Innovation in the Quality of Returns and Alpha Strategies of China's A-shares under the Background of Digital Finance
DOI: https://doi.org/10.62517/jse.202511517
Author(s)
Yiran Wang
Affiliation(s)
School of Malvern College Qingdao Grade12, Qingdao, China
*Corresponding Author
Abstract
The rapid development of digital finance has profoundly transformed the ecosystem of China's A-share market, providing a new path for enhancing the quality of returns and optimizing Alpha strategies. This article, through theoretical analysis, explores how digital financial technology can enhance the quality of A-share returns by improving information efficiency, optimizing resource allocation, and strengthening risk control mechanisms. It further proposes an innovative direction of Alpha strategy based on alternative data mining, AI technology integration, quantitative model iteration, and regulatory technology empowerment. Research shows that digital finance is driving the A-share market towards a more efficient, transparent and sustainable direction by reconfiguring the information interaction patterns and decision-making logic of market participants.
Keywords
Digital Finance; The Quality of A-share Earnings; Alpha Strategy Innovation; Alternative Data; AI Technology
References
[1] Feyen, E., Natarajan, H., & Saal, M. (2023). Fintech and the future of finance: Market and policy implications. World Bank Publications.
[2] Pagliaro, A. (2025). Artificial intelligence vs. efficient markets: A critical reassessment of predictive models in the big data era. Electronics, 14(9), 1721.
[3] Zhang, J., Chen, Z., & Xu, Z. (2025). Innovative Alpha Strategies for the Chinese A-Share Market: Stable Turnover Momentum Enhanced by Idiosyncratic Volatility.
[4] Nakamoto, S. (2024, April). Bitcoin: a peer-to-peer electronic cash system.
[5] Du Siqiao. (2024). Research on the impact of digital transformation on corporate investment efficiency: empirical evidence based on A-share listed companies. E-Commerce Letters, 13, 6884.
[6] Li Youshu, & Zhang Min. (2021). Research on the Impact of Digital Inclusive Finance Development on Systemic Financial Risks Research on Socialism with Chinese Characteristics, 2(5/6), 26-34.
[7] Yadava, A. (2024). The impact of AI-driven algorithmic trading on market efficiency and volatility: Evidence from global financial markets. Information Sciences, 36(3), 102015.
[8] Jia, X., & Wang, X. (2024). The impact of digital finance development on vertical specialization: Evidence from A-share listed companies in China. Kybernetes, 53(1), 384-409.