| Título: | Accounting Disclosure Quality And Bankruptcy Prediction |
| Autores: |
Karami, Gholamreza; Assistant Professor of Accounting,
Faculty of Management, University of Tehran, Tehran, Iran
P.O.Box: 14155-6311 Hajiazimi, Farzad; Faculty of Management, University of Tehran, Pol-e-Nasr, Tehran, P.O. Box 14155-6311, Iran. Attaran, Navid; Faculty of Management, University of Tehran, Tehran, Iran P.O.Box: 14155-6311 |
| Fecha: | 2013-07-03 |
| Publicador: | International Journal of Business and Social Research |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
| Tema: |
Disclosure quality; Information asymmetry; Bankruptcy; Genetic Algorithm; bankruptcy perdiction |
| Descripción: | The complexity of economic environment and information asymmetry makes financial reporting and accounting disclosure policies crucial to stakeholders, hence the role of accounting disclosure quality in bankruptcy prediction realm has been investigated in this study. The Result of Genetic algorithm show that accounting disclosure quality significantly increases the accuracy of bankruptcy prediction model and it can be regarded as a complementary variable to other variables used in the bankruptcy literature. To examine the research hypotheses, the listed Companies of Tehran Stock Exchange have been investigated between 2004 and 2010. |
| Idioma: | Inglés |
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