IDEAS home Printed from https://ideas.repec.org/a/aea/jecper/v1y1987i2p169-77.html
   My bibliography  Save this article

Seasonal Movements in Security Prices II: Weekend, Holiday, Turn of the Month, and Intraday Effects

Author

Listed:
  • Thaler, Richard H

Abstract

No abstract is available for this item.

Suggested Citation

  • Thaler, Richard H, 1987. "Seasonal Movements in Security Prices II: Weekend, Holiday, Turn of the Month, and Intraday Effects," Journal of Economic Perspectives, American Economic Association, vol. 1(2), pages 169-177, Fall.
  • Handle: RePEc:aea:jecper:v:1:y:1987:i:2:p:169-77
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0895-3309%28198723%291%3A2%3C169%3AASMISP%3E2.0.CO%3B2-3&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. Lisa A. Kramer & Mark J. Kamstra & Maurice D. Levi, 2000. "Losing Sleep at the Market: The Daylight Saving Anomaly," American Economic Review, American Economic Association, vol. 90(4), pages 1005-1011, September.
    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. Diego Winkelried & Luis A. Iberico, 2018. "Calendar effects in Latin American stock markets," Empirical Economics, Springer, vol. 54(3), pages 1215-1235, May.
    4. Sharma, Susan Sunila & Narayan, Paresh Kumar, 2014. "New evidence on turn-of-the-month effects," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 92-108.
    5. Kayacetin, Volkan & Lekpek, Senad, 2016. "Turn-of-the-month effect: New evidence from an emerging stock market," Finance Research Letters, Elsevier, vol. 18(C), pages 142-157.
    6. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2012. "Local sports sentiment and returns of locally headquartered stocks: A firm-level analysis," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 309-318.
    7. Lahav, Eyal & Shavit, Tal & Benzion, Uri, 2016. "Can't wait to celebrate: Holiday euphoria, impulsive behavior and time preference," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 128-134.
    8. 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.
    9. Dan Gabriel ANGHEL & Elena Valentina ŢILICĂ & Victor DRAGOTĂ, 2020. "Intraday Patterns in Returns on the Romanian and Bulgarian Stock Markets," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 92-114, July.
    10. Evanthia Chatzitzisi & Stilianos Fountas & Theodore Panagiotidis, 2019. "Another Look at Calendar Anomalies," Discussion Paper Series 2019_02, Department of Economics, University of Macedonia, revised Feb 2019.
    11. Joao Dionisio Monteiro & Jose Luis Miralles-Quiros & Jose Ramos Pires Manso, 2018. "Is There Seasonality in Traded and Non-Traded Period Returns in the US Equity Market? A Multiple Structural Change Approach," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(1), pages 71-98, February.
    12. Kai Li, 2014. "Asset Price Dynamics with Heterogeneous Beliefs and Time Delays," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2014.
    13. 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.
    14. Krzysztof Borowski, 2016. "Analysis Of Monthly Rates Of Return In April On The Example Of Selected World Stock Exchange Indices," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(2), pages 307-325, June.
    15. Rayenda Khresna Brahmana & Chee-Wooi Hooy & Zamri Ahmad, 2012. "Psychological factors on irrational financial decision making: Case of day-of-the week anomaly," Humanomics: The International Journal of Systems and Ethics, Emerald Group Publishing, vol. 28(4), pages 236-257, October.
    16. Elena Valentina Tilica, 2018. "Turn-of-the-month and day-of-the-week patterns: two for the price of one? The Romanian situation," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 10(1), pages 047-058, June.
    17. Guglielmo Caporale & Luis Gil-Alana & Alex Plastun & Inna Makarenko, 2016. "Intraday Anomalies and Market Efficiency: A Trading Robot Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 47(2), pages 275-295, February.
    18. Ardalan, Kavous, 2018. "Neurofinance versus the efficient markets hypothesis," Global Finance Journal, Elsevier, vol. 35(C), pages 170-176.
    19. Teng, Chia-Chen & Yang, J. Jimmy, 2018. "Chinese Lunar New Year effect, investor sentiment, and market deregulation," Finance Research Letters, Elsevier, vol. 27(C), pages 175-184.
    20. Kaustia, Markku & Rantapuska, Elias, 2016. "Does mood affect trading behavior?," Journal of Financial Markets, Elsevier, vol. 29(C), pages 1-26.
    21. Manfred Gartner, 2010. "Predicting the presidential election cycle in US stock prices: guinea pigs versus the pros," Applied Economics Letters, Taylor & Francis Journals, vol. 17(18), pages 1759-1765.
    22. Kaustia, Markku & Rantapuska, Elias, 2013. "Does mood affect trading behavior?," SAFE Working Paper Series 4, Leibniz Institute for Financial Research SAFE.
    23. Al-Nasseri, Alya & Menla Ali, Faek, 2018. "What does investors' online divergence of opinion tell us about stock returns and trading volume?," Journal of Business Research, Elsevier, vol. 86(C), pages 166-178.
    24. 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.

    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:2:p:169-77. 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.