... emphasize their limitations. To overcome these limitations Kok et al. (2017) recommend the application of tree ensemble methods like the random forest algorithm. One of the first studies to highlight the need of ensemble methods to improve prediction power was introduced by Breiman (2001...

...Wei Kang Loo Purpose The purpose of this study is to evaluate the performance of the ensemble learning models, such as the Random Forest and Extreme Gradient Boosting models, in predicting the direction of the Japan real estate investment trusts (J-REITs) at different return horizons, based...