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

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 invest...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Nofer, Michael (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2015.
Edition:1st ed. 2015.
Subjects:
Data mining.
Macroeconomics.
Business information services.
Data Mining and Knowledge Discovery.
Macroeconomics and Monetary Economics.
IT in Business.
Online Access:Texto Completo
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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