Michael Nofer examines whether and to what extent Social Media can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which largely consist of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to identify opinions on certain companies. Taking Social Media platforms as examples, the author examines the forecasting quality of user generated content on the Internet.domestic investors, living in Germany in our case (see section 4.2 for a discussion on noise traders). ... Therefore we integrate dummy variables for trading days after the weekend (Mondayt) and national holidays. Further, the tax dummy variable equals 1 for December 28, 2012 (last trading day of the tax year) as well as January 2a8, 2013 (first five trading days of the tax year) in order to account foranbsp;...
|Title||:||The Value of Social Media for Predicting Stock Returns|
|Publisher||:||Springer - 2015-04-21|