IDEAS home Printed from https://ideas.repec.org/a/aea/jecper/v1y1987i1p197-201.html
   My bibliography  Save this article

The January Effect

Author

Listed:
  • Thaler, Richard H

Abstract

No abstract is available for this item.

Suggested Citation

  • Thaler, Richard H, 1987. "The January Effect," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 197-201, Summer.
  • Handle: RePEc:aea:jecper:v:1:y:1987:i:1:p:197-201
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0895-3309%28198722%291%3A1%3C197%3AATJE%3E2.0.CO%3B2-2&origin=bc
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Pierdzioch, Christian & Döpke, Jörg & Hartmann, Daniel, 2008. "Forecasting stock market volatility with macroeconomic variables in real time," Journal of Economics and Business, Elsevier, vol. 60(3), pages 256-276.
    2. B Harrison & D Paton, 2007. "Do fat tails matter in GARCH estimation: testing market efficiency in two transition economies," Economic Issues Journal Articles, Economic Issues, vol. 12(2), pages 15-26, September.
    3. Döpke, Jörg & Hartmann, Daniel & Pierdzioch, Christian, 2008. "Real-time macroeconomic data and ex ante stock return predictability," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 274-290.
    4. Ercan Balaban, 1995. "January Effect, Yes. What About Mark Twain Effect?," Discussion Papers 9509, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    5. Barry Harrison & David Paton, 2004. "Do ‘Fat Tails’ Matter in GARCH Estimation? Stock Market Efficiency in Romania and the Czech Republic," Working Papers 2004/3, Nottingham Trent University, Nottingham Business School, Economics Division.
    6. A. Gregoriou & A. Kontonikas & N. Tsitsianis, 2004. "Does the day of the week effect exist once transaction costs have been accounted for? Evidence from the UK," Applied Financial Economics, Taylor & Francis Journals, vol. 14(3), pages 215-220.
    7. 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.
    8. Holden, Ken & Thompson, John & Ruangrit, Yuphin, 2005. "The Asian crisis and calendar effects on stock returns in Thailand," European Journal of Operational Research, Elsevier, vol. 163(1), pages 242-252, May.
    9. 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.
    10. Stephen F. LeRoy, 1990. "Capital market efficiency: an update," Economic Review, Federal Reserve Bank of San Francisco, issue Spr, pages 29-40.
    11. Magnus Dahlquist & Peter Sellin, 1996. "Stochastic dominance, tax-loss selling and seasonalities in Sweden," The European Journal of Finance, Taylor & Francis Journals, vol. 2(1), pages 1-19.
    12. Dimitris Kenourgios & Aristeidis Samitas & Spyros Papathanasiou, 2005. "The Day of the Week Effect Patterns on Stock Market Return and Volatility: Evidence for the Athens Stock Exchange," Finance 0512028, University Library of Munich, Germany.
    13. Hartmann, Daniel & Pierdzioch, Christian, 2007. "Exchange rates, interventions, and the predictability of stock returns in Japan," Journal of Multinational Financial Management, Elsevier, vol. 17(2), pages 155-172, April.

    More about this item

    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:aea:jecper:v:1:y:1987:i:1:p:197-201. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael P. Albert). General contact details of provider: http://edirc.repec.org/data/aeaaaea.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.