Authors
Brad S Trinkle, Amelia A Baldwin
Publication date
2016/7
Source
Intelligent Systems in Accounting, Finance and Management
Volume
23
Issue
3
Pages
240-254
Description
This article identifies research opportunities in the use of artificial neural networks in credit scoring and related business intelligence situations, particularly as they have been emerging in the global economy. In the literature review, particular attention is paid to commercial lending credit risk assessment and consumer credit scoring. Investors and auditors need models that can predict whether a customer will stay viable. Lenders must manage their credit risk to maximize profits and cash flow, while minimizing losses. As the global economic recession continues, investors are tightening their investment belts and need models that help them make better investment decisions, while lenders must strengthen lending practices and better identify both good and bad credit risks. Artificial neural networks may help firms improve their credit model development, and thereby their credit decisions and profitability. Such …
Total citations
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Scholar articles
BS Trinkle, AA Baldwin - Intelligent Systems in Accounting, Finance and …, 2016