The value of social media for predicting stock returns [electronic resource] : preconditions, instruments and performance analysis / Michael Nofer ; with a foreword by Prof. Dr. Oliver Hinz.
2015
HG6015 .N64 2015eb
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Title
The value of social media for predicting stock returns [electronic resource] : preconditions, instruments and performance analysis / Michael Nofer ; with a foreword by Prof. Dr. Oliver Hinz.
Author
Nofer, Michael, author.
ISBN
9783658095086 electronic book
3658095083 electronic book
9783658095079
3658095083 electronic book
9783658095079
Published
Wiesbaden : Springer Vieweg, [2015]
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-658-09508-6 doi
Call Number
HG6015 .N64 2015eb
Dewey Decimal Classification
332.645
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. Contents Market Anomalies on Two-Sided Auction Platforms Are Crowds on the Internet Wiser than Experts? {u2013} 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 {u2013} A Laboratory Experiment Target Groups Scientists and students in the field of IT, finance and business Private investors, institutional investors About the Author Michael Nofer wrote his dissertation at the Chair of Information Systems.
Note
Dissertation, TU Darmstadt, Germany, 2014.
Bibliography, etc. Note
Includes bibliographical references
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Series
Research
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Print version: 9783658095079
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Table of Contents
Introduction
Market Anomalies on Two-Sided Auction Platforms
Are Crowds on the Internet Wiser than Experts? {u2013} 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 {u2013} A Laboratory Experiment
Literature.
Market Anomalies on Two-Sided Auction Platforms
Are Crowds on the Internet Wiser than Experts? {u2013} 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 {u2013} A Laboratory Experiment
Literature.