PORTFOLIO OPTIMIZATION USING A MICRO GENETIC ALGORITHM

Descripción del Articulo

This research shows the portfolios optimization using micro genetic algorithms, to resolve the Markowitz's selecting investments model like a multi-objetive optimization, where is maximized profitalility and minization, where is maximized profitability and minimizing the risk, thus create a neg...

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Detalles Bibliográficos
Autores: Gutiérrez Urzúa, Mauricio, Torres Melillanca, Erick, Gálvez Gálvez, Patricio, Poo Caamaño, Germán
Formato: artículo
Fecha de Publicación:2007
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/6357
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6357
Nivel de acceso:acceso abierto
Materia:Optimization
portfolios
micro genetical algortithms.
Optimización
portafolios
Micro-algoritmo genérico.
Descripción
Sumario:This research shows the portfolios optimization using micro genetic algorithms, to resolve the Markowitz's selecting investments model like a multi-objetive optimization, where is maximized profitalility and minization, where is maximized profitability and minimizing the risk, thus create a negotiation between the risk, thus create a negotiation between the two objectives, then find optimal solution. To solve this problem need a genetic algorithm for multi-objetive optimization, based Pareto's optimal. The results show that this application is more efficient than other similar processes(Non-dominated Sorting Genetic Algoritm II(NSGA II) and Pareto Archive Evolution Strategy (PAES)), but considering the period and the local market characteristics, its predictive power low.
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