Financial distress prediction : the case of French small and medium-sized firms
Nada Mselmi, Amine Lahiani, Taher Hamza
| Year of publication: |
March 2017
|
|---|---|
| Authors: | Mselmi, Nada ; Lahiani, Amine ; Hamza, Taher |
| Published in: |
International review of financial analysis. - Amsterdam [u.a.] : Elsevier, ISSN 1057-5219, ZDB-ID 1133622-5. - Vol. 50.2017, p. 67-80
|
| Subject: | Financial distress prediction | Logit model | Artificial neural networks | Support vector machine | Partial least squares | Hybrid model | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Insolvenz | Insolvency | KMU | SME | Logit-Modell | Theorie | Theory | Mustererkennung | Pattern recognition | Frankreich | France | Partielle kleinste Quadrate | Kreditwürdigkeit | Credit rating |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.irfa.2017.02.004 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011820657