Deep Learning for Event-Driven Market Prediction: A Transformer-Based Model for Misinformation-Induced Volatility
Misinformation events introduce abrupt, nonlinear distortions in financial markets, posing significant challenges to conventional time-series models that often fail to capture such structural breaks due to assumptions of stationarity and limited contextual awareness. To address this limitation, we develop an Enhanced E...