
The Comparsion of Stock Return Prediction for Random Forest, Ordinary Least Square, and XGBoost
Author(s) -
Junsheng Wang
Publication year - 2022
Publication title -
bcp business and management
Language(s) - English
Resource type - Journals
ISSN - 2692-6156
DOI - 10.54691/bcpbm.v26i.2028
Subject(s) - ordinary least squares , stock market , econometrics , random forest , stock (firearms) , random effects model , statistics , computer science , economics , mathematics , artificial intelligence , geography , medicine , context (archaeology) , meta analysis , archaeology