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Teoría de carteras de inversión para la diversificación del riesgo: enfoque clásico y uso de redes neuronales artificiales (RNA)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Conti, Dante Simó, Carles Rodríguez, Ángel |
| Copyright Year | 2005 |
| Abstract | The relationship between risk and gain has a vital importance in the design of investment portfolios. The diversification pursues to obtain an optimal combination of assets that maximizes the gain minimizing the risk. Under this premise, this paper approach the classic theory of the investment portfolio by adding to this theory a set of heuristic and statistical techniques that are related with selection patterns obtained from neural networks (RNA). In a first phase of experimentation, it is sought to define the study to the feasibility of the RNA for the conformation of investment portfolio with the assets that quote in the Venezuelan stock exchange. The classic theory is confronted (quadratic programming model proposed by Markowitz) versus the alternative approach of the RNA by comparing the results of the investment portfolios that are gotten with both techniques. Finally, the optimization of the RNA architecture is recommended for posteriori studies, as well as, to solve this problem by using other Artificial Intelligence techniques with Operations Research methods that are applied to the field of finance and management of investment portfolios. |
| Starting Page | 35 |
| Ending Page | 42 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| Volume Number | 26 |
| Alternate Webpage(s) | http://erevistas.saber.ula.ve/index.php/cienciaeingenieria/article/download/318/337 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |