Research on Stock Selection Strategy Based on AdaBoost Algorithm-Reference-Cited by-同舟云学术

Research on Stock Selection Strategy Based on AdaBoost Algorithm

Published:2020-10-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Computer Science and Application Engineering
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Author:

Chen Yanyu¹,Li Xuechen²,Sun Wei³

Affiliation:

1. School of Mathematics and Statistics, Shandong University, Weihai, China

2. School of Business, Shandong University, Weihai, China

3. School of Mathematics and Statistics, School of Mechanics, Electrical and Information Engineering, Shandong University Weihai, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3424978.3425084

Reference14 articles.

1. French E F F A (1993). Common risk factors in the returns on stocks and bonds*1. Journal of Financial Economics (No.1) p. 3--56 45(9) 22--27. French E F F A (1993). Common risk factors in the returns on stocks and bonds*1. Journal of Financial Economics (No.1) p. 3--56 45(9) 22--27.

2. Chen L Qiao Z Wang M etal (2018). Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market? IEEE Access 48625--48633. Chen L Qiao Z Wang M et al. (2018). Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market? IEEE Access 48625--48633.

3. Stock market analysis using social networks

4. An SVM improvement prediction in multifactor model for stocks selection;Zhang W N;Application of Electronic Technique,2019

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