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Published by Springer Vieweg 2015-05-31, 2015
ISBN 10: 3658095075 ISBN 13: 9783658095079
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Published by Vieweg + Teubner Verlag, 2015
ISBN 10: 3658095075 ISBN 13: 9783658095079
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Published by Springer Fachmedien Wiesbaden, 2015
ISBN 10: 3658095075 ISBN 13: 9783658095079
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Published by Springer Fachmedien Wiesbaden, 2015
ISBN 10: 3658095075 ISBN 13: 9783658095079
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Taschenbuch. Condition: Neu. The Value of Social Media for Predicting Stock Returns | Preconditions, Instruments and Performance Analysis | Michael Nofer | Taschenbuch | xvii | Englisch | 2015 | Springer | EAN 9783658095079 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer Fachmedien Wiesbaden Mai 2015, 2015
ISBN 10: 3658095075 ISBN 13: 9783658095079
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 148 pp. Englisch.