Analysis and forecasting models for default risk. A survey of applied methodologies
During the last three decades various models have been proposed by the literature to predict the risk of bankruptcy and of firm insolvency, which make use of structural and empirical tools, namely rating system, credit scoring, option pricing and three alternative methods (fuzzy logic, efficient frontier and a forward looking model).In the present paper we focus on experting systems of neural networks, by taking into account theoretical as well as empirical literature on the topic.Adding to this literature, a set of alternative indicators is proposed that can be used in addition to traditional financial ratios.
|Date of creation:||Dec 2004|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.ceris.cnr.it/
More information through EDIRC
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.:
- Alessandro Sembenelli & Laura Rondi & Fabio Schiantarelli & Brian Sack, 1993. "Firms' Financial And Real Responses To Business Cycle Shocks And Monetary Tightening: Evidence For Large And Small Italian Companies," CERIS Working Paper 199305, Institute for Economic Research on Firms and Growth - Moncalieri (TO).
When requesting a correction, please mention this item's handle: RePEc:csc:cerisp:200417. 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 references are entirely missing, you can add them using this form.