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This paper presents AWARE-FX, an auditable AI/NLP decision-support system that extracts and scores corporate foreign-exchange hedging disclosures from annual reports, evaluated on 24,909 Hong Kong firm-years with FinBERT, ModernBERT, and Qwen3-8B comparisons.
This paper explores replacing scalar sentiment scores with high-dimensional FinBERT embeddings in a Transformer-based architecture for short-term stock price prediction, showing improved accuracy with Siamese-optimized embeddings.