A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees
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 | Kreditwürdigkeit | Mustererkennung | Pattern recognition | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory |
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