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Dimitras et al., 2017 - Google Patents

Evaluation of empirical attributes for credit risk forecasting from numerical data

Dimitras et al., 2017

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Document ID
915111396619543300
Author
Dimitras A
Papadakis S
Garefalakis A
Publication year
Publication venue
Investment management and financial innovations

External Links

Snippet

In this research, the authors proposed a new method to evaluate borrowers' credit risk and quality of financial statements information provided. They use qualitative and quantitative criteria to measure the quality and the reliability of its credit customers. Under this statement …
Continue reading at papers.ssrn.com (PDF) (other versions)

Classifications

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    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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