Name
Abstract | ||
|---|---|---|
The prediction of corporate financial failure, crucial for the prevention and mitigation of economic downturns in a national economy, requires the categorization of healthy and unhealthy companies. This study examines the case of Serbia and applies multivariant statistical methods and specific artificial neural network architectures—the self-organizing map (SOM)—to assess the corporate financial h... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1093/jigpal/jzr009 | Logic Journal of the IGPL |
Keywords | Field | DocType |
Corporate financial health,corporate insolvency,multivariate discriminant analysis,self-organized maps | Actuarial science,Insolvency,Mathematics | Journal |
Volume | Issue | ISSN |
20 | 3 | 1367-0751 |
Citations | PageRank | References |
7 | 0.53 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dragan Simic | 1 | 40 | 12.78 |
| Ilija Kovacevic | 2 | 24 | 2.05 |
| Svetlana Simic | 3 | 40 | 12.78 |