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The value of social media for predicting stock returns : preconditions, instruments and performance analysis Michael Nofer; with a foreword by Oliver Hinz

By: Contributor(s): Material type: TextTextSeries: Publication details: Wiesbaden : Springer Vieweg, c2015.Description: xvi, 128 p. : ill. ; 21 cmISBN:
  • 978-3658095079
Subject(s): DDC classification:
  • 332.632220112 NO VA
Online resources: Summary: 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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Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 332.632220112 NO VA (Browse shelf(Opens below)) Available T0017696

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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