Volume 64, Issue 4 pp. 4447-4472
RESEARCH ARTICLE

Does image sentiment of major public emergency affect the stock market performance? New insight from deep learning techniques

Yun Liu

Yun Liu

School of Economics and Management, Southwest Jiaotong University, Chengdu, China

Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China

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Dengshi Huang

Dengshi Huang

School of Economics and Management, Southwest Jiaotong University, Chengdu, China

Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China

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Jianan Zhou

Corresponding 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]

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Sirui Wang

Sirui Wang

School of Economics and Management, Southwest Jiaotong University, Chengdu, China

Service Science and Innovation Key Laboratory of Sichuan Province, Chengdu, China

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First published: 14 August 2024

Abstract

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.

DATA AVAILABILITY STATEMENT

The datasets generated and analysed during the study are not publicly available but are available from the corresponding author upon request.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.