Can News Predict the Market? Limits of Zero-Shot Financial NLP and the Role of Explainable AI
arXiv:2606.12210v1 Announce Type: new Abstract: Can financial news reliably predict short-term stock movements? Despite advances in large language models, this question remains unresolved. We revisit this problem using a zero-shot natural language processing framework, investigating whether models can extract actionable signals from financial news without domain-specific training. We design a structured pipeline that combines zero-shot natural language inference with temporal aggregation, explicitly modelling recency and event-dependent impact horizons when integrating information across artic
The paper leverages recent advancements in large language models (LLMs) and zero-shot learning to address a long-standing challenge in financial natural language processing (NLP), prompted by the improved capabilities of generative AI.
This research provides a framework for extracting actionable financial signals from news without extensive domain-specific training, which could democratize access to sophisticated market intelligence and enhance algorithmic trading strategies.
The ability of general-purpose AI models to derive meaningful insights from unstructured financial text in a zero-shot manner suggests a reduced need for bespoke, human-curated financial NLP systems, potentially lowering barriers to entry for advanced analysis.
- · AI-driven investment funds
- · Financial data providers integrating sophisticated NLP
- · Small to medium-sized investors with access to advanced AI tools
- · Traditional qualitative financial analysts
- · Firms reliant solely on human-curated market sentiment analysis
- · Legacy financial news analysis software
Financial markets will see increased efficiency and potentially faster reaction times to news events as AI-driven analysis becomes more prevalent.
The proliferation of AI-driven market prediction tools could lead to new forms of market manipulation or flash crashes if not properly regulated and understood.
This could fundamentally alter competitive dynamics in financial services, shifting advantage towards those with superior AI infrastructure and data integration capabilities.
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Read at arXiv cs.CL