IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v77y2025ipbs0275531925001953.html

How investors’ ChatGPT attention influence stock market? A liquidity perspective

Author

Listed:
  • Li, Xiaoyu
  • Jia, Shuyang
  • Xue, Fujing
  • Hu, Nan

Abstract

ChatGPT has garnered immense popularity due to its remarkable language proficiency, enabling lifelike conversations and technically advanced responses. This study investigates whether and how investors’ attention to ChatGPT impacts stock liquidity in the financial market. We use the GPT-related questions posted by investors on Chinese Investor Interactive Platforms (IIPs) as a proxy for investors’ attention to a firm’s ChatGPT usage. Utilizing a dataset comprising 206,741 Chinese firm-date observations, we find that firm-level investors’ attention to ChatGPT increases the stock liquidity. This is driven by the decreased information asymmetry and increased probabilities of ChatGPT application among investors. Moreover, the effect is more pronounced for firms with limited AI disclosure, lower financial transparency, fewer analyst coverage, and lower institutional ownership.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:riibaf:v:77:y:2025:i:pb:s0275531925001953
    DOI: 10.1016/j.ribaf.2025.102939
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531925001953
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ribaf.2025.102939?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Denis Davydov & Jarkko Peltomäki, 2023. "Investor attention and the use of leverage," The Financial Review, Eastern Finance Association, vol. 58(2), pages 287-313, May.
    2. Li, Xiafei & Luo, Di, 2019. "Financial constraints, stock liquidity, and stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 63(C).
    3. 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).
    4. Panayiotis Artikis & Georgia Nifora, 2011. "The Industry Effect on the Relationship Between Leverage and Returns," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 1(2), pages 125-145, December.
    5. Aloosh, Arash & Choi, Hyung-Eun & Ouzan, Samuel, 2023. "The tail wagging the dog: How do meme stocks affect market efficiency?," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 68-78.
    6. Debata, Byomakesh & Dash, Saumya Ranjan & Mahakud, Jitendra, 2018. "Investor sentiment and emerging stock market liquidity," Finance Research Letters, Elsevier, vol. 26(C), pages 15-31.
    7. Brockman, Paul & Chung, Dennis Y. & Pérignon, Christophe, 2009. "Commonality in Liquidity: A Global Perspective," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 851-882, August.
    8. Panayiotis G. Artikis & Georgia Nifora, 2011. "The Industry Effect on the Relationship between Leverage and Returns," Eurasian Business Review, Eurasia Business and Economics Society, vol. 1(2), pages 125-144, Fall.
    9. Leippold, Markus, 2023. "Sentiment spin: Attacking financial sentiment with GPT-3," Finance Research Letters, Elsevier, vol. 55(PB).
    10. Gimpel, Henner & Hall, Kristina & Decker, Stefan & Eymann, Torsten & Lämmermann, Luis & Mädche, Alexander & Röglinger, Maximilian & Ruiner, Caroline & Schoch, Manfred & Schoop, Mareike & Urbach, Nils , 2023. "Unlocking the power of generative AI models and systems such as GPT-4 and ChatGPT for higher education: A guide for students and lecturers," Hohenheim Discussion Papers in Business, Economics and Social Sciences 02-2023, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    11. Gopalan, Radhakrishnan & Kadan, Ohad & Pevzner, Mikhail, 2012. "Asset Liquidity and Stock Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(2), pages 333-364, April.
    12. Dowling, Michael & Lucey, Brian, 2023. "ChatGPT for (Finance) research: The Bananarama Conjecture," Finance Research Letters, Elsevier, vol. 53(C).
    13. Yadav, Miklesh Prasad & Abedin, Mohammad Zoynul & Sinha, Neena & Arya, Vandana, 2024. "Uncovering dynamic connectedness of Artificial intelligence stocks with agri-commodity market in wake of COVID-19 and Russia-Ukraine Invasion," Research in International Business and Finance, Elsevier, vol. 67(PA).
    14. Markus Leippold, 2023. "Sentiment Spin: Attacking Financial Sentiment with GPT-3," Swiss Finance Institute Research Paper Series 23-11, Swiss Finance Institute.
    15. Su, Yang & Lucey, Brian M. & Jha, Ashish Kumar, 2024. "Finance Research and the UN Sustainable Development Goals – An analysis and forward look," Research in International Business and Finance, Elsevier, vol. 71(C).
    16. Michael S. Drake & Jared Jennings & Darren T. Roulstone & Jacob R. Thornock, 2017. "The Comovement of Investor Attention," Management Science, INFORMS, vol. 63(9), pages 2847-2867, September.
    17. Carboni, Marika & Dell’Atti, Stefano & Gianfrancesco, Igor & Onorato, Grazia, 2024. "The impact of cyber enforcement actions on stock returns," Research in International Business and Finance, Elsevier, vol. 71(C).
    18. Boone, Audra L. & White, Joshua T., 2015. "The effect of institutional ownership on firm transparency and information production," Journal of Financial Economics, Elsevier, vol. 117(3), pages 508-533.
    19. Adachi, Yuta & Masuda, Motoki & Takeda, Fumiko, 2017. "Google search intensity and its relationship to the returns and liquidity of Japanese startup stocks," Pacific-Basin Finance Journal, Elsevier, vol. 46(PB), pages 243-257.
    20. Leland Bybee, 2023. "Surveying Generative AI's Economic Expectations," Papers 2305.02823, arXiv.org, revised May 2023.
    21. Louis K.C. Chan & Josef Lakonishok, 2004. "Value and Growth Investing: Review and Update," Financial Analysts Journal, Taylor & Francis Journals, vol. 60(1), pages 71-86, January.
    22. Lee, Charles M.C. & Zhong, Qinlin, 2022. "Shall we talk? The role of interactive investor platforms in corporate communication," Journal of Accounting and Economics, Elsevier, vol. 74(2).
    23. Ida Merete Enholm & Emmanouil Papagiannidis & Patrick Mikalef & John Krogstie, 2022. "Artificial Intelligence and Business Value: a Literature Review," Information Systems Frontiers, Springer, vol. 24(5), pages 1709-1734, October.
    24. Kirshner, Samuel N., 2024. "GPT and CLT: The impact of ChatGPT's level of abstraction on consumer recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    25. Adam Zaremba & Ender Demir, 2023. "ChatGPT: Unlocking the future of NLP in finance," Modern Finance, Modern Finance Institute, vol. 1(1), pages 93-98.
    26. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    27. Dang, Man & Puwanenthiren, Premkanth & Nguyen, Manh Toan & Hoang, Viet Anh & Mazur, Mieszko & Henry, Darren, 2022. "Does managerial tone matter for stock liquidity? Evidence from textual disclosures," Finance Research Letters, Elsevier, vol. 48(C).
    28. Seasholes, Mark S. & Wu, Guojun, 2007. "Predictable behavior, profits, and attention," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 590-610, December.
    29. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    30. Ma, Rui & Anderson, Hamish D. & Marshall, Ben R., 2018. "Stock market liquidity and trading activity: Is China different?," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 32-51.
    31. Karolyi, G. Andrew & Lee, Kuan-Hui & van Dijk, Mathijs A., 2012. "Understanding commonality in liquidity around the world," Journal of Financial Economics, Elsevier, vol. 105(1), pages 82-112.
    32. Eli Amir & Baruch Lev & Theodore Sougiannis, 2003. "Do financial analysts get intangibles?," European Accounting Review, Taylor & Francis Journals, vol. 12(4), pages 635-659.
    33. Cheng, Feiyang & Chiao, Chaoshin & Wang, Chunfeng & Fang, Zhenming & Yao, Shouyu, 2021. "Does retail investor attention improve stock liquidity? A dynamic perspective," Economic Modelling, Elsevier, vol. 94(C), pages 170-183.
    34. Leippold, Markus, 2023. "Thus spoke GPT-3: Interviewing a large-language model on climate finance," Finance Research Letters, Elsevier, vol. 53(C).
    35. Shouyu Yao & Ahmet Sensoy & Duc Khuong Nguyen & Tong Li, 2024. "Investor attention and cryptocurrency market liquidity: a double-edged sword," Annals of Operations Research, Springer, vol. 334(1), pages 815-856, March.
    36. Ding, Rong & Hou, Wenxuan, 2015. "Retail investor attention and stock liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 12-26.
    37. Beckmann, Lars & Hark, Paul F., 2024. "ChatGPT and the banking business: Insights from the US stock market on potential implications for banks," Finance Research Letters, Elsevier, vol. 63(C).
    38. Cumming, Douglas & Johan, Sofia & Li, Dan, 2011. "Exchange trading rules and stock market liquidity," Journal of Financial Economics, Elsevier, vol. 99(3), pages 651-671, March.
    39. Fiorillo, Paolo & Meles, Antonio & Pellegrino, Luigi Raffaele & Verdoliva, Vincenzo, 2023. "Geopolitical risk and stock liquidity," Finance Research Letters, Elsevier, vol. 54(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chou, De-Wai & Chen, Chih-Chun & He, Tung-Lin, 2026. "OpenAI's technological announcements: Market reactions and implications," Research in International Business and Finance, Elsevier, vol. 82(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Liu, Jun, 2026. "Stock Liquidity in the Context of Asset Pricing," Other publications TiSEM 5b29c7cf-6d49-44f8-92d6-3, Tilburg University, School of Economics and Management.
    3. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
    4. Smales, Lee A., 2023. "Classification of RBA monetary policy announcements using ChatGPT," Finance Research Letters, Elsevier, vol. 58(PC).
    5. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar & Ramlakhan, Prakash, 2020. "Herding in the Singapore stock Exchange," Journal of Economics and Business, Elsevier, vol. 109(C).
    6. Ma, Rui & Anderson, Hamish D. & Marshall, Ben R., 2019. "Risk perceptions and international stock market liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 94-116.
    7. Pawan Jain & Mohamed Mekhaimer & Ronald W. Spahr & Mark A. Sunderman, 2024. "Freedom of choice impact on country-specific liquidity commonality," Review of Quantitative Finance and Accounting, Springer, vol. 63(1), pages 265-309, July.
    8. Sheng Huang & Jonathan Williams & Ru Xie, 2017. "The Future of Money: Liquidity co-movement between financial institutions and real estate firms: evidence from China," Working Papers 17004, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    9. Chen, Xing & Diao, Xundi & Wu, Chongfeng, 2022. "Heterogeneous investor attention and post earnings announcement drift: Evidence from China," Economic Modelling, Elsevier, vol. 110(C).
    10. Weihan Zhao & Jianing Zhang, 2024. "Investor Attention and Stock Liquidity in the Chinese Market," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 30(1), pages 65-82, February.
    11. Vo, Thi Thuy Anh & Dang, Tung Lam & Dang, Man & Hoang, Viet Anh, 2021. "Institutional ownership and commonality in liquidity," Research in International Business and Finance, Elsevier, vol. 57(C).
    12. Shouyu Yao & Ahmet Sensoy & Duc Khuong Nguyen & Tong Li, 2024. "Investor attention and cryptocurrency market liquidity: a double-edged sword," Annals of Operations Research, Springer, vol. 334(1), pages 815-856, March.
    13. Liyun Zhou & Chunpeng Yang, 2019. "Differences in the effects of seller-initiated versus buyer-initiated crowded trades in stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(4), pages 859-890, December.
    14. Qian, Xiaolin & Tam, Lewis H.K. & Zhang, Bohui, 2014. "Systematic liquidity and the funding liquidity hypothesis," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 304-320.
    15. Huang, Sherena S., 2024. "Liquidity dynamics between virtual and equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    16. Debata, Byomakesh & Dash, Saumya Ranjan & Mahakud, Jitendra, 2018. "Investor sentiment and emerging stock market liquidity," Finance Research Letters, Elsevier, vol. 26(C), pages 15-31.
    17. Walid M. A. Ahmed, 2024. "On the robust drivers of cryptocurrency liquidity: the case of Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
    18. Sahu, Asis Kumar & Debata, Byomakesh & Dash, Saumya Ranjan, 2025. "Managerial sentiment, macroeconomic uncertainty, and stock liquidity: Evidence from India," Finance Research Letters, Elsevier, vol. 85(PA).
    19. Agarwal, Vikas & Hanouna, Paul & Moussawi, Rabih & Stahel, Christof W., 2021. "Do ETFs increase the commonality in liquidity of underlying stocks?," CFR Working Papers 21-04, University of Cologne, Centre for Financial Research (CFR).
    20. Van Ha Nguyen & Thu Thi Ha Dinh & Ngoc Ha Tran & Nam Hoang Vu, 2026. "Green innovation and stock liquidity: empirical evidence from global energy firms," Asia-Pacific Journal of Regional Science, Springer, vol. 10(1), pages 1-25, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:riibaf:v:77:y:2025:i:pb:s0275531925001953. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.