A trillion dollars race—how ChatGPT affects stock prices
Abstract This study examines the short-term stock market impact of ChatGPT-related corporate announcements among the universe of the US-listed companies. Using the event study method, it identifies statistically significant abnormal returns for firms referencing ChatGPT in SEC filings between Januar...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-03-01
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| Series: | Future Business Journal |
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| Online Access: | https://doi.org/10.1186/s43093-025-00470-5 |
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| _version_ | 1850208071992737792 |
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| author | Marcin Pietrzak |
| author_facet | Marcin Pietrzak |
| author_sort | Marcin Pietrzak |
| collection | DOAJ |
| description | Abstract This study examines the short-term stock market impact of ChatGPT-related corporate announcements among the universe of the US-listed companies. Using the event study method, it identifies statistically significant abnormal returns for firms referencing ChatGPT in SEC filings between January and May 2023. The findings reveal sectoral differences: the information technology sector consistently benefits, while financials and energy face heightened risks. Firm-specific factors, such as market capitalization, beta, and company age, are associated with the magnitude of market reactions. This research highlights the transformative potential of generative AI on capital markets and offers valuable insights for investors, policymakers, and future technological adoption. |
| format | Article |
| id | doaj-art-e369c4d62ef041f19bd8ccd691648b18 |
| institution | OA Journals |
| issn | 2314-7210 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Future Business Journal |
| spelling | doaj-art-e369c4d62ef041f19bd8ccd691648b182025-08-20T02:10:19ZengSpringerOpenFuture Business Journal2314-72102025-03-0111111610.1186/s43093-025-00470-5A trillion dollars race—how ChatGPT affects stock pricesMarcin Pietrzak0Institute of Economics, Polish Academy of SciencesAbstract This study examines the short-term stock market impact of ChatGPT-related corporate announcements among the universe of the US-listed companies. Using the event study method, it identifies statistically significant abnormal returns for firms referencing ChatGPT in SEC filings between January and May 2023. The findings reveal sectoral differences: the information technology sector consistently benefits, while financials and energy face heightened risks. Firm-specific factors, such as market capitalization, beta, and company age, are associated with the magnitude of market reactions. This research highlights the transformative potential of generative AI on capital markets and offers valuable insights for investors, policymakers, and future technological adoption.https://doi.org/10.1186/s43093-025-00470-5Market reactionChatGPTAIGenerativeStock marketsEvent study |
| spellingShingle | Marcin Pietrzak A trillion dollars race—how ChatGPT affects stock prices Future Business Journal Market reaction ChatGPT AI Generative Stock markets Event study |
| title | A trillion dollars race—how ChatGPT affects stock prices |
| title_full | A trillion dollars race—how ChatGPT affects stock prices |
| title_fullStr | A trillion dollars race—how ChatGPT affects stock prices |
| title_full_unstemmed | A trillion dollars race—how ChatGPT affects stock prices |
| title_short | A trillion dollars race—how ChatGPT affects stock prices |
| title_sort | trillion dollars race how chatgpt affects stock prices |
| topic | Market reaction ChatGPT AI Generative Stock markets Event study |
| url | https://doi.org/10.1186/s43093-025-00470-5 |
| work_keys_str_mv | AT marcinpietrzak atrilliondollarsracehowchatgptaffectsstockprices AT marcinpietrzak trilliondollarsracehowchatgptaffectsstockprices |