Quantitative Multi-factor Stock Selection Strategy Based on Internet Service Industry

Authors

  • Yue Zhuang

DOI:

https://doi.org/10.54097/hbem.v19i.12610

Keywords:

Internet service industry; quantitative investment; multi-factor stock selection model.

Abstract

As a matter of fact, with regard to stock investment practice, quantitative strategies have become popular with the rapid development of China's capital market. Plenty of quantitative strategies have been proposed and implemented into the Chinese markets, where multi-factor stock selection is one of them. Based on the multi-factor model commonly used in quantitative investment, this article selects relevant data of the Internet service industry in the A-share market from 2018 to 2022, conducts an industry-level empirical test on 15 factors in 5 categories that are widely used, and constructs investments accordingly combination. According to the analysis, the research found that the stock portfolio constructed based on the above method can outperform the market, far exceeding the performance of the CSI 300 during the same period, indicating that the multi-factor model is still effective in the Internet service industry, and this industry has high investment value. Overall, these results shed light on guiding further exploration of quantitative analysis of stock market.

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References

Gao Y, Yang H, Feng D, et al. Opportunities and Challenges of Quantitative Strategies in the A-share Market. China Collective Economy, 2019, 18: 107-108.

Chen D, Sun C, Shi J. A Multifactor Model of the Securities Market and Its Application in the Shanghai and Shenzhen A-share Markets. Productivity Research, 2009, 21: 112-115.

Lin D, Yang X. Construction of Component Stock Portfolios that outperform the Shanghai and Shenzhen 300 Index: An Empirical Analysis Based on a Multifactor Model. China Business, 2014, 2: 83-84.

Wang C, Liu G, Wang Q. Multi factor quantitative stock selection model and timing strategy. Journal of Northeast University of Finance and Economics, 2018, 5: 81-87.

Fan L, Wang H. Research on the Factors of Stock Return in Shanghai Stock Market. Journal of Management Science, 2003, 1: 60-67.

Ding Q. Research on Multifactor Quantitative Investment Strategies for Stocks Based on Principal Component Analysis. Times Finance, 2020, 17: 74-76.

Cheng H. Design of a Multifactor Quantitative Stock Selection Strategy Based on Individual Investor Emotions. Guangdong University of Technology, 2022.

Ren X. A Study on Quantitative Multifactor Stock Selection Strategies in the A-share Market. Central University of Finance and Economics, 2022.

Li Y. Empirical Study on Quantitative Stock Selection Based on Logistic Regression. Shandong University, 2018.

Wang X, Zhou Y, Tang Ti, et al. Research on Multifactor Quantitative Stock Selection Based on Knockoff Logic. Statistical and Information Forum, 2023, 38(04): 19-32.

Liang X. Research on Quantitative Stock Selection Methods Based on Multifactor Models. Chinese Market, 2021, 25: 31-32.

Zou L. Quantitative Investment Research Based on Multifactor Models. China Business Review, 2021, 24: 100-103.

Sun Y, Li H, Han M. The Application of Multifactor Models in Stock Selection in the Chinese Stock Market. Modern Marketing (Business Edition), 2020, 11: 242-243.

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Published

02-11-2023

How to Cite

Zhuang, Y. (2023). Quantitative Multi-factor Stock Selection Strategy Based on Internet Service Industry. Highlights in Business, Economics and Management, 19, 711-716. https://doi.org/10.54097/hbem.v19i.12610