The Efficacy of Red Flags in Predicting the SEC's Targets : An Artificial Neural Networks Approach
| Year of publication: |
[2018]
|
|---|---|
| Authors: | Feroz, Ehsan H. |
| Other Persons: | Kwon, Taek M. (contributor) ; Pastena, Victor (contributor) ; Park, Kyung Joo (contributor) |
| Publisher: |
[2018]: [S.l.] : SSRN |
| Description of contents: |
As a proximal precursor t ...
|
| Extent: | 1 Online-Ressource (13 p) |
|---|---|
| Type of publication: | Book / Working Paper |
| Notes: | In: International Journal of Intelligent Systems in Accounting, Finance, and Management, Vol. 9, No.3, pp.145-157, September 2000 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 1, 2008 erstellt |
| Classification: | C40 - Econometric and Statistical Methods: Special Topics. General ; C45 - Neural Networks and Related Topics ; G18 - Government Policy and Regulation ; G28 - Government Policy and Regulation ; G38 - Government Policy and Regulation ; K22 - Corporation and Securities Law ; K23 - Regulated Industries and Administrative Law ; L51 - Economics of Regulation ; M40 - Accounting and Auditing. General ; M41 - Accounting ; P16 - Political Economy |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012746625