Isbn: 9783658095079 - the value of social media for predicting stock returns: preconditions, instruments and performance analysis (16 risultati)

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Condizione: New. pp. 128.

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Paperback. Condizione: Brand New. 2015 edition. 142 pages. 8.50x6.00x0.50 inches. In Stock.

Taschenbuch. Condizione: 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.…

Condizione: New.

Taschenbuch. Condizione: 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.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: 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.…

Condizione: New. Print on Demand pp. 128.

Condizione: New. PRINT ON DEMAND pp. 128.

Taschenbuch. Condizione: 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.…