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

Yun Liu, Dengshi Huang, Jianan Zhou and Sirui Wang

Accounting and Finance, 2024, vol. 64, issue 4, 4447-4472

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.

Date: 2024
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