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Critical Insights Into The Design of Big Data Analytics Research - How Twitter "Moods" Predict Stock Exchange Index Movement by 장필식 is a document available to read on EtoBox.

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This research investigates the correlation between South African Twitter moods and the movement of the Johannesburg Stock Exchange (JSE) All Share Index (ALSI). The study found that while most moods did not correlate with the JSE ALSI, a significant negative correlation was observed with the mood of Depression and a significant positive correlation with Fatigue, suggesting that public mood can influence stock market movements. The findings support the behavioral finance theory and highlight the potential fo

Author
장필식
Language
EN