2000 character limit reached
Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry (1507.00784v3)
Published 2 Jul 2015 in cs.CY, cs.SI, and q-fin.CP
Abstract: This paper presents a financial analysis over Twitter sentiment analytics extracted from listed retail brands. We investigate whether there is statistically-significant information between the Twitter sentiment and volume, and stock returns and volatility. Traditional newswires are also considered as a proxy for the market sentiment for comparative purpose. The results suggest that social media is indeed a valuable source in the analysis of the financial dynamics in the retail sector even when compared to mainstream news such as the Wall Street Journal and Dow Jones Newswires.