Machine learning and credit risk : empirical evidence from small- and mid-sized businesses
Year of publication: |
2023
|
---|---|
Authors: | Bitetto, Alessandro ; Cerchiello, Paola ; Filomeni, Stefano ; Tanda, Alessandra ; Tarantino, Barbara |
Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 90.2023, p. 1-9
|
Subject: | Credit rating | Historical random forest | Invoice lending | Machine learning | Relationship banking | SMB | Künstliche Intelligenz | Artificial intelligence | Kreditrisiko | Credit risk | KMU | SME | Kreditwürdigkeit | Kreditgeschäft | Bank lending |
-
Machine learning and credit risk : empirical evidence from SMEs
Bitetto, Alessandro, (2021)
-
Can we trust machine learning to predict the credit risk of small businesses?
Bitetto, Alessandro, (2024)
-
Fintech credit risk assessment for SMEs : evidence from China
Huang, Yiping, (2020)
- More ...
-
Machine learning and credit risk : empirical evidence from SMEs
Bitetto, Alessandro, (2021)
-
Can we trust machine learning to predict the credit risk of small businesses?
Bitetto, Alessandro, (2024)
-
Understanding corporate default using Random Forest : the role of accounting and market information
Bitetto, Alessandro, (2021)
- More ...