Decoding GPT mania in chinese stock market
Publication Type
Conference Proceeding Article
Publication Date
8-2024
Abstract
This study investigates the impact of investor attention on stock market reactions to ChatGPT using dialogues on the Chinese interactive investor platforms (IIPs). We measure investor attention by the number of investors’ questions toward ChatGPT on the IIPs and categorize the firms’ answers as Investing, Speculative, and Absent. The research reveals positive and statistically significant market reactions surrounding the initial questions that occur before firm responses. Positive abnormal returns are also observed around the initial answer dates, with Investing firms evoking the highest market response, followed by Speculative firms, and Absent firms exhibiting the lowest reactions. Our results suggest that the stock price upswing may primarily be fueled by ChatGPT-related mania.
Keywords
Investor attention, Natural language processing, GPT mania
Discipline
Computer Sciences | Databases and Information Systems
Publication
Proceedings of the Americas Conference on Information Systems (AMCIS 2024) : Salt Lake City, Utah, USA, August 15-17
Publisher
AMCIS
City or Country
Salt Lake City, USA
Citation
MA, Yan; HU, Nan; and JIA, Shuyang.
Decoding GPT mania in chinese stock market. (2024). Proceedings of the Americas Conference on Information Systems (AMCIS 2024) : Salt Lake City, Utah, USA, August 15-17.
Available at: https://ink.library.smu.edu.sg/sis_research/9791