Author/Authors :
Rahmani, Mahmoud Department of Financial Management - Science and Research Branch, Islamic Azad University, Tehran, Iran , Khalili Eraqi, Maryam Department of Financial Management - Science and Research Branch, Islamic Azad University, Tehran, Iran , Nikoomaram, Hashem Department of Financial Management - Science and Research Branch, Islamic Azad University, Tehran, Iran
Abstract :
Investment decision making is one of the key issues in financial management.
Selecting the appropriate tools and techniques that can make optimal portfolio is
one of the main objectives of the investment world. This study tries to optimize
the decision making in stock selection or the optimization of the portfolio by
means of the artificial colony of honey bee algorithm. To determine the effectiveness
of the algorithm, its sharp criteria was calculated and compared with the
portfolio made up of genes and ant colony algorithms. The sample consisted of
active firms listed on the Tehran Stock Exchange from 2005 to 2015. The sample
selected by the systematic removal method. The findings show that artificial bee
colony algorithm functions better than the genetic and ant colony algorithms in
terms of portfolio formation.
Keywords :
Artificial Bee Colony , Portfolio Optimization , Genetic Algorithm , Ant Colony Algorithm
