How do machine learning and non-traditional data affect credit scoring? : new evidence from a Chinese fintech firm
by Leonardo Gambacorta, Yiping Huang, Han Qiu and Jingyi Wang
| Year of publication: |
2019
|
|---|---|
| Authors: | Gambacorta, Leonardo ; Huang, Yiping ; Qiu, Han ; Wang, Jingyi |
| Publisher: |
[Basel] : Bank for International Settlements, Monetary and Economic Department |
| Subject: | fintech | credit scoring | non-traditional information | machine learning | credit risk | Künstliche Intelligenz | Artificial intelligence | Kreditwürdigkeit | Credit rating | Finanztechnologie | Financial technology | Kreditrisiko | Credit risk | China | Kreditgeschäft | Bank lending |
freely available
| Extent: | 1 Online-Ressource (circa 24 Seiten) Illustrationen |
|---|---|
| Series: | Working papers / Bank for International Settlements. - Basle, ISSN 1682-7678, ZDB-ID 2467027-3. - Vol. no 834 (December 2019) |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012168943