Investment portfolio optimization using genetic algorithm / Mohd Fikri Hafifi Yusof

Yusof, Mohd Fikri Hafifi (2007) Investment portfolio optimization using genetic algorithm / Mohd Fikri Hafifi Yusof. Degree thesis, Universiti Teknologi MARA.

Abstract

Genetic Algorithm (GA) is adaptive methods which may be used to solve search
and optimization problems. In investment, GA is helpful to find the best portfolio
optimization. The five syariah securities are taken to optimize the portfolio and then find
the best portfolio using the GA. All of the five securities are approved by Security
Commission (SC) of Malaysia. The weekly return of each Syariah securities are taken
from Stock Performance Guide Malaysia produced by Dynaquest Sdn. Bhd. The outcome
from this project is the best syariah securities for we invest and get highest profit.
Keywords: Genetic Algorithm, Portfolio Optimization, Investment

Item Details

Item Type:	Thesis (Degree)
Creators:	Creators Email / ID Num. Yusof, Mohd Fikri Hafifi UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Date:	2007
URI:	https://ir.uitm.edu.my/id/eprint/1618

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