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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Value of Social Media for Predicting Stock Returns: Preconditions, Instruments and Performance Analysis

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

Nofer, Michael

Paperback

Business GeneralInvesting & FinanceDatabases

ISBN10: 3658095075
ISBN13: 9783658095079
Publisher: Springer Nature
Published: May 5 2015
Pages: 128
Weight: 0.44
Height: 0.34 Width: 5.83 Depth: 8.27
Language: English
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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