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Machine learning predicts stablecoin

delete2025-09-11
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PRE
AI
X
Xiangjin Liu
D
Dehua Shen *
DOI:10.1016/j.frl.2025.108444delete
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Abstract

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

Finance Research Letters cover
Finance Research Letters
IF:
6.9
Papers:
9.0K
Citations:
2.8W

Organization

No organization information available