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A Novel Multimodal Cross-attention Method for Corporate Financial Risk Prediction
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DOI：10.1016/j.asoc.2026.116167.png)
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Abstract
En 中文
• Propose a tri-modal framework for financial risk prediction (FRP) • Develop a cross-attention-based multimodal fusion strategy for deep feature integration • Unlock the predictive value of stock trend images as visual market signals • Provide empirical evidence on the relative importance of different data modalities • Enhance model interpretability to support more informed financial decision-making
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6.6
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4.8W
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