The paper develops a four-layer AI agent architecture and the Agentic Financial Market Model linking agent parameters such as autonomy and coupling to market efficiency, liquidity, and systemic risk, with an exploratory event-study application.
Pal: Program-aided language models
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A survey synthesizing recent LLM research and assessing its applicability to financial data analysis.
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AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications
The paper develops a four-layer AI agent architecture and the Agentic Financial Market Model linking agent parameters such as autonomy and coupling to market efficiency, liquidity, and systemic risk, with an exploratory event-study application.
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Bridging Language Models and Financial Analysis
A survey synthesizing recent LLM research and assessing its applicability to financial data analysis.