IDEAS home Printed from https://ideas.repec.org/a/taf/ujbmxx/v53y2015i2p340-354.html
   My bibliography  Save this article

Which Characteristics Predict the Survival of Insolvent Firms? An SME Reorganization Prediction Model

Author

Listed:
  • Maria‐del‐mar Camacho‐miñano
  • Maria‐jesus Segovia‐vargas
  • David Pascual‐ezama

Abstract

The negative impact of insolvency, especially in small and medium enterprises, informs the objective of this paper: to study the characteristics of bankrupt firms to achieve a preventive diagnosis for reorganization by means of artificial intelligence () methodologies such as rough set and methods. The models obtained show not only the key variables to predict insolvency, but also their relations and the critical values. Using only five firm characteristics (sector, size, number of shareholdings, return on assets, and cash ratio), our model could reduce delays and costs, since it is able to predict which firms will undergo reorganization or liquidation before the legal procedure.

Suggested Citation

  • Maria‐del‐mar Camacho‐miñano & Maria‐jesus Segovia‐vargas & David Pascual‐ezama, 2015. "Which Characteristics Predict the Survival of Insolvent Firms? An SME Reorganization Prediction Model," Journal of Small Business Management, Taylor & Francis Journals, vol. 53(2), pages 340-354, April.
    • Handle: RePEc:taf:ujbmxx:v:53:y:2015:i:2:p:340-354
    DOI: 10.1111/jsbm.12076
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/jsbm.12076
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1111/jsbm.12076?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 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:taf:ujbmxx:v:53:y:2015:i:2:p:340-354. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/ujbm .

    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.