Long-horizon predictions of credit default with inconsistent customers
Guotai Chi, Bingjie Dong, Ying Zhou, Peng Jin
| Year of publication: |
2024
|
|---|---|
| Authors: | Chi, Guotai ; Dong, Bingjie ; Zhou, Ying ; Jin, Peng |
| Published in: |
Technological forecasting and social change : an international journal. - Amsterdam [u.a.] : Elsevier Science, ISSN 0040-1625, ZDB-ID 2015184-6. - Vol. 198.2024, Art.-No. 123008, p. 1-14
|
| Subject: | Machine learning | Chinese credit market | Credit characteristics | Default prediction | Inconsistent customers | Time window | Prognoseverfahren | Forecasting model | Kreditrisiko | Credit risk | Künstliche Intelligenz | Artificial intelligence | China | Insolvenz | Insolvency | Kreditwürdigkeit | Credit rating | Kreditmarkt | Credit market | Beziehungsmarketing | Relationship marketing | Konsumentenverhalten | Consumer behaviour |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.techfore.2023.123008 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015076472