The Value of Social Media for Predicting Stock Returns - Preconditions, Instruments and Performance Analysis
The cumulative dissertation of Michael Nofer examines whether Social Media platforms can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which consist largely of user generated content. For instance, emotions can be extracted in order...
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| Format: | Others |
| Language: | German en |
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2014
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| Online Access: | https://tuprints.ulb.tu-darmstadt.de/4286/1/Value_of_Social_Media_for_Predicting_Stock_Returns.pdf Nofer, Michael <http://tuprints.ulb.tu-darmstadt.de/view/person/Nofer=3AMichael=3A=3A.html> (2014): The Value of Social Media for Predicting Stock Returns - Preconditions, Instruments and Performance Analysis.Darmstadt, Technische Universität, [Ph.D. Thesis] |
Internet
https://tuprints.ulb.tu-darmstadt.de/4286/1/Value_of_Social_Media_for_Predicting_Stock_Returns.pdfNofer, Michael <http://tuprints.ulb.tu-darmstadt.de/view/person/Nofer=3AMichael=3A=3A.html> (2014): The Value of Social Media for Predicting Stock Returns - Preconditions, Instruments and Performance Analysis.Darmstadt, Technische Universität, [Ph.D. Thesis]