Advances in Economics, Management and Political Sciences

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Proceedings of the 3rd International Conference on Business and Policy Studies

Series Vol. 75 , 17 April 2024


Open Access | Article

Research on the Optimal Strategy of Investment Portfolio Based on Markowitz Model

Zhilin Qiu * 1
1 College of Finance, Shanghai Lixin University of Accounting and Finance, Shanghai, 200000, China

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 75, 53-60
Published 17 April 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Zhilin Qiu. Research on the Optimal Strategy of Investment Portfolio Based on Markowitz Model. AEMPS (2024) Vol. 75: 53-60. DOI: 10.54254/2754-1169/75/20241795.

Abstract

Nowadays, investment is becoming increasingly common. Under the globalization of the economy, investors are given more investment opportunities and choices. Investors need to select excellent assets and allocate the selected asset portfolio on weight during the investment process. The mean-variance model proposed by Markowitz plays an important guiding role in investment and risk management. This model can effectively evaluate investors’ portfolio risk and return decisions and significantly impact their decision-making choices. This study uses the data of the annual average return and variance from 11 risky assets and 1 risk-free asset in about 20 years to construct an investment portfolio in a fixed group based on the Markowitz Model. The study calculates the changes in the allocation of the maximum Sharpe ratio and the minimum variance portfolios under three different constraints and one condition with the addition of risk-free assets, respectively, and then analyzes changes in the outcome of data. The capital allocation lines are introduced to analyze the outcome of an investment portfolio with risk-free assets. Compared with the changes from three constraints, reasons are explained why these changes happen under three constraints. Then, the above limitations are taken as a premise, and the study proposes recommendations for the optimal investment portfolio selection for different investors according to the investment cycle, the preference of investors based on the situation of different investors, and market constraints. The study guides investors’ future investment decisions.

Keywords

Markowitz Model, Asset Allocation, Portfolio Strategy

References

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2. Markowitz, H. M. (1952). Portfolio Selection. Journal of Finance, 7 (1).

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4. Zhou, T. S. (2022). Analysis of Stock Investment Portfolio Based on Mean Variance Model. Economic Research Guide, (23): 85-88

5. Ma, T. (2022). Mean Variance Model Theory and Its Application in China’s Stock Market. Fortune Times, (01): 148-150

6. Chen, H. B. (2016). Research on Optimization of Bond Investment Portfolios in Commercial Banks: Based on the Mean Variance CVAR Model. Finance and Economics, (05): 11-15. DOI: 10.19622/j.cnki.cn36-1005/f.2016.05.003

7. Sharpe, W. F. (1998). The sharpe ratio. Streetwise–the Best of the Journal of Portfolio Management, 3: 169-85.

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 3rd International Conference on Business and Policy Studies
ISBN (Print)
978-1-83558-373-9
ISBN (Online)
978-1-83558-374-6
Published Date
17 April 2024
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/75/20241795
Copyright
17 April 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated