IIUM Repository

The portfolio optimization performance during Malaysia’s 2018 General Election by using noncooperative and cooperative game theory approach

Ramadhan bin Ibrahim, Muhammad Akram and Pah, Chin Hee and Islam, Mohd Aminul and Bahaludin, Hafizah (2020) The portfolio optimization performance during Malaysia’s 2018 General Election by using noncooperative and cooperative game theory approach. Modern Applied Science, 14 (4). pp. 1-13. ISSN 1913-1844 E-ISSN 1913-1852

[img] PDF - Published Version
Restricted to Registered users only

Download (459kB) | Request a copy

Abstract

Game theory approach is used in this study that involves two types of games which are noncooperative and cooperative. Noncooperative game is used to get the equilibrium solutions from each payoff matrix. From the solutions, the values then be used as characteristic functions of Shapley value solution concept in cooperative game. In this paper, the sectors are divided into three groups where each sector will have three different stocks for the game. This study used the companies that listed in Bursa Malaysia and the prices of each stock listed in this research obtained from Datastream. The rate of return of stocks are considered as an input to get the payoff from each stock and its coalition sectors. The value of game for each sector is obtained using Shapley value solution concepts formula to find the optimal increase of the returns. The Shapley optimal portfolio, naive diversification portfolio and market portfolio performances have been calculated by using Sharpe ratio. The Shapley optimal portfolio outperformed the naive diversification portfolio and market portfolio in 6 months before and after the GE14.

Item Type: Article (Journal)
Additional Information: 5826/79447
Uncontrolled Keywords: cooperative game theory, GE 14, portfolio optimization, shapley value
Subjects: Q Science > QA Mathematics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Science > Department of Computational and Theoretical Sciences
Kulliyyah of Science
Depositing User: DR. CHIN HEE PAH
Date Deposited: 13 Apr 2020 11:56
Last Modified: 13 Apr 2020 11:56
URI: http://irep.iium.edu.my/id/eprint/79447

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year