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The Value of Social Media for Predicting Stock Returns Preconditions, Instruments and Performance Analysis

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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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Publisher

Springer Fachmedien Wiesbaden : Springer Vieweg Wiesbaden., 2015

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Language

English

ISBN/ISSN

978-3-658-09508-6

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NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

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Subject(s)

Data Mining and Knowledge Discovery
IT in Business

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Statement of Responsibility

Michael Nofer

Other Information

Cataloger

Yudi

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