Portfolio Optimization Using Markowitz Model and Index Model – A Study on 10 Selected Stocks

Authors

  • Leran Dai

DOI:

https://doi.org/10.54097/hbem.v10i.8050

Keywords:

Return; risk; portfolio.

Abstract

Portfolio optimization nowadays plays a significant role in financial industry. This paper aims to analyze the asset allocation of technology, financial services, and consumer defense industries. Ten representative companies were selected from these industries. At the same time, the difference between Markowitz model and Sharpe single index model is observed by using the three constraints of quantification of actual financial market factors. On this basis, this paper optimizes the asset portfolio. This result shows that: first, the correlation coefficient between SPX500 and listed companies is very high, which is a good choice in the portfolio of balancing risk and return. Second, we test several portfolios under 3 constraints, and it is found that a higher return always occurs with a high risk. Third, without the consideration of SP index, investors can get the highest return. The results in this paper may shed light on the financial investors.

Downloads

Download data is not yet available.

References

He W. An Empirical Research Based on Markowitz's Portfolio Theory. World Scientific Research Journal, 2022, 8(3): 221-227.

Malala O. N., Adachi T. Portfolio optimization of electricity generating resources in Kenya. The Electricity Journal, 2020, 33(4): 106733.

Murthy J. The construction of optimal portfolio using sharpe's single index model-an empirical study on nifty metal index. Sumedha Journal of Management, 2018, 7(1), 126-134.

Wang Y.F. Application of Markowitz Mean-variance Theory in Portfolio Optimization of Energy Futures. Computer and Modernization, 2020, (07): 11.

Wang G.Z. Li W.B., Zhu, J.M. Quantitative Investment Portfolio Strategy Based on the AI Industry. Journal of Shenyang University, 2022, 24(01): 44-51.

Çetin B. Application of Markowitz Mean Variance Model in the Istanbul Stock Exchange (Doctoral dissertation, Bilkent Universitesi (Turkey)), 1998.

Roebers L. M., Selvi A., Vera J. C. Using column generation to solve extensions to the Markowitz model. The Engineering Economist, 2019, 64(3): 275-288.

Fang F. Research on power load forecasting based on Improved BP neural network. Harbin Institute of Technology, 2011.

Medeiros M. C., Passos A. M., Vasconcelos, G. F. Parametric portfolio selection: Evaluating and comparing to markowitz portfolios. Revista Brasileira de Finanças, 2014, 12(2): 257-284.

Xing G., Yang S. First and Second Order Asymptotics of the Spectral Risk Measure for Portfolio Loss Under Multivariate Regular Variation. Journal of Systems Science and Complexity, 2020, 33(5): 1533-1544.

Downloads

Published

09-05-2023

How to Cite

Dai, L. (2023). Portfolio Optimization Using Markowitz Model and Index Model – A Study on 10 Selected Stocks. Highlights in Business, Economics and Management, 10, 264-269. https://doi.org/10.54097/hbem.v10i.8050