A new study published on arXiv explores the connection between public mood expressed on X (formerly Twitter) and stock market performance in Turkey. Researchers analyzed over 610,000 posts from 176 curated X accounts between January 2022 and December 2023, using fine-tuned Turkish transformer models to classify public mood across different communication domains. The findings indicate that public mood is not associated with the direction of stock market returns but does correlate with the magnitude of price movements, especially in communications related to media, society, and the economy. These relationships were found to be stronger at longer aggregation frequencies, with predictive relationships concentrated in economy and finance communication, particularly during the 2023 election period. AI
IMPACT This research demonstrates how domain-specific public mood, analyzed using AI models, can offer insights into financial market dynamics.
RANK_REASON Academic paper published on arXiv detailing a research study. [lever_c_demoted from research: ic=1 ai=0.7]
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