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The Value of Social Media for Predicting Stock Returns

Preconditions, Instruments and Performance Analysis

Michael Nofer (Autor)

Buch | Softcover

XVII, 128 Seiten

2015
Springer Fachmedien Wiesbaden GmbH (Verlag)
9783658095079 (ISBN)

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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.

Michael Nofer wrote his dissertation at the Chair of Information Systems | Electronic Markets at TU Darmstadt, Germany.

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.

Erscheint lt. Verlag	5.5.2015
Zusatzinfo	XVII, 128 p. 10 illus.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Gewicht	204 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Schlagworte	Big Data • predictive analytics • Social Media platforms • Stock Prediction Community • Twitter • Wisdom of Crowds
ISBN-13	9783658095079 / 9783658095079
Zustand	Neuware