Research on the Investment Decision in Financial Market Based on Optimal Portfolio
- DOI
- 10.2991/978-94-6463-054-1_65How to use a DOI?
- Keywords
- Investment decision; Efficient boundary; Optimal portfolio; Standard deviation
- Abstract
The theory of investment decision is one of the key topics in current research. Researchers have found that each group of standard deviations and risks in the portfolio are marked in the chart, which can form an efficient investment boundary. This paper analyzes risk aversion based on the risk characteristics of financial markets and analyzes the impact of financial market liberalization on the internationalization of the RMB, and conducts an in-depth study in the context of domestic RMB equity and bond assets held by offshore foreign institutions. The results show that the industry attributes of investment products, individual age, and financial knowledge reserves are related to the management of market risk, enhancing diversity of financial asset allocation is an important way to effectively control risk. The research in this paper has important practical implications for financial market participants to hedge market risks.
- Copyright
- © 2023 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 - Ruixiao Zhao PY - 2022 DA - 2022/12/14 TI - Research on the Investment Decision in Financial Market Based on Optimal Portfolio BT - Proceedings of the 2022 2nd International Conference on Financial Management and Economic Transition (FMET 2022) PB - Atlantis Press SP - 596 EP - 606 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-054-1_65 DO - 10.2991/978-94-6463-054-1_65 ID - Zhao2022 ER -