利用 ChatGPT 生成预测性金融因子:金融分析和预测的新领域

Yuhan Cheng, Yuming Zeng, Jie Zou
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摘要

长期以来,寻找公司股票定价中的预测性财务因子一直是会计和金融领域的重点,但传统方法往往需要复杂的主观输入。本文介绍了一种利用 ChatGPT-4 生成基于财务报表结构和关键变量的财务因子的方法,无需数字数据。利用 GPT 的自然语言处理能力和广泛的知识库,我们的方法可以高效地生成对未来回报具有高度预测性的因子,并且随着时间的推移表现出稳健性,不受不同对话窗口变化的影响。回归分析表明,这些因子无法用传统的金融因子进行线性解释。本文凸显了人工智能在革新金融分析和决策方面的潜力。
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Harnessing ChatGPT for predictive financial factor generation: A new frontier in financial analysis and forecasting
The search for predictive financial factors in stock pricing of companies has long been a key focus in accounting and finance, but traditional methods often require complex, subjective inputs. This paper introduces a method using ChatGPT-4 to generate financial factors based on the structure of financial statements and key variables, eliminating the need for numerical data. Leveraging GPT’s natural language processing capabilities and extensive knowledge base, our approach efficiently generates factors that are highly predictive of future returns and exhibit robustness over time, unaffected by variations in different conversational windows. Regression analysis demonstrates that these factors cannot be linearly explained by traditional financial factors. This paper highlights AI’s potential in revolutionizing financial analysis and decision-making.
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