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ChatGPT: Unlocking the future of NLP in finance

Author

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  • Adam Zaremba

  • Ender Demir

Abstract

This paper reviews the current state of ChatGPT technology in finance and its potential to improve existing NLP-based financial applications. We discuss the ethical and regulatory considerations, as well as potential future research directions in the field. The literature suggests that ChatGPT has the potential to improve NLP-based financial applications, but also raises ethical and regulatory concerns that need to be addressed. The paper highlights the need for research in robustness, interpretability, and ethical considerations to ensure responsible use of ChatGPT technology in finance.

Suggested Citation

  • Adam Zaremba & Ender Demir, 2023. "ChatGPT: Unlocking the future of NLP in finance," Modern Finance, Modern Finance Institute, vol. 1(1), pages 93-98.
    • Handle: RePEc:bdy:modfin:v:1:y:2023:i:1:p:93-98:id:43
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    File URL: https://mf-journal.com/article/view/43
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    Citations

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    Cited by:

    1. Zhisheng Chen, 2025. "Revolutionizing finance with conversational AI: a focus on ChatGPT implementation and challenges," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
    2. Zifeng Feng & Gangqing Hu & Bingxin Li & Jinge Wang, 2025. "Unleashing the power of ChatGPT in finance research: opportunities and challenges," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-26, December.
    3. Denisa Millo & Blerina Vika & Nevila Baci, 2024. "Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations," Papers 2412.20438, arXiv.org.
    4. Hassnian Ali & Ahmet Faruk Aysan, 2023. "What will ChatGPT revolutionize in the financial industry?," Modern Finance, Modern Finance Institute, vol. 1(1), pages 116-129.
    5. Saggu, Aman & Ante, Lennart, 2023. "The influence of ChatGPT on artificial intelligence related crypto assets: Evidence from a synthetic control analysis," Finance Research Letters, Elsevier, vol. 55(PB).
    6. Alina Voronina & Oleksandr Romanko & Ruiwen Cao & Roy H. Kwon & Rafael Mendoza-Arriaga, 2025. "Generative AI-enhanced Sector-based Investment Portfolio Construction," Papers 2512.24526, arXiv.org.
    7. Georgios Fatouros & Konstantinos Metaxas & John Soldatos & Dimosthenis Kyriazis, 2024. "Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection," Papers 2401.03737, arXiv.org, revised Apr 2024.
    8. Ullah, Rafid & Ismail, Hishamuddin Bin & Islam Khan, Mohammad Tariqul & Zeb, Ali, 2024. "Nexus between Chat GPT usage dimensions and investment decisions making in Pakistan: Moderating role of financial literacy," Technology in Society, Elsevier, vol. 76(C).
    9. Li, Xiaoyu & Jia, Shuyang & Xue, Fujing & Hu, Nan, 2025. "How investors’ ChatGPT attention influence stock market? A liquidity perspective," Research in International Business and Finance, Elsevier, vol. 77(PB).
    10. Dong, Mengming Michael & Stratopoulos, Theophanis C. & Wang, Victor Xiaoqi, 2024. "A scoping review of ChatGPT research in accounting and finance," International Journal of Accounting Information Systems, Elsevier, vol. 55(C).

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