人工智能驱动的金融分析:探索 ChatGPT 的能力和挑战

IF 2.1 Q2 BUSINESS, FINANCE International Journal of Financial Studies Pub Date : 2024-06-27 DOI:10.3390/ijfs12030060
Li Xian Liu, Zhiyue Sun, Kunpeng Xu, Chao Chen
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引用次数: 0

摘要

人工智能技术对金融行业的变革性影响一直是人们日益关注的话题。本研究调查了 ChatGPT 在金融推理和分析中的应用,并评估了 ChatGPT-4o 在执行基本和复杂金融分析任务时的有效性和局限性。通过设计一系列多步骤高级推理任务和建立特定任务的评估指标,我们评估了 ChatGPT-4o 与人类分析师相比的性能。结果表明,虽然 ChatGPT-4o 能熟练完成基本和部分复杂的金融任务,但在深度分析和批判性思维任务方面,尤其是在专业金融领域,它却显得力不从心。这项研究强调,在人工智能金融应用中需要细致的任务制定和稳健的评估。虽然 ChatGPT 可以提高效率,但将其与人类专业知识相结合对于有效决策至关重要。我们的研究结果强调了 ChatGPT-4o 在金融分析中的潜力和局限性,为未来人工智能与金融领域的结合提供了宝贵的见解。
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AI-Driven Financial Analysis: Exploring ChatGPT’s Capabilities and Challenges
The transformative impact of AI technologies on the financial sector has been a topic of increasing interest. This study investigates ChatGPT’s applications in financial reasoning and analysis and evaluates ChatGPT-4o’s effectiveness and limitations in conducting both basic and complex financial analysis tasks. By designing a series of multi-step, advanced reasoning tasks and establishing task-specific evaluation metrics, we assessed ChatGPT-4o’s performance compared to human analysts. Results indicate that while ChatGPT-4o demonstrates proficiency in basic and some complex financial tasks, it struggles with deep analytical and critical thinking tasks, especially in specialized finance areas. This study underscores the need for meticulous task formulation and robust evaluation in AI financial applications. While ChatGPT enhances efficiency, integrating it with human expertise is crucial for effective decision-making. Our findings highlight both the potential and limitations of ChatGPT-4o in financial analysis, providing valuable insights for future AI integration in the finance sector.
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来源期刊
CiteScore
3.70
自引率
8.70%
发文量
100
审稿时长
11 weeks
期刊最新文献
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