AI-Driven Financial Analysis: Exploring ChatGPT’s Capabilities and Challenges

Author:

Liu Li Xian1ORCID,Sun Zhiyue2ORCID,Xu Kunpeng3,Chen Chao4

Affiliation:

1. College of Business, Law & Governance, James Cook University, 1 James Cook Drive, Douglas, QLD 4811, Australia

2. School of Accounting, Economics & Finance, Curtin University, Kent Street, Perth, WA 6102, Australia

3. School of Statistics and Information, Shanghai University of International Business and Economics, 1900 Wenxiang Rd, Songjiang District, Shanghai 201613, China

4. Accounting, Information System and Supply Chain, RMIT University, 124 La Trobe St, Melbourne, VIC 3000, Australia

Abstract

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.

Publisher

MDPI AG

Reference43 articles.

1. Artificial Intelligence and Machine Learning in Finance: A Bibliometric Review;Ahmed;Research in International Business and Finance,2022

2. Blesiada, Jamie (2024, May 16). Expedia Group Gives Users the Opportunity to Test New Technology. Tavel Weekly, Available online: https://www.travelweekly.com/Travel-News/Travel-Technology/Expedia-Group-gives-users-opportunity-test-new-technology.

3. Bodie, Zvi, Kane, Alex, and Marcus, Alan J. (2022). Essentials of Investments, McGraw Hill LLC. [12th ed.].

4. Twitter Mood Predicts the Stock Market;Bollen;Journal of Computational Science,2011

5. What’s the Ttone? Easy doesn’t Do It: Analyzing Performance and Agreement between Off-the-shelf Sentiment Analysis Tools;Boukes;Communication Methods and Measures,2020

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