IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v12y2002i6p395-403.html
   My bibliography  Save this article

Margin requirements, positive feedback trading, and stock return autocorrelations: the case of Japan

Author

Listed:
  • Toshiaki Watanabe

Abstract

This article examines the pattern of autocorrelation of daily stock index returns in the Tokyo Stock Exchange (TSE) by estimating the two variants of the EGARCH model by Nelson (1991). We confirm the findings by Sentana and Wadhwani (1992) and Koutmos (1997) that stock returns exhibit positive autocorrelation when volatility is low but they exhibit negative autocorrelation when volatility is rather high, and that stock returns are more negatively autocorrelated after price declines than after price rises. Evidence is also found that an increase in margin requirements makes stock returns more positively autocorrelated, which contrasts with Sentana and Wadhwani (1992) who were unable to detect any effect of margin requirements on the autocorrelation of returns in the US stock market.

Suggested Citation

  • Toshiaki Watanabe, 2002. "Margin requirements, positive feedback trading, and stock return autocorrelations: the case of Japan," Applied Financial Economics, Taylor & Francis Journals, vol. 12(6), pages 395-403.
  • Handle: RePEc:taf:apfiec:v:12:y:2002:i:6:p:395-403
    DOI: 10.1080/09603100110090163
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100110090163
    Download Restriction: Access to full text is restricted to subscribers.

    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. Chen, Carl R. & Su, Yuli & Huang, Ying, 2008. "Hourly index return autocorrelation and conditional volatility in an EAR-GJR-GARCH model with generalized error distribution," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 789-798, September.
    2. Schuppli, Michael & Bohl, Martin T., 2010. "Do foreign institutional investors destabilize China's A-share markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(1), pages 36-50, February.
    3. Michael Schuppli & Martin T. Bohl, 2009. "Do Foreign Institutional Investors Destabilize China’s A-Share Markets?," CQE Working Papers 0909, Center for Quantitative Economics (CQE), University of Muenster.
    4. Gebka, Bartosz & Henke, Harald & Bohl, Martin T., 2006. "Institutional trading and stock return autocorrelation: Empirical evidence on Polish pension fund investors' behavior," Global Finance Journal, Elsevier, vol. 16(3), pages 233-244, March.
    5. Charteris, Ailie & Chau, Frankie & Gavriilidis, Konstantinos & Kallinterakis, Vasileios, 2014. "Premiums, discounts and feedback trading: Evidence from emerging markets' ETFs," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 80-89.
    6. Salm, Christian A. & Schuppli, Michael, 2010. "Positive feedback trading in stock index futures: International evidence," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 313-322, December.
    7. B. D. Craven & Sardar M. N. Islam, 2015. "Stock Price Modeling: Separation of Trend and Fluctuations, and Implications," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-12, December.
    8. Henryk Gurgul & Pawel Majdosz, 2006. "The impact of institutional investors on risk and stock return autocorrelation in the context of the polish pension reform," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 2, pages 5-30.

    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:taf:apfiec:v:12:y:2002:i:6:p:395-403. 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: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAFE20 .

    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.