Analysis of the Predictors of Default for Portuguese Firms

Russ Moro

Working Papers from Banco de Portugal, Economics and Research Department

Abstract: The paper presents an insolvency risk analysis of Portuguese companies with three techniques: logistic regression, discriminant analysis and support vector machines (SVM). It identifies the most critical predictors of default based on the accounting, employee and debt concentration data. A comparison of the three methods reveals a superiority of SVM. Non-financial information such as employee data and the debt concentration index appear to be strong predictors of default.

JEL-codes: C14 C45 G33 (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (2)

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