IDEAS home Printed from https://ideas.repec.org/a/bla/jfinan/v26y1971i2p347-56.html
   My bibliography  Save this article

Towards a Theory of Financial Distress

Author

Listed:
  • Gordon, Myron J

Abstract

No abstract is available for this item.

Suggested Citation

  • Gordon, Myron J, 1971. "Towards a Theory of Financial Distress," Journal of Finance, American Finance Association, vol. 26(2), pages 347-356, May.
  • Handle: RePEc:bla:jfinan:v:26:y:1971:i:2:p:347-56
    as

    Download full text from publisher

    File URL: http://links.jstor.org/sici?sici=0022-1082%28197105%2926%3A2%3C347%3ATATOFD%3E2.0.CO%3B2-M&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. Vuong, Giang Thi Huong & Nguyen, Phuc Van & Barky, Walid & Nguyen, Manh Huu, 2024. "Stock return volatility and financial distress: Moderating roles of ownership structure, managerial ability, and financial constraints," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 634-652.
    2. Bertrand, Jean-Louis & Parnaudeau, Miia, 2019. "Understanding the economic effects of abnormal weather to mitigate the risk of business failures," Journal of Business Research, Elsevier, vol. 98(C), pages 391-402.
    3. Forgione, Antonio Fabio & Migliardo, Carlo, 2018. "Forecasting distress in cooperative banks: The role of asset quality," International Journal of Forecasting, Elsevier, vol. 34(4), pages 678-695.
    4. Bertrand, Jean-Louis & Brusset, Xavier & Chabot, Miia, 2021. "Protecting franchise chains against weather risk: A design science approach," Journal of Business Research, Elsevier, vol. 125(C), pages 187-200.
    5. Ostermark, Ralf & Skrifvars, Hans & Westerlund, Tapio, 2000. "A nonlinear mixed integer multiperiod firm model," International Journal of Production Economics, Elsevier, vol. 67(2), pages 183-199, September.
    6. Lei Ruan & Heng Liu, 2021. "Financial Distress Prediction Using GA-BP Neural Network Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(3), pages 1-1, March.
    7. Li, Li & Chen, Hongyi & Xiang, Jingjie, 2023. "Oil price uncertainty, financial distress and real economic activities: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 81(C).

    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:26:y:1971:i:2:p:347-56. 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.