Portfolio optimisation for Malaysian Top 30 and Mid 70 assets using Mean-Mad model / Ahmad Bazli Khairuddin, Muhammad Mukhlis Kamarul Zaman and Mohd Azdi Maasar

Khairuddin, Ahmad Bazli and Kamarul Zaman, Muhammad Mukhlis and Maasar, Mohd Azdi (2024) Portfolio optimisation for Malaysian Top 30 and Mid 70 assets using Mean-Mad model / Ahmad Bazli Khairuddin, Muhammad Mukhlis Kamarul Zaman and Mohd Azdi Maasar. Journal of Exploratory Mathematical Undergraduate Research (JEMUR). ISSN 3030-5411

Abstract

This study explores Mean Absolute Deviation (MAD) model portfolio optimisation for the Top 30 and Mid 70 Malaysian assets, focusing on risk reduction for higher returns. Implementing MAD model, the research demonstrates its efficacy in achieving intended returns and managing risk for both asset categories. In the in-sample study, a trade-off between maximizing returns and risk management is observed, revealing a positive association between better returns and increased risk. Mid 70 assets show potential for smaller absolute deviation, indicating lower risk and making them ideal for portfolio optimisation. Backtesting results highlight favourable outcomes, but the study emphasizes the need for careful analysis as MAD may understate risk in some cases. Overall, the research significantly contributes to understanding portfolio optimization in the Malaysian market, showcasing MAD model flexibility and providing valuable insights for investors and financial specialists.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Khairuddin, Ahmad Bazli
UNSPECIFIED
Kamarul Zaman, Muhammad Mukhlis
UNSPECIFIED
Maasar, Mohd Azdi
UNSPECIFIED
Subjects: Q Science > QA Mathematics
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Journal or Publication Title: Journal of Exploratory Mathematical Undergraduate Research (JEMUR)
ISSN: 3030-5411
Keywords: Portfolio optimisation, mean absolute deviation, Malaysian assets, risk minimization
Date: May 2024
URI: https://ir.uitm.edu.my/id/eprint/98202
Edit Item
Edit Item

Download

[thumbnail of 98202.pdf] Text
98202.pdf

Download (1MB)

ID Number

98202

Indexing

Statistic

Statistic details