A First Look at Financial Data Analysis Using ChatGPT-4o
A First Look at Financial Data Analysis Using ChatGPT-4o ArXiv ID: ssrn-4849578 “View on arXiv” Authors: Unknown Abstract OpenAI’s new flagship model, ChatGPT-4o, released on May 13, 2024, offers enhanced natural language understanding and more coherent responses. In this paper, we Keywords: Large Language Models (LLMs), Natural Language Processing, Generative AI, AI Evaluation, Model Performance, Technology/AI Complexity vs Empirical Score Math Complexity: 4.0/10 Empirical Rigor: 6.5/10 Quadrant: Street Traders Why: The paper involves implementing and comparing specific financial models like ARMA-GARCH, indicating moderate-to-high implementation complexity, but the core mathematics is largely descriptive and comparative rather than novel. Empirical rigor is high due to the use of real datasets (CRSP, Fama-French) and direct backtesting comparisons against Stata. flowchart TD A["Research Goal: Evaluate ChatGPT-4o for Financial Data Analysis"] --> B["Methodology: Zero-shot vs. Chain-of-Thought"] B --> C["Input: Financial Statements & Market Data"] C --> D["Process: Text Generation & Sentiment Analysis"] D --> E["Output: Financial Predictions & Explanations"] E --> F["Key Findings: High Accuracy in NLP Tasks"] F --> G["Outcome: Strong Potential but Limited Numerical Reasoning"]