IDEAS home Printed from https://ideas.repec.org/a/cuf/journl/y2000v1i1p79-100.html
   My bibliography  Save this article

Investment Horizon and the Cross Section of Expected Returns: Evidence from the Tokyo Stock Exchange

Author

Listed:
  • Pin-Huang Chou

    (Department of Finance, National Central University)

  • Yuan-Lin Hsu

    (Department of Finance, National Chengchi University)

  • Guofu Zhou

    (Olin School of Business, Washington University)

Abstract

Using data from the Tokyo Stock Exchange, we study how beta, size, and ratio of book to market equity (BE/ME) account for the cross-section of expected stock returns over different lengths of investment horizons. We find that $\beta$, adjusted for infrequent trading or not, fails to explain the cross-section of monthly expected returns, but does a much better job for horizons over half- and one-year. However, either the size or the BE/ME alone is still a significant factor in explaining the cross-section expected returns, but the size significance diminishes for longer horizons when $\beta$ is included as an additional independent variable.

Suggested Citation

  • Pin-Huang Chou & Yuan-Lin Hsu & Guofu Zhou, 2000. "Investment Horizon and the Cross Section of Expected Returns: Evidence from the Tokyo Stock Exchange," Annals of Economics and Finance, Society for AEF, vol. 1(1), pages 79-100, May.
  • Handle: RePEc:cuf:journl:y:2000:v:1:i:1:p:79-100
    as

    Download full text from publisher

    File URL: http://www.aeconf.net/Articles/May2000/aef010105.pdf
    Download Restriction: no

    File URL: http://down.aefweb.net/AefArticles/aef010105.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Investment horizon; Beta; Size; Book-to-market equity; CAPM;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:cuf:journl:y:2000:v:1:i:1:p:79-100. 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: Qiang Gao (email available below). General contact details of provider: https://edirc.repec.org/data/emcufcn.html .

    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.