IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v58y2023ipcs1544612323009480.html
   My bibliography  Save this article

Unleashing the wordsmith: Analysing the stock market reactions to the launch of ChatGPT in the US Education sector

Author

Listed:
  • Wahyono, Budi
  • Rapih, Subroto
  • Boungou, Whelsy

Abstract

Is the stock market reacting to the launch of ChatGPT? This study examines the reaction of US education firms to the introduction of ChatGPT, an advanced language model. Our event study methodology reveals a significantly negative investor reaction to the launch of ChatGPT in US education stocks. Furthermore, we observe that responses were more pronounced for education and training services companies (traditional) than for professional and technology services companies (technology-based). In so doing, this article sheds new light on the responses of the stock market to the launch of ChatGPT.

Suggested Citation

  • Wahyono, Budi & Rapih, Subroto & Boungou, Whelsy, 2023. "Unleashing the wordsmith: Analysing the stock market reactions to the launch of ChatGPT in the US Education sector," Finance Research Letters, Elsevier, vol. 58(PC).
  • Handle: RePEc:eee:finlet:v:58:y:2023:i:pc:s1544612323009480
    DOI: 10.1016/j.frl.2023.104576
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323009480
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2023.104576?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Chris Stokel-Walker & Richard Van Noorden, 2023. "What ChatGPT and generative AI mean for science," Nature, Nature, vol. 614(7947), pages 214-216, February.
    2. 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).
    3. Boungou, Whelsy & Yatié, Alhonita, 2022. "The impact of the Ukraine–Russia war on world stock market returns," Economics Letters, Elsevier, vol. 215(C).
    4. James W. Kolari & Seppo Pynnönen, 2010. "Event Study Testing with Cross-sectional Correlation of Abnormal Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(11), pages 3996-4025, November.
    5. Zhi Da & Joseph Engelberg & Pengjie Gao, 2015. "Editor's Choice The Sum of All FEARS Investor Sentiment and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 1-32.
    6. Liu, Li & Ma, Feng & Wang, Yudong, 2015. "Forecasting excess stock returns with crude oil market data," Energy Economics, Elsevier, vol. 48(C), pages 316-324.
    7. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    8. Dowling, Michael & Lucey, Brian, 2023. "ChatGPT for (Finance) research: The Bananarama Conjecture," Finance Research Letters, Elsevier, vol. 53(C).
    9. Phan, Dinh Hoang Bach & Sharma, Susan Sunila & Tran, Vuong Thao, 2018. "Can economic policy uncertainty predict stock returns? Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 134-150.
    10. Sadok El Ghoul & Omrane Guedhami & Sattar A. Mansi & Oumar Sy, 2023. "Event studies in international finance research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(2), pages 344-364, March.
    11. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    12. Ma, Feng & Lu, Fei & Tao, Ying, 2022. "Geopolitical risk and excess stock returns predictability: New evidence from a century of data," Finance Research Letters, Elsevier, vol. 50(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. Lian, Ying & Tang, Huiting & Xiang, Mengting & Dong, Xuefan, 2024. "Public attitudes and sentiments toward ChatGPT in China: A text mining analysis based on social media," Technology in Society, Elsevier, vol. 76(C).
    2. 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).

    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. Whelsy Boungou & Alhonita YATIE, 2022. "Climate change and global stock market returns," Economics Bulletin, AccessEcon, vol. 42(4), pages 1888-1900.
    2. Friedrich, Christian & Quick, Reiner, 2024. "Do non-audit service failures impair auditor reputation? An analysis of KPMG advisory service scandals in Germany," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 98(C).
    3. Szymon Lis, 2022. "Investor Sentiment in Asset Pricing Models: A Review," Working Papers 2022-14, Faculty of Economic Sciences, University of Warsaw.
    4. 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).
    5. Luca Aguzzoni & Gregor Langus & Massimo Motta, 2013. "The Effect of EU Antitrust Investigations and Fines on a Firm's Valuation," Journal of Industrial Economics, Wiley Blackwell, vol. 61(2), pages 290-338, June.
    6. Derrick W. H. Fung & Charles C. Yang & Jason J. H. Yeh, 2024. "The market price to embedded value gap: an analysis of European life insurers," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 69-96, January.
    7. Philip Barrett & Mariia Bondar & Sophia Chen & Mali Chivakul & Deniz Igan, 2024. "Pricing protest: the response of financial markets to social unrest," Review of Finance, European Finance Association, vol. 28(4), pages 1419-1450.
    8. Monica Martinez-Blasco & Vanessa Serrano & Francesc Prior & Jordi Cuadros, 2023. "Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    9. Ricci, Ornella, 2015. "The impact of monetary policy announcements on the stock price of large European banks during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 245-255.
    10. Mukanjari, Samson & Sterner, Thomas, 2018. "Do Markets Trump Politics? Evidence from Fossil Market Reactions to the Paris Agreement and the U.S. Election," Working Papers in Economics 728, University of Gothenburg, Department of Economics.
    11. Andrieș, Alin Marius & Ongena, Steven & Sprincean, Nicu, 2021. "The COVID-19 Pandemic and Sovereign Bond Risk," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    12. Furdui Călin & Șfabu Dorina Teodora, 2023. "The European Banks Under the Shock of the Russian Invasion of 2022: An Event Study Approach," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 68(1), pages 62-77, April.
    13. Papadamou, Stephanos & Fassas, Athanasios P. & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2023. "Effects of the first wave of COVID-19 pandemic on implied stock market volatility: International evidence using a google trend measure," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    14. Andrea Schertler & Jarmo Beurden, 2023. "How relative competitive strength moderates stock price responses after European soccer tournaments," Journal of Business Economics, Springer, vol. 93(8), pages 1385-1414, October.
    15. Petr Jakubik & Saida Teleu, 2024. "Do insurance stress tests matter? Evidence from the EU-wide insurance stress tests," Risk Management, Palgrave Macmillan, vol. 26(3), pages 1-27, September.
    16. Bryan Fong, 2021. "Analysing the behavioural finance impact of 'fake news' phenomena on financial markets: a representative agent model and empirical validation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-30, December.
    17. Gabriele Ranco & Darko Aleksovski & Guido Caldarelli & Miha Grčar & Igor Mozetič, 2015. "The Effects of Twitter Sentiment on Stock Price Returns," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-21, September.
    18. Sturm, Philipp, 2013. "Operational and reputational risk in the European banking industry: The market reaction to operational risk events," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 191-206.
    19. Stig Vinther Møller & Thomas Pedersen & Erik Christian Montes Schütte & Allan Timmermann, 2024. "Search and Predictability of Prices in the Housing Market," Management Science, INFORMS, vol. 70(1), pages 415-438, January.
    20. Wen, Fenghua & Xu, Longhao & Ouyang, Guangda & Kou, Gang, 2019. "Retail investor attention and stock price crash risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 65(C).

    More about this item

    Keywords

    ChatGPT; Education stocks; Artificial intelligence; Stock market;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • 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:finlet:v:58:y:2023:i:pc:s1544612323009480. 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/frl .

    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.