Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi

Portfolio optimization is a process of selecting a portfolio that minimize risk and/or maximize the expected return of an asset. The mean risk model of mean-variance with risk quantified by the measure of variance is consider the model that is frequently used in the problem of optimization. Hence, t...

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Main Authors: Abdul Hamid, Mohammad Razin Hazman, Mansor, Nur Farhana, Hilmi, Nur Amanina
Format: Student Project
Language:English
Published: 2019
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/39211/1/39211.pdf
http://ir.uitm.edu.my/id/eprint/39211/
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spelling my.uitm.ir.392112020-12-24T04:10:46Z http://ir.uitm.edu.my/id/eprint/39211/ Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi Abdul Hamid, Mohammad Razin Hazman Mansor, Nur Farhana Hilmi, Nur Amanina Study and teaching Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems Portfolio optimization is a process of selecting a portfolio that minimize risk and/or maximize the expected return of an asset. The mean risk model of mean-variance with risk quantified by the measure of variance is consider the model that is frequently used in the problem of optimization. Hence, the sectors of the asset is considered as the main constraint that affects the performance of the portfolio. The objective of the research is to obtain the optimal portfolio on various assets of the transportation and technology sectors by minimizing the risk using mean-variance. Also, a comparison on the performance of the portfolio is conducted where the in-sample analysis is evaluated. The results from the in-sample are also verified with the backtesting method for the out-sample analysis. The closing price of the assets are obtained following their contributed sectors which are transportation and technology sector. The weekly return is evaluated to simulate the risk return following the simulation of the in¬ sample and out-sample of the portfolio with the use of the model mean variance subject to variance as its risk measure. The findings indicate that the performance of the sector differs one another as the results of the optimization of the portfolio are indifference their collateral sectors. A comparison between the results of the portfolio are conducted to determine which combination seeks advantage with least risk. Following the analysis, it is shown that the portfolio of the combination of sector carries the least risk out of the three portfolios'. A recommendation is for a more efficient result it is needed to increase the number of assets or increase the sectors used. 2019 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/39211/1/39211.pdf Abdul Hamid, Mohammad Razin Hazman and Mansor, Nur Farhana and Hilmi, Nur Amanina (2019) Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Study and teaching
Mathematical statistics. Probabilities
Analytical methods used in the solution of physical problems
spellingShingle Study and teaching
Mathematical statistics. Probabilities
Analytical methods used in the solution of physical problems
Abdul Hamid, Mohammad Razin Hazman
Mansor, Nur Farhana
Hilmi, Nur Amanina
Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi
description Portfolio optimization is a process of selecting a portfolio that minimize risk and/or maximize the expected return of an asset. The mean risk model of mean-variance with risk quantified by the measure of variance is consider the model that is frequently used in the problem of optimization. Hence, the sectors of the asset is considered as the main constraint that affects the performance of the portfolio. The objective of the research is to obtain the optimal portfolio on various assets of the transportation and technology sectors by minimizing the risk using mean-variance. Also, a comparison on the performance of the portfolio is conducted where the in-sample analysis is evaluated. The results from the in-sample are also verified with the backtesting method for the out-sample analysis. The closing price of the assets are obtained following their contributed sectors which are transportation and technology sector. The weekly return is evaluated to simulate the risk return following the simulation of the in¬ sample and out-sample of the portfolio with the use of the model mean variance subject to variance as its risk measure. The findings indicate that the performance of the sector differs one another as the results of the optimization of the portfolio are indifference their collateral sectors. A comparison between the results of the portfolio are conducted to determine which combination seeks advantage with least risk. Following the analysis, it is shown that the portfolio of the combination of sector carries the least risk out of the three portfolios'. A recommendation is for a more efficient result it is needed to increase the number of assets or increase the sectors used.
format Student Project
author Abdul Hamid, Mohammad Razin Hazman
Mansor, Nur Farhana
Hilmi, Nur Amanina
author_facet Abdul Hamid, Mohammad Razin Hazman
Mansor, Nur Farhana
Hilmi, Nur Amanina
author_sort Abdul Hamid, Mohammad Razin Hazman
title Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi
title_short Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi
title_full Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi
title_fullStr Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi
title_full_unstemmed Portfolio optimization of the transportation and technology sectors using mean-variance / Mohammad Razin Hazman Abdul Hamid, Nur Farhana Mansor and Nur Amanina Hilmi
title_sort portfolio optimization of the transportation and technology sectors using mean-variance / mohammad razin hazman abdul hamid, nur farhana mansor and nur amanina hilmi
publishDate 2019
url http://ir.uitm.edu.my/id/eprint/39211/1/39211.pdf
http://ir.uitm.edu.my/id/eprint/39211/
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