The Value of Social Media for Predicting Stock Returns: Preconditions, Instruments and Performance Analysis
Author:   Michael Nofer
Publisher:   Springer Fachmedien Wiesbaden
Edition:   2015 ed.
ISBN:  

9783658095079


Pages:   128
Publication Date:   05 May 2015
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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The Value of Social Media for Predicting Stock Returns: Preconditions, Instruments and Performance Analysis


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Overview

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.

Full Product Details

Author:   Michael Nofer
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   2015 ed.
Dimensions:   Width: 14.80cm , Height: 0.90cm , Length: 21.00cm
Weight:   2.006kg
ISBN:  

9783658095079


ISBN 10:   3658095075
Pages:   128
Publication Date:   05 May 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Market Anomalies on Two-Sided Auction Platforms.- Are Crowds on the Internet Wiser than Experts? – The Case of a Stock Prediction Community.- Using Twitter to Predict the Stock Market: Where is the Mood Effect?.- The Economic Impact of Privacy Violations and Security Breaches – A Laboratory Experiment.- Literature.

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Author Information

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

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