IDEAS home Printed from https://ideas.repec.org/a/bla/jbfnac/v20y1993i3p457-464.html

A Note On The Optimal Cutoff Point In Bankruptcy Prediction Models

Author

Listed:
  • Su‐Jane Hsieh

Abstract

A modified Bayesian decision model is derived in the study to systematically estimate an optimal cutoff point for bankruptcy prediction models. In addition, a loss function is implemented in the model so that the total error costs instead of the total error probability is minimized. Any dichotomous classification problem with unequal error costs would find this decision model useful.

Suggested Citation

  • Su‐Jane Hsieh, 1993. "A Note On The Optimal Cutoff Point In Bankruptcy Prediction Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 20(3), pages 457-464, April.
  • Handle: RePEc:bla:jbfnac:v:20:y:1993:i:3:p:457-464
    DOI: 10.1111/j.1468-5957.1993.tb00268.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-5957.1993.tb00268.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1468-5957.1993.tb00268.x?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
    ---><---

    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:jbfnac:v:20:y:1993:i:3:p:457-464. 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: http://www.blackwellpublishing.com/journal.asp?ref=0306-686X .

    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.