IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v42y1987i1p11-28.html
   My bibliography  Save this article

Autoregressive Modeling of Earnings-Investment Causality

Author

Listed:
  • Bar Yosef, Sasson
  • Callen, Jeffrey L
  • Livnat, Joshua

Abstract

The purpose of this paper is to empirically test the relationships between corporate earnings and investment. In particular, the study investigates whether knowledge of past investments improves the prediction of future earnings beyond predictions that are based on past earnings alone. Similarly, it investigates whether knowledge of past earnings improve the prediction of future investments beyond knowledge of past investments alone. This is the empirical definition of Granger causality. The empirical results show that the bivariate past series of earnings and investments is superior to the univariate series in predicting future investment, but not in predicting future earnings. Copyright 1987 by American Finance Association.

Suggested Citation

  • Bar Yosef, Sasson & Callen, Jeffrey L & Livnat, Joshua, 1987. "Autoregressive Modeling of Earnings-Investment Causality," Journal of Finance, American Finance Association, vol. 42(1), pages 11-28, March.
  • Handle: RePEc:bla:jfinan:v:42:y:1987:i:1:p:11-28
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0022-1082%28198703%2942%3A1%3C11%3AAMOEC%3E2.0.CO%3B2-R&origin=repec
    File Function: full text
    Download Restriction: Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
    ---><---

    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. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    2. Callen, Jeffrey L., 2015. "A selective critical review of financial accounting research," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 26(C), pages 157-167.
    3. Sungsoo Kim & Amitav Saha & Sudipta Bose, 2021. "Do capital expenditures influence earnings performance: Evidence from lossā€making firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 2539-2575, April.
    4. Ghosh, Suvankar & Troutt, Marvin D. & Thornton, John H. & Felix Offodile, O., 2010. "An empirical method for assessing the research relevance gap," European Journal of Operational Research, Elsevier, vol. 201(3), pages 942-948, March.
    5. DiMaria, charles-henri, 2023. "Profitability, investment and capital productivity," MPRA Paper 118640, University Library of Munich, Germany.
    6. Igor Stubelj, 2014. "Investment and Profits: Causality Analysis in Selected EU Countries," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 12(4 (Winter), pages 395-413.
    7. Trofimov, Ivan D., 2022. "Determinants of the profit rates in the OECD economies: A panel data analysis of the Kalecki's profit equation," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 380-397.
    8. Emeka T. Nwaeze & Simon S. M. Yang & Q. Jennifer Yin, 2006. "Accounting Information and CEO Compensation: The Role of Cash Flow from Operations in the Presence of Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 23(1), pages 227-265, March.

    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:bla:jfinan:v:42:y:1987:i:1:p:11-28. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/afaaaea.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.