Research Article
An Investigation Into Several Factor Investment Models and its Practical Analysis——Modernization and Development of Factor Theory
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342709, author={Haoran Tang}, title={An Investigation Into Several Factor Investment Models and its Practical Analysis------Modernization and Development of Factor Theory}, proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2024}, month={2}, keywords={factor model stock market python data interception kweichow moutai}, doi={10.4108/eai.17-11-2023.2342709} }- Haoran Tang
Year: 2024
An Investigation Into Several Factor Investment Models and its Practical Analysis——Modernization and Development of Factor Theory
ICEMME
EAI
DOI: 10.4108/eai.17-11-2023.2342709
Abstract
The factor theory is an investing theory that has undergone continuous revisions in recent times. This paper focuses on the construction and derivation of various factor models, compares the APT, CAPM, and multi-factor models, and concludes that factor models can be used to study the real stock market using the real-time stock data capture method and Buffett's investment philosophy. Nonetheless, the A-share market has comparatively few successful factor model implementation instances. Since it is more often utilized in the United States, there is still a great deal of space for research in this field. This study is going to use the Python data interception method, investigate the factors behind China Moutai's market value increase, draw insights from Buffett's success philosophy, and offer some novel perspectives for further research on China's factor model application.
