A data mining approach to predict companies' financial distress
Rasoul Tahmasebi, Ali Asghar Anvary Rostamy, Abbas Khorshidi and Seyyed Jalal Sadeghi Sharif
| Year of publication: |
2020
|
|---|---|
| Authors: | Tahmasebi, Rasoul ; Rostamy, Ali Asghar Anvary ; Khorshidi, Abbas ; Sharif, Seyyed Jalal Sadeghi |
| Published in: |
International journal of financial engineering. - New Jersey : World Scientific, ISSN 2424-7863, ZDB-ID 2832504-7. - Vol. 7.2020, 3, p. 1-13
|
| Subject: | data mining | Financial distress | Iranian stock market | prediction models | Prognoseverfahren | Forecasting model | Data Mining | Data mining | Insolvenz | Insolvency | Börsenkurs | Share price | Iran | Kapitaleinkommen | Capital income |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1142/S2424786320500310 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012603179