OpenAlex
PricingAboutJobs
Log inGet started
Work

Stock index direction forecasting using an explainable eXtreme Gradient Boosting and investor sentiments

HTML

Year: 2022
Type: article
Source: The North American Journal of Economics and Finance
DOI: 10.1016/j.najef.2022.101848
Authors: Shangkun Deng, Xiaoru Huang, Yingke Zhu, Zhihao Su, Zhe Fu, Tatsuro Shimada
Institutions: China Three Gorges University, Shandong University, Beijing Normal University, Keio University
Language: English

Topic: Stock Market Forecasting Methods
Subfield: Management Science and Operations Research
Field: Decision Sciences
Domain: Social Sciences

Open Access status: closed

Funders: Hubei Provincial Department of Education, Natural Science Foundation of Yichang City, Natural Science Foundation of Hubei Province
Awards: G4856040439, G5287882836, G5373906226
OpenAlex ID: W4309947347
FWCI: 4.745
Cites: 24
Cited by: 41
Related to: 10
OpenAlex
Nonprofit
Open DataOpen Data
Open Source
Product
Search
Compare
Pricing
Repositories
Unpaywall
Unsub
Developers
API docs
Data snapshot
Status
Source code
Organization
About
Team
Testimonials
Brand
Jobs
Community
Help center
Contact
Events
Blog
Mailing list
Supporters
Legal
Privacy
Accessibility
Terms