Application of Multi-Factor Quantitative Stock Selection Strategy Based on Scoring Method: Evidence from the CSI 300 Component Stocks

Chen, Zikun and Hong, Min and Lin, Ruya (2023) Application of Multi-Factor Quantitative Stock Selection Strategy Based on Scoring Method: Evidence from the CSI 300 Component Stocks. In: Proceedings of the International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2022, October 28-30, 2022, Shenzhen, China.

[thumbnail of 53630.pdf] PDF
53630.pdf

Download (348kB)

Abstract

With the wide application of computers and the continuous improvement of big data processing methods, the methods and theories of quantitative investment can better and faster adapt to the rapid development of the current financial market, and this method is gradually becoming one of the main means

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:11
Last Modified: 17 Apr 2026 03:23
URI: http://eprints.eai.eu/id/eprint/42644

Actions (login required)

View Item
View Item