Efficient frontier analysis for portfolio investment in Malaysia stock market

Modern portfolio theory is a theory of finance that attempts to maximize portfolio expected return for a given amount of risk, or minimize the risk for a given level of expected return. The objective of this study is to develop efficient frontier for portfolio investment consists of two stocks form...

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Main Authors: Abu Bakar, Nashirah, Rosbi, Sofian
Format: Article
Language:English
Published: Publications International 2018
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Online Access:http://repo.uum.edu.my/26304/1/SIL%2030%205%20%202018%20723%20729.pdf
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spelling my.uum.repo.263042019-08-13T07:52:56Z http://repo.uum.edu.my/26304/ Efficient frontier analysis for portfolio investment in Malaysia stock market Abu Bakar, Nashirah Rosbi, Sofian HG Finance Modern portfolio theory is a theory of finance that attempts to maximize portfolio expected return for a given amount of risk, or minimize the risk for a given level of expected return. The objective of this study is to develop efficient frontier for portfolio investment consists of two stocks form Kuala Lumpur Stock Exchange (KLSE). Daily share price is collected from Thomson Reuters DataStream. The methodology implemented in this study is statistical normality diagnostics checking, correlation analysis of two stock and mathematical modeling for Markowitz theory to achieve a global minimum of investment risk. The result shows expected portfolio return is 0.54 percentages at global minimum portfolio risk, 2.34 percentages. The findings of this study will help investors to select optimum investment weightage that minimize portfolio risk for a given amount of expected return. Publications International 2018 Article PeerReviewed application/pdf en http://repo.uum.edu.my/26304/1/SIL%2030%205%20%202018%20723%20729.pdf Abu Bakar, Nashirah and Rosbi, Sofian (2018) Efficient frontier analysis for portfolio investment in Malaysia stock market. Science International, 30 (5). pp. 723-729. ISSN 1013-5316 http://www.sci-int.com/Search?catid=105
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic HG Finance
spellingShingle HG Finance
Abu Bakar, Nashirah
Rosbi, Sofian
Efficient frontier analysis for portfolio investment in Malaysia stock market
description Modern portfolio theory is a theory of finance that attempts to maximize portfolio expected return for a given amount of risk, or minimize the risk for a given level of expected return. The objective of this study is to develop efficient frontier for portfolio investment consists of two stocks form Kuala Lumpur Stock Exchange (KLSE). Daily share price is collected from Thomson Reuters DataStream. The methodology implemented in this study is statistical normality diagnostics checking, correlation analysis of two stock and mathematical modeling for Markowitz theory to achieve a global minimum of investment risk. The result shows expected portfolio return is 0.54 percentages at global minimum portfolio risk, 2.34 percentages. The findings of this study will help investors to select optimum investment weightage that minimize portfolio risk for a given amount of expected return.
format Article
author Abu Bakar, Nashirah
Rosbi, Sofian
author_facet Abu Bakar, Nashirah
Rosbi, Sofian
author_sort Abu Bakar, Nashirah
title Efficient frontier analysis for portfolio investment in Malaysia stock market
title_short Efficient frontier analysis for portfolio investment in Malaysia stock market
title_full Efficient frontier analysis for portfolio investment in Malaysia stock market
title_fullStr Efficient frontier analysis for portfolio investment in Malaysia stock market
title_full_unstemmed Efficient frontier analysis for portfolio investment in Malaysia stock market
title_sort efficient frontier analysis for portfolio investment in malaysia stock market
publisher Publications International
publishDate 2018
url http://repo.uum.edu.my/26304/1/SIL%2030%205%20%202018%20723%20729.pdf
http://repo.uum.edu.my/26304/
http://www.sci-int.com/Search?catid=105
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score 13.209306