Using the nonlinear GRG algorithm to build the optimal stock portfolio

Analytical study of the Iraqi Stock Exchange

Authors

  • Maitham Rabee Hadi Al-Hassnawi
  • Sara Arif Abnea Al-Jubouri

Keywords:

portfolio optimum, nonlinear generalized reduced gradient (GRG) algorithm, efficient frontier, modern portfolio theory

Abstract

The concept of diversification is the essence of what was brought by Markowitz’s modern portfolio theory in 1952, if Markowitz gave a description of the efficient frontier that constitutes a group of efficient portfolios that lead to the highest return at a certain level of risk or that lead to the lowest risk at a certain level of return in preparation for determining the portfolio optimal risk. Despite the development brought about by the modern portfolio theory, it suffers from the difficulty of its practical application represented by the problem of quadratic programming. In this study, we will solve the problem of quadratic programming in preparation for enabling the investor to choose the optimal portfolio through the nonlinear optimization algorithm called the nonlinear generalized reduced gradient algorithm (GRG).

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البحوث المنشورة

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البحوث غير المنشورة

Swaminathan, S. Sivarajan , "Risk Tolerance, Return Expectations and Other Factors Impacting Investment Decisions" , A thesis submitted to the University of Manchester for the degree of Doctor of Business Administration in the Faculty of Humanities , 2018.

الانترنت

http://www.isx-iq.net

Published

2024-06-11

How to Cite

ميثم ربيع هادي الحسناوي, & ساره عارف ابنية الجبوري. (2024). Using the nonlinear GRG algorithm to build the optimal stock portfolio: Analytical study of the Iraqi Stock Exchange. Iraqi Journal for Administrative Sciences, 18(72), 36–55. Retrieved from https://journals.uokerbala.edu.iq/index.php/ijas/article/view/1869