IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v65y2025i2d10.1007_s11156-024-01357-2.html
   My bibliography  Save this article

The endogeneity of profitability and investment

Author

Listed:
  • Peter Chinloy

    (Quant Advisors)

  • Matthew Imes

    (Stetson University)

Abstract

In academic research, stock returns are frequently regressed on financial variables such as profitability, value, and investment. Managers, who are incentivized through equity compensation, may make decisions which affect financial variables. If such decisions are endogenous, statistical significance in the financial variable coefficient estimates may stem from correlation rather than causation. This study presents a causality framework between U.S. firm decisions and stock returns. A set of instruments is first correlated with stock returns. When fitted values predict returns, there is a confirmed anomaly. Fitted values then replace profitability, investment, and investment growth. Return significance falls by more than half for profitability and investment, while its predicted growth is insignificant. Vector autoregressions and graphic analysis confirm the flow of causality from predicted profitability and investment to stock returns.

Suggested Citation

  • Peter Chinloy & Matthew Imes, 2025. "The endogeneity of profitability and investment," Review of Quantitative Finance and Accounting, Springer, vol. 65(2), pages 691-726, August.
  • Handle: RePEc:kap:rqfnac:v:65:y:2025:i:2:d:10.1007_s11156-024-01357-2
    DOI: 10.1007/s11156-024-01357-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11156-024-01357-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11156-024-01357-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

    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:kap:rqfnac:v:65:y:2025:i:2:d:10.1007_s11156-024-01357-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

    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.