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

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  • Yun Liu
  • Dengshi Huang
  • Jianan Zhou
  • Sirui Wang

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.

Suggested Citation

  • Yun Liu & Dengshi Huang & Jianan Zhou & Sirui Wang, 2024. "Does image sentiment of major public emergency affect the stock market performance? New insight from deep learning techniques," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(4), pages 4447-4472, December.
    • Handle: RePEc:bla:acctfi:v:64:y:2024:i:4:p:4447-4472
    DOI: 10.1111/acfi.13313
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