Ceris-Cnr, W.P. N° 01/2008 

Nouveaux instruments d’évaluation pour le risque financier d’entreprise

 [New methodologies for the evaluation of default risk of firms]

Greta Falavigna

Dr. en Economics and Technology Management
Ceris-CNR (Conseil National de Recherche),
rue Real Collegio 30, 10024 Moncalieri, Turin, Italie
Telephone: 011/6824941; Fax: 011/6824966
E-mail: G.Falavigna@ceris.cnr.it; Web: www.ceris.cnr.it

 

Abstract. 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.

 Keywords: Artificial neural networks (ANN), Determinant variables, Default risk, Manufacturing industry, Service industry.

JEL Codes: C63, G33, L60, L63

 

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