IDEAS home Printed from https://ideas.repec.org/a/asi/aeafrj/v3y2013i11p1405-1418id1097.html
   My bibliography  Save this article

Application of Computed Financial Ratios in Fraud Detection Modelling: A Study of Selected Banks in Nigeria

Author

Listed:
  • Egbunike Patrick Amaechi
  • Ezeabasili Vincent Nnanyereugo

Abstract

The study examines the application of computed financial ratios in fraud detection modeling using existing Financial Ratio Models with a view to detecting their capabilities in application in Nigerian banking system. Data were collected from published accounts and reports of 20 sampled banks between 2004 -2008, a 5 year period- preceding year and the fraud year. Logistic Regression was used in analyzing the collected data. The study revealed 16 significant ratios out of 29 financial ratios used for the study as being capable of aiding detection of fraud in the financial statements of banks. Consequently, it is recommended that auditors who are eager to look into the possibility of detecting false financial statements can adopt it and save endless time in search for possible red flags.

Suggested Citation

  • Egbunike Patrick Amaechi & Ezeabasili Vincent Nnanyereugo, 2013. "Application of Computed Financial Ratios in Fraud Detection Modelling: A Study of Selected Banks in Nigeria," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(11), pages 1405-1418.
  • Handle: RePEc:asi:aeafrj:v:3:y:2013:i:11:p:1405-1418:id:1097
    as

    Download full text from publisher

    File URL: https://archive.aessweb.com/index.php/5002/article/view/1097/1605
    Download Restriction: no
    ---><---

    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:asi:aeafrj:v:3:y:2013:i:11:p:1405-1418:id:1097. 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: Robert Allen (email available below). General contact details of provider: https://archive.aessweb.com/index.php/5002/ .

    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.