Stock Selection Strategy and Application of Portfolio Theory
- DOI
- 10.2991/978-94-6463-652-9_33How to use a DOI?
- Keywords
- investment method; stock selection; portfolio theory; Sharpe Ratio
- Abstract
There are various stock selection methods nowadays, so choosing a process most suitable for investors is essential. This paper explores three main methods of stock selection: PE Ratio, ESG criteria, and the portfolio theory. Investors can adjust their methods by investment objectives, risk tolerance, social obligations, and other indicators. By analysing the data and performances of Ping An Bank (000001. SZ), Kweichow Moutai (600519. SH), and PetroChina Company Limited (601857. SH) in the stock market, the paper mainly introduces the application of portfolio theory. Through a series of calculations of expected return, standard deviation, correlation, and applying ‘Solver-Add in’, the researcher illustrated the graph of the Efficient Frontier of the portfolio that is comprised of stocks mentioned above and obtained the optimal combination of weights of the number of stocks purchased. Overall, the research concluded that the Sharpe Ratio increases as the risk-adjusted return of an investment improves.
- 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 - Yaqi Wang PY - 2025 DA - 2025/02/24 TI - Stock Selection Strategy and Application of Portfolio Theory BT - Proceedings of the International Workshop on Navigating the Digital Business Frontier for Sustainable Financial Innovation (ICDEBA 2024) PB - Atlantis Press SP - 329 EP - 335 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-652-9_33 DO - 10.2991/978-94-6463-652-9_33 ID - Wang2025 ER -