Financial Trading Strategy System Based on Machine Learning
Joint Authors
Chen, Yanjun
Liu, Kun
Xie, Yuantao
Hu, Mingyu
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-28
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The long-term and short-term volatilities of financial market, combined with the complex influence of linear and nonlinear information, make the prediction of stock price extremely difficult.
This paper breaks away from the traditional research framework of increasing the number of explanatory variables to improve the explanatory ability of multifactor model and provides a new financial trading strategy system by introducing Light Gradient Boosting Machine (LightGBM) algorithm into stock price prediction and by constructing the minimum variance portfolio of mean-variance model with Conditional Value at Risk (CVaR) constraint.
The new system can capture the nonlinear relationship between pricing factors without specific distributions.
The system uses Exclusive Feature Bundling to solve the problem of sparse high-dimensional feature matrix in financial data, so as to improve the ability of predicting stock price, and it can also intuitively screen variables with high impact through the factor importance score.
Furthermore, the risk assessment based on CVaR in the system is more sufficient and consistent than the traditional portfolio theory.
The experiments on China’s stock market from 2008 to 2018 show that the trading strategy system provides a strong logical basis and practical effect for China’s financial market decision.
American Psychological Association (APA)
Chen, Yanjun& Liu, Kun& Xie, Yuantao& Hu, Mingyu. 2020. Financial Trading Strategy System Based on Machine Learning. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1194513
Modern Language Association (MLA)
Chen, Yanjun…[et al.]. Financial Trading Strategy System Based on Machine Learning. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1194513
American Medical Association (AMA)
Chen, Yanjun& Liu, Kun& Xie, Yuantao& Hu, Mingyu. Financial Trading Strategy System Based on Machine Learning. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1194513
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194513