Does image sentiment of major public emergency affect the stock market performance? New insight from deep learning techniques
Yun Liu
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China
Search for more papers by this authorDengshi Huang
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China
Search for more papers by this authorCorresponding Author
Jianan Zhou
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China
Correspondence
Jianan Zhou, School of Economics and Management, Southwest Jiaotong University, Chengdu, China.
Email: [email protected]
Search for more papers by this authorSirui Wang
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China
Search for more papers by this authorYun Liu
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China
Search for more papers by this authorDengshi Huang
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China
Search for more papers by this authorCorresponding Author
Jianan Zhou
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China
Correspondence
Jianan Zhou, School of Economics and Management, Southwest Jiaotong University, Chengdu, China.
Email: [email protected]
Search for more papers by this authorSirui Wang
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China
Search for more papers by this authorAbstract
Leveraging deep learning to analyse COVID-19 image sentiment, this study reveals its significant impact on stock market dynamics. It highlights how vivid imagery prompts marked emotional responses, altering market performance and how news sentiment can modulate this effect. Further, it underscores the pivotal role of forum-based investor sentiment, particularly affecting small-minus-big stocks during downturns and trading week commencements. This research not only advances behavioural finance understanding but also informs management and regulatory strategies.
Open Research
DATA AVAILABILITY STATEMENT
The datasets generated and analysed during the study are not publicly available but are available from the corresponding author upon request.
Supporting Information
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Appendices S1-S3 |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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