The value of text for small business default prediction : a deep learning approach
Year of publication: |
2021
|
---|---|
Authors: | Stevenson, Matthew ; Mues, Christophe ; Bravo, Cristián |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 295.2021, 2 (1.12.), p. 758-771
|
Subject: | OR in banking | Risk analysis | Deep Learning | Text mining | Small business lending | KMU | SME | Kreditrisiko | Credit risk | Kreditgeschäft | Bank lending | Künstliche Intelligenz | Artificial intelligence | Bankrisiko | Bank risk | Data Mining | Data mining | Text |
-
Sigrist, Fabio Roman Albert, (2023)
-
Mining semantic soft factors for credit risk evaluation in peer-to-peer lending
Wang, Zhao, (2020)
-
Identifying the risk culture of banks using machine learning
Owusu, Abena, (2024)
- More ...
-
A transformer-based model for default prediction in mid-cap corporate markets
Korangi, Kamesh, (2023)
-
Enduring success : what top companies do differently
Bailom, Franz, (2007)
-
Stevenson, Matthew, (2007)
- More ...