Nouveaux instruments d’évaluation pour le risque financier d’entreprise
On a wake of Basel II in 2004, banks and financial institutions had focused on the default analysis of firms. In this contribution, artificial neural networks are used for extracting balance-sheet variables determining the default of enterprises on a base of prospective vision. A manufacturing sample and a services one are introduced in the network and then analysed. In this way, the goal has been to show that artificial neural networks were good tools for classifying firms on a base of balance-sheet data. Moreover, these models are also able to underline indices determining the default risk of firm.
|Date of creation:||Jun 2008|
|Contact details of provider:|| Postal: Via Real Collegio, 30 10024 - Moncalieri TO|
Web page: http://www.ceris.cnr.it/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kar Yan Tam & Melody Y. Kiang, 1992. "Managerial Applications of Neural Networks: The Case of Bank Failure Predictions," Management Science, INFORMS, vol. 38(7), pages 926-947, July.
- Pamela K. Coats & L. Franklin Fant, 1993. "Recognizing Financial Distress Patterns Using a Neural Network Tool," Financial Management, Financial Management Association, vol. 22(3), Fall.
When requesting a correction, please mention this item's handle: RePEc:csc:cerisp:200801. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Enrico Viarisio)or (Anna Perin) or (Giancarlo Birello)
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.