Understanding corporate bond defaults in Korea using machine learning models
Dojoon Park, Jun Kyung Auh, Giwan Song, Young Ho Eom
| Year of publication: |
2024
|
|---|---|
| Authors: | Park, Dojoon ; Auh, Jun Kyung ; Song, Giwan ; Eom, Young Ho |
| Published in: |
Asia-Pacific journal of financial studies. - Hoboken, NJ [u.a.] : Wiley-Blackwell, ISSN 2041-6156, ZDB-ID 2548470-9. - Vol. 53.2024, 2, p. 238-276
|
| Subject: | Accounting-based model | Corporate bond default | Credit risk | Default prediction model | Machine learning | Unternehmensanleihe | Corporate bond | Kreditrisiko | Insolvenz | Insolvency | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Südkorea | South Korea | Kreditwürdigkeit | Credit rating |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1111/ajfs.12470 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014530710