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A neural network approach for credit risk evaluation

✍ Scribed by Eliana Angelini; Giacomo di Tollo; Andrea Roli

Book ID: 113871633
Publisher: Elsevier Science
Year: 2008
Tongue: English
Weight: 619 KB
Volume: 48
Category: Article
ISSN: 1062-9769
DOI: 10.1016/j.qref.2007.04.001

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Credit-risk evaluation decisions are important for the ®nancial institutions involved due to the high level of risk associated with wrong decisions. The process of making credit-risk evaluation decision is complex and unstructured. Neural networks are known to perform reasonably well compared to alt