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Englisch
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Beschreibung
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 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.
Über den Autor
Michael Nofer wrote his dissertation at the Chair of Information Systems | Electronic Markets at TU Darmstadt, Germany.
Zusammenfassung
Publication in the field of technical sciences
Includes supplementary material: [...]
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: | 2015 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xvii
128 S. 10 s/w Illustr. 128 p. 10 illus. |
ISBN-13: | 9783658095079 |
ISBN-10: | 3658095075 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Nofer, Michael |
Hersteller: |
Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH |
Maße: | 210 x 148 x 9 mm |
Von/Mit: | Michael Nofer |
Erscheinungsdatum: | 05.05.2015 |
Gewicht: | 0,202 kg |
Über den Autor
Michael Nofer wrote his dissertation at the Chair of Information Systems | Electronic Markets at TU Darmstadt, Germany.
Zusammenfassung
Publication in the field of technical sciences
Includes supplementary material: [...]
Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: | 2015 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: |
xvii
128 S. 10 s/w Illustr. 128 p. 10 illus. |
ISBN-13: | 9783658095079 |
ISBN-10: | 3658095075 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Nofer, Michael |
Hersteller: |
Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH |
Maße: | 210 x 148 x 9 mm |
Von/Mit: | Michael Nofer |
Erscheinungsdatum: | 05.05.2015 |
Gewicht: | 0,202 kg |
Warnhinweis