macmillan, vol. 13(4), pages 271-286, August.
    9. Plastun, Alex & Sibande, Xolani & Gupta, Rangan & Wohar, Mark E., 2020. "Halloween Effect in developed stock markets: A historical perspective," International Economics, Elsevier, vol. 161(C), pages 130-138.
    10. Matthew C. Mitchell & Muhamad Iqbal Mohd Rafi & Sean Severe & Jeffrey A. Kappen, 2014. "Conventional Vs. Islamic Finance: The Impact Of Ramadan Upon Sharia-Compliant Markets," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 5(1).
    11. Zaremba, Adam & Schabek, Tomasz, 2017. "Seasonality in government bond returns and factor premia," Research in International Business and Finance, Elsevier, vol. 41(C), pages 292-302.
    12. Samuel Mongrut & Cinzia Delfino, 2019. "Weekend effect and financial characteristics: is there any relation in Latin America?," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(PNEA), pages 509-525, Agosto 20.
    13. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.
    14. Dragos Stefan Oprea, 2014. "The Halloween Effect Evidence from Romania," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(7), pages 463-471, July.
    15. Stefanescu, Răzvan & Dumitriu, Ramona, 2020. "Introducere în analiza anomaliilor calendaristice, Partea a doua [An Introduction to the Analysis of the Calendar Anomalies, Part 2]," MPRA Paper 97961, University Library of Munich, Germany.
    16. Satria Bagus Wicaksana & Nadia Asandimitra, 2018. "Halloween Effect in Indonesia Stock 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. 8(3), pages 118-127, July.
    17. Matteo Rossi & Gabriella Marcarelli & Antonella Ferraro & Antonio Lucadamo, 2020. "How do Calendar Anomalies Affect an Investment Choice? A Proposal of an Analytic Hierarchy Process Model," International Journal of Economics and Financial Issues, Econjournals, vol. 10(1), pages 244-249.
    18. Nuray Tosunoğlu & Hilal Abacı & Gizem Ateş & Neslihan Saygılı Akkaya, 2023. "Artificial neural network analysis of the day of the week anomaly in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    19. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    20. Seif, Mostafa & Docherty, Paul & Shamsuddin, Abul, 2017. "Seasonal anomalies in advanced emerging stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 169-181.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:13-:d:1026091. 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.