The Value of Social Media for Predicting Stock Returns Preconditions, Instruments and Performance Analysis /

• Κύριος συγγραφέας: Nofer, Michael (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2015.
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Data mining.; Macroeconomics.; Computer Science.; Data Mining and Knowledge Discovery.; Macroeconomics/Monetary Economics//Financial Economics.; IT in Business.

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 invest...

Πίνακας περιεχομένων:

• Introduction
• Market Anomalies on Two-Sided Auction Platforms
• Are Crowds on the Internet Wiser than Experts? – The Case of a Stock Prediction Community
• Using Twitter to Predict the Stock Market: Where is the Mood Effect?
• The Economic Impact of Privacy Violations and Security Breaches – A Laboratory Experiment
• Literature.