Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model

The investors wish to achieve higher portfolio return than the benchmark index return at minimum tracking error (TE) in enhanced index tracking. This study aims to develop the optimal portfolio to track the benchmark sectorial index in Malaysia with two-stage mixed integer programming (MIP) model by...

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Main Authors: Lam, Weng Siew, Saiful Hafizah Jaaman, Lam, Weng Hoe
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2020
Online Access:http://journalarticle.ukm.my/15091/1/jqma-16-1-paper5.pdf
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author Lam, Weng Siew
Saiful Hafizah Jaaman,
Lam, Weng Hoe
author_facet Lam, Weng Siew
Saiful Hafizah Jaaman,
Lam, Weng Hoe
author_sort Lam, Weng Siew
collection UKM
description The investors wish to achieve higher portfolio return than the benchmark index return at minimum tracking error (TE) in enhanced index tracking. This study aims to develop the optimal portfolio to track the benchmark sectorial index in Malaysia with two-stage mixed integer programming (MIP) model by minimizing the TE at the first stage followed by maximizing the portfolio mean return at the second stage. The data consists of Technology Index and the index components from Malaysia stock market. The results indicate that the two-stage MIP model gives higher mean return than the benchmark sectorial index at minimum TE. This study is significant because it helps to develop the optimal portfolio with two-stage MIP model to outperform the benchmark sectorial index without holding all index components.
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spelling ukm.eprints-150912020-08-25T00:49:34Z http://journalarticle.ukm.my/15091/ Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model Lam, Weng Siew Saiful Hafizah Jaaman, Lam, Weng Hoe The investors wish to achieve higher portfolio return than the benchmark index return at minimum tracking error (TE) in enhanced index tracking. This study aims to develop the optimal portfolio to track the benchmark sectorial index in Malaysia with two-stage mixed integer programming (MIP) model by minimizing the TE at the first stage followed by maximizing the portfolio mean return at the second stage. The data consists of Technology Index and the index components from Malaysia stock market. The results indicate that the two-stage MIP model gives higher mean return than the benchmark sectorial index at minimum TE. This study is significant because it helps to develop the optimal portfolio with two-stage MIP model to outperform the benchmark sectorial index without holding all index components. Penerbit Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/15091/1/jqma-16-1-paper5.pdf Lam, Weng Siew and Saiful Hafizah Jaaman, and Lam, Weng Hoe (2020) Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model. Journal of Quality Measurement and Analysis, 16 (1). pp. 53-59. ISSN 1823-5670 http://www.ukm.my/jqma/current.html
spellingShingle Lam, Weng Siew
Saiful Hafizah Jaaman,
Lam, Weng Hoe
Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model
title Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model
title_full Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model
title_fullStr Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model
title_full_unstemmed Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model
title_short Tracking a benchmark index in portfolio optimization with two-stage mixed integer programming model
title_sort tracking a benchmark index in portfolio optimization with two stage mixed integer programming model
url http://journalarticle.ukm.my/15091/1/jqma-16-1-paper5.pdf
work_keys_str_mv AT lamwengsiew trackingabenchmarkindexinportfoliooptimizationwithtwostagemixedintegerprogrammingmodel
AT saifulhafizahjaaman trackingabenchmarkindexinportfoliooptimizationwithtwostagemixedintegerprogrammingmodel
AT lamwenghoe trackingabenchmarkindexinportfoliooptimizationwithtwostagemixedintegerprogrammingmodel