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

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

NOFER, Michael - Personal Name;

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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Series Title: -
Call Number: -
Publisher: : ., 2015
Collation: -
Language: English
ISBN/ISSN: 978-3-658-09508-6
Classification: NONE
Content Type: -
Media Type: computer
Carrier Type: online resource
Edition: -
Subject(s): Data Mining and Knowledge Discovery
IT in Business
Macroeconomics and Monetary Economics
Specific Detail Info: -
Statement of Responsibility: Michael Nofer

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The Value of Social Media for Predicting Stock Returns

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