Portfolio Theory in Investment Decision Making: A Case Study of Xiaomi, Apple, and Samsung
- DOI
- 10.2991/978-94-6463-835-6_51How to use a DOI?
- Keywords
- Xiaomi; Apple; Samsung; Portfolio; Risk Analysis; Sharpe Ratio; Correlation Coefficient
- Abstract
The study analyses the historical stock data of Xiaomi, Apple, and Samsung and examines their investment risk and return characteristics. It discusses the possibility of building an optimised asset portfolio. By examining key financial indicators, including each company’s standard deviation, average return, expected portfolio return, Sharpe ratio and correlation coefficient were used to obtain the corresponding results. The author finds that Xiaomi has the highest average return. However, the positive correlation between Apple and Samsung is higher. This suggests that Apple and Samsung tend to move more in the same direction in the stock market. It combines these stocks into a portfolio that limits the benefits of diversification. Therefore, it is concluded that constructing portfolios to achieve effective risk diversification by considering correlations between assets is crucial. The analysis is beneficial to help investors build a suitable investment strategy. Investors can optimize the risk-adjusted return of the portfolio by choosing assets with low correlation.
- Copyright
- © 2025 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 - Sai Na PY - 2025 DA - 2025/09/17 TI - Portfolio Theory in Investment Decision Making: A Case Study of Xiaomi, Apple, and Samsung BT - Proceedings of the 2025 3rd International Academic Conference on Management Innovation and Economic Development (MIED 2025) PB - Atlantis Press SP - 482 EP - 487 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-835-6_51 DO - 10.2991/978-94-6463-835-6_51 ID - Na2025 ER -