IDEAS home Printed from https://ideas.repec.org/a/rje/bellje/v4y1973ispringp184-211.html
   My bibliography  Save this article

Predicting Railroad Bankruptcies in America

Author

Listed:
  • Edward I. Altman

Abstract

The purpose of this paper is to discuss the urgent need for an early-warning system covering the historically failure-prone railroad industry and to develop a tool for providing such a system. A multivariate statistical technique called linear discriminant analysis is utilized to identify and quantify those financial measures which are effective indicators of bankruptcies. A model which combined several financial statement ratios proved to be extremely accurate in predicting railroad bankruptcies at one and two annual financial statement dates prior to failure. Subsequent tests on additional railroad samples confirm the validity of the model. Finally, currently existing railroads in America are assessed for their bankruptcy potential by this diagnostic model.

Suggested Citation

  • Edward I. Altman, 1973. "Predicting Railroad Bankruptcies in America," Bell Journal of Economics, The RAND Corporation, vol. 4(1), pages 184-211, Spring.
  • Handle: RePEc:rje:bellje:v:4:y:1973:i:spring:p:184-211
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0005-8556%28197321%294%3A1%3C184%3APRBIA%3E2.0.CO%3B2-L&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.

    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:rje:bellje:v:4:y:1973:i:spring:p:184-211. 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: the person in charge (email available below). General contact details of provider: https://www.rje.org .

    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.