IDEAS home Printed from https://ideas.repec.org/a/ase/jgpgta/v5y2016i2p67-75id153.html
   My bibliography  Save this article

Predict the Ruture Returns of Shares. CAPM vs Multifactor Approach

Author

Listed:
  • Carlo Mastrosimone

Abstract

The Capital Asset Pricing Model is a milestone of the forecasting process of the company’s returns by allowing investors to make a prediction of the returns of their investments. However, this model is based on several assumptions that are deemed to be unrealistic, such as the true market portfolio which is impossible to observe in the financial market, and for this reason financial researchers have tried to find other methods with the purpose to overcome the limits of the Capital Asset Pricing Model. Nowadays the alternatives are the Arbitrage Pricing Theory and the Multifactor Approach. The first one affirms that it is possible to predict the expected returns of a securities by analysing the responsiveness to disparate macro-economic factors. The latter allows to consider other factors which can affect the returns’ trend such as the size of the firms, the earnings – price ratio (E/P), the book to market equity ratio (BE/ME) or the cash flow – price ratio (C/P). The main advantage of the Multifactor Approach is that the market portfolio or index is not considered the main source of information, but other accounting features can be introduced in the forecast process of the returns. Nevertheless, it seems impossible to say which is the best models that can explain in a proper way the stocks’ returns.

Suggested Citation

  • Carlo Mastrosimone, 2016. "Predict the Ruture Returns of Shares. CAPM vs Multifactor Approach," Journal Global Policy and Governance, Transition Academia Press, vol. 5(2), pages 67-75.
  • Handle: RePEc:ase:jgpgta:v:5:y:2016:i:2:p:67-75:id:153
    as

    Download full text from publisher

    File URL: https://transitionacademiapress.org/jgpg/article/view/153/101
    Download Restriction: Access to full texts is restricted to Journal Global Policy and Governance
    ---><---

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

    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:ase:jgpgta:v:5:y:2016:i:2:p:67-75:id:153. 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: Giorgio Dominese (email available below). General contact details of provider: https://transitionacademiapress.org/jgpg/ .

    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.