Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Series Vol. 59 , 05 January 2024
* Author to whom correspondence should be addressed.
Quantitative investment, as one of the many tools in the investment toolkit, plays a significant role in investment practice. Quantitative investment strategies encompass quantitative industry allocation, stock selection, and market timing strategies, among others. In the highly developed capital markets of the United States, quantitative investment has a history spanning several decades. It has garnered praise from numerous corporations and individual investors for its stable investment returns and rational investment style, making it an essential decision-making factor for other investors as well. In China, quantitative investment is still in its nascent stages. This article analyzes several issues existing in the Chinese quantitative investment landscape, such as limited hedging mechanisms for investment strategies, some strategies having a significant impact on the market environment, and the incompatibility of the unique Chinese financial market environment with traditional quantitative investment strategies. The article proposes corresponding solutions to these problems, which hold positive implications for further improving China's financial markets.
Quantitative Investment, Current Research, Derivatives, Chinese Financial Markets
1. Editorial Committee of the 2022 China Quantitative Investment White Paper (2023). 2022 China Quantitative Investment White Paper, 4, 7
2. Liu, C. Y. (2019). Research on the Interactive Relationship between Financial Derivatives Market Regulation and Development. Unpublished doctorial dissertation, East China Normal University, Shanghai.
3. Li, X. D. (2019). A Study on the Relationship between Investor Sentiment and Shanghai-Shenzhen 300 Stock Index Futures under Short Selling Restrictions. Unpublished master's dissertation, Jilin University, Jilin
4. Zhan, F. (2017). Application and Practice of Quantitative Investment in the Domestic Investment Industry. Science & Technology Ecnony Market, 105-106.
5. Tsinghua University PBC School of Finance. (2016). The Impact of High-Frequency Trading on the Market. Tsinghua financial review.
6. Lu, L. Z. (2012). A Study on the Application Effectiveness of Quantitative Investment Strategies. Unpublished master's dissertation, Jinan University, Guangdong
7. Li, Z. H., Li, X. Y., and Du, Y. (2021). Can Professional Institutional Investors Suppress Market Manipulation?—Anomaly Trading Identification Model Based on High-Frequency Trading Data. Modern Finance And Economics-Fournal of Tianjin Universitj of Finance And Economics, 3-5, 16.
8. Liu, P. P. (2021). Research on Regulatory Issues of Abnormal Securities Trading Behavior. Financial Development Research. Journal of Financial Development Research, 84-87.
9. Li, C., He, X. H., Li, Z. S., & Xu, S. F. (2017) Short Selling Mechanism as a Risk Release Tool—A Study on Short Selling Effects under Different Market Conditions. Financial Markets. Studies of International Finance, 67, 73.
10. Gao, L., & Lu, X. (2021) Research on Relaxing Short Selling Restrictions and Corporate Innovation Incentives. Financial Regulation Research. Financial Regulation Research, 101-103, 113.
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).