A Comparative Analysis of The Markowitz Model and The Single-Index Model: Mathematical Efficiency Vs. Practical Simplicity

Authors

  • Yilin Qian

DOI:

https://doi.org/10.54097/cbdkd713

Keywords:

Efficient frontier; Permissible portfolios; Correlation matrix.

Abstract

With the increasing interest of emerging economies in the stock market, single asset investment is also shifting towards diversified portfolio strategies, and the trade-off between Markowizt model and index model in terms of evaluation correctness and practical effectiveness is also arising. Based on the historical daily total return data of 21 OEX member companies' stocks over the past 20 years, as well as a S&P 500 stock index and risk-free rate (one month federal funds rate), this article uses a structured data-driven approach to analyze and compare the difficulty of data and computation between the two models, as well as to compare the accuracy of capturing the trade-off between risk and return. Research has found that an increase in the number of assets will bring significant computational pressure to the Markowitz model, and the calculation speed of single indicator models will be faster and more accurate; The Markowitz model framework theoretically captures correlations between assets more accurately, but also faces the phenomenon of high risk and high return, while the single index model tangent investment portfolio has a milder balance of expected risk and return at the cost of slightly lower expected returns.

Downloads

Download data is not yet available.

References

[1] Cao Shijun. Comparison of Markowitz Model and Index Model in Optimization of Portfolio. The 2023 International Academic Conference on Educational Arts and Cultural Exchanges (ICEACE 2023), 2023, 5(1).

[2] Jin Mingzhou, Li Zexin and Yuan Shengkai. Research and Analysis on Markowitz Model and Index Model of Portfolio Selection. Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021), 2021.

[3] Lin Qiucen. Constrained Portfolio Optimization: A Comparison of Markowitz Model and Single Index Model. In Proceedings of the 2nd International Conference on Business and Policy Studies, 2023, 644-654.

[4] Wang Heran. Constrained Portfolio Optimization: Markowitz Mode and Index Model. SHS Web of Conferences, 2024, 208: 4021.

[5] Mynbayeva, Elmira, Lamb, John D and Zhao Yuan.Why estimation alone causes Markowitz portfolio selection to fail and what we might do about it. European Journal of Operational Research, 2022, 301(2): 694-707.

[6] Dutta Sumanjay and Jain Shashi. Precision versus Shrinkage: A Comparative Analysis of Covariance Estimation Methods for Portfolio Allocation. Cornell University, 2023.

[7] Giglio Stefano, Kelly Bryan and Xiu Dacheng. Factor Models, Machine Learning, and Asset Pricing. Annual Review of Financial Economics, 2022, 14(1): 337-368.

[8] Wu Mengjie.Portfolio Optimization under ESG Constraints: Markowitz Model vs. Index Model. SHS Web of Conferences, 2025, 218: 2002.

[9] Zvi Bodie, Alex Kane and Alan J. Marcus. Efficient Diversification. In Investments (12th ed., pp. 201-250).

[10] Li Tianyu. Research and Empirical Analysis of Optimal Virtual Currency Investment Portfolio Based on Markowitz Investment Model. SHS Web of Conferences, 2024, 208: 2005.

[11] Zvi Bodie, Alex Kane and Alan J. Marcus. Index Models. In Investments (12th ed., pp. 251-282).

[12] Li Weihan, Zhang Jin E., Ruan Xinfeng, et al. An empirical study on the early exercise premium of American options: Evidence from OEX and XEO options. The Journal of Futures Markets, 2024, 44(7): 1117-1153. Cheng Qiyun, Sun Caixin, Zhang Xiaoxing, et al. Short-Term load forecasting model and method for power system based on complementation of neural network and fuzzy logic. Transactions of China Electrotechnical Society, 2004, 19(10): 53-58.

Downloads

Published

09-02-2026

Issue

Section

Articles

How to Cite

Qian, Y. (2026). A Comparative Analysis of The Markowitz Model and The Single-Index Model: Mathematical Efficiency Vs. Practical Simplicity. Journal of Innovation and Development, 14(2), 262-274. https://doi.org/10.54097/cbdkd713