Title of article :
Asset management using genetic algorithm: Evidence from Tehran Stock Exchange
Author/Authors :
Sarijaloo، Abbas نويسنده Department of Management and Accounting, Arak Branch, Islamic Azad University, Arak, Iran , , Moradbakloo، Aliakbar نويسنده Masters Student, Department of Management and Accounting, Arak Branch, Islamic Azad University, Arak, Iran ,
Issue Information :
ماهنامه با شماره پیاپی 26 سال 2014
Pages :
6
From page :
221
To page :
226
Abstract :
This paper presents an empirical investigation to study the effect of market management using Markowitz theorem. The study uses the information of 50 best performers on Tehran Stock Exchange over the period 2006-2009 and, using Markowitz theorem, the efficient asset allocation are determined and the result are analyzed. The proposed model of this paper has been solved using genetic algorithm. The results indicate that Tehran Stock Exchange has managed to perform much better than average world market in most years of studies especially on year 2009. The results of our investigation have also indicated that one could reach outstanding results using GA and forming efficient portfolio.
Journal title :
Management Science Letters
Serial Year :
2014
Journal title :
Management Science Letters
Record number :
981920
Link To Document :
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