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Author:Neves, J.C.
Vieira, A.
Title:Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization
Journal:European Accounting Review
2006 : VOL. 15:2, p. 253-271
Index terms:bankruptcy forecasting
credit
defaults
finance
risk
Language:eng
Abstract:This article aims to improve bankruptcy prediction by developing a method called Hidden Layer Learning Vector Quantization (HLVQ). According to the authors, the HLVQ method outperforms both discriminant analysis and traditional neural networks. The data studied in this paper is from French companies over the period 1998-2000.
SCIMA record nr: 261326
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