Document Type
Conference Proceeding
Publication Date
2015
Abstract
While social media sentiment has been proved to have predictive value for stock indices, it is intriguing to investigate if it is useful for predicting price changes for individual stocks. We focus on a special kind of stocks, big movers, i.e., stocks that undergo a drastic one-day price change, and a special kind of social media, online stock discussion forums. Based on an empirical study, our research shows that discussions during the days lead up to the big one-day price change do contain sentiments that can be used to predict big movers. The findings of our research have theoretical implications for future research on social media sentiment and practical implications for developing stock investment strategies.
Recommended Citation
Al-Ramahi, M., El-Gayar, O., Liu, J., & Chang, Y. (2015). Predicting big movers based on online stock forum sentiment analysis. 2015 Americas Conference on Information Systems, AMCIS 2015.