Stock Investment Selection Management Based on Bayesian Method
- Zhixuan Gao
- Corresponding Author
- Zhixuan Gao
Available Online March 2019.
- https://doi.org/10.2991/icem-18.2019.107How to use a DOI?
- Stock Investment Selection Management, Bayesian Model Average Method, Bayesian Naive Classification
- This paper aims to provide a stock selection management method based on bayesian in order to improve the investment management for investors. Firstly, the financial indicators of Shanghai A-shares were extracted, and those that had a significant impact on the stock increase were selected as the characteristic information of the stock by bayesian model average method. Secondly, the stock was classified into high yield stocks and other stocks by the stock characteristic information using naive Bayesian classification method. Finally, compare the increase of classified high yield stocks with the counterpart of benchmark. The results show that the classified high-yield stock by naive bayesian classification rose higher, indicates that the method provides the investors opportunity for higher returns on the stock investment, which is a meaningful method to improve their investment management.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhixuan Gao PY - 2019/03 DA - 2019/03 TI - Stock Investment Selection Management Based on Bayesian Method BT - 2018 8th International Conference on Education and Management (ICEM 2018) PB - Atlantis Press SN - 2352-5428 UR - https://doi.org/10.2991/icem-18.2019.107 DO - https://doi.org/10.2991/icem-18.2019.107 ID - Gao2019/03 ER -