A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees
Parisa Golbayani, Ionuţ Florescu, Rupak Chatterjee
| Year of publication: |
2020
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| Authors: | Golbayani, Parisa ; Florescu, Ionuţ ; Chatterjee, Rupak |
| Published in: |
The North American journal of economics and finance : a journal of financial economics studies. - Amsterdam [u.a.] : Elsevier, ISSN 1062-9408, ZDB-ID 1289278-6. - Vol. 54.2020, p. 1-16
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| Subject: | Classification trees | Credit rating | Machine learning models | Neural networks | Support vector machine | Neuronale Netze | Mustererkennung | Pattern recognition | Kreditwürdigkeit | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Prognoseverfahren | Forecasting model | Klassifikation | Classification | Entscheidungsbaum | Decision tree |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.najef.2020.101251 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012665100