PL EN


2005 | 52 | 2 | 144-162
Article title

Recalculation of the first Hungarian bankruptcy-prediction model using neural networks

Authors
Content
Title variants
Languages of publication
HU
Abstracts
EN
The article attempts to say whether the latest bankruptcy prediction techniques are more reliable in Hungary's case than traditional mathematical/statistical ones. Simulation experiments carried out on the database of the first domestic bankruptcy-prediction model show clearly that neural-network models possess greater classification accuracy than the models based on discriminant analysis and logistic regression analysis elaborated in the 1990s. The article presents the main results, analyses the reasons for differences, and draws up constructive proposals for further development of domestic bankruptcy-prediction practice.
Year
Volume
52
Issue
2
Pages
144-162
Physical description
Document type
ARTICLE
Contributors
author
author
  • M. Virag, no address given, contact the journal editor
References
Document Type
Publication order reference
Identifiers
CEJSH db identifier
07HUAAAA02956032
YADDA identifier
bwmeta1.element.010c86c1-5533-3089-a6aa-4edaab42b390
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