Optimizing Returns of Diversified Investment Portfolio with Markowitz Model
- DOI
- 10.2991/978-94-6463-268-2_16How to use a DOI?
- Keywords
- Markowitz model; Monte Carlo method; optimal product allocation; utility function
- Abstract
In recent years, the underlying assets allocation has become a hot topic, where tremendous investors and analyzers are tried to construct portfolio with well performances (e.g., maximum Sharpe ratio, minimum volatility, maximum Calmar ratio) under the framework of quantitative analysis. As a matter of fact, the portfolio theory utilizes historical data of different underlying assets (e.g., stocks, futures, spots, options as well as cryptocurrencies) to analyze the assets being invested. This paper presents a method to generate the Markowitz model using the Monte Carlo method and combines it with the utility function to obtain a low-risk, high-return investment portfolio. According to the analysis, the allocation of investment business products is illustrated using diversified investment products as an example. Overall, this study provides guidance and suggestions for real-world investment for investors, aiming to avoid risks and achieve relatively high returns. These results shed light on guiding further exploration of portfolio construction.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ge Bu AU - Yuming Liu PY - 2023 DA - 2023/10/10 TI - Optimizing Returns of Diversified Investment Portfolio with Markowitz Model BT - Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023) PB - Atlantis Press SP - 123 EP - 135 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-268-2_16 DO - 10.2991/978-94-6463-268-2_16 ID - Bu2023 ER -