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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nofer, Michael (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2015.
Edición:1st ed. 2015.
Temas:
Data mining.
Macroeconomics.
Business information services.
Data Mining and Knowledge Discovery.
Macroeconomics and Monetary Economics.
IT in Business.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares