Return
Machine learning predicts stablecoin
DOI:10.1016/j.frl.2025.108444.png)
Abstract
En 中文
• Employs machine learning methods to predict stablecoin’s return. • Investor attention proxies can effectively enhance predictive accuracy. • SHapley Additive exPlanations (SHAP) is employed. • SHAP indicates investor attention play an important role in predicting stablecoin.
Journal
IF:
6.9
Papers:
9.0K
Citations:
2.8W
Organization
No organization information available

