Constrained Portfolio Optimization: Markowitz Model and Index Model

Portfolio optimization is a crucial aspect of contemporary finance, facilitating the efficient balancing of risk and return for investors. In light of the intricate nature of actual investments, constrained portfolio optimization has assumed greater significance as a means of reflecting the practica...

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Main Author: Wang Heran
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2024/28/shsconf_dsm2024_04021.pdf
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author Wang Heran
author_facet Wang Heran
author_sort Wang Heran
collection DOAJ
description Portfolio optimization is a crucial aspect of contemporary finance, facilitating the efficient balancing of risk and return for investors. In light of the intricate nature of actual investments, constrained portfolio optimization has assumed greater significance as a means of reflecting the practical realities of investment scenarios. Based on historical data, this study employs the Markowitz and Index models to optimize portfolios utilizing 24 years (2000-2024) of daily total return from 10 stocks across five sectors as well as the S&P 500 index. Several financial metrics are calculated, including annualized return, standard deviation, alpha, and beta. Five distinct constraints are applied to determine the minimum variance frontier, efficient frontier, and maximum Sharpe ratio for both models. The results indicate that an effective investment portfolio can reduce investment risk. Furthermore, constrained optimization yields portfolios with balanced risk and return characteristics, offering valuable insights for investors seeking practical strategies to manage risk within real-world limitations.
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publishDate 2024-01-01
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series SHS Web of Conferences
spelling doaj-art-b7ba89230a4842a5adffeac33a5e74a52024-12-13T10:11:02ZengEDP SciencesSHS Web of Conferences2261-24242024-01-012080402110.1051/shsconf/202420804021shsconf_dsm2024_04021Constrained Portfolio Optimization: Markowitz Model and Index ModelWang Heran0School of Mathematics, Shandong UniversityPortfolio optimization is a crucial aspect of contemporary finance, facilitating the efficient balancing of risk and return for investors. In light of the intricate nature of actual investments, constrained portfolio optimization has assumed greater significance as a means of reflecting the practical realities of investment scenarios. Based on historical data, this study employs the Markowitz and Index models to optimize portfolios utilizing 24 years (2000-2024) of daily total return from 10 stocks across five sectors as well as the S&P 500 index. Several financial metrics are calculated, including annualized return, standard deviation, alpha, and beta. Five distinct constraints are applied to determine the minimum variance frontier, efficient frontier, and maximum Sharpe ratio for both models. The results indicate that an effective investment portfolio can reduce investment risk. Furthermore, constrained optimization yields portfolios with balanced risk and return characteristics, offering valuable insights for investors seeking practical strategies to manage risk within real-world limitations.https://www.shs-conferences.org/articles/shsconf/pdf/2024/28/shsconf_dsm2024_04021.pdf
spellingShingle Wang Heran
Constrained Portfolio Optimization: Markowitz Model and Index Model
SHS Web of Conferences
title Constrained Portfolio Optimization: Markowitz Model and Index Model
title_full Constrained Portfolio Optimization: Markowitz Model and Index Model
title_fullStr Constrained Portfolio Optimization: Markowitz Model and Index Model
title_full_unstemmed Constrained Portfolio Optimization: Markowitz Model and Index Model
title_short Constrained Portfolio Optimization: Markowitz Model and Index Model
title_sort constrained portfolio optimization markowitz model and index model
url https://www.shs-conferences.org/articles/shsconf/pdf/2024/28/shsconf_dsm2024_04021.pdf
work_keys_str_mv AT wangheran constrainedportfoliooptimizationmarkowitzmodelandindexmodel