IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-18-00973.html
   My bibliography  Save this article

Individual Investors and R^2

Author

Listed:
  • Jinghan Cai

    (University of Scranton)

  • Jia He

    (Southern University of Science and Technology)

  • Jibao He

    (Shenzhen Stock Exchange)

  • Weili Zhai

    (Shenzhen University)

Abstract

Some behavioral view of R^2 in the literature argues that lower R^2 may imply that the prices are less efficient, since lower R^2 may be the results of higher noise trader participation, and therefore the sum of squared errors is higher. This paper uses a novel dataset from Chinese stock market and directly checks the relationship between R^2 and noise trader participation. Cross-sectionally, we find no evidence supporting the negative relationship between R^2 and noise trader participation. Time-series wise, we find a case where R^2 positively comoves with noise trader participation. This paper casts doubt on the prediction that noise trader participation will lower the R^2.

Suggested Citation

  • Jinghan Cai & Jia He & Jibao He & Weili Zhai, 2019. "Individual Investors and R^2," Economics Bulletin, AccessEcon, vol. 39(1), pages 159-165.
  • Handle: RePEc:ebl:ecbull:eb-18-00973
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2019/Volume39/EB-19-V39-I1-P16.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Li, Fengyun & Petsas, Iordanis & Cai, Jinghan, 2020. "Corporate events, return synchronicity and price efficiency," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).

    More about this item

    Keywords

    individual investor; R^2; trend investor;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets

    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:ebl:ecbull:eb-18-00973. 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.

    We have no bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    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.