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The Value of Social Media for Predicting Stock Returns

Preconditions, Instruments and Performance Analysis

Authors: Nofer, Michael

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  • Publication in the field of technical sciences

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About this book

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.

About the authors

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

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook 53,49 €
price for Spain (gross)
  • ISBN 978-3-658-09508-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 68,03 €
price for Spain (gross)
  • ISBN 978-3-658-09507-9
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
The Value of Social Media for Predicting Stock Returns
Book Subtitle
Preconditions, Instruments and Performance Analysis
Authors
Copyright
2015
Publisher
Springer Vieweg
Copyright Holder
Springer Fachmedien Wiesbaden
eBook ISBN
978-3-658-09508-6
DOI
10.1007/978-3-658-09508-6
Softcover ISBN
978-3-658-09507-9
Edition Number
1
Number of Pages
XVII, 128
Number of Illustrations
10 b/w illustrations
Topics

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