Forecasting EPS o with Hybrid Genetic algorithm, particle swarm optimization and Neural networks
Forecasting earnings per share (EPS) are among the most important and crucial tasks for both outside investors and internal managers. The focus of most articles in literature is forecasting EPS with linear methods. Researchers rarely employ nonlinear models to forecast EPS. However some researchers...
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| Formato: | article |
| Lenguaje: | FA |
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Shahid Bahonar University of Kerman
2017
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| Acceso en línea: | https://doaj.org/article/9bae08e4e525460787f5b4a6d451c73a |
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